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<!DOCTYPE html><html lang="en-US" data-reactroot=""><head><title>Hands On With Google Searchs Answer to ChatGPT | WIRED</title><meta charSet="utf-8"/><meta content="IE=edge" http-equiv="X-UA-Compatible"/><meta name="msapplication-tap-highlight" content="no"/><meta name="viewport" content="width=device-width, initial-scale=1"/><meta name="referrer" content="no-referrer-when-downgrade"/><meta name="author" content="Condé Nast"/><meta name="copyright" content="Copyright (c) Condé Nast 2023"/><meta name="description" content="Googles new AI-powered search engine can feel more like artificial interference than artificial intelligence."/><meta name="id" content="64c1b0c5e416fd283a85c633"/><meta name="keywords" content="plaintext,search,artificial intelligence,google,algorithms,machine learning,deep learning,bing,chatgpt"/><meta name="news_keywords" content="plaintext,search,artificial intelligence,google,algorithms,machine learning,deep learning,bing,chatgpt"/><meta name="robots" 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</script><script></script><script type="application/ld+json">{"@context":"http://schema.org","@type":"NewsArticle","articleBody":"Googles clunkily named Search Generative Experience, SGE for short, infuses its search box with ChatGPT-like conversational functionality. You can sign up at Googles Search Labs. The company says it wants users to converse with its search chatbot, which launched to testers in May, to dive deeper into topics and ask more challenging and intuitive questions than they would type into a boring old query box. And AI-generated answers are meant to organize information more clearly than a traditional search results page—for example, by pulling together information from multiple websites. Most of the worlds web searches run through Google, and its been developing AI technologies longer than most companies, so its fair to expect a top-notch experience.\nSo goes the theory. It turns out that in practice the new feature is so far more nuisance than aide. Its slow, ineffective, verbose, and cluttered—more artificial interference than intelligence.\nOnce you gain access to Googles test, the search box looks unchanged. But in response to a query like “How many stamps to mail 8 ounce letter,” a new section takes up a good chunk of the screen, pushing down the conventional list of links. Within that area, Googles large language models generate a couple of paragraphs similar to what you might find from ChatGPT or Microsofts Bing Chat. Buttons at the bottom lead to a chatbot interface where you can ask follow-up questions.\nThe first thing I noticed about Google's vision for the future of search was its sluggishness. In tests where I controlled a stopwatch app with one hand and submitted a query with the other, it sometimes took nearly six seconds for Googles text-generator to spit out its answer. The norm was more than three seconds, compared to no more than one second for Googles conventional results to appear. Things could have been worse: I did my tests after Google rolled out an update which it claims doubled the search bots speed last month. Yet I still often find myself deep into reading the regular results by the time the generative AI finishes up, meaning I end up ignoring its tardily submitted dissertations. Cathy Edwards, a Google Search vice president, tells me speed optimizations of the AI software underpinning the tool are ongoing.\nOne could excuse the slowness of this new form of search if the results were worthwhile. But accuracy is spotty. Googles five-sentence generative AI response to my stamps question included apparent errors of both multiplication and subtraction, stamp prices outdated by two years, and suggested follow-up questions that ignored crucial variables for shipping costs, such as shape, size, and destination. The disclaimer Google displays at the top of each AI-generated answer rang resoundingly true: “Generative AI is experimental. Info quality may vary.”\nIn the same response, Googles new search feature suggested that I would need either $2.47 or $4 worth of stamps. Navigating to the US Postal Services online calculator provided the official answer: I needed $3.03, or five stamps at 66 cents each with a 27-cent overpayment. Googles Edwards says my humble query pushed the technologys current boundaries. “It's definitely on the frontier,” she says.\nUnfortunately, dumbing down didnt end well either. When asked for just the price of a stamp, Google responded with an outdated figure. Only specifying that I wanted the price as of this month got the system to correctly reflect this months 3-cent cost hike. To be fair, ChatGPT would flunk this query too because its training data cuts off in 2021—but it is not positioned as a replacement for a search engine.\nGoogle's new search experience feels unreliable enough that Im better off just clicking through standard results to conduct my own research. A query about Star Wars video games developed by gamemaker Electronic Arts generated an accurate list except for the inclusion of one title from EA rival Ubisoft. Ironically, the generative-AI description of the game in the result mentioned it was made by Ubisoft, demonstrating how large language models can contradict themselves.\nWhen asked about players whom the San Diego Padres—which surely will beat Stevens Phillies to a wild card spot—may try to acquire through a swap with another baseball team, Googles AI response started with two players currently at the Padres, confusing trade chips as trade targets.\nGoogle has put in some protective measures. The new search experience does not display for some health or financial queries, for which Google has placed a higher bar for accuracy. And the experience almost always prominently features links to related resources on the web to help users corroborate the AI outputs. Results on queries like “Write a poem” have the disclaimer “You may see inaccurate creative content.” And the AI system generally wont try to sound too cute or adopt a persona. “We don't think people actually want to talk to Google,” Edwards says, drawing a contrast with Bing Chat, which is known to go into first-person speech or sprinkle emojis.\nAt times, Googles new vision for search can feel more like a step back than a leap into the future. The generated answers can duplicate other features on the results page, such as featured snippets that draw a clear and digestible answer from a website or knowledge boxes that provide a paragraph-length overview of a topic from Wikipedia. When it belatedly chimes in on results like those, the generative AI version tends to be the most wordy and trickiest to make sense of.\nEdwards mentioned at least eight times in our 30-minute discussion about my experiences with the new feature that it is still early in its development with plenty of kinks to iron out. “I don't think you're gonna hear me say that we have nailed this,” she says. “We're at the beginning of a 10-year-long arc of transformation.” She also says the feedback to date has been “super positive,” but perhaps most importantly, she says that what Google eventually launches to all users “might look quite different to where we are today.”\nAn experience that is speedier, less crammed with content, and able to help ship WIRED issues to readers without risking them getting returned for underpaid postage would be nice.\nTime Travel\nGoogles quest to pithily respond to users questions with direct answers began years ago. Back in 2016, then-WIRED writer Cade Metz wrote about how Google assembled about 100 linguistics PhDs fluent in about two dozen languages to condense writing and annotate sentences to help train AI systems to understand how human language works. Google expected the team and the technology to grow for years to come.\nThese \"sentence compression algorithms\" just went live on the desktop incarnation of the search engine. They handle a task that's pretty simple for humans but has traditionally been quite difficult for machines. They show how deep learning is advancing the art of natural language understanding, the ability to understand and respond to natural human speech. \"You need to use neural networks—or at least that is the only way we have found to do it,\" Google research product manager David Orr says of the company's sentence compression work.\nGoogle trains these neural networks using data handcrafted by a massive team of PhD linguists it calls Pygmalion. In effect, Google's machines learn how to extract relevant answers from long strings of text by watching humans do it—over and over again. These painstaking efforts show both the power and the limitations of deep learning. To train artificially intelligent systems like this, you need lots and lots of data that's been sifted by human intelligence. That kind of data doesn't come easy—or cheap. And the need for it isn't going away anytime soon.\nBut just a year later, Google researchers devised a new approach to training AI that made much of that prep unnecessary and led to the large language models that underlie services such as ChatGPT and the new Google Search. Looking back, I wouldnt mind the crisp Google Search answer snippets of years past.\nAsk Me One Thing\nJennifer Phoenix, via Facebook, asks why AI image generators continue to get hands and fingers wrong. “I read its because of complexity,” she says, “but Id think the remedy is more training on those features.”\nIm with you, Jennifer. After reading your question, I tried generating images of “hand with a ring tattoo of setting sun” in a demo version of the AI tool Stable Diffusion. The batch of four results I got back featured disjointed, wobbly fingers and hands with missing digits, unnaturally slender wrists, or giant knuckles. In contrast, the query “face with cheek tattoo of setting sun” did result in some wild images, but at least the faces looked realistic.\nPranav Dixit did a deep dive for BuzzFeed News (RIP) earlier this year into the history of hands in art, and wrote that the fact that peoples hands are often busy—holding cups, for instance—can explain why AI systems struggle to recreate them realistically. The New Yorkers Kyle Chayka also looked at the issue, pointing out that making more precise commands to AI image generators about what hands should be doing can help.\nAs you say, Jennifer, throwing better or more diverse data at AI systems should often result in more accurate outcomes. Some users spotted modest improvements in output of hands in “v5” of Midjourneys AI generator earlier this year. But Midjourney CEO David Holz tells me by email that the company “didn't do anything specific for hands. Our stuff just works better in v5.”\nOn the other hand, Stable Diffusions developer Stability AI did work specifically on the hands problem while developing its newest version, which was released this week. Joe Penna, Stabilitys head of applied machine learning, says poorly-generated hands was the top complaint from users. When I tried the new model with my hand-tattoo query, two images turned out well while the other two lacked some knuckles.\nThe new model has about eight times the capacity of its predecessor to learn visual patterns to reproduce, which essentially means it can remember more about how hands should look, Penna says. The company also gave it additional training on images of people and artwork, to reflect what users are most interested in. Now, says Penna, “it's remembering things like hands a lot more.”\nInserting millions of additional images of hands to the training data actually worsened generated images of hands, making them oversize, Penna says, but he says the company is testing different tactics to drive further improvement.\nBefore speaking to Penna, I hypothesized AI developers may want to avoid achieving perfection because imperfect hands are a common way to spot deepfakes. Penna says that wasnt the case, but that Stability took other steps to make sure its obvious when images have been generated with its technology. \"We're not going to go back to building worse hands, so let's start being very careful with the images that we see on the internet,” he says.\nWith bone structure fails starting to get settled, maybe next the companies can take on the fact that all 12 images I generated from my test prompts depicted fair-skin hands? Ill leave explaining that to Steven in a future Plaintext.\nYou can submit questions to mail@wired.com. Write ASK LEVY in the subject line.\nEnd Times Chronicle\nThought it couldnt get more awful than Mountain Dew Flamin Hot soda? Try mustard-flavored Skittles candies, a gimmick for National Mustard Day in the US next week.\nLast but Not Least\nFuturama is back! But the first episode only made me laugh once (when a robot comedian called a room full of friends too PC). The shows all about critiquing our modern tech-centric world. Unfortunately, it seems to be picking on easy targets.\nThe EU is preparing a massive database of all content moderation decisions by social media companies and the reasoning behind them.\nThe hottest new data feed in tech? Combat data from Ukraine to train military AI software.\nVigilante justice: A person with impaired vision who was scammed out of a laptop teamed up with a friend to take on the fraudster. The evidence is now with the police.","isBasedOn":"https://www.wired.com/story/plaintext-hands-on-with-google-searchs-answer-to-chatgpt","articleSection":"business","author":[{"@type":"Person","name":"Paresh Dave","sameAs":"https://www.wired.com/author/paresh-dave"}],"dateModified":"2023-07-28T09:00:00.000-04:00","datePublished":"2023-07-28T09:00:00.000-04:00","headline":"Hands On With Google Searchs Answer to ChatGPT","image":["https://media.wired.com/photos/64c30dd30a3dc6f3e7e8b62f/16:9/w_2400,h_1350,c_limit/Hands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg","https://media.wired.com/photos/64c30dd30a3dc6f3e7e8b62f/4:3/w_2400,h_1800,c_limit/Hands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg","https://media.wired.com/photos/64c30dd30a3dc6f3e7e8b62f/1:1/w_1800,h_1800,c_limit/Hands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg"],"keywords":["business","tech culture","plaintext","search","artificial intelligence","google","algorithms","machine learning","deep learning","bing","chatgpt","_syndication_noshow","_no-amp","paywall subscriber only content","textaboveleftsmall","web"],"thumbnailUrl":"https://media.wired.com/photos/64c30dd30a3dc6f3e7e8b62f/1:1/w_1800,h_1800,c_limit/Hands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg","url":"https://www.wired.com/story/plaintext-hands-on-with-google-searchs-answer-to-chatgpt/","isPartOf":{"@type":"CreativeWork","name":"WIRED"},"isAccessibleForFree":true,"alternativeHeadline":"Googles new AI-powered search engine can feel more like artificial interference than artificial intelligence.","description":"Googles new AI-powered search engine can feel more like artificial interference than artificial intelligence.","mainEntityOfPage":{"@type":"WebPage","@id":"https://www.wired.com/story/plaintext-hands-on-with-google-searchs-answer-to-chatgpt/"},"publisher":{"@context":"https://schema.org","@type":"Organization","name":"WIRED","logo":{"@type":"ImageObject","url":"https://www.wired.com/verso/static/wired/assets/logo-seo.png","width":"500px","height":"100px"},"url":"https://www.wired.com"}}</script><script type="application/ld+json">{"@context":"https://schema.org/","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Business","item":"https://www.wired.com/business/"},{"@type":"ListItem","position":2,"name":"Plaintext","item":"https://www.wired.com/tag/plaintext/"},{"@type":"ListItem","position":3,"name":"Hands On With Google Searchs Answer to ChatGPT"}]}</script><meta id="google-signin-meta" name="google-signin-client_id" content="904266558061-dqllerrg1949kl0dfu2k64nhvhtqoee0.apps.googleusercontent.com"/><script id="google-api-script" src="https://apis.google.com/js/platform.js" async="" defer=""></script><script id="google-subscribe-script" src="https://news.google.com/swg/js/v1/swg.js" async="" defer=""></script><script id="martech-lib-pre-script">window.Martech = window.Martech || new Promise((resolve) => {
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ad-height-hold"></div><main id="main-content" tabindex="-1" class="BasePageMainContent-kFvAuh ewPCZH page__main-content"><article class="article main-content" lang="en-US"><div class="ArticlePageLedeBackground-EufvU ittFsh"><header class="ContentHeaderWrapper-clujbs hBAptx content-header article__content-header"><div data-testid="ContentHeaderContainer" class="ContentHeaderContainer-cGKRbE knDxNq"><div class="ContentHeaderHedAccreditationWrapper-GFiQf cDNVlV"><div data-testid="ContentHeaderTitleBlockWrapper" class="ContentHeaderTitleBlockWrapper-cjmSKp beyFWC"><div data-testid="ContentHeaderRubric" class="ContentHeaderRubricBlock-LmpbT btuQxh"><div data-testid="BylinesWrapper" class="BylinesWrapper-KIudk irTIfE bylines bylines--inlined-with-bg ContentHeaderBylines-cZqgyJ bHLeKI"><p class="BylineWrapper-jWHrLH hAfVoD byline bylines__byline" data-testid="BylineWrapper" itemProp="author" itemType="http://schema.org/Person"><span itemProp="name" class="BylineNamesWrapper-jbHncj fuDQVo"><span data-testid="BylineName" class="BylineName-kwmrLn cVPPwi byline__name"><a class="BaseWrap-sc-gjQpdd BaseText-ewhhUZ BaseLink-eNWuiM BylineLink-gEnFiw iUEiRd kZoQA-D ecbzIP BDKtv byline__name-link button" href="/author/paresh-dave">Paresh Dave</a></span></span></p></div><div data-testid="ContentHeaderRubricDateBlock" class="ContentHeaderRubricDateBlock-kAQcZP fTFWxD"><div class="RubricWrapper-dKmCNX gmxdsS rubric ContentHeaderRubricContainer-eTudtt edKnIL"><a class="RubricLink-gRWSOU fTtYjx rubric__link" href="/category/business"><span class="RubricName-fVtemz cLxcNi">Business</span></a></div><time data-testid="ContentHeaderPublishDate" dateTime="2023-07-28T09:00:00-04:00" class="BaseWrap-sc-gjQpdd BaseText-ewhhUZ ContentHeaderTitleBlockPublishDate-hYmSqb iUEiRd kwGwWM cXawal">Jul 28, 2023 9:00 AM</time></div></div><h1 data-testid="ContentHeaderHed" class="BaseWrap-sc-gjQpdd BaseText-ewhhUZ ContentHeaderHed-NCyCC iUEiRd ezNyYX kctZMs">Hands On With Google Searchs Answer to ChatGPT</h1></div><div class="ContentHeaderAccreditation-lfctVB etVsnJ content-header__accreditation" data-testid="ContentHeaderAccreditation"><div class="ContentHeaderDek-bIqFFZ dHmGIY">Googles new AI-powered search engine can feel more like artificial interference than artificial intelligence.</div></div></div><div class="ContentHeaderLeadAsset-hGbumP cAlrhp lead-asset ContentHeaderLeadAssetWrapper-hfXHEc besjtV lead-asset--width-small" data-testid="ContentHeaderLeadAsset"><figure class="ContentHeaderLeadAssetContent-kOfYSG dRGWbI"><div class="ContentHeaderLeadAssetContentMedia-bLEIpi jjhWdS lead-asset__content__photo"><span class="SpanWrapper-umhxW jvZaPI responsive-asset ContentHeaderResponsiveAsset-bREgIb cZenhb"><div data-test="aspect-ratio-container" class="AspectRatioContainer-bJHpJz iqnkin"><div class="aspect-ratio--overlay-container"><picture class="ResponsiveImagePicture-cWuUZO dUOtEa ContentHeaderResponsiveAsset-bREgIb cZenhb responsive-image"><source media="(max-width: 767px)" srcSet="https://media.wired.com/photos/64c30dd30a3dc6f3e7e8b62f/master/w_120,c_limit/Hands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg 120w, https://media.wired.com/photos/64c30dd30a3dc6f3e7e8b62f/master/w_240,c_limit/Hands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg 240w, https://media.wired.com/photos/64c30dd30a3dc6f3e7e8b62f/master/w_320,c_limit/Hands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg 320w, https://media.wired.com/photos/64c30dd30a3dc6f3e7e8b62f/master/w_640,c_limit/Hands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg 640w, https://media.wired.com/photos/64c30dd30a3dc6f3e7e8b62f/master/w_960,c_limit/Hands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg 960w" sizes="100vw"/><source media="(min-width: 768px)" srcSet="https://media.wired.com/photos/64c30dd30a3dc6f3e7e8b62f/master/w_120,c_limit/Hands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg 120w, https://media.wired.com/photos/64c30dd30a3dc6f3e7e8b62f/master/w_240,c_limit/Hands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg 240w, https://media.wired.com/photos/64c30dd30a3dc6f3e7e8b62f/master/w_320,c_limit/Hands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg 320w, https://media.wired.com/photos/64c30dd30a3dc6f3e7e8b62f/master/w_640,c_limit/Hands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg 640w, https://media.wired.com/photos/64c30dd30a3dc6f3e7e8b62f/master/w_960,c_limit/Hands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg 960w, https://media.wired.com/photos/64c30dd30a3dc6f3e7e8b62f/master/w_1280,c_limit/Hands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg 1280w, https://media.wired.com/photos/64c30dd30a3dc6f3e7e8b62f/master/w_1600,c_limit/Hands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg 1600w, https://media.wired.com/photos/64c30dd30a3dc6f3e7e8b62f/master/w_1920,c_limit/Hands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg 1920w, https://media.wired.com/photos/64c30dd30a3dc6f3e7e8b62f/master/w_2240,c_limit/Hands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg 2240w" sizes="100vw"/><img alt="Black and white photo of a robot head with wooden blocks spelling out hello" class="ResponsiveImageContainer-eybHBd fptoWY responsive-image__image" src="https://media.wired.com/photos/64c30dd30a3dc6f3e7e8b62f/master/w_2560%2Cc_limit/Hands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg"/></picture></div></div></span><div class="CaptionWrapper-jSZdqE kJoQGV caption ContentHeaderLeadAssetCaption-hPWmSN cZMGrQ"><span class="BaseWrap-sc-gjQpdd BaseText-ewhhUZ CaptionCredit-ejegDm iUEiRd iggRJP fNaHcW caption__credit">Photograph: charles taylor/Getty Images</span></div></div></figure><div data-testid="ContentHeaderLeadRailAnchor" 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gkccfO">Save</span></button></div><div data-attr-viewport-monitor="" class="ActionBarWrapper-dhxmQh gEnpit viewport-monitor-anchor"><button id="bookmark" aria-label="Save" class="ActionBarButton-dyFOZU cyZIvv bookmark mobile"><span class="ActionBarSecondaryButtonPrimaryIcon-isbvyN cAwccV bookmark-button-icon"><svg class="icon icon-bookmark" width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><title>Save this story</title><path class="icon-bookmark-stroke" d="M11.7661 16.3228L4.5 20.1695V3.5H19.5V20.1695L12.2339 16.3228L12 16.199L11.7661 16.3228Z" stroke-linecap="square"/></svg></span><span class="BaseWrap-sc-gjQpdd BaseText-ewhhUZ ActionBarButtonText-bYXYuh iUEiRd kYEynM gkccfO">Save</span></button></div></div></div><div class="ArticlePageChunksContent-etcMtP bwyLBj"><div data-testid="ArticlePageChunks" class="ArticlePageChunks-fLyCVG eOdfIs"><div class="GridWrapper-cAzTTK kHBDeH grid grid-margins grid-items-2 ArticlePageChunksGrid-hfxaau bjczjj grid-layout--adrail narrow wide-adrail"><div class="GridItem-buujkM stRKV grid--item grid-layout__content"><div class="BodyWrapper-kufPGa jcsZmt body body__container article__body" data-journey-hook="client-content" data-testid="BodyWrapper"><div class="body__inner-container"><p><span class="lead-in-text-callout">Last weekend, I</span> turned to Google Search for help figuring out how many stamps I needed to put on an 8-ounce piece of mail. (Naturally, I was sending a copy of <a href="https://archive.wired.com/t/storefront/storefront">the latest issue of WIRED</a>!). Its the exact sort of question that I hoped <a href="https://www.wired.com/story/google-io-just-added-generative-ai-to-search/">Google Searchs new generative AI feature</a>, which Ive been testing for the past month, would solve much faster than I could through my own browsing.</p><p class="paywall">Googles clunkily named Search Generative Experience, SGE for short, infuses its search box with ChatGPT-like conversational functionality. You can sign up at <a href="https://labs.google.com/search/">Googles Search Labs</a>. The company says it wants users to converse with its search chatbot, which launched to testers in May, to dive deeper into topics and ask more challenging and intuitive questions than they would type into a boring old query box. And AI-generated answers are meant to organize information more clearly than a traditional search results page—for example, by pulling together information from multiple websites. Most of the worlds web searches run through Google, and its been developing AI technologies longer than most companies, so its fair to expect a top-notch experience.</p><p class="paywall">So goes the theory. It turns out that in practice the new feature is so far more nuisance than aide. Its slow, ineffective, verbose, and cluttered—more artificial interference than intelligence.</p><aside aria-hidden="true" class="PullQuoteEmbedWrapper-sc-EoVjf kgVYDs"><div class="PullQuoteDecorativeBorder-sc-iUyOLj jyfYFL"></div><div class="PullQuoteEmbedContent-sc-kTcfhx knYsPB"><p class="paywall">The first thing I noticed about Googles vision for the future of search was its sluggishness.</p></div></aside><div class="GenericCalloutWrapper-tojWn ftdwXT callout--has-top-border" data-testid="GenericCallout"><aside class="Sidebar-pgAgH kJWjjR" data-testid="SidebarEmbed"><div role="heading" aria-level="5" class="paywall heading-h5">This is an edition of Steven Levy&#x27;s <a href="https://www.wired.com/newsletter/Plaintext"><em><strong>Plaintext</strong></em></a> newsletter. This week WIRED&#x27;s <a href="https://www.wired.com/author/paresh-dave/">Paresh Dave</a> is filling in.</div><p class="paywall"><a href="https://www.wired.com/newsletter/Plaintext"><figure class="AssetEmbedWrapper-eVDQiB byBkf asset-embed"><div class="AssetEmbedAssetContainer-eJxoAx dBHGoQ asset-embed__asset-container"><span class="SpanWrapper-umhxW kGxnNB responsive-asset AssetEmbedResponsiveAsset-cXBNxi eCxVQK asset-embed__responsive-asset"><picture class="ResponsiveImagePicture-cWuUZO dUOtEa AssetEmbedResponsiveAsset-cXBNxi eCxVQK asset-embed__responsive-asset responsive-image"><noscript><img alt="Image may contain Advertisement Poster Brochure Paper Flyer and Text" class="ResponsiveImageContainer-eybHBd fptoWY responsive-image__image" src="https://media.wired.com/photos/5e39d9da3130b10008e82c43/master/w_1600%2Cc_limit/steven_levy_plaintext.jpg" srcSet="https://media.wired.com/photos/5e39d9da3130b10008e82c43/master/w_120,c_limit/steven_levy_plaintext.jpg 120w, https://media.wired.com/photos/5e39d9da3130b10008e82c43/master/w_240,c_limit/steven_levy_plaintext.jpg 240w, https://media.wired.com/photos/5e39d9da3130b10008e82c43/master/w_320,c_limit/steven_levy_plaintext.jpg 320w, https://media.wired.com/photos/5e39d9da3130b10008e82c43/master/w_640,c_limit/steven_levy_plaintext.jpg 640w, https://media.wired.com/photos/5e39d9da3130b10008e82c43/master/w_960,c_limit/steven_levy_plaintext.jpg 960w, https://media.wired.com/photos/5e39d9da3130b10008e82c43/master/w_1280,c_limit/steven_levy_plaintext.jpg 1280w, https://media.wired.com/photos/5e39d9da3130b10008e82c43/master/w_1600,c_limit/steven_levy_plaintext.jpg 1600w" sizes="100vw"/></noscript></picture></span></div></figure></a></p><div role="heading" aria-level="5" class="paywall heading-h5"><a href="https://www.wired.com/newsletter/Plaintext">SIGN UP for Plaintext</a> and tap Steven&#x27;s unique insights and unmatched contacts for the long view on tech.</div></aside></div><p class="paywall">Once you gain access to Googles test, the search box looks unchanged. But in response to a query like “How many stamps to mail 8 ounce letter,” a new section takes up a good chunk of the screen, pushing down the conventional list of links. Within that area, Googles large language models generate a couple of paragraphs similar to what you might find from ChatGPT or <a href="https://www.wired.com/story/my-strange-day-with-bings-new-ai-chatbot/">Microsofts Bing Chat</a>. Buttons at the bottom lead to a chatbot interface where you can ask follow-up questions.</p><div class="Container-bkChBi byNLHx"></div><p class="paywall">The first thing I noticed about Google&#x27;s vision for the future of search was its sluggishness. In tests where I controlled a stopwatch app with one hand and submitted a query with the other, it sometimes took nearly six seconds for Googles text-generator to spit out its answer. The norm was more than three seconds, compared to no more than one second for Googles conventional results to appear. Things could have been worse: I did my tests after Google rolled out an update which it claims doubled the search bots speed last month. Yet I still often find myself deep into reading the regular results by the time the generative AI finishes up, meaning I end up ignoring its tardily submitted dissertations. Cathy Edwards, a Google Search vice president, tells me speed optimizations of the AI software underpinning the tool are ongoing.</p><div data-attr-viewport-monitor="inline-recirc" class="inline-recirc-wrapper inline-recirc-observer-target-1 viewport-monitor-anchor"></div><p class="paywall">One could excuse the slowness of this new form of search if the results were worthwhile. But accuracy is spotty. Googles five-sentence generative AI response to my stamps question included apparent errors of both multiplication and subtraction, stamp prices outdated by two years, and suggested follow-up questions that ignored crucial variables for shipping costs, such as shape, size, and destination. The disclaimer Google displays at the top of each AI-generated answer rang resoundingly true: “Generative AI is experimental. Info quality may vary.”</p><div><div class="ConsumerMarketingUnitThemedWrapper-iUTMTf jssHut consumer-marketing-unit consumer-marketing-unit--article-mid-content" role="presentation" aria-hidden="true"><div class="consumer-marketing-unit__slot consumer-marketing-unit__slot--article-mid-content consumer-marketing-unit__slot--in-content"></div><div class="journey-unit"></div></div></div><p class="paywall">In the same response, Googles new search feature suggested that I would need either $2.47 or $4 worth of stamps. Navigating to the US Postal Services online calculator provided the official answer: I needed $3.03, or five stamps at 66 cents each with a 27-cent overpayment. Googles Edwards says my humble query pushed the technologys current boundaries. “It&#x27;s definitely on the frontier,” she says.</p><div class="AdWrapper-dQtivb fZrssQ ad ad--in-content"><div class="ad__slot ad__slot--in-content" data-node-id="l49oep"></div></div><p class="paywall">Unfortunately, dumbing down didnt end well either. When asked for just the price of a stamp, Google responded with an outdated figure. Only specifying that I wanted the price as of this month got the system to correctly reflect this months 3-cent cost hike. To be fair, ChatGPT would flunk this query too because its training data cuts off in 2021—but it is not positioned as a replacement for a search engine.</p></div></div></div><div class="GridItem-buujkM fVLMby grid--item grid-layout__aside"><div class="StickyBoxWrapper-jfYBuk kNleGZ sticky-box"><div class="StickyBoxPrimary-dzWDWL cdhYoN sticky-box__primary"><div class="Container-bkChBi byNLHx"></div><div class="AdWrapper-dQtivb fZrssQ ad ad--rail"><div class="ad__slot ad__slot--rail" data-node-id="ds37"></div></div><div class="ConsumerMarketingUnitThemedWrapper-iUTMTf jssHut consumer-marketing-unit consumer-marketing-unit--display-rail" role="presentation" aria-hidden="true"><div class="consumer-marketing-unit__slot consumer-marketing-unit__slot--display-rail"></div><div class="journey-unit"></div></div><div data-attr-viewport-monitor="" class="RecircMostPopularWrapper-bRuGTi jkTTgR recirc-most-popular-wrapper viewport-monitor-anchor"><div class="RecircMostPopularContiner-jiViNn ktrplG 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href="https://www.wired.com/gallery/best-electric-bikes/#intcid=_wired-right-rail_125bd511-a583-4b9c-9a9e-efec92e43b24_popular4-1-reranked-by-vidi" target="_self"><div data-testid="ClampWrapper" class="ClampWrapper-kZxfkB hTTNGO clamp SummaryItemHedBase-hiFYpQ cJGBzK summary-item__hed"><div class="ClampContent-hilPkr jVhSBH"><div class="SummaryItemHedTag-TWblf gxaOcP" data-testid="SummaryItemHed">The 14 Best Electric Bikes for Every Kind of Ride</div></div></div></a><div class="SummaryItemBylineWrapper-boCfbi cuRXdL summary-item__byline-date-icon"><div class="SummaryItemBaseByline-fFbXkY iQEKph summary-item__byline"><div class="summary-item__byline__content"><div data-testid="BylinesWrapper" class="BylinesWrapper-KIudk irTIfE bylines"><p class="BylineWrapper-jWHrLH cExbzu byline bylines__byline" data-testid="BylineWrapper" itemProp="author" itemType="http://schema.org/Person"><span itemProp="name" class="BylineNamesWrapper-jbHncj fuDQVo"><span data-testid="BylineName" class="BylineName-kwmrLn cYaBaU byline__name">Adrienne So</span></span></p></div></div></div></div></div></div></li><li><div class="AdWrapper-dQtivb fZrssQ RecircMostPopularSummaryItem-jQxxiw kOYCLW ad ad--aside"><div class="ad__slot ad__slot--aside" data-node-id="8zqmei"></div></div></li></ul><div class="RecircMostPopularFooter-enPjgs gvusTU"></div></div></div></div><div class="StickyBoxPlaceholder-grPmrg dxAvXx"></div></div></div></div><div class="RowWrapper-UmqTg HEhan full-bleed-ad row-mid-content-ad"><div class="StickyMidContentAdWrapper-fSBzwl drzyIa ad-stickymidcontent"><div class="AdWrapper-dQtivb fZrssQ ad ad--mid-content should-hold-space"><div class="ad__slot ad__slot--mid-content" data-node-id="sm3r2y"></div></div></div></div><div class="GridWrapper-cAzTTK kHBDeH grid grid-margins grid-items-2 ArticlePageChunksGrid-hfxaau bjczjj grid-layout--adrail narrow wide-adrail"><div class="GridItem-buujkM stRKV grid--item grid-layout__content"><div class="BodyWrapper-kufPGa jcsZmt body body__container article__body" data-journey-hook="client-content" data-testid="BodyWrapper"><div class="body__inner-container"><p class="paywall">Google&#x27;s new search experience feels unreliable enough that Im better off just clicking through standard results to conduct my own research. A query about Star Wars video games developed by gamemaker Electronic Arts generated an accurate list except for the inclusion of one title from EA rival Ubisoft. Ironically, the generative-AI description of the game in the result mentioned it was made by Ubisoft, demonstrating how large language models can contradict themselves.</p><p class="paywall">When asked about players whom the San Diego Padres—which surely will beat Stevens Phillies to a wild card spot—may try to acquire through a swap with another baseball team, Googles AI response started with two players currently at the Padres, confusing trade chips as trade targets.</p><p class="paywall">Google has put in some protective measures. The new search experience does not display for some health or financial queries, for which Google has placed a higher bar for accuracy. And the experience almost always prominently features links to related resources on the web to help users corroborate the AI outputs. Results on queries like “Write a poem” have the disclaimer “You may see inaccurate creative content.” And the AI system generally wont try to sound too cute or adopt a persona. “We don&#x27;t think people actually want to talk to Google,” Edwards says, drawing a contrast with <a href="https://www.wired.com/story/how-microsofts-bing-chatbot-came-to-be-and-where-its-going-next/">Bing Chat</a>, which is known to go into first-person speech or sprinkle emojis.</p><p class="paywall">At times, Googles new vision for search can feel more like a step back than a leap into the future. The generated answers can duplicate other features on the results page, such as featured snippets that draw a clear and digestible answer from a website or knowledge boxes that provide a paragraph-length overview of a topic from Wikipedia. When it belatedly chimes in on results like those, the generative AI version tends to be the most wordy and trickiest to make sense of.</p><p class="paywall">Edwards mentioned at least eight times in our 30-minute discussion about my experiences with the new feature that it is still early in its development with plenty of kinks to iron out. “I don&#x27;t think you&#x27;re gonna hear me say that we have nailed this,” she says. “We&#x27;re at the beginning of a 10-year-long arc of transformation.” She also says the feedback to date has been “super positive,” but perhaps most importantly, she says that what Google eventually launches to all users “might look quite different to where we are today.”</p><div data-attr-viewport-monitor="inline-recirc" class="inline-recirc-wrapper inline-recirc-observer-target-2 viewport-monitor-anchor"></div><p class="paywall">An experience that is speedier, less crammed with content, and able to help ship WIRED issues to readers without risking them getting returned for underpaid postage would be nice.</p><figure class="AssetEmbedWrapper-eVDQiB byBkf asset-embed"><div class="AssetEmbedAssetContainer-eJxoAx dBHGoQ asset-embed__asset-container"><span class="SpanWrapper-umhxW kGxnNB responsive-asset AssetEmbedResponsiveAsset-cXBNxi eCxVQK asset-embed__responsive-asset"><picture class="ResponsiveImagePicture-cWuUZO dUOtEa AssetEmbedResponsiveAsset-cXBNxi eCxVQK asset-embed__responsive-asset responsive-image"><noscript><img alt="Image may contain Label Text Symbol and Sign" class="ResponsiveImageContainer-eybHBd fptoWY responsive-image__image" src="https://media.wired.com/photos/5de5558cb4ac1c00080cd4fb/master/w_1600%2Cc_limit/Divider_Look%2520Back.jpg" srcSet="https://media.wired.com/photos/5de5558cb4ac1c00080cd4fb/master/w_120,c_limit/Divider_Look%20Back.jpg 120w, https://media.wired.com/photos/5de5558cb4ac1c00080cd4fb/master/w_240,c_limit/Divider_Look%20Back.jpg 240w, https://media.wired.com/photos/5de5558cb4ac1c00080cd4fb/master/w_320,c_limit/Divider_Look%20Back.jpg 320w, https://media.wired.com/photos/5de5558cb4ac1c00080cd4fb/master/w_640,c_limit/Divider_Look%20Back.jpg 640w, https://media.wired.com/photos/5de5558cb4ac1c00080cd4fb/master/w_960,c_limit/Divider_Look%20Back.jpg 960w, https://media.wired.com/photos/5de5558cb4ac1c00080cd4fb/master/w_1280,c_limit/Divider_Look%20Back.jpg 1280w, https://media.wired.com/photos/5de5558cb4ac1c00080cd4fb/master/w_1600,c_limit/Divider_Look%20Back.jpg 1600w" sizes="100vw"/></noscript></picture></span></div></figure><div role="heading" aria-level="3" class="paywall heading-h3">Time Travel</div><p class="paywall">Googles quest to pithily respond to users questions with direct answers began years ago. Back in 2016, then-WIRED writer Cade Metz wrote about <a href="https://www.wired.com/2016/11/googles-search-engine-can-now-answer-questions-human-help/">how Google assembled about 100 linguistics PhDs</a> fluent in about two dozen languages to condense writing and annotate sentences to help train AI systems to understand how human language works. Google expected the team and the technology to grow for years to come.</p><p class="paywall"><em>These &quot;sentence compression algorithms&quot; just went live on the desktop incarnation of the search engine. They handle a task that&#x27;s pretty simple for humans but has traditionally been quite difficult for machines. They show how deep learning is advancing the art of natural language understanding, the ability to understand and respond to natural human speech. &quot;You need to use neural networks—or at least that is the only way we have found to do it,&quot; Google research product manager David Orr says of the company&#x27;s sentence compression work.</em></p></div></div></div><div class="GridItem-buujkM fVLMby grid--item grid-layout__aside"><div class="StickyBoxWrapper-jfYBuk jxBcTH sticky-box"><div class="StickyBoxPrimary-dzWDWL cdhYoN sticky-box__primary"><div class="AdWrapper-dQtivb fZrssQ ad ad--rail"><div class="ad__slot ad__slot--rail" data-node-id="ev55fd"></div></div><div class="ConsumerMarketingUnitThemedWrapper-iUTMTf jssHut consumer-marketing-unit consumer-marketing-unit--display-rail" role="presentation" aria-hidden="true"><div class="consumer-marketing-unit__slot consumer-marketing-unit__slot--display-rail"></div><div class="journey-unit"></div></div><div 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summary-item--layout-proportions-33-66 summary-item--side-by-side-align-center summary-item--side-by-side-image-right-mobile-false summary-item--standard RecircMostPopularSummaryItem-jQxxiw QfcSA" role="button" tabindex="0"><div class="SummaryItemAssetContainer-gwhFFH inVOyg summary-item__asset-container"><a class="SummaryItemImageLink-dshqxb cPpCwE summary-item__image-link summary-item-tracking__image-link" href="https://www.wired.com/story/berberine-social-media-trend/#intcid=_wired-right-rail_125bd511-a583-4b9c-9a9e-efec92e43b24_popular4-1-reranked-by-vidi" aria-hidden="true" tabindex="-1" data-component-type="recirc-river" data-recirc-id="item-image-3" data-recirc-pattern="summary-item" target="_self"><span class="SpanWrapper-umhxW kGxnNB responsive-asset SummaryItemResponsiveAsset-hjGIGg egpoQR summary-item__image"><div data-test="aspect-ratio-container" class="AspectRatioContainer-bJHpJz jTnDXj"><div class="aspect-ratio--overlay-container"><picture 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target="_self"><div data-testid="ClampWrapper" class="ClampWrapper-kZxfkB hTTNGO clamp SummaryItemHedBase-hiFYpQ cJGBzK summary-item__hed"><div class="ClampContent-hilPkr jVhSBH"><div class="SummaryItemHedTag-TWblf gxaOcP" data-testid="SummaryItemHed">TikToks Berberine Fad Is About More Than Natures Ozempic</div></div></div></a><div class="SummaryItemBylineWrapper-boCfbi cuRXdL summary-item__byline-date-icon"><div class="SummaryItemBaseByline-fFbXkY iQEKph summary-item__byline"><div class="summary-item__byline__content"><div data-testid="BylinesWrapper" class="BylinesWrapper-KIudk irTIfE bylines"><p class="BylineWrapper-jWHrLH cExbzu byline bylines__byline" data-testid="BylineWrapper" itemProp="author" itemType="http://schema.org/Person"><span itemProp="name" class="BylineNamesWrapper-jbHncj fuDQVo"><span data-testid="BylineName" class="BylineName-kwmrLn cYaBaU byline__name">Kate Knibbs</span></span></p></div></div></div></div></div></div></li><li><div class="SummaryItemWrapper-iwvBff 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egpoQR summary-item__image"><div data-test="aspect-ratio-container" class="AspectRatioContainer-bJHpJz jTnDXj"><div class="aspect-ratio--overlay-container"><picture class="ResponsiveImagePicture-cWuUZO dUOtEa SummaryItemResponsiveAsset-hjGIGg egpoQR summary-item__image responsive-image"><noscript><source media="(max-width: 767px)" srcSet="https://media.wired.com/photos/64c1a027a6c1fece8f4bb578/16:9/w_120,h_450,c_limit/undefined 120w, https://media.wired.com/photos/64c1a027a6c1fece8f4bb578/16:9/w_240,h_450,c_limit/undefined 240w, https://media.wired.com/photos/64c1a027a6c1fece8f4bb578/16:9/w_320,h_450,c_limit/undefined 320w, https://media.wired.com/photos/64c1a027a6c1fece8f4bb578/16:9/w_640,h_450,c_limit/undefined 640w" sizes="100vw"/><source media="(min-width: 768px)" srcSet="https://media.wired.com/photos/64c1a027a6c1fece8f4bb578/16:9/w_120,h_450,c_limit/undefined 120w, https://media.wired.com/photos/64c1a027a6c1fece8f4bb578/16:9/w_240,h_450,c_limit/undefined 240w, 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href="https://www.wired.com/gallery/best-electric-bikes/#intcid=_wired-right-rail_125bd511-a583-4b9c-9a9e-efec92e43b24_popular4-1-reranked-by-vidi" target="_self"><div data-testid="ClampWrapper" class="ClampWrapper-kZxfkB hTTNGO clamp SummaryItemHedBase-hiFYpQ cJGBzK summary-item__hed"><div class="ClampContent-hilPkr jVhSBH"><div class="SummaryItemHedTag-TWblf gxaOcP" data-testid="SummaryItemHed">The 14 Best Electric Bikes for Every Kind of Ride</div></div></div></a><div class="SummaryItemBylineWrapper-boCfbi cuRXdL summary-item__byline-date-icon"><div class="SummaryItemBaseByline-fFbXkY iQEKph summary-item__byline"><div class="summary-item__byline__content"><div data-testid="BylinesWrapper" class="BylinesWrapper-KIudk irTIfE bylines"><p class="BylineWrapper-jWHrLH cExbzu byline bylines__byline" data-testid="BylineWrapper" itemProp="author" itemType="http://schema.org/Person"><span itemProp="name" class="BylineNamesWrapper-jbHncj fuDQVo"><span data-testid="BylineName" class="BylineName-kwmrLn cYaBaU byline__name">Adrienne So</span></span></p></div></div></div></div></div></div></li><li><div class="AdWrapper-dQtivb fZrssQ RecircMostPopularSummaryItem-jQxxiw kOYCLW ad ad--aside"><div class="ad__slot ad__slot--aside" data-node-id="rzi32"></div></div></li></ul><div class="RecircMostPopularFooter-enPjgs gvusTU"></div></div></div></div><div class="StickyBoxPlaceholder-grPmrg dxAvXx"></div></div></div></div><div class="RowWrapper-UmqTg HEhan full-bleed-ad row-mid-content-ad"><div class="StickyMidContentAdWrapper-fSBzwl drzyIa ad-stickymidcontent"><div class="AdWrapper-dQtivb fZrssQ ad ad--mid-content should-hold-space"><div class="ad__slot ad__slot--mid-content" data-node-id="xcsc0h"></div></div></div></div><div class="GridWrapper-cAzTTK kHBDeH grid grid-margins grid-items-2 ArticlePageChunksGrid-hfxaau bjczjj grid-layout--adrail narrow wide-adrail"><div class="GridItem-buujkM stRKV grid--item grid-layout__content"><div class="BodyWrapper-kufPGa jcsZmt body body__container article__body" data-journey-hook="client-content" data-testid="BodyWrapper"><div class="body__inner-container"><p class="paywall"><em>Google trains these neural networks using data handcrafted by a massive team of PhD linguists it calls Pygmalion. In effect, Google&#x27;s machines learn how to extract relevant answers from long strings of text by watching humans do it—over and over again. These painstaking efforts show both the power and the limitations of deep learning. To train artificially intelligent systems like this, you need lots and lots of data that&#x27;s been sifted by human intelligence. That kind of data doesn&#x27;t come easy—or cheap. And the need for it isn&#x27;t going away anytime soon.</em></p><p class="paywall">But just a year later, <a href="https://ai.googleblog.com/2017/08/transformer-novel-neural-network.html">Google researchers devised a new approach</a> to training AI that made much of that prep unnecessary and led to <a href="https://www.wired.com/story/google-search-advancing-grade-reading/">the large language models</a> that underlie services such as ChatGPT and the new Google Search. Looking back, I wouldnt mind the crisp Google Search answer snippets of years past.</p><figure class="AssetEmbedWrapper-eVDQiB byBkf asset-embed"><div class="AssetEmbedAssetContainer-eJxoAx dBHGoQ asset-embed__asset-container"><span class="SpanWrapper-umhxW kGxnNB responsive-asset AssetEmbedResponsiveAsset-cXBNxi eCxVQK asset-embed__responsive-asset"><picture class="ResponsiveImagePicture-cWuUZO dUOtEa AssetEmbedResponsiveAsset-cXBNxi eCxVQK asset-embed__responsive-asset responsive-image"><noscript><img alt="Image may contain Symbol" class="ResponsiveImageContainer-eybHBd fptoWY responsive-image__image" src="https://media.wired.com/photos/5de5558c6432df0008d00461/master/w_1600%2Cc_limit/Divider_Questions.jpg" srcSet="https://media.wired.com/photos/5de5558c6432df0008d00461/master/w_120,c_limit/Divider_Questions.jpg 120w, https://media.wired.com/photos/5de5558c6432df0008d00461/master/w_240,c_limit/Divider_Questions.jpg 240w, https://media.wired.com/photos/5de5558c6432df0008d00461/master/w_320,c_limit/Divider_Questions.jpg 320w, https://media.wired.com/photos/5de5558c6432df0008d00461/master/w_640,c_limit/Divider_Questions.jpg 640w, https://media.wired.com/photos/5de5558c6432df0008d00461/master/w_960,c_limit/Divider_Questions.jpg 960w, https://media.wired.com/photos/5de5558c6432df0008d00461/master/w_1280,c_limit/Divider_Questions.jpg 1280w, https://media.wired.com/photos/5de5558c6432df0008d00461/master/w_1600,c_limit/Divider_Questions.jpg 1600w" sizes="100vw"/></noscript></picture></span></div></figure><div role="heading" aria-level="3" class="paywall heading-h3">Ask Me One Thing</div><p class="paywall">Jennifer Phoenix, via Facebook, asks why AI image generators continue to get hands and fingers wrong. “I read its because of complexity,” she says, “but Id think the remedy is more training on those features.”</p><p class="paywall">Im with you, Jennifer. After reading your question, I tried generating images of “hand with a ring tattoo of setting sun” in <a data-offer-url="https://stablediffusionweb.com/#demo" class="external-link" data-event-click="{&quot;element&quot;:&quot;ExternalLink&quot;,&quot;outgoingURL&quot;:&quot;https://stablediffusionweb.com/#demo&quot;}" href="https://stablediffusionweb.com/#demo" rel="nofollow noopener" target="_blank">a demo version</a> of the AI tool Stable Diffusion. The batch of four results I got back featured disjointed, wobbly fingers and hands with missing digits, unnaturally slender wrists, or giant knuckles. In contrast, the query “face with cheek tattoo of setting sun” did result in some wild images, but at least the faces looked realistic.</p><figure class="AssetEmbedWrapper-eVDQiB byBkf asset-embed"><div class="AssetEmbedAssetContainer-eJxoAx dBHGoQ asset-embed__asset-container"><span class="SpanWrapper-umhxW kGxnNB responsive-asset AssetEmbedResponsiveAsset-cXBNxi eCxVQK asset-embed__responsive-asset"><picture class="ResponsiveImagePicture-cWuUZO dUOtEa AssetEmbedResponsiveAsset-cXBNxi eCxVQK asset-embed__responsive-asset responsive-image"><noscript><img alt="AI generated image of a hand with a sun and landscape tattooed on the knuckles" class="ResponsiveImageContainer-eybHBd fptoWY responsive-image__image" src="https://media.wired.com/photos/64c30dcf82d37ced55dff7a1/master/w_1600%2Cc_limit/stable-diffusion-xl-hand-sample-Plaintext-Business.jpg" srcSet="https://media.wired.com/photos/64c30dcf82d37ced55dff7a1/master/w_120,c_limit/stable-diffusion-xl-hand-sample-Plaintext-Business.jpg 120w, https://media.wired.com/photos/64c30dcf82d37ced55dff7a1/master/w_240,c_limit/stable-diffusion-xl-hand-sample-Plaintext-Business.jpg 240w, https://media.wired.com/photos/64c30dcf82d37ced55dff7a1/master/w_320,c_limit/stable-diffusion-xl-hand-sample-Plaintext-Business.jpg 320w, https://media.wired.com/photos/64c30dcf82d37ced55dff7a1/master/w_640,c_limit/stable-diffusion-xl-hand-sample-Plaintext-Business.jpg 640w, https://media.wired.com/photos/64c30dcf82d37ced55dff7a1/master/w_960,c_limit/stable-diffusion-xl-hand-sample-Plaintext-Business.jpg 960w, https://media.wired.com/photos/64c30dcf82d37ced55dff7a1/master/w_1280,c_limit/stable-diffusion-xl-hand-sample-Plaintext-Business.jpg 1280w, https://media.wired.com/photos/64c30dcf82d37ced55dff7a1/master/w_1600,c_limit/stable-diffusion-xl-hand-sample-Plaintext-Business.jpg 1600w" sizes="100vw"/></noscript></picture></span></div><div class="CaptionWrapper-jSZdqE kJoQGV caption AssetEmbedCaption-fNQBPI dDrfgT asset-embed__caption"><span class="BaseWrap-sc-gjQpdd BaseText-ewhhUZ CaptionText-bHjzlu iUEiRd cDlTYw iXWezO caption__text"><p>AI generated image.</p>
</span><span class="BaseWrap-sc-gjQpdd BaseText-ewhhUZ CaptionCredit-ejegDm iUEiRd iggRJP fNaHcW caption__credit">Stable Diffusion via Paresh Dave</span></div></figure></div></div></div><div class="GridItem-buujkM fVLMby grid--item grid-layout__aside"><div class="StickyBoxWrapper-jfYBuk jxBcTH sticky-box"><div class="StickyBoxPrimary-dzWDWL cdhYoN sticky-box__primary"><div class="AdWrapper-dQtivb fZrssQ ad ad--rail"><div class="ad__slot ad__slot--rail" data-node-id="ib8mqm"></div></div><div class="ConsumerMarketingUnitThemedWrapper-iUTMTf jssHut consumer-marketing-unit consumer-marketing-unit--display-rail" role="presentation" aria-hidden="true"><div class="consumer-marketing-unit__slot consumer-marketing-unit__slot--display-rail"></div><div class="journey-unit"></div></div><div data-attr-viewport-monitor="" class="RecircMostPopularWrapper-bRuGTi jkTTgR recirc-most-popular-wrapper viewport-monitor-anchor"><div class="RecircMostPopularContiner-jiViNn ktrplG 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href="https://www.wired.com/story/for-the-love-of-god-stop-microwaving-plastic/#intcid=_wired-right-rail_125bd511-a583-4b9c-9a9e-efec92e43b24_popular4-1-reranked-by-vidi" aria-hidden="true" tabindex="-1" data-component-type="recirc-river" data-recirc-id="item-image-1" data-recirc-pattern="summary-item" target="_self"><span class="SpanWrapper-umhxW kGxnNB responsive-asset SummaryItemResponsiveAsset-hjGIGg egpoQR summary-item__image"><div data-test="aspect-ratio-container" class="AspectRatioContainer-bJHpJz jTnDXj"><div class="aspect-ratio--overlay-container"><picture class="ResponsiveImagePicture-cWuUZO dUOtEa SummaryItemResponsiveAsset-hjGIGg egpoQR summary-item__image responsive-image"><noscript><source media="(max-width: 767px)" srcSet="https://media.wired.com/photos/64c417ea211451f12eaefdcd/16:9/w_120,h_450,c_limit/undefined 120w, https://media.wired.com/photos/64c417ea211451f12eaefdcd/16:9/w_240,h_450,c_limit/undefined 240w, 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egpoQR summary-item__image"><div data-test="aspect-ratio-container" class="AspectRatioContainer-bJHpJz jTnDXj"><div class="aspect-ratio--overlay-container"><picture class="ResponsiveImagePicture-cWuUZO dUOtEa SummaryItemResponsiveAsset-hjGIGg egpoQR summary-item__image responsive-image"><noscript><source media="(max-width: 767px)" srcSet="https://media.wired.com/photos/64c1a027a6c1fece8f4bb578/16:9/w_120,h_450,c_limit/undefined 120w, https://media.wired.com/photos/64c1a027a6c1fece8f4bb578/16:9/w_240,h_450,c_limit/undefined 240w, https://media.wired.com/photos/64c1a027a6c1fece8f4bb578/16:9/w_320,h_450,c_limit/undefined 320w, https://media.wired.com/photos/64c1a027a6c1fece8f4bb578/16:9/w_640,h_450,c_limit/undefined 640w" sizes="100vw"/><source media="(min-width: 768px)" srcSet="https://media.wired.com/photos/64c1a027a6c1fece8f4bb578/16:9/w_120,h_450,c_limit/undefined 120w, https://media.wired.com/photos/64c1a027a6c1fece8f4bb578/16:9/w_240,h_450,c_limit/undefined 240w, 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href="https://www.wired.com/gallery/best-electric-bikes/#intcid=_wired-right-rail_125bd511-a583-4b9c-9a9e-efec92e43b24_popular4-1-reranked-by-vidi" target="_self"><div data-testid="ClampWrapper" class="ClampWrapper-kZxfkB hTTNGO clamp SummaryItemHedBase-hiFYpQ cJGBzK summary-item__hed"><div class="ClampContent-hilPkr jVhSBH"><div class="SummaryItemHedTag-TWblf gxaOcP" data-testid="SummaryItemHed">The 14 Best Electric Bikes for Every Kind of Ride</div></div></div></a><div class="SummaryItemBylineWrapper-boCfbi cuRXdL summary-item__byline-date-icon"><div class="SummaryItemBaseByline-fFbXkY iQEKph summary-item__byline"><div class="summary-item__byline__content"><div data-testid="BylinesWrapper" class="BylinesWrapper-KIudk irTIfE bylines"><p class="BylineWrapper-jWHrLH cExbzu byline bylines__byline" data-testid="BylineWrapper" itemProp="author" itemType="http://schema.org/Person"><span itemProp="name" class="BylineNamesWrapper-jbHncj fuDQVo"><span data-testid="BylineName" class="BylineName-kwmrLn cYaBaU byline__name">Adrienne So</span></span></p></div></div></div></div></div></div></li><li><div class="AdWrapper-dQtivb fZrssQ RecircMostPopularSummaryItem-jQxxiw kOYCLW ad ad--aside"><div class="ad__slot ad__slot--aside" data-node-id="tw33z"></div></div></li></ul><div class="RecircMostPopularFooter-enPjgs gvusTU"></div></div></div></div><div class="StickyBoxPlaceholder-grPmrg dxAvXx"></div></div></div></div><div class="RowWrapper-UmqTg HEhan full-bleed-ad row-mid-content-ad"><div class="StickyMidContentAdWrapper-fSBzwl drzyIa ad-stickymidcontent"><div class="AdWrapper-dQtivb fZrssQ ad ad--mid-content should-hold-space"><div class="ad__slot ad__slot--mid-content" data-node-id="zmif55"></div></div></div></div><div class="GridWrapper-cAzTTK kHBDeH grid grid-margins grid-items-2 ArticlePageChunksGrid-hfxaau bjczjj grid-layout--adrail narrow wide-adrail"><div class="GridItem-buujkM stRKV grid--item grid-layout__content"><div class="BodyWrapper-kufPGa jcsZmt body body__container article__body" data-journey-hook="client-content" data-testid="BodyWrapper"><div class="body__inner-container"><p class="paywall">Pranav Dixit did <a href="https://www.buzzfeednews.com/article/pranavdixit/ai-generated-art-hands-fingers-messed-up">a deep dive for BuzzFeed News</a> (RIP) earlier this year into the history of hands in art, and wrote that the fact that peoples hands are often busy—holding cups, for instance—can explain why AI systems struggle to recreate them realistically. <a href="https://www.newyorker.com/culture/rabbit-holes/the-uncanny-failures-of-ai-generated-hands"><em>The New Yorker</em></a>s Kyle Chayka also looked at the issue, pointing out that making more precise commands to AI image generators about what hands should be doing can help.</p><div data-attr-viewport-monitor="inline-recirc" class="inline-recirc-wrapper inline-recirc-observer-target-3 viewport-monitor-anchor"></div><p class="paywall">As you say, Jennifer, throwing better or more diverse data at AI systems should often result in more accurate outcomes. Some users spotted modest improvements in output of hands in “v5” of Midjourneys AI generator earlier this year. But Midjourney CEO David Holz tells me by email that the company “didn&#x27;t do anything specific for hands. Our stuff just works better in v5.”</p><p class="paywall">On the other hand, Stable Diffusions developer Stability AI did work specifically on the hands problem while developing its <a data-offer-url="https://stability.ai/blog/stable-diffusion-sdxl-1-announcement" class="external-link" data-event-click="{&quot;element&quot;:&quot;ExternalLink&quot;,&quot;outgoingURL&quot;:&quot;https://stability.ai/blog/stable-diffusion-sdxl-1-announcement&quot;}" href="https://stability.ai/blog/stable-diffusion-sdxl-1-announcement" rel="nofollow noopener" target="_blank">newest version</a>, which was released this week. Joe Penna, Stabilitys head of applied machine learning, says poorly-generated hands was the top complaint from users. When I <a data-offer-url="https://clipdrop.co/stable-diffusion?output=true" class="external-link" data-event-click="{&quot;element&quot;:&quot;ExternalLink&quot;,&quot;outgoingURL&quot;:&quot;https://clipdrop.co/stable-diffusion?output=true&quot;}" href="https://clipdrop.co/stable-diffusion?output=true" rel="nofollow noopener" target="_blank">tried the new model</a> with my hand-tattoo query, two images turned out well while the other two lacked some knuckles.</p><figure class="AssetEmbedWrapper-eVDQiB byBkf asset-embed"><div class="AssetEmbedAssetContainer-eJxoAx dBHGoQ asset-embed__asset-container"><span class="SpanWrapper-umhxW kGxnNB responsive-asset AssetEmbedResponsiveAsset-cXBNxi eCxVQK asset-embed__responsive-asset"><picture class="ResponsiveImagePicture-cWuUZO dUOtEa AssetEmbedResponsiveAsset-cXBNxi eCxVQK asset-embed__responsive-asset responsive-image"><noscript><img alt="AI generated image of a hand with a sun and landscape tattooed on the knuckles the hand is missing two knuckles" class="ResponsiveImageContainer-eybHBd fptoWY responsive-image__image" src="https://media.wired.com/photos/64c30dcfeb3f06fa8140d1d4/master/w_1600%2Cc_limit/stable-diffusion-xl-hand-sample-2-Plaintext-Business.jpg" srcSet="https://media.wired.com/photos/64c30dcfeb3f06fa8140d1d4/master/w_120,c_limit/stable-diffusion-xl-hand-sample-2-Plaintext-Business.jpg 120w, https://media.wired.com/photos/64c30dcfeb3f06fa8140d1d4/master/w_240,c_limit/stable-diffusion-xl-hand-sample-2-Plaintext-Business.jpg 240w, https://media.wired.com/photos/64c30dcfeb3f06fa8140d1d4/master/w_320,c_limit/stable-diffusion-xl-hand-sample-2-Plaintext-Business.jpg 320w, https://media.wired.com/photos/64c30dcfeb3f06fa8140d1d4/master/w_640,c_limit/stable-diffusion-xl-hand-sample-2-Plaintext-Business.jpg 640w, https://media.wired.com/photos/64c30dcfeb3f06fa8140d1d4/master/w_960,c_limit/stable-diffusion-xl-hand-sample-2-Plaintext-Business.jpg 960w, https://media.wired.com/photos/64c30dcfeb3f06fa8140d1d4/master/w_1280,c_limit/stable-diffusion-xl-hand-sample-2-Plaintext-Business.jpg 1280w, https://media.wired.com/photos/64c30dcfeb3f06fa8140d1d4/master/w_1600,c_limit/stable-diffusion-xl-hand-sample-2-Plaintext-Business.jpg 1600w" sizes="100vw"/></noscript></picture></span></div><div class="CaptionWrapper-jSZdqE kJoQGV caption AssetEmbedCaption-fNQBPI dDrfgT asset-embed__caption"><span class="BaseWrap-sc-gjQpdd BaseText-ewhhUZ CaptionText-bHjzlu iUEiRd cDlTYw iXWezO caption__text"><p>AI generated image.</p>
</span><span class="BaseWrap-sc-gjQpdd BaseText-ewhhUZ CaptionCredit-ejegDm iUEiRd iggRJP fNaHcW caption__credit">Stable Diffusion via Paresh Dave</span></div></figure><p class="paywall">The new model has about eight times the capacity of its predecessor to learn visual patterns to reproduce, which essentially means it can remember more about how hands should look, Penna says. The company also gave it additional training on images of people and artwork, to reflect what users are most interested in. Now, says Penna, “it&#x27;s remembering things like hands a lot more.”</p><p class="paywall">Inserting millions of additional images of hands to the training data actually worsened generated images of hands, making them oversize, Penna says, but he says the company is testing different tactics to drive further improvement.</p></div></div></div><div class="GridItem-buujkM fVLMby grid--item grid-layout__aside"><div class="StickyBoxWrapper-jfYBuk jxBcTH sticky-box"><div class="StickyBoxPrimary-dzWDWL cdhYoN sticky-box__primary"><div class="AdWrapper-dQtivb fZrssQ ad ad--rail"><div class="ad__slot ad__slot--rail" data-node-id="szy4"></div></div><div class="ConsumerMarketingUnitThemedWrapper-iUTMTf jssHut consumer-marketing-unit consumer-marketing-unit--display-rail" role="presentation" aria-hidden="true"><div class="consumer-marketing-unit__slot consumer-marketing-unit__slot--display-rail"></div><div class="journey-unit"></div></div><div data-attr-viewport-monitor="" 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body body__container article__body" data-journey-hook="client-content" data-testid="BodyWrapper"><div class="body__inner-container"><p class="paywall">Before speaking to Penna, I hypothesized AI developers may want to avoid achieving perfection because imperfect hands are a common way to spot deepfakes. Penna says that wasnt the case, but that Stability took other steps to make sure its obvious when images have been generated with its technology. &quot;We&#x27;re not going to go back to building worse hands, so let&#x27;s start being very careful with the images that we see on the internet,” he says.</p><p class="paywall">With bone structure fails starting to get settled, maybe next the companies can take on the fact that all 12 images I generated from my test prompts depicted fair-skin hands? Ill leave explaining that to Steven in a future Plaintext.</p><p class="paywall"><em>You can submit questions to</em> <a href="mailto:mail@wired.com?subject=ASK%20LEVY"><em>mail@wired.com</em></a><em>. Write <strong>ASK LEVY</strong> in the subject line.</em></p><figure class="AssetEmbedWrapper-eVDQiB byBkf asset-embed"><div class="AssetEmbedAssetContainer-eJxoAx dBHGoQ asset-embed__asset-container"><span class="SpanWrapper-umhxW kGxnNB responsive-asset AssetEmbedResponsiveAsset-cXBNxi eCxVQK asset-embed__responsive-asset"><picture class="ResponsiveImagePicture-cWuUZO dUOtEa AssetEmbedResponsiveAsset-cXBNxi eCxVQK asset-embed__responsive-asset responsive-image"><noscript><img alt="Hands On With Google Searchs Answer to ChatGPT" class="ResponsiveImageContainer-eybHBd fptoWY responsive-image__image" src="https://media.wired.com/photos/5de5558bc35f8f0009b85432/master/w_1600%2Cc_limit/Divider_Links.jpg" srcSet="https://media.wired.com/photos/5de5558bc35f8f0009b85432/master/w_120,c_limit/Divider_Links.jpg 120w, https://media.wired.com/photos/5de5558bc35f8f0009b85432/master/w_240,c_limit/Divider_Links.jpg 240w, https://media.wired.com/photos/5de5558bc35f8f0009b85432/master/w_320,c_limit/Divider_Links.jpg 320w, https://media.wired.com/photos/5de5558bc35f8f0009b85432/master/w_640,c_limit/Divider_Links.jpg 640w, https://media.wired.com/photos/5de5558bc35f8f0009b85432/master/w_960,c_limit/Divider_Links.jpg 960w, https://media.wired.com/photos/5de5558bc35f8f0009b85432/master/w_1280,c_limit/Divider_Links.jpg 1280w, https://media.wired.com/photos/5de5558bc35f8f0009b85432/master/w_1600,c_limit/Divider_Links.jpg 1600w" sizes="100vw"/></noscript></picture></span></div></figure><div role="heading" aria-level="3" class="paywall heading-h3">End Times Chronicle</div><p class="paywall">Thought it couldnt get more awful than Mountain Dew Flamin Hot soda? Try <a href="https://www.prnewswire.com/news-releases/frenchs-announces-limited-edition-mustard-skittles-301884525.html">mustard-flavored Skittles</a> candies, a gimmick for National Mustard Day in the US next week.</p><figure class="AssetEmbedWrapper-eVDQiB byBkf asset-embed"><div class="AssetEmbedAssetContainer-eJxoAx dBHGoQ asset-embed__asset-container"><span class="SpanWrapper-umhxW kGxnNB responsive-asset AssetEmbedResponsiveAsset-cXBNxi eCxVQK asset-embed__responsive-asset"><picture class="ResponsiveImagePicture-cWuUZO dUOtEa AssetEmbedResponsiveAsset-cXBNxi eCxVQK asset-embed__responsive-asset responsive-image"><noscript><img alt="Image may contain Label Text Symbol and Sign" class="ResponsiveImageContainer-eybHBd fptoWY responsive-image__image" src="https://media.wired.com/photos/5de5558cb4ac1c00080cd4fb/master/w_1600%2Cc_limit/Divider_Look%2520Back.jpg" srcSet="https://media.wired.com/photos/5de5558cb4ac1c00080cd4fb/master/w_120,c_limit/Divider_Look%20Back.jpg 120w, https://media.wired.com/photos/5de5558cb4ac1c00080cd4fb/master/w_240,c_limit/Divider_Look%20Back.jpg 240w, https://media.wired.com/photos/5de5558cb4ac1c00080cd4fb/master/w_320,c_limit/Divider_Look%20Back.jpg 320w, https://media.wired.com/photos/5de5558cb4ac1c00080cd4fb/master/w_640,c_limit/Divider_Look%20Back.jpg 640w, https://media.wired.com/photos/5de5558cb4ac1c00080cd4fb/master/w_960,c_limit/Divider_Look%20Back.jpg 960w, https://media.wired.com/photos/5de5558cb4ac1c00080cd4fb/master/w_1280,c_limit/Divider_Look%20Back.jpg 1280w, https://media.wired.com/photos/5de5558cb4ac1c00080cd4fb/master/w_1600,c_limit/Divider_Look%20Back.jpg 1600w" sizes="100vw"/></noscript></picture></span></div></figure><div role="heading" aria-level="3" class="paywall heading-h3">Last but Not Least</div><p class="paywall"><a href="https://www.wired.com/story/futurama-new-season-hulu-2023/"><em>Futurama</em> is back</a>! But the first episode only made me laugh once (when a robot comedian called a room full of friends too PC). The shows all about critiquing our modern tech-centric world. Unfortunately, it seems to be picking on easy targets.</p><div data-attr-viewport-monitor="inline-recirc" class="inline-recirc-wrapper inline-recirc-observer-target-4 viewport-monitor-anchor"></div><p class="paywall"><a href="https://www.wired.com/story/its-getting-harder-for-the-government-to-secretly-flag-your-social-posts/">The EU is preparing a massive database</a> of all content moderation decisions by social media companies and the reasoning behind them.</p></div></div></div><div class="GridItem-buujkM fVLMby grid--item grid-layout__aside"><div class="StickyBoxWrapper-jfYBuk jxBcTH sticky-box"><div class="StickyBoxPrimary-dzWDWL cdhYoN sticky-box__primary"><div class="AdWrapper-dQtivb fZrssQ ad ad--rail"><div class="ad__slot ad__slot--rail" data-node-id="rr179j"></div></div><div class="ConsumerMarketingUnitThemedWrapper-iUTMTf jssHut consumer-marketing-unit consumer-marketing-unit--display-rail" role="presentation" aria-hidden="true"><div class="consumer-marketing-unit__slot 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itemType="http://schema.org/Person"><span itemProp="name" class="BylineNamesWrapper-jbHncj fuDQVo"><span data-testid="BylineName" class="BylineName-kwmrLn cYaBaU byline__name">Adrienne So</span></span></p></div></div></div></div></div></div></li><li><div class="AdWrapper-dQtivb fZrssQ RecircMostPopularSummaryItem-jQxxiw kOYCLW ad ad--aside"><div class="ad__slot ad__slot--aside" data-node-id="aaeqh5"></div></div></li></ul><div class="RecircMostPopularFooter-enPjgs gvusTU"></div></div></div></div><div class="StickyBoxPlaceholder-grPmrg dxAvXx"></div></div></div></div><div class="RowWrapper-UmqTg HEhan full-bleed-ad row-mid-content-ad"><div class="StickyMidContentAdWrapper-fSBzwl drzyIa ad-stickymidcontent"><div class="AdWrapper-dQtivb fZrssQ ad ad--mid-content should-hold-space"><div class="ad__slot ad__slot--mid-content" data-node-id="rs1f2o"></div></div></div></div><div class="GridWrapper-cAzTTK kHBDeH grid grid-margins grid-items-2 ArticlePageChunksGrid-hfxaau bjczjj grid-layout--adrail narrow wide-adrail"><div class="GridItem-buujkM stRKV grid--item grid-layout__content"><div class="BodyWrapper-kufPGa jcsZmt body body__container article__body" data-journey-hook="client-content" data-testid="BodyWrapper"><div class="body__inner-container"><p class="paywall">The hottest new data feed in tech? <a href="https://www.wired.com/story/ukraine-government-battlefield-data/">Combat data from Ukraine</a> to train military AI software.</p><p class="paywall"><a href="https://www.wired.com/story/twitter-laptop-scam-hunters/">Vigilante justice</a>: A person with impaired vision who was scammed out of a laptop teamed up with a friend to take on the fraudster. 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jZTSSi"><div class="ContributorBioHeader-ledood XOIEx"></div><div class="ContributorBioBio-fBolsO kzXQIh"><a href="/author/paresh-dave">Paresh Dave</a> is a senior writer for WIRED, covering the inner workings of big tech companies. He writes about how apps and gadgets are built and about their impacts, while giving voice to the stories of the <a href="https://www.reuters.com/business/sustainable-business/exclusive-google-searches-new-measure-skin-tones-curb-bias-products-2021-06-18/">underappreciated</a> and <a href="https://www.reuters.com/technology/elon-musk-orders-removal-twitter-suicide-prevention-feature-sources-say-2022-12-23/">disadvantaged</a>. He was previously a reporter for Reuters and the <em>Los Angeles Times</em>,... <a href="/author/paresh-dave">Read more</a></div><div class="ContributorBioFooter-brqDlv ezUmSv"><div class="SocialIconsWrapper-hKMEXV ffgPVr social-icons social-icons--standard"><ul data-testid="socialIconslist" class="SocialIconsList-cHVTIA ivmblD social-icons__list"></ul></div></div></div></div></div></div></div></div><div class="RowWrapper-UmqTg HEhan"><div class="GridWrapper-cAzTTK kHBDeH grid grid-margins grid-items-2 grid-layout--adrail narrow wide-adrail"><div class="GridItem-buujkM stRKV grid--item grid-layout__content"><div data-testid="TagCloudWrapper" class="TagCloudWrapper-gGgndx ctyZyK ContentFooterTagCloud-krQmRG esZLGh"><span class="BaseWrap-sc-gjQpdd BaseText-ewhhUZ TagCloudSectionHeader-cOforY iUEiRd eCzwvr kQQRmu">Topics</span><a href="/tag/plaintext/" class="BaseWrap-sc-gjQpdd BaseText-ewhhUZ BaseLink-eNWuiM TagCloudLink-kvjZFu iUEiRd kZoQA-D vGViI hIhJOI"><span class="BaseWrap-sc-gjQpdd 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and a barbecue, but no one lives there.</div><div class="SummaryItemBylineWrapper-boCfbi cuRXdL summary-item__byline-date-icon"><div class="SummaryItemBaseByline-fFbXkY iQEKph summary-item__byline"><div class="summary-item__byline__content"><div data-testid="BylinesWrapper" class="BylinesWrapper-KIudk irTIfE bylines"><p class="BylineWrapper-jWHrLH cExbzu byline bylines__byline" data-testid="BylineWrapper" itemProp="author" itemType="http://schema.org/Person"><span itemProp="name" class="BylineNamesWrapper-jbHncj fuDQVo"><span data-testid="BylineName" class="BylineName-kwmrLn cYaBaU byline__name">Joel Khalili</span></span></p></div></div></div></div></div></div><div class="SummaryItemWrapper-iwvBff hymcSS summary-item summary-item--ARTICLE summary-item--no-icon summary-item--text-align-left summary-item--layout-placement-text-below summary-item--layout-position-image-left summary-item--layout-proportions-50-50 summary-item--side-by-side-align-center summary-item--side-by-side-image-right-mobile-false summary-item--standard SummaryCollectionGridSummaryItem-WColm dTFXCW" role="button" tabindex="0"><div class="SummaryItemAssetContainer-gwhFFH inVOyg summary-item__asset-container"><a class="SummaryItemImageLink-dshqxb cPpCwE summary-item__image-link summary-item-tracking__image-link" href="https://www.wired.com/story/london-wants-american-crypto-refugees/#intcid=_wired-bottom-recirc_96b5c6c8-bc01-4b38-9624-b1f229e2f7c0_cral2-2-reranked-by-vidi" aria-hidden="true" tabindex="-1" data-component-type="recirc-river" data-recirc-id="item-image-2" data-recirc-pattern="summary-item" target="_self"><span class="SpanWrapper-umhxW kGxnNB responsive-asset SummaryItemResponsiveAsset-hjGIGg bDvSkO summary-item__image"><div data-test="aspect-ratio-container" class="AspectRatioContainer-bJHpJz jTnDXj"><div class="aspect-ratio--overlay-container"><picture class="ResponsiveImagePicture-cWuUZO dUOtEa SummaryItemResponsiveAsset-hjGIGg bDvSkO summary-item__image responsive-image"><noscript><source media="(max-width: 767px)" srcSet="https://media.wired.com/photos/64a603bba6c1fece8f4bb410/16:9/w_120,h_450,c_limit/undefined 120w, https://media.wired.com/photos/64a603bba6c1fece8f4bb410/16:9/w_240,h_450,c_limit/undefined 240w, https://media.wired.com/photos/64a603bba6c1fece8f4bb410/16:9/w_320,h_450,c_limit/undefined 320w, https://media.wired.com/photos/64a603bba6c1fece8f4bb410/16:9/w_640,h_450,c_limit/undefined 640w" sizes="100vw"/><source media="(min-width: 768px)" srcSet="https://media.wired.com/photos/64a603bba6c1fece8f4bb410/16:9/w_120,h_450,c_limit/undefined 120w, https://media.wired.com/photos/64a603bba6c1fece8f4bb410/16:9/w_240,h_450,c_limit/undefined 240w, https://media.wired.com/photos/64a603bba6c1fece8f4bb410/16:9/w_320,h_450,c_limit/undefined 320w, https://media.wired.com/photos/64a603bba6c1fece8f4bb410/16:9/w_640,h_450,c_limit/undefined 640w" sizes="100vw"/><img alt="London Wants American Crypto Refugees" class="ResponsiveImageContainer-eybHBd fptoWY responsive-image__image" src="https://media.wired.com/photos/64a603bba6c1fece8f4bb410/16:9/w_800%2Ch_450%2Cc_limit/undefined"/></noscript></picture></div></div></span></a></div><div class="SummaryItemContent-eiDYMl jpXMZX summary-item__content summary-item__content--no-rubric"><a class="SummaryItemHedLink-civMjp ejgyuy summary-item-tracking__hed-link summary-item__hed-link" data-component-type="recirc-river" data-recirc-id="item-hed-2" data-recirc-pattern="summary-item" href="https://www.wired.com/story/london-wants-american-crypto-refugees/#intcid=_wired-bottom-recirc_96b5c6c8-bc01-4b38-9624-b1f229e2f7c0_cral2-2-reranked-by-vidi" target="_self"><div data-testid="ClampWrapper" class="ClampWrapper-kZxfkB hTTNGO clamp SummaryItemHedBase-hiFYpQ hEVeCr summary-item__hed"><div class="ClampContent-hilPkr jVhSBH"><div class="SummaryItemHedTag-TWblf gxaOcP" data-testid="SummaryItemHed">London Wants American Crypto Refugees</div></div></div></a><div class="BaseWrap-sc-gjQpdd BaseText-ewhhUZ SummaryItemDek-CRfsi iUEiRd dyJpMk htqcaA summary-item__dek summary-item__dek--extra-spacing">With US authorities cracking down, the UK government hopes to create a “Goldilocks zone” of regulation.</div><div class="SummaryItemBylineWrapper-boCfbi cuRXdL summary-item__byline-date-icon"><div class="SummaryItemBaseByline-fFbXkY iQEKph summary-item__byline"><div class="summary-item__byline__content"><div data-testid="BylinesWrapper" class="BylinesWrapper-KIudk irTIfE bylines"><p class="BylineWrapper-jWHrLH cExbzu byline bylines__byline" data-testid="BylineWrapper" itemProp="author" itemType="http://schema.org/Person"><span itemProp="name" class="BylineNamesWrapper-jbHncj fuDQVo"><span data-testid="BylineName" class="BylineName-kwmrLn cYaBaU byline__name">Joel Khalili</span></span></p></div></div></div></div></div></div><div class="SummaryItemWrapper-iwvBff hymcSS summary-item summary-item--ARTICLE summary-item--no-icon summary-item--text-align-left summary-item--layout-placement-text-below summary-item--layout-position-image-left summary-item--layout-proportions-50-50 summary-item--side-by-side-align-center summary-item--side-by-side-image-right-mobile-false summary-item--standard SummaryCollectionGridSummaryItem-WColm dTFXCW" role="button" tabindex="0"><div class="SummaryItemAssetContainer-gwhFFH inVOyg summary-item__asset-container"><a class="SummaryItemImageLink-dshqxb cPpCwE summary-item__image-link summary-item-tracking__image-link" href="https://www.wired.com/story/open-source-your-blender-to-fight-electronic-waste/#intcid=_wired-bottom-recirc_96b5c6c8-bc01-4b38-9624-b1f229e2f7c0_cral2-2-reranked-by-vidi" aria-hidden="true" tabindex="-1" data-component-type="recirc-river" data-recirc-id="item-image-3" data-recirc-pattern="summary-item" target="_self"><span class="SpanWrapper-umhxW kGxnNB responsive-asset SummaryItemResponsiveAsset-hjGIGg bDvSkO summary-item__image"><div data-test="aspect-ratio-container" class="AspectRatioContainer-bJHpJz jTnDXj"><div class="aspect-ratio--overlay-container"><picture class="ResponsiveImagePicture-cWuUZO dUOtEa SummaryItemResponsiveAsset-hjGIGg bDvSkO summary-item__image responsive-image"><noscript><source media="(max-width: 767px)" srcSet="https://media.wired.com/photos/64a3018bc30f50376ee87600/16:9/w_120,h_450,c_limit/undefined 120w, https://media.wired.com/photos/64a3018bc30f50376ee87600/16:9/w_240,h_450,c_limit/undefined 240w, https://media.wired.com/photos/64a3018bc30f50376ee87600/16:9/w_320,h_450,c_limit/undefined 320w, https://media.wired.com/photos/64a3018bc30f50376ee87600/16:9/w_640,h_450,c_limit/undefined 640w" sizes="100vw"/><source media="(min-width: 768px)" srcSet="https://media.wired.com/photos/64a3018bc30f50376ee87600/16:9/w_120,h_450,c_limit/undefined 120w, https://media.wired.com/photos/64a3018bc30f50376ee87600/16:9/w_240,h_450,c_limit/undefined 240w, https://media.wired.com/photos/64a3018bc30f50376ee87600/16:9/w_320,h_450,c_limit/undefined 320w, https://media.wired.com/photos/64a3018bc30f50376ee87600/16:9/w_640,h_450,c_limit/undefined 640w" sizes="100vw"/><img alt="Open-Source Your Blender to Fight Electronic Waste" class="ResponsiveImageContainer-eybHBd fptoWY responsive-image__image" src="https://media.wired.com/photos/64a3018bc30f50376ee87600/16:9/w_800%2Ch_450%2Cc_limit/undefined"/></noscript></picture></div></div></span></a></div><div class="SummaryItemContent-eiDYMl jpXMZX summary-item__content summary-item__content--no-rubric"><a class="SummaryItemHedLink-civMjp ejgyuy summary-item-tracking__hed-link summary-item__hed-link" data-component-type="recirc-river" data-recirc-id="item-hed-3" data-recirc-pattern="summary-item" href="https://www.wired.com/story/open-source-your-blender-to-fight-electronic-waste/#intcid=_wired-bottom-recirc_96b5c6c8-bc01-4b38-9624-b1f229e2f7c0_cral2-2-reranked-by-vidi" target="_self"><div data-testid="ClampWrapper" class="ClampWrapper-kZxfkB hTTNGO clamp SummaryItemHedBase-hiFYpQ hEVeCr summary-item__hed"><div class="ClampContent-hilPkr jVhSBH"><div class="SummaryItemHedTag-TWblf gxaOcP" data-testid="SummaryItemHed">Open-Source Your Blender to Fight Electronic Waste</div></div></div></a><div class="BaseWrap-sc-gjQpdd BaseText-ewhhUZ SummaryItemDek-CRfsi iUEiRd dyJpMk htqcaA summary-item__dek summary-item__dek--extra-spacing">Berlin-based Open Funk is tackling throwaway culture with a blender that&#39;s as easy to fix as to replace.</div><div class="SummaryItemBylineWrapper-boCfbi cuRXdL summary-item__byline-date-icon"><div class="SummaryItemBaseByline-fFbXkY iQEKph summary-item__byline"><div class="summary-item__byline__content"><div data-testid="BylinesWrapper" class="BylinesWrapper-KIudk irTIfE bylines"><p class="BylineWrapper-jWHrLH cExbzu byline bylines__byline" data-testid="BylineWrapper" itemProp="author" itemType="http://schema.org/Person"><span itemProp="name" class="BylineNamesWrapper-jbHncj fuDQVo"><span data-testid="BylineName" class="BylineName-kwmrLn cYaBaU byline__name">Jack McGovan</span></span></p></div></div></div></div></div></div><div class="AdWrapper-dQtivb fZrssQ SummaryCollectionGridSummaryItem-WColm dTFXCW ad ad--read-more"><div class="ad__slot ad__slot--read-more" data-node-id="4a7vu"></div></div><div class="SummaryItemWrapper-iwvBff hymcSS summary-item summary-item--ARTICLE summary-item--no-icon summary-item--text-align-left summary-item--layout-placement-text-below summary-item--layout-position-image-left summary-item--layout-proportions-50-50 summary-item--side-by-side-align-center summary-item--side-by-side-image-right-mobile-false summary-item--standard SummaryCollectionGridSummaryItem-WColm dTFXCW" role="button" tabindex="0"><div class="SummaryItemAssetContainer-gwhFFH inVOyg summary-item__asset-container"><a class="SummaryItemImageLink-dshqxb cPpCwE summary-item__image-link summary-item-tracking__image-link" href="https://www.wired.com/story/video-games-ai-copyright/#intcid=_wired-bottom-recirc_96b5c6c8-bc01-4b38-9624-b1f229e2f7c0_cral2-2-reranked-by-vidi" aria-hidden="true" tabindex="-1" data-component-type="recirc-river" data-recirc-id="item-image-4" data-recirc-pattern="summary-item" target="_self"><span class="SpanWrapper-umhxW kGxnNB responsive-asset SummaryItemResponsiveAsset-hjGIGg bDvSkO summary-item__image"><div data-test="aspect-ratio-container" class="AspectRatioContainer-bJHpJz jTnDXj"><div class="aspect-ratio--overlay-container"><picture class="ResponsiveImagePicture-cWuUZO dUOtEa SummaryItemResponsiveAsset-hjGIGg bDvSkO summary-item__image responsive-image"><noscript><source media="(max-width: 767px)" srcSet="https://media.wired.com/photos/64a43fe6c3f2cf2daf39fc6a/16:9/w_120,h_450,c_limit/undefined 120w, https://media.wired.com/photos/64a43fe6c3f2cf2daf39fc6a/16:9/w_240,h_450,c_limit/undefined 240w, https://media.wired.com/photos/64a43fe6c3f2cf2daf39fc6a/16:9/w_320,h_450,c_limit/undefined 320w, https://media.wired.com/photos/64a43fe6c3f2cf2daf39fc6a/16:9/w_640,h_450,c_limit/undefined 640w" sizes="100vw"/><source media="(min-width: 768px)" srcSet="https://media.wired.com/photos/64a43fe6c3f2cf2daf39fc6a/16:9/w_120,h_450,c_limit/undefined 120w, https://media.wired.com/photos/64a43fe6c3f2cf2daf39fc6a/16:9/w_240,h_450,c_limit/undefined 240w, https://media.wired.com/photos/64a43fe6c3f2cf2daf39fc6a/16:9/w_320,h_450,c_limit/undefined 320w, https://media.wired.com/photos/64a43fe6c3f2cf2daf39fc6a/16:9/w_640,h_450,c_limit/undefined 640w" sizes="100vw"/><img alt="Generative AI in Games Will Create a Copyright Crisis" class="ResponsiveImageContainer-eybHBd fptoWY responsive-image__image" src="https://media.wired.com/photos/64a43fe6c3f2cf2daf39fc6a/16:9/w_800%2Ch_450%2Cc_limit/undefined"/></noscript></picture></div></div></span></a></div><div class="SummaryItemContent-eiDYMl jpXMZX summary-item__content summary-item__content--no-rubric"><a class="SummaryItemHedLink-civMjp ejgyuy summary-item-tracking__hed-link summary-item__hed-link" data-component-type="recirc-river" data-recirc-id="item-hed-4" data-recirc-pattern="summary-item" href="https://www.wired.com/story/video-games-ai-copyright/#intcid=_wired-bottom-recirc_96b5c6c8-bc01-4b38-9624-b1f229e2f7c0_cral2-2-reranked-by-vidi" target="_self"><div data-testid="ClampWrapper" class="ClampWrapper-kZxfkB hTTNGO clamp SummaryItemHedBase-hiFYpQ hEVeCr summary-item__hed"><div class="ClampContent-hilPkr jVhSBH"><div class="SummaryItemHedTag-TWblf gxaOcP" data-testid="SummaryItemHed">Generative AI in Games Will Create a Copyright Crisis</div></div></div></a><div class="BaseWrap-sc-gjQpdd BaseText-ewhhUZ SummaryItemDek-CRfsi iUEiRd dyJpMk htqcaA summary-item__dek summary-item__dek--extra-spacing">Titles like <em>AI Dungeon</em> are already using generative AI to generate in-game content. Nobody knows who owns it.</div><div class="SummaryItemBylineWrapper-boCfbi cuRXdL summary-item__byline-date-icon"><div class="SummaryItemBaseByline-fFbXkY iQEKph summary-item__byline"><div class="summary-item__byline__content"><div data-testid="BylinesWrapper" class="BylinesWrapper-KIudk irTIfE bylines"><p class="BylineWrapper-jWHrLH cExbzu byline bylines__byline" data-testid="BylineWrapper" itemProp="author" itemType="http://schema.org/Person"><span itemProp="name" class="BylineNamesWrapper-jbHncj fuDQVo"><span data-testid="BylineName" class="BylineName-kwmrLn cYaBaU byline__name">Will Bedingfield</span></span></p></div></div></div></div></div></div><div class="SummaryItemWrapper-iwvBff hymcSS summary-item summary-item--ARTICLE summary-item--no-icon summary-item--text-align-left summary-item--layout-placement-text-below summary-item--layout-position-image-left summary-item--layout-proportions-50-50 summary-item--side-by-side-align-center summary-item--side-by-side-image-right-mobile-false summary-item--standard SummaryCollectionGridSummaryItem-WColm dTFXCW" role="button" tabindex="0"><div class="SummaryItemAssetContainer-gwhFFH inVOyg summary-item__asset-container"><a class="SummaryItemImageLink-dshqxb cPpCwE summary-item__image-link summary-item-tracking__image-link" href="https://www.wired.com/story/how-to-install-threads-on-windows/#intcid=_wired-bottom-recirc_96b5c6c8-bc01-4b38-9624-b1f229e2f7c0_cral2-2-reranked-by-vidi" aria-hidden="true" tabindex="-1" data-component-type="recirc-river" data-recirc-id="item-image-5" data-recirc-pattern="summary-item" target="_self"><span class="SpanWrapper-umhxW kGxnNB responsive-asset SummaryItemResponsiveAsset-hjGIGg bDvSkO summary-item__image"><div data-test="aspect-ratio-container" class="AspectRatioContainer-bJHpJz jTnDXj"><div class="aspect-ratio--overlay-container"><picture class="ResponsiveImagePicture-cWuUZO dUOtEa SummaryItemResponsiveAsset-hjGIGg bDvSkO summary-item__image responsive-image"><noscript><source media="(max-width: 767px)" srcSet="https://media.wired.com/photos/64a8b5829ec11a2433532c97/16:9/w_120,h_450,c_limit/undefined 120w, https://media.wired.com/photos/64a8b5829ec11a2433532c97/16:9/w_240,h_450,c_limit/undefined 240w, https://media.wired.com/photos/64a8b5829ec11a2433532c97/16:9/w_320,h_450,c_limit/undefined 320w, https://media.wired.com/photos/64a8b5829ec11a2433532c97/16:9/w_640,h_450,c_limit/undefined 640w" sizes="100vw"/><source media="(min-width: 768px)" srcSet="https://media.wired.com/photos/64a8b5829ec11a2433532c97/16:9/w_120,h_450,c_limit/undefined 120w, https://media.wired.com/photos/64a8b5829ec11a2433532c97/16:9/w_240,h_450,c_limit/undefined 240w, https://media.wired.com/photos/64a8b5829ec11a2433532c97/16:9/w_320,h_450,c_limit/undefined 320w, https://media.wired.com/photos/64a8b5829ec11a2433532c97/16:9/w_640,h_450,c_limit/undefined 640w" sizes="100vw"/><img alt="How to Install Threads on Your Windows Desktop" class="ResponsiveImageContainer-eybHBd fptoWY responsive-image__image" src="https://media.wired.com/photos/64a8b5829ec11a2433532c97/16:9/w_800%2Ch_450%2Cc_limit/undefined"/></noscript></picture></div></div></span></a></div><div class="SummaryItemContent-eiDYMl jpXMZX summary-item__content summary-item__content--no-rubric"><a class="SummaryItemHedLink-civMjp ejgyuy summary-item-tracking__hed-link summary-item__hed-link" data-component-type="recirc-river" data-recirc-id="item-hed-5" data-recirc-pattern="summary-item" href="https://www.wired.com/story/how-to-install-threads-on-windows/#intcid=_wired-bottom-recirc_96b5c6c8-bc01-4b38-9624-b1f229e2f7c0_cral2-2-reranked-by-vidi" target="_self"><div data-testid="ClampWrapper" class="ClampWrapper-kZxfkB hTTNGO clamp SummaryItemHedBase-hiFYpQ hEVeCr summary-item__hed"><div class="ClampContent-hilPkr jVhSBH"><div class="SummaryItemHedTag-TWblf gxaOcP" data-testid="SummaryItemHed">How to Install Threads on Your Windows Desktop</div></div></div></a><div class="BaseWrap-sc-gjQpdd BaseText-ewhhUZ SummaryItemDek-CRfsi iUEiRd dyJpMk htqcaA summary-item__dek summary-item__dek--extra-spacing">Metas new social app may be mobile-first, but with a little effort, you can install it on your desktop PC. Heres how.</div><div class="SummaryItemBylineWrapper-boCfbi cuRXdL summary-item__byline-date-icon"><div class="SummaryItemBaseByline-fFbXkY iQEKph summary-item__byline"><div class="summary-item__byline__content"><div data-testid="BylinesWrapper" class="BylinesWrapper-KIudk irTIfE bylines"><p class="BylineWrapper-jWHrLH cExbzu byline bylines__byline" data-testid="BylineWrapper" itemProp="author" itemType="http://schema.org/Person"><span itemProp="name" class="BylineNamesWrapper-jbHncj fuDQVo"><span data-testid="BylineName" class="BylineName-kwmrLn cYaBaU byline__name">Tushar Nene</span></span></p></div></div></div></div></div></div><div class="SummaryItemWrapper-iwvBff hymcSS summary-item summary-item--ARTICLE summary-item--no-icon summary-item--text-align-left summary-item--layout-placement-text-below summary-item--layout-position-image-left summary-item--layout-proportions-50-50 summary-item--side-by-side-align-center summary-item--side-by-side-image-right-mobile-false summary-item--standard SummaryCollectionGridSummaryItem-WColm dTFXCW" role="button" tabindex="0"><div class="SummaryItemAssetContainer-gwhFFH inVOyg summary-item__asset-container"><a class="SummaryItemImageLink-dshqxb cPpCwE summary-item__image-link summary-item-tracking__image-link" href="https://www.wired.com/story/how-to-find-twitter-friends-threads-meta/#intcid=_wired-bottom-recirc_96b5c6c8-bc01-4b38-9624-b1f229e2f7c0_cral2-2-reranked-by-vidi" aria-hidden="true" tabindex="-1" data-component-type="recirc-river" data-recirc-id="item-image-6" data-recirc-pattern="summary-item" target="_self"><span class="SpanWrapper-umhxW kGxnNB responsive-asset SummaryItemResponsiveAsset-hjGIGg bDvSkO summary-item__image"><div data-test="aspect-ratio-container" class="AspectRatioContainer-bJHpJz jTnDXj"><div class="aspect-ratio--overlay-container"><picture class="ResponsiveImagePicture-cWuUZO dUOtEa SummaryItemResponsiveAsset-hjGIGg bDvSkO summary-item__image responsive-image"><noscript><source media="(max-width: 767px)" srcSet="https://media.wired.com/photos/64a894d02cc57777ec67f202/16:9/w_120,h_450,c_limit/undefined 120w, https://media.wired.com/photos/64a894d02cc57777ec67f202/16:9/w_240,h_450,c_limit/undefined 240w, https://media.wired.com/photos/64a894d02cc57777ec67f202/16:9/w_320,h_450,c_limit/undefined 320w, https://media.wired.com/photos/64a894d02cc57777ec67f202/16:9/w_640,h_450,c_limit/undefined 640w" sizes="100vw"/><source media="(min-width: 768px)" srcSet="https://media.wired.com/photos/64a894d02cc57777ec67f202/16:9/w_120,h_450,c_limit/undefined 120w, https://media.wired.com/photos/64a894d02cc57777ec67f202/16:9/w_240,h_450,c_limit/undefined 240w, https://media.wired.com/photos/64a894d02cc57777ec67f202/16:9/w_320,h_450,c_limit/undefined 320w, https://media.wired.com/photos/64a894d02cc57777ec67f202/16:9/w_640,h_450,c_limit/undefined 640w" sizes="100vw"/><img alt="How to Find Your Twitter Friends on Threads" class="ResponsiveImageContainer-eybHBd fptoWY responsive-image__image" src="https://media.wired.com/photos/64a894d02cc57777ec67f202/16:9/w_800%2Ch_450%2Cc_limit/undefined"/></noscript></picture></div></div></span></a></div><div class="SummaryItemContent-eiDYMl jpXMZX summary-item__content summary-item__content--no-rubric"><a class="SummaryItemHedLink-civMjp ejgyuy summary-item-tracking__hed-link summary-item__hed-link" data-component-type="recirc-river" data-recirc-id="item-hed-6" data-recirc-pattern="summary-item" href="https://www.wired.com/story/how-to-find-twitter-friends-threads-meta/#intcid=_wired-bottom-recirc_96b5c6c8-bc01-4b38-9624-b1f229e2f7c0_cral2-2-reranked-by-vidi" target="_self"><div data-testid="ClampWrapper" class="ClampWrapper-kZxfkB hTTNGO clamp SummaryItemHedBase-hiFYpQ hEVeCr summary-item__hed"><div class="ClampContent-hilPkr jVhSBH"><div class="SummaryItemHedTag-TWblf gxaOcP" data-testid="SummaryItemHed">How to Find Your Twitter Friends on Threads</div></div></div></a><div class="BaseWrap-sc-gjQpdd BaseText-ewhhUZ SummaryItemDek-CRfsi iUEiRd dyJpMk htqcaA summary-item__dek summary-item__dek--extra-spacing">Want to reconnect with people and grow your clout on Threads? Here are a few tips to help you get started.</div><div class="SummaryItemBylineWrapper-boCfbi cuRXdL summary-item__byline-date-icon"><div class="SummaryItemBaseByline-fFbXkY iQEKph summary-item__byline"><div class="summary-item__byline__content"><div data-testid="BylinesWrapper" class="BylinesWrapper-KIudk irTIfE bylines"><p class="BylineWrapper-jWHrLH cExbzu byline bylines__byline" data-testid="BylineWrapper" itemProp="author" itemType="http://schema.org/Person"><span itemProp="name" class="BylineNamesWrapper-jbHncj fuDQVo"><span data-testid="BylineName" class="BylineName-kwmrLn cYaBaU byline__name">Reece Rogers</span></span></p></div></div></div></div></div></div><div class="SummaryItemWrapper-iwvBff hymcSS summary-item summary-item--ARTICLE summary-item--no-icon summary-item--text-align-left summary-item--layout-placement-text-below summary-item--layout-position-image-left summary-item--layout-proportions-50-50 summary-item--side-by-side-align-center summary-item--side-by-side-image-right-mobile-false summary-item--standard SummaryCollectionGridSummaryItem-WColm dTFXCW" role="button" tabindex="0"><div class="SummaryItemAssetContainer-gwhFFH inVOyg summary-item__asset-container"><a class="SummaryItemImageLink-dshqxb cPpCwE summary-item__image-link summary-item-tracking__image-link" href="https://www.wired.com/story/ukraine-government-battlefield-data/#intcid=_wired-bottom-recirc_96b5c6c8-bc01-4b38-9624-b1f229e2f7c0_cral2-2-reranked-by-vidi" aria-hidden="true" tabindex="-1" data-component-type="recirc-river" data-recirc-id="item-image-7" data-recirc-pattern="summary-item" target="_self"><span class="SpanWrapper-umhxW kGxnNB responsive-asset SummaryItemResponsiveAsset-hjGIGg bDvSkO summary-item__image"><div data-test="aspect-ratio-container" class="AspectRatioContainer-bJHpJz jTnDXj"><div class="aspect-ratio--overlay-container"><picture class="ResponsiveImagePicture-cWuUZO dUOtEa SummaryItemResponsiveAsset-hjGIGg bDvSkO summary-item__image responsive-image"><noscript><source media="(max-width: 767px)" srcSet="https://media.wired.com/photos/64b9f227eb3f06fa8140d18d/16:9/w_120,h_450,c_limit/undefined 120w, https://media.wired.com/photos/64b9f227eb3f06fa8140d18d/16:9/w_240,h_450,c_limit/undefined 240w, https://media.wired.com/photos/64b9f227eb3f06fa8140d18d/16:9/w_320,h_450,c_limit/undefined 320w, https://media.wired.com/photos/64b9f227eb3f06fa8140d18d/16:9/w_640,h_450,c_limit/undefined 640w" sizes="100vw"/><source media="(min-width: 768px)" srcSet="https://media.wired.com/photos/64b9f227eb3f06fa8140d18d/16:9/w_120,h_450,c_limit/undefined 120w, https://media.wired.com/photos/64b9f227eb3f06fa8140d18d/16:9/w_240,h_450,c_limit/undefined 240w, https://media.wired.com/photos/64b9f227eb3f06fa8140d18d/16:9/w_320,h_450,c_limit/undefined 320w, https://media.wired.com/photos/64b9f227eb3f06fa8140d18d/16:9/w_640,h_450,c_limit/undefined 640w" sizes="100vw"/><img alt="Everyone Wants Ukraines Battlefield Data" class="ResponsiveImageContainer-eybHBd fptoWY responsive-image__image" src="https://media.wired.com/photos/64b9f227eb3f06fa8140d18d/16:9/w_800%2Ch_450%2Cc_limit/undefined"/></noscript></picture></div></div></span></a></div><div class="SummaryItemContent-eiDYMl jpXMZX summary-item__content summary-item__content--no-rubric"><a class="SummaryItemHedLink-civMjp ejgyuy summary-item-tracking__hed-link summary-item__hed-link" data-component-type="recirc-river" data-recirc-id="item-hed-7" data-recirc-pattern="summary-item" href="https://www.wired.com/story/ukraine-government-battlefield-data/#intcid=_wired-bottom-recirc_96b5c6c8-bc01-4b38-9624-b1f229e2f7c0_cral2-2-reranked-by-vidi" target="_self"><div data-testid="ClampWrapper" class="ClampWrapper-kZxfkB hTTNGO clamp SummaryItemHedBase-hiFYpQ hEVeCr summary-item__hed"><div class="ClampContent-hilPkr jVhSBH"><div class="SummaryItemHedTag-TWblf gxaOcP" data-testid="SummaryItemHed">Everyone Wants Ukraines Battlefield Data</div></div></div></a><div class="BaseWrap-sc-gjQpdd BaseText-ewhhUZ SummaryItemDek-CRfsi iUEiRd dyJpMk htqcaA summary-item__dek summary-item__dek--extra-spacing">Global companies are offering free products to get access to live combat data. The Ukrainian government wants to keep this resource for its own emerging defense industry.</div><div class="SummaryItemBylineWrapper-boCfbi cuRXdL summary-item__byline-date-icon"><div class="SummaryItemBaseByline-fFbXkY iQEKph summary-item__byline"><div class="summary-item__byline__content"><div data-testid="BylinesWrapper" class="BylinesWrapper-KIudk irTIfE bylines"><p class="BylineWrapper-jWHrLH cExbzu byline bylines__byline" data-testid="BylineWrapper" itemProp="author" itemType="http://schema.org/Person"><span itemProp="name" class="BylineNamesWrapper-jbHncj fuDQVo"><span data-testid="BylineName" class="BylineName-kwmrLn cYaBaU byline__name">Morgan Meaker</span></span></p></div></div></div></div></div></div><div class="SummaryItemWrapper-iwvBff hymcSS summary-item summary-item--ARTICLE summary-item--no-icon summary-item--text-align-left summary-item--layout-placement-text-below summary-item--layout-position-image-left summary-item--layout-proportions-50-50 summary-item--side-by-side-align-center summary-item--side-by-side-image-right-mobile-false summary-item--standard SummaryCollectionGridSummaryItem-WColm dTFXCW" role="button" tabindex="0"><div class="SummaryItemAssetContainer-gwhFFH inVOyg summary-item__asset-container"><a class="SummaryItemImageLink-dshqxb cPpCwE summary-item__image-link summary-item-tracking__image-link" href="https://www.wired.com/story/spain-elections-gig-workers-far-right/#intcid=_wired-bottom-recirc_96b5c6c8-bc01-4b38-9624-b1f229e2f7c0_cral2-2-reranked-by-vidi" aria-hidden="true" tabindex="-1" data-component-type="recirc-river" data-recirc-id="item-image-8" data-recirc-pattern="summary-item" target="_self"><span class="SpanWrapper-umhxW kGxnNB responsive-asset SummaryItemResponsiveAsset-hjGIGg bDvSkO summary-item__image"><div data-test="aspect-ratio-container" class="AspectRatioContainer-bJHpJz jTnDXj"><div class="aspect-ratio--overlay-container"><picture class="ResponsiveImagePicture-cWuUZO dUOtEa SummaryItemResponsiveAsset-hjGIGg bDvSkO summary-item__image responsive-image"><noscript><source media="(max-width: 767px)" srcSet="https://media.wired.com/photos/64b869160227ed23db804466/16:9/w_120,h_450,c_limit/undefined 120w, https://media.wired.com/photos/64b869160227ed23db804466/16:9/w_240,h_450,c_limit/undefined 240w, https://media.wired.com/photos/64b869160227ed23db804466/16:9/w_320,h_450,c_limit/undefined 320w, https://media.wired.com/photos/64b869160227ed23db804466/16:9/w_640,h_450,c_limit/undefined 640w" sizes="100vw"/><source media="(min-width: 768px)" srcSet="https://media.wired.com/photos/64b869160227ed23db804466/16:9/w_120,h_450,c_limit/undefined 120w, https://media.wired.com/photos/64b869160227ed23db804466/16:9/w_240,h_450,c_limit/undefined 240w, https://media.wired.com/photos/64b869160227ed23db804466/16:9/w_320,h_450,c_limit/undefined 320w, https://media.wired.com/photos/64b869160227ed23db804466/16:9/w_640,h_450,c_limit/undefined 640w" sizes="100vw"/><img alt="Spains Elections Pit Gig Workers Against the Far Right" class="ResponsiveImageContainer-eybHBd fptoWY responsive-image__image" src="https://media.wired.com/photos/64b869160227ed23db804466/16:9/w_800%2Ch_450%2Cc_limit/undefined"/></noscript></picture></div></div></span></a></div><div class="SummaryItemContent-eiDYMl jpXMZX summary-item__content summary-item__content--no-rubric"><a class="SummaryItemHedLink-civMjp ejgyuy summary-item-tracking__hed-link summary-item__hed-link" data-component-type="recirc-river" data-recirc-id="item-hed-8" data-recirc-pattern="summary-item" href="https://www.wired.com/story/spain-elections-gig-workers-far-right/#intcid=_wired-bottom-recirc_96b5c6c8-bc01-4b38-9624-b1f229e2f7c0_cral2-2-reranked-by-vidi" target="_self"><div data-testid="ClampWrapper" class="ClampWrapper-kZxfkB hTTNGO clamp SummaryItemHedBase-hiFYpQ hEVeCr summary-item__hed"><div class="ClampContent-hilPkr jVhSBH"><div class="SummaryItemHedTag-TWblf gxaOcP" data-testid="SummaryItemHed">Spains Elections Pit Gig Workers Against the Far Right</div></div></div></a><div class="BaseWrap-sc-gjQpdd BaseText-ewhhUZ SummaryItemDek-CRfsi iUEiRd dyJpMk htqcaA summary-item__dek summary-item__dek--extra-spacing">A coalition including the right-wing Vox party wants to dismantle protections for workers on Glovo and Uber Eats. If theyre elected, they could change the gig economy across Europe.</div><div class="SummaryItemBylineWrapper-boCfbi cuRXdL summary-item__byline-date-icon"><div class="SummaryItemBaseByline-fFbXkY iQEKph summary-item__byline"><div class="summary-item__byline__content"><div data-testid="BylinesWrapper" class="BylinesWrapper-KIudk irTIfE bylines"><p class="BylineWrapper-jWHrLH cExbzu byline bylines__byline" data-testid="BylineWrapper" itemProp="author" itemType="http://schema.org/Person"><span itemProp="name" class="BylineNamesWrapper-jbHncj fuDQVo"><span data-testid="BylineName" class="BylineName-kwmrLn cYaBaU byline__name">Ben Wray</span></span></p></div></div></div></div></div></div></div><div class="SummaryCollectionGridToActionWrapper-gnReGN eGayfk"></div></div></div></div></div></div><div class="RowWrapper-UmqTg HEhan"><div class="TaboolaWrapper-hMVdpE iYfBhy"><div class="TaboolaWidgetWrapper-egPIjc hkSrgt TaboolaWidget-eUSdED hQCCRa" data-testid="TaboolaWidgetWrapper"><div class="TaboolaWidgetContent-iBEQTO eXroXG TABOOLA" id="taboola-below-article-thumbnails" data-testid="TaboolaWidgetContent"></div></div></div></div><div class="RowWrapper-UmqTg HEhan"><div class="AdWrapper-dQtivb fZrssQ ad ad--footer should-hold-space"><div class="ad__slot ad__slot--footer" data-node-id="x88jzv"></div></div></div></div></div></main><div class="BasePageMainFooterFiller-hTlZph jSriYf page__main-footer-filler"></div><div class="RowWrapper-UmqTg HEhan"><div class="ConsumerMarketingUnitThemedWrapper-iUTMTf jssHut consumer-marketing-unit consumer-marketing-unit--cm-footer" role="presentation" aria-hidden="true"><div class="consumer-marketing-unit__slot consumer-marketing-unit__slot--cm-footer"></div><div class="journey-unit"></div></div></div><div class="RowWrapper-UmqTg HEhan BasePageSiteFooterRow-kpEBGH jqlJed"><div class="GridWrapper-cAzTTK eRggVV grid grid-margins grid-items-0 BasePageSiteFooterRowGrid-iBGjXL zQNeb"><div class="GridItem-buujkM kHPPIF grid--item"><footer class="SiteFooterWrapper-bXjkRY kSNjIA site-footer--with-store"><div class="SiteFooterGridNoMargins-jSrXSj kdlxBX" data-testid="SiteFooterGridNoMargins"><div class="SiteFooterBrandInfo-cdoqKy cdkwFG"><div class="SiteFooterLogo-eYlNHY eigdAF site-footer__logo"><a href="/"><span class="SpanWrapper-umhxW jvZaPI responsive-asset SiteFooterLogoResponsiveAsset-ckjzWk kubVDn site-footer__responsive-image"><picture class="ResponsiveImagePicture-cWuUZO dUOtEa SiteFooterLogoResponsiveAsset-ckjzWk kubVDn site-footer__responsive-image responsive-image"><img alt="WIRED" class="ResponsiveImageContainer-eybHBd fptoWY responsive-image__image" src="/verso/static/wired/assets/logo-reverse.svg" srcSet="" sizes="100vw"/></picture></span></a></div><div data-testid="SiteFooterAbout" class="SiteFooterAbout-lflfWa isidEN"><div class="SiteFooterAboutText-XXKBX blTbmF">WIRED is where tomorrow is realized. 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intelligence,google,algorithms,machine learning,deep learning,bing,chatgpt","head.og.type":"article","head.robots":"index, follow, max-image-preview:large","head.title":"Hands On With Google Searchs Answer to ChatGPT | WIRED","tenant":"wired","head.social.title":"Hands On With Google Searchs Answer to ChatGPT","head.social.description":"Googles new AI-powered search engine can feel more like artificial interference than artificial intelligence.","head.promo.dek":"Googles new AI-powered search engine can feel more like artificial interference than artificial intelligence.","head.social.opinion":"false","head.jsonld":[{"@context":"http:\u002F\u002Fschema.org","@type":"NewsArticle","articleBody":"Googles clunkily named Search Generative Experience, SGE for short, infuses its search box with ChatGPT-like conversational functionality. You can sign up at Googles Search Labs. The company says it wants users to converse with its search chatbot, which launched to testers in May, to dive deeper into topics and ask more challenging and intuitive questions than they would type into a boring old query box. And AI-generated answers are meant to organize information more clearly than a traditional search results page—for example, by pulling together information from multiple websites. Most of the worlds web searches run through Google, and its been developing AI technologies longer than most companies, so its fair to expect a top-notch experience.\nSo goes the theory. It turns out that in practice the new feature is so far more nuisance than aide. Its slow, ineffective, verbose, and cluttered—more artificial interference than intelligence.\nOnce you gain access to Googles test, the search box looks unchanged. But in response to a query like “How many stamps to mail 8 ounce letter,” a new section takes up a good chunk of the screen, pushing down the conventional list of links. Within that area, Googles large language models generate a couple of paragraphs similar to what you might find from ChatGPT or Microsofts Bing Chat. Buttons at the bottom lead to a chatbot interface where you can ask follow-up questions.\nThe first thing I noticed about Google's vision for the future of search was its sluggishness. In tests where I controlled a stopwatch app with one hand and submitted a query with the other, it sometimes took nearly six seconds for Googles text-generator to spit out its answer. The norm was more than three seconds, compared to no more than one second for Googles conventional results to appear. Things could have been worse: I did my tests after Google rolled out an update which it claims doubled the search bots speed last month. Yet I still often find myself deep into reading the regular results by the time the generative AI finishes up, meaning I end up ignoring its tardily submitted dissertations. Cathy Edwards, a Google Search vice president, tells me speed optimizations of the AI software underpinning the tool are ongoing.\nOne could excuse the slowness of this new form of search if the results were worthwhile. But accuracy is spotty. Googles five-sentence generative AI response to my stamps question included apparent errors of both multiplication and subtraction, stamp prices outdated by two years, and suggested follow-up questions that ignored crucial variables for shipping costs, such as shape, size, and destination. The disclaimer Google displays at the top of each AI-generated answer rang resoundingly true: “Generative AI is experimental. Info quality may vary.”\nIn the same response, Googles new search feature suggested that I would need either $2.47 or $4 worth of stamps. Navigating to the US Postal Services online calculator provided the official answer: I needed $3.03, or five stamps at 66 cents each with a 27-cent overpayment. Googles Edwards says my humble query pushed the technologys current boundaries. “It's definitely on the frontier,” she says.\nUnfortunately, dumbing down didnt end well either. When asked for just the price of a stamp, Google responded with an outdated figure. Only specifying that I wanted the price as of this month got the system to correctly reflect this months 3-cent cost hike. To be fair, ChatGPT would flunk this query too because its training data cuts off in 2021—but it is not positioned as a replacement for a search engine.\nGoogle's new search experience feels unreliable enough that Im better off just clicking through standard results to conduct my own research. A query about Star Wars video games developed by gamemaker Electronic Arts generated an accurate list except for the inclusion of one title from EA rival Ubisoft. Ironically, the generative-AI description of the game in the result mentioned it was made by Ubisoft, demonstrating how large language models can contradict themselves.\nWhen asked about players whom the San Diego Padres—which surely will beat Stevens Phillies to a wild card spot—may try to acquire through a swap with another baseball team, Googles AI response started with two players currently at the Padres, confusing trade chips as trade targets.\nGoogle has put in some protective measures. The new search experience does not display for some health or financial queries, for which Google has placed a higher bar for accuracy. And the experience almost always prominently features links to related resources on the web to help users corroborate the AI outputs. Results on queries like “Write a poem” have the disclaimer “You may see inaccurate creative content.” And the AI system generally wont try to sound too cute or adopt a persona. “We don't think people actually want to talk to Google,” Edwards says, drawing a contrast with Bing Chat, which is known to go into first-person speech or sprinkle emojis.\nAt times, Googles new vision for search can feel more like a step back than a leap into the future. The generated answers can duplicate other features on the results page, such as featured snippets that draw a clear and digestible answer from a website or knowledge boxes that provide a paragraph-length overview of a topic from Wikipedia. When it belatedly chimes in on results like those, the generative AI version tends to be the most wordy and trickiest to make sense of.\nEdwards mentioned at least eight times in our 30-minute discussion about my experiences with the new feature that it is still early in its development with plenty of kinks to iron out. “I don't think you're gonna hear me say that we have nailed this,” she says. “We're at the beginning of a 10-year-long arc of transformation.” She also says the feedback to date has been “super positive,” but perhaps most importantly, she says that what Google eventually launches to all users “might look quite different to where we are today.”\nAn experience that is speedier, less crammed with content, and able to help ship WIRED issues to readers without risking them getting returned for underpaid postage would be nice.\nTime Travel\nGoogles quest to pithily respond to users questions with direct answers began years ago. Back in 2016, then-WIRED writer Cade Metz wrote about how Google assembled about 100 linguistics PhDs fluent in about two dozen languages to condense writing and annotate sentences to help train AI systems to understand how human language works. Google expected the team and the technology to grow for years to come.\nThese \"sentence compression algorithms\" just went live on the desktop incarnation of the search engine. They handle a task that's pretty simple for humans but has traditionally been quite difficult for machines. They show how deep learning is advancing the art of natural language understanding, the ability to understand and respond to natural human speech. \"You need to use neural networks—or at least that is the only way we have found to do it,\" Google research product manager David Orr says of the company's sentence compression work.\nGoogle trains these neural networks using data handcrafted by a massive team of PhD linguists it calls Pygmalion. In effect, Google's machines learn how to extract relevant answers from long strings of text by watching humans do it—over and over again. These painstaking efforts show both the power and the limitations of deep learning. To train artificially intelligent systems like this, you need lots and lots of data that's been sifted by human intelligence. That kind of data doesn't come easy—or cheap. And the need for it isn't going away anytime soon.\nBut just a year later, Google researchers devised a new approach to training AI that made much of that prep unnecessary and led to the large language models that underlie services such as ChatGPT and the new Google Search. Looking back, I wouldnt mind the crisp Google Search answer snippets of years past.\nAsk Me One Thing\nJennifer Phoenix, via Facebook, asks why AI image generators continue to get hands and fingers wrong. “I read its because of complexity,” she says, “but Id think the remedy is more training on those features.”\nIm with you, Jennifer. After reading your question, I tried generating images of “hand with a ring tattoo of setting sun” in a demo version of the AI tool Stable Diffusion. The batch of four results I got back featured disjointed, wobbly fingers and hands with missing digits, unnaturally slender wrists, or giant knuckles. In contrast, the query “face with cheek tattoo of setting sun” did result in some wild images, but at least the faces looked realistic.\nPranav Dixit did a deep dive for BuzzFeed News (RIP) earlier this year into the history of hands in art, and wrote that the fact that peoples hands are often busy—holding cups, for instance—can explain why AI systems struggle to recreate them realistically. The New Yorkers Kyle Chayka also looked at the issue, pointing out that making more precise commands to AI image generators about what hands should be doing can help.\nAs you say, Jennifer, throwing better or more diverse data at AI systems should often result in more accurate outcomes. Some users spotted modest improvements in output of hands in “v5” of Midjourneys AI generator earlier this year. But Midjourney CEO David Holz tells me by email that the company “didn't do anything specific for hands. Our stuff just works better in v5.”\nOn the other hand, Stable Diffusions developer Stability AI did work specifically on the hands problem while developing its newest version, which was released this week. Joe Penna, Stabilitys head of applied machine learning, says poorly-generated hands was the top complaint from users. When I tried the new model with my hand-tattoo query, two images turned out well while the other two lacked some knuckles.\nThe new model has about eight times the capacity of its predecessor to learn visual patterns to reproduce, which essentially means it can remember more about how hands should look, Penna says. The company also gave it additional training on images of people and artwork, to reflect what users are most interested in. Now, says Penna, “it's remembering things like hands a lot more.”\nInserting millions of additional images of hands to the training data actually worsened generated images of hands, making them oversize, Penna says, but he says the company is testing different tactics to drive further improvement.\nBefore speaking to Penna, I hypothesized AI developers may want to avoid achieving perfection because imperfect hands are a common way to spot deepfakes. Penna says that wasnt the case, but that Stability took other steps to make sure its obvious when images have been generated with its technology. \"We're not going to go back to building worse hands, so let's start being very careful with the images that we see on the internet,” he says.\nWith bone structure fails starting to get settled, maybe next the companies can take on the fact that all 12 images I generated from my test prompts depicted fair-skin hands? Ill leave explaining that to Steven in a future Plaintext.\nYou can submit questions to mail@wired.com. Write ASK LEVY in the subject line.\nEnd Times Chronicle\nThought it couldnt get more awful than Mountain Dew Flamin Hot soda? Try mustard-flavored Skittles candies, a gimmick for National Mustard Day in the US next week.\nLast but Not Least\nFuturama is back! But the first episode only made me laugh once (when a robot comedian called a room full of friends too PC). The shows all about critiquing our modern tech-centric world. Unfortunately, it seems to be picking on easy targets.\nThe EU is preparing a massive database of all content moderation decisions by social media companies and the reasoning behind them.\nThe hottest new data feed in tech? Combat data from Ukraine to train military AI software.\nVigilante justice: A person with impaired vision who was scammed out of a laptop teamed up with a friend to take on the fraudster. The evidence is now with the police.","isBasedOn":"https:\u002F\u002Fwww.wired.com\u002Fstory\u002Fplaintext-hands-on-with-google-searchs-answer-to-chatgpt","articleSection":"business","author":[{"@type":"Person","name":"Paresh Dave","sameAs":"https:\u002F\u002Fwww.wired.com\u002Fauthor\u002Fparesh-dave"}],"dateModified":"2023-07-28T09:00:00.000-04:00","datePublished":"2023-07-28T09:00:00.000-04:00","headline":"Hands On With Google Searchs Answer to ChatGPT","image":["https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F64c30dd30a3dc6f3e7e8b62f\u002F16:9\u002Fw_2400,h_1350,c_limit\u002FHands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg","https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F64c30dd30a3dc6f3e7e8b62f\u002F4:3\u002Fw_2400,h_1800,c_limit\u002FHands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg","https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F64c30dd30a3dc6f3e7e8b62f\u002F1:1\u002Fw_1800,h_1800,c_limit\u002FHands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg"],"keywords":["business","tech culture","plaintext","search","artificial intelligence","google","algorithms","machine learning","deep learning","bing","chatgpt","_syndication_noshow","_no-amp","paywall subscriber only content","textaboveleftsmall","web"],"thumbnailUrl":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F64c30dd30a3dc6f3e7e8b62f\u002F1:1\u002Fw_1800,h_1800,c_limit\u002FHands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg","url":"https:\u002F\u002Fwww.wired.com\u002Fstory\u002Fplaintext-hands-on-with-google-searchs-answer-to-chatgpt\u002F","isPartOf":{"@type":"CreativeWork","name":"WIRED"},"isAccessibleForFree":true,"alternativeHeadline":"Googles new AI-powered search engine can feel more like artificial interference than artificial intelligence.","description":"Googles new AI-powered search engine can feel more like artificial interference than artificial intelligence.","mainEntityOfPage":{"@type":"WebPage","@id":"https:\u002F\u002Fwww.wired.com\u002Fstory\u002Fplaintext-hands-on-with-google-searchs-answer-to-chatgpt\u002F"},"publisher":{"@context":"https:\u002F\u002Fschema.org","@type":"Organization","name":"WIRED","logo":{"@type":"ImageObject","url":"https:\u002F\u002Fwww.wired.com\u002Fverso\u002Fstatic\u002Fwired\u002Fassets\u002Flogo-seo.png","width":"500px","height":"100px"},"url":"https:\u002F\u002Fwww.wired.com"}},{"@context":"https:\u002F\u002Fschema.org\u002F","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Business","item":"https:\u002F\u002Fwww.wired.com\u002Fbusiness\u002F"},{"@type":"ListItem","position":2,"name":"Plaintext","item":"https:\u002F\u002Fwww.wired.com\u002Ftag\u002Fplaintext\u002F"},{"@type":"ListItem","position":3,"name":"Hands On With Google Searchs Answer to ChatGPT"}]}],"head.contentID":"64c1b0c5e416fd283a85c633","head.pageType":"article","head.photos":{"image-16-9":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F64c30dd30a3dc6f3e7e8b62f\u002F16:9\u002Fw_1000,c_limit\u002FHands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg","image-1-1":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F64c30dd30a3dc6f3e7e8b62f\u002F1:1\u002Fw_1000,c_limit\u002FHands-On-With-Googles-ChatGPT-Plaintext-Business-1281289353.jpg"},"head.firstPublishDate":"2023-07-28T13:00:00.000Z","head.primaryTagsRoot":"tags","head.hasSponsoredContent":false,"head.modifiedDate":"2023-07-28T13:00:00.000Z","linkBannerData":{"bannerType":"marquee","dek":"","hed":"","image":{},"links":[],"tracking":{"trackingIdentifier":"","attributes":{}}},"linkBannerId":[],"navigation":{"aboutText":"WIRED is where tomorrow is realized. 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(Naturally, I was sending a copy of ",["a",{"href":"https:\u002F\u002Farchive.wired.com\u002Ft\u002Fstorefront\u002Fstorefront","isExternal":false},"the latest issue of WIRED"],"!). Its the exact sort of question that I hoped ",["a",{"href":"https:\u002F\u002Fwww.wired.com\u002Fstory\u002Fgoogle-io-just-added-generative-ai-to-search\u002F","isExternal":false},"Google Searchs new generative AI feature"],", which Ive been testing for the past month, would solve much faster than I could through my own browsing."],["p",{"class":"paywall"},"Googles clunkily named Search Generative Experience, SGE for short, infuses its search box with ChatGPT-like conversational functionality. You can sign up at ",["a",{"href":"https:\u002F\u002Flabs.google.com\u002Fsearch\u002F","isExternal":false},"Googles Search Labs"],". The company says it wants users to converse with its search chatbot, which launched to testers in May, to dive deeper into topics and ask more challenging and intuitive questions than they would type into a boring old query box. And AI-generated answers are meant to organize information more clearly than a traditional search results page—for example, by pulling together information from multiple websites. Most of the worlds web searches run through Google, and its been developing AI technologies longer than most companies, so its fair to expect a top-notch experience."],["p",{"class":"paywall"},"So goes the theory. It turns out that in practice the new feature is so far more nuisance than aide. Its slow, ineffective, verbose, and cluttered—more artificial interference than intelligence."],["inline-embed",{"props":{"name":"pullquote","attrs":{},"childTypes":["pullquoteContent"]},"ref":"","type":"callout:pullquote"},["inline-embed",{"props":{},"type":"pullquoteContent"},["p",{"class":"paywall"},"The first thing I noticed about Googles vision for the future of search was its sluggishness."]]],["inline-embed",{"props":{"name":"inset-left","attrs":{},"childTypes":["callout:sidebar"]},"ref":"","type":"callout:inset-left"},["inline-embed",{"props":{"name":"sidebar","attrs":{},"childTypes":[]},"ref":"","type":"callout:sidebar"},["div",{"class":"paywall heading-h5","role":"heading","aria-level":"5"},"This is an edition of Steven Levy's ",["a",{"href":"https:\u002F\u002Fwww.wired.com\u002Fnewsletter\u002FPlaintext","isExternal":false},["em",["strong","Plaintext"]]]," newsletter. This week WIRED's ",["a",{"href":"https:\u002F\u002Fwww.wired.com\u002Fauthor\u002Fparesh-dave\u002F","isExternal":false},"Paresh Dave"]," is filling in."],["p",{"class":"paywall"},["a",{"href":"https:\u002F\u002Fwww.wired.com\u002Fnewsletter\u002FPlaintext","isExternal":false},["inline-embed",{"props":{"dangerousCaption":"","dangerousCredit":"","image":{"id":"5e39d9da3130b10008e82c43","altText":"Image may contain Advertisement Poster Brochure Paper Flyer and Text","contentType":"photo","sources":{"sm":{"width":640,"url":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5e39d9da3130b10008e82c43\u002Fmaster\u002Fw_640,c_limit\u002Fsteven_levy_plaintext.jpg","srcset":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5e39d9da3130b10008e82c43\u002Fmaster\u002Fw_120,c_limit\u002Fsteven_levy_plaintext.jpg 120w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5e39d9da3130b10008e82c43\u002Fmaster\u002Fw_240,c_limit\u002Fsteven_levy_plaintext.jpg 240w, 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Googles test, the search box looks unchanged. But in response to a query like “How many stamps to mail 8 ounce letter,” a new section takes up a good chunk of the screen, pushing down the conventional list of links. Within that area, Googles large language models generate a couple of paragraphs similar to what you might find from ChatGPT or ",["a",{"href":"https:\u002F\u002Fwww.wired.com\u002Fstory\u002Fmy-strange-day-with-bings-new-ai-chatbot\u002F","isExternal":false},"Microsofts Bing Chat"],". Buttons at the bottom lead to a chatbot interface where you can ask follow-up questions."],["inline-embed",{"type":"cneinterlude","props":{"brand":"wired","embeddedVideos":[],"hasExcludedEmbed":false,"interludeOverrideId":"645a873dfeaf551e66f9e30c","playerBase":"https:\u002F\u002Fplayer.cnevids.com","isTitleBelowVideo":true,"isTitleLeftAligned":true,"isRailEligible":true,"isRightRail":false,"relatedVideo":{"showRelatedVideo":true,"brand":"wired","related":null,"pageSize":8}}}],["p",{"class":"paywall"},"The first thing I noticed about Google's vision for the future of search was its sluggishness. In tests where I controlled a stopwatch app with one hand and submitted a query with the other, it sometimes took nearly six seconds for Googles text-generator to spit out its answer. The norm was more than three seconds, compared to no more than one second for Googles conventional results to appear. Things could have been worse: I did my tests after Google rolled out an update which it claims doubled the search bots speed last month. Yet I still often find myself deep into reading the regular results by the time the generative AI finishes up, meaning I end up ignoring its tardily submitted dissertations. Cathy Edwards, a Google Search vice president, tells me speed optimizations of the AI software underpinning the tool are ongoing."],["p",{"class":"paywall"},"One could excuse the slowness of this new form of search if the results were worthwhile. But accuracy is spotty. Googles five-sentence generative AI response to my stamps question included apparent errors of both multiplication and subtraction, stamp prices outdated by two years, and suggested follow-up questions that ignored crucial variables for shipping costs, such as shape, size, and destination. The disclaimer Google displays at the top of each AI-generated answer rang resoundingly true: “Generative AI is experimental. Info quality may vary.”"],["cm-unit"],["p",{"class":"paywall"},"In the same response, Googles new search feature suggested that I would need either $2.47 or $4 worth of stamps. Navigating to the US Postal Services online calculator provided the official answer: I needed $3.03, or five stamps at 66 cents each with a 27-cent overpayment. Googles Edwards says my humble query pushed the technologys current boundaries. “It's definitely on the frontier,” she says."],["native-ad",{"position":"in-content","shouldDisplayLabel":true}],["p",{"class":"paywall"},"Unfortunately, dumbing down didnt end well either. When asked for just the price of a stamp, Google responded with an outdated figure. Only specifying that I wanted the price as of this month got the system to correctly reflect this months 3-cent cost hike. To be fair, ChatGPT would flunk this query too because its training data cuts off in 2021—but it is not positioned as a replacement for a search engine."],["ad",{"position":"mid-content"}],["p",{"class":"paywall"},"Google's new search experience feels unreliable enough that Im better off just clicking through standard results to conduct my own research. A query about Star Wars video games developed by gamemaker Electronic Arts generated an accurate list except for the inclusion of one title from EA rival Ubisoft. Ironically, the generative-AI description of the game in the result mentioned it was made by Ubisoft, demonstrating how large language models can contradict themselves."],["p",{"class":"paywall"},"When asked about players whom the San Diego Padres—which surely will beat Stevens Phillies to a wild card spot—may try to acquire through a swap with another baseball team, Googles AI response started with two players currently at the Padres, confusing trade chips as trade targets."],["p",{"class":"paywall"},"Google has put in some protective measures. The new search experience does not display for some health or financial queries, for which Google has placed a higher bar for accuracy. And the experience almost always prominently features links to related resources on the web to help users corroborate the AI outputs. Results on queries like “Write a poem” have the disclaimer “You may see inaccurate creative content.” And the AI system generally wont try to sound too cute or adopt a persona. “We don't think people actually want to talk to Google,” Edwards says, drawing a contrast with ",["a",{"href":"https:\u002F\u002Fwww.wired.com\u002Fstory\u002Fhow-microsofts-bing-chatbot-came-to-be-and-where-its-going-next\u002F","isExternal":false},"Bing Chat"],", which is known to go into first-person speech or sprinkle emojis."],["inline-newsletter",{"newsletterType":"slim-newsletter","newsletters":[{"formName":"newsletter-subscribe","sourceCode":"slim-article-newsletter","provider":"sailthru","placeholder":"Enter your email","textFieldLabel":"Your email","buttonLabelOnSuccess":"","dangerousDisclaimer":"By signing up you agree to our \u003Ca href=\"https:\u002F\u002Fwww.condenast.com\u002Fuser-agreement\"\u003EUser Agreement\u003C\u002Fa\u003E (including the \u003Ca href=\"https:\u002F\u002Fwww.condenast.com\u002Fuser-agreement#introduction-arbitration-notice\"\u003E class action waiver and arbitration provisions\u003C\u002Fa\u003E), our \u003Ca href=\"https:\u002F\u002Fwww.condenast.com\u002Fprivacy-policy\"\u003EPrivacy Policy & Cookie Statement\u003C\u002Fa\u003E and to receive marketing and account-related emails from WIRED. You can unsubscribe at any time.","newsletterId":248870,"dangerousHed":"See Whats Next in Tech With the Fast Forward Newsletter","dangerousDek":"A weekly dispatch from the future by Will Knight, exploring AI advances and other technology set to change our lives. Delivered every Thursday.","dangerousSuccessDek":"","dangerousSuccessHed":"Thanks for signing up. Take a look at some of our other newsletters \u003Ca href=\"https:\u002F\u002Fwww.wired.com\u002Fnewsletter?sourceCode=slim-article-success-message\"\u003Ehere\u003C\u002Fa\u003E.","buttonLabel":"SUBMIT","loggedInSourceCode":"slim-article-toggle-newsletter","tags":["artificial intelligence","machine learning","content moderation","algorithms","Social Media","privacy","Facebook","Amazon","Antitrust","bitcoin","surveillance","deep learning","China"]},{"formName":"newsletter-subscribe","sourceCode":"slim-article-newsletter","provider":"sailthru","placeholder":"Enter your email","textFieldLabel":"Enter your e-mail address","buttonLabelOnSuccess":"","dangerousDisclaimer":"By signing up you agree to our \u003Ca href=\"https:\u002F\u002Fwww.condenast.com\u002Fuser-agreement\"\u003EUser Agreement\u003C\u002Fa\u003E (including the \u003Ca href=\"https:\u002F\u002Fwww.condenast.com\u002Fuser-agreement#introduction-arbitration-notice\"\u003E class action waiver and arbitration provisions\u003C\u002Fa\u003E), our \u003Ca href=\"https:\u002F\u002Fwww.condenast.com\u002Fprivacy-policy\"\u003EPrivacy Policy & Cookie Statement\u003C\u002Fa\u003E and to receive marketing and account-related emails from WIRED. You can unsubscribe at any time.","newsletterId":216,"dangerousHed":"WIRED Daily","dangerousDek":"Our biggest stories, delivered to your inbox every day.","dangerousSuccessDek":"","dangerousSuccessHed":"Thanks for signing up. Take a look at some of our other newsletters \u003Ca href=\"https:\u002F\u002Fwww.wired.com\u002Fnewsletter?sourceCode=slim-article-success-message\"\u003Ehere\u003C\u002Fa\u003E.","buttonLabel":"SUBMIT","loggedInSourceCode":"slim-article-toggle-newsletter"}]}],["p",{"class":"paywall"},"At times, Googles new vision for search can feel more like a step back than a leap into the future. The generated answers can duplicate other features on the results page, such as featured snippets that draw a clear and digestible answer from a website or knowledge boxes that provide a paragraph-length overview of a topic from Wikipedia. When it belatedly chimes in on results like those, the generative AI version tends to be the most wordy and trickiest to make sense of."],["p",{"class":"paywall"},"Edwards mentioned at least eight times in our 30-minute discussion about my experiences with the new feature that it is still early in its development with plenty of kinks to iron out. “I don't think you're gonna hear me say that we have nailed this,” she says. “We're at the beginning of a 10-year-long arc of transformation.” She also says the feedback to date has been “super positive,” but perhaps most importantly, she says that what Google eventually launches to all users “might look quite different to where we are today.”"],["p",{"class":"paywall"},"An experience that is speedier, less crammed with content, and able to help ship WIRED issues to readers without risking them getting returned for underpaid postage would be nice."],["inline-embed",{"props":{"dangerousCaption":"","dangerousCredit":"","image":{"id":"5de5558cb4ac1c00080cd4fb","altText":"Image may contain Label Text Symbol and Sign","contentType":"photo","sources":{"sm":{"width":640,"url":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558cb4ac1c00080cd4fb\u002Fmaster\u002Fw_640,c_limit\u002FDivider_Look%20Back.jpg","srcset":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558cb4ac1c00080cd4fb\u002Fmaster\u002Fw_120,c_limit\u002FDivider_Look%20Back.jpg 120w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558cb4ac1c00080cd4fb\u002Fmaster\u002Fw_240,c_limit\u002FDivider_Look%20Back.jpg 240w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558cb4ac1c00080cd4fb\u002Fmaster\u002Fw_320,c_limit\u002FDivider_Look%20Back.jpg 320w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558cb4ac1c00080cd4fb\u002Fmaster\u002Fw_640,c_limit\u002FDivider_Look%20Back.jpg 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https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558cb4ac1c00080cd4fb\u002Fmaster\u002Fw_1280,c_limit\u002FDivider_Look%20Back.jpg 1280w","height":76},"xxl":{"width":1600,"url":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558cb4ac1c00080cd4fb\u002Fmaster\u002Fw_1600,c_limit\u002FDivider_Look%20Back.jpg","srcset":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558cb4ac1c00080cd4fb\u002Fmaster\u002Fw_120,c_limit\u002FDivider_Look%20Back.jpg 120w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558cb4ac1c00080cd4fb\u002Fmaster\u002Fw_240,c_limit\u002FDivider_Look%20Back.jpg 240w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558cb4ac1c00080cd4fb\u002Fmaster\u002Fw_320,c_limit\u002FDivider_Look%20Back.jpg 320w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558cb4ac1c00080cd4fb\u002Fmaster\u002Fw_640,c_limit\u002FDivider_Look%20Back.jpg 640w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558cb4ac1c00080cd4fb\u002Fmaster\u002Fw_960,c_limit\u002FDivider_Look%20Back.jpg 960w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558cb4ac1c00080cd4fb\u002Fmaster\u002Fw_1280,c_limit\u002FDivider_Look%20Back.jpg 1280w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558cb4ac1c00080cd4fb\u002Fmaster\u002Fw_1600,c_limit\u002FDivider_Look%20Back.jpg 1600w","height":95}}}},"level":"block","ref":"5de5558cb4ac1c00080cd4fb","type":"image"}],["div",{"class":"paywall heading-h3","role":"heading","aria-level":"3"},"Time Travel"],["p",{"class":"paywall"},"Googles quest to pithily respond to users questions with direct answers began years ago. Back in 2016, then-WIRED writer Cade Metz wrote about ",["a",{"href":"https:\u002F\u002Fwww.wired.com\u002F2016\u002F11\u002Fgoogles-search-engine-can-now-answer-questions-human-help\u002F","isExternal":false},"how Google assembled about 100 linguistics PhDs"]," fluent in about two dozen languages to condense writing and annotate sentences to help train AI systems to understand how human language works. Google expected the team and the technology to grow for years to come."],["p",{"class":"paywall"},["em","These \"sentence compression algorithms\" just went live on the desktop incarnation of the search engine. They handle a task that's pretty simple for humans but has traditionally been quite difficult for machines. They show how deep learning is advancing the art of natural language understanding, the ability to understand and respond to natural human speech. \"You need to use neural networks—or at least that is the only way we have found to do it,\" Google research product manager David Orr says of the company's sentence compression work."]],["ad",{"position":"mid-content"}],["p",{"class":"paywall"},["em","Google trains these neural networks using data handcrafted by a massive team of PhD linguists it calls Pygmalion. In effect, Google's machines learn how to extract relevant answers from long strings of text by watching humans do it—over and over again. These painstaking efforts show both the power and the limitations of deep learning. To train artificially intelligent systems like this, you need lots and lots of data that's been sifted by human intelligence. That kind of data doesn't come easy—or cheap. And the need for it isn't going away anytime soon."]],["p",{"class":"paywall"},"But just a year later, ",["a",{"href":"https:\u002F\u002Fai.googleblog.com\u002F2017\u002F08\u002Ftransformer-novel-neural-network.html","isExternal":false},"Google researchers devised a new approach"]," to training AI that made much of that prep unnecessary and led to ",["a",{"href":"https:\u002F\u002Fwww.wired.com\u002Fstory\u002Fgoogle-search-advancing-grade-reading\u002F","isExternal":false},"the large language models"]," that underlie services such as ChatGPT and the new Google Search. Looking back, I wouldnt mind the crisp Google Search answer snippets of years past."],["inline-embed",{"props":{"dangerousCaption":"","dangerousCredit":"","image":{"id":"5de5558c6432df0008d00461","altText":"Image may contain Symbol","contentType":"photo","sources":{"sm":{"width":640,"url":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558c6432df0008d00461\u002Fmaster\u002Fw_640,c_limit\u002FDivider_Questions.jpg","srcset":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558c6432df0008d00461\u002Fmaster\u002Fw_120,c_limit\u002FDivider_Questions.jpg 120w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558c6432df0008d00461\u002Fmaster\u002Fw_240,c_limit\u002FDivider_Questions.jpg 240w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558c6432df0008d00461\u002Fmaster\u002Fw_320,c_limit\u002FDivider_Questions.jpg 320w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558c6432df0008d00461\u002Fmaster\u002Fw_640,c_limit\u002FDivider_Questions.jpg 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After reading your question, I tried generating images of “hand with a ring tattoo of setting sun” in ",["a",{"href":"https:\u002F\u002Fstablediffusionweb.com\u002F#demo","attributes":{"data-offer-url":"https:\u002F\u002Fstablediffusionweb.com\u002F#demo"},"isExternal":true},"a demo version"]," of the AI tool Stable Diffusion. The batch of four results I got back featured disjointed, wobbly fingers and hands with missing digits, unnaturally slender wrists, or giant knuckles. In contrast, the query “face with cheek tattoo of setting sun” did result in some wild images, but at least the faces looked realistic."],["inline-embed",{"props":{"dangerousCaption":"\u003Cp\u003EAI generated image.\u003C\u002Fp\u003E\n","dangerousCredit":"Stable Diffusion via Paresh Dave","image":{"id":"64c30dcf82d37ced55dff7a1","altText":"AI generated image of a hand with a sun and landscape tattooed on the knuckles","contentType":"photo","sources":{"sm":{"width":640,"url":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F64c30dcf82d37ced55dff7a1\u002Fmaster\u002Fw_640,c_limit\u002Fstable-diffusion-xl-hand-sample-Plaintext-Business.jpg","srcset":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F64c30dcf82d37ced55dff7a1\u002Fmaster\u002Fw_120,c_limit\u002Fstable-diffusion-xl-hand-sample-Plaintext-Business.jpg 120w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F64c30dcf82d37ced55dff7a1\u002Fmaster\u002Fw_240,c_limit\u002Fstable-diffusion-xl-hand-sample-Plaintext-Business.jpg 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https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F64c30dcf82d37ced55dff7a1\u002Fmaster\u002Fw_960,c_limit\u002Fstable-diffusion-xl-hand-sample-Plaintext-Business.jpg 960w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F64c30dcf82d37ced55dff7a1\u002Fmaster\u002Fw_1280,c_limit\u002Fstable-diffusion-xl-hand-sample-Plaintext-Business.jpg 1280w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F64c30dcf82d37ced55dff7a1\u002Fmaster\u002Fw_1600,c_limit\u002Fstable-diffusion-xl-hand-sample-Plaintext-Business.jpg 1600w","height":1600}}}},"level":"block","ref":"64c30dcf82d37ced55dff7a1","type":"image"}],["ad",{"position":"mid-content"}],["p",{"class":"paywall"},"Pranav Dixit did ",["a",{"href":"https:\u002F\u002Fwww.buzzfeednews.com\u002Farticle\u002Fpranavdixit\u002Fai-generated-art-hands-fingers-messed-up","isExternal":false},"a deep dive for BuzzFeed News"]," (RIP) earlier this year into the history of hands in art, and wrote that the fact that peoples hands are often busy—holding cups, for instance—can explain why AI systems struggle to recreate them realistically. ",["a",{"href":"https:\u002F\u002Fwww.newyorker.com\u002Fculture\u002Frabbit-holes\u002Fthe-uncanny-failures-of-ai-generated-hands","isExternal":false},["em","The New Yorker"]],"s Kyle Chayka also looked at the issue, pointing out that making more precise commands to AI image generators about what hands should be doing can help."],["p",{"class":"paywall"},"As you say, Jennifer, throwing better or more diverse data at AI systems should often result in more accurate outcomes. Some users spotted modest improvements in output of hands in “v5” of Midjourneys AI generator earlier this year. But Midjourney CEO David Holz tells me by email that the company “didn't do anything specific for hands. Our stuff just works better in v5.”"],["p",{"class":"paywall"},"On the other hand, Stable Diffusions developer Stability AI did work specifically on the hands problem while developing its ",["a",{"href":"https:\u002F\u002Fstability.ai\u002Fblog\u002Fstable-diffusion-sdxl-1-announcement","attributes":{"data-offer-url":"https:\u002F\u002Fstability.ai\u002Fblog\u002Fstable-diffusion-sdxl-1-announcement"},"isExternal":true},"newest version"],", which was released this week. Joe Penna, Stabilitys head of applied machine learning, says poorly-generated hands was the top complaint from users. When I ",["a",{"href":"https:\u002F\u002Fclipdrop.co\u002Fstable-diffusion?output=true","attributes":{"data-offer-url":"https:\u002F\u002Fclipdrop.co\u002Fstable-diffusion?output=true"},"isExternal":true},"tried the new model"]," with my hand-tattoo query, two images turned out well while the other two lacked some knuckles."],["inline-embed",{"props":{"dangerousCaption":"\u003Cp\u003EAI generated image.\u003C\u002Fp\u003E\n","dangerousCredit":"Stable Diffusion via Paresh Dave","image":{"id":"64c30dcfeb3f06fa8140d1d4","altText":"AI generated image of a hand with a sun and landscape tattooed on the knuckles the hand is missing two 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The company also gave it additional training on images of people and artwork, to reflect what users are most interested in. Now, says Penna, “it's remembering things like hands a lot more.”"],["p",{"class":"paywall"},"Inserting millions of additional images of hands to the training data actually worsened generated images of hands, making them oversize, Penna says, but he says the company is testing different tactics to drive further improvement."],["ad",{"position":"mid-content"}],["p",{"class":"paywall"},"Before speaking to Penna, I hypothesized AI developers may want to avoid achieving perfection because imperfect hands are a common way to spot deepfakes. Penna says that wasnt the case, but that Stability took other steps to make sure its obvious when images have been generated with its technology. \"We're not going to go back to building worse hands, so let's start being very careful with the images that we see on the internet,” he says."],["p",{"class":"paywall"},"With bone structure fails starting to get settled, maybe next the companies can take on the fact that all 12 images I generated from my test prompts depicted fair-skin hands? Ill leave explaining that to Steven in a future Plaintext."],["p",{"class":"paywall"},["em","You can submit questions to"]," ",["a",{"href":"mailto:mail@wired.com?subject=ASK%20LEVY","isExternal":false},["em","mail@wired.com"]],["em",". Write ",["strong","ASK LEVY"]," in the subject line."]],["inline-embed",{"props":{"dangerousCaption":"","dangerousCredit":"","image":{"id":"5de5558bc35f8f0009b85432","altText":"Hands On With Google Searchs Answer to ChatGPT","contentType":"photo","sources":{"sm":{"width":640,"url":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_640,c_limit\u002FDivider_Links.jpg","srcset":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_120,c_limit\u002FDivider_Links.jpg 120w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_240,c_limit\u002FDivider_Links.jpg 240w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_320,c_limit\u002FDivider_Links.jpg 320w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_640,c_limit\u002FDivider_Links.jpg 640w","height":38},"md":{"width":768,"url":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_768,c_limit\u002FDivider_Links.jpg","srcset":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_120,c_limit\u002FDivider_Links.jpg 120w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_240,c_limit\u002FDivider_Links.jpg 240w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_320,c_limit\u002FDivider_Links.jpg 320w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_640,c_limit\u002FDivider_Links.jpg 640w","height":45},"lg":{"width":1024,"url":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_1024,c_limit\u002FDivider_Links.jpg","srcset":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_120,c_limit\u002FDivider_Links.jpg 120w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_240,c_limit\u002FDivider_Links.jpg 240w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_320,c_limit\u002FDivider_Links.jpg 320w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_640,c_limit\u002FDivider_Links.jpg 640w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_960,c_limit\u002FDivider_Links.jpg 960w","height":61},"xl":{"width":1280,"url":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_1280,c_limit\u002FDivider_Links.jpg","srcset":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_120,c_limit\u002FDivider_Links.jpg 120w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_240,c_limit\u002FDivider_Links.jpg 240w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_320,c_limit\u002FDivider_Links.jpg 320w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_640,c_limit\u002FDivider_Links.jpg 640w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_960,c_limit\u002FDivider_Links.jpg 960w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_1280,c_limit\u002FDivider_Links.jpg 1280w","height":76},"xxl":{"width":1600,"url":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_1600,c_limit\u002FDivider_Links.jpg","srcset":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_120,c_limit\u002FDivider_Links.jpg 120w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_240,c_limit\u002FDivider_Links.jpg 240w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_320,c_limit\u002FDivider_Links.jpg 320w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_640,c_limit\u002FDivider_Links.jpg 640w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_960,c_limit\u002FDivider_Links.jpg 960w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_1280,c_limit\u002FDivider_Links.jpg 1280w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558bc35f8f0009b85432\u002Fmaster\u002Fw_1600,c_limit\u002FDivider_Links.jpg 1600w","height":95}}}},"level":"block","ref":"5de5558bc35f8f0009b85432","type":"image"}],["div",{"class":"paywall heading-h3","role":"heading","aria-level":"3"},"End Times Chronicle"],["p",{"class":"paywall"},"Thought it couldnt get more awful than Mountain Dew Flamin Hot soda? Try ",["a",{"href":"https:\u002F\u002Fwww.prnewswire.com\u002Fnews-releases\u002Ffrenchs-announces-limited-edition-mustard-skittles-301884525.html","isExternal":false},"mustard-flavored Skittles"]," candies, a gimmick for National Mustard Day in the US next week."],["inline-embed",{"props":{"dangerousCaption":"","dangerousCredit":"","image":{"id":"5de5558cb4ac1c00080cd4fb","altText":"Image may contain Label Text Symbol and Sign","contentType":"photo","sources":{"sm":{"width":640,"url":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558cb4ac1c00080cd4fb\u002Fmaster\u002Fw_640,c_limit\u002FDivider_Look%20Back.jpg","srcset":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558cb4ac1c00080cd4fb\u002Fmaster\u002Fw_120,c_limit\u002FDivider_Look%20Back.jpg 120w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558cb4ac1c00080cd4fb\u002Fmaster\u002Fw_240,c_limit\u002FDivider_Look%20Back.jpg 240w, 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But the first episode only made me laugh once (when a robot comedian called a room full of friends too PC). The shows all about critiquing our modern tech-centric world. Unfortunately, it seems to be picking on easy targets."],["p",{"class":"paywall"},["a",{"href":"https:\u002F\u002Fwww.wired.com\u002Fstory\u002Fits-getting-harder-for-the-government-to-secretly-flag-your-social-posts\u002F","isExternal":false},"The EU is preparing a massive database"]," of all content moderation decisions by social media companies and the reasoning behind them."],["ad",{"position":"mid-content"}],["p",{"class":"paywall"},"The hottest new data feed in tech? ",["a",{"href":"https:\u002F\u002Fwww.wired.com\u002Fstory\u002Fukraine-government-battlefield-data\u002F","isExternal":false},"Combat data from Ukraine"]," to train military AI software."],["p",{"class":"paywall"},["a",{"href":"https:\u002F\u002Fwww.wired.com\u002Fstory\u002Ftwitter-laptop-scam-hunters\u002F","isExternal":false},"Vigilante justice"],": A person with impaired vision who was scammed out of a laptop teamed up with a friend to take on the fraudster. The evidence is now with the police."],["inline-embed",{"props":{"dangerousCaption":"","dangerousCredit":"","image":{"id":"5de5558c453df400086ddd63","altText":"Image may contain Logo Symbol Trademark Text and Label","contentType":"photo","sources":{"sm":{"width":640,"url":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558c453df400086ddd63\u002Fmaster\u002Fw_640,c_limit\u002FDivider_Big%20Moments.jpg","srcset":"https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558c453df400086ddd63\u002Fmaster\u002Fw_120,c_limit\u002FDivider_Big%20Moments.jpg 120w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558c453df400086ddd63\u002Fmaster\u002Fw_240,c_limit\u002FDivider_Big%20Moments.jpg 240w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558c453df400086ddd63\u002Fmaster\u002Fw_320,c_limit\u002FDivider_Big%20Moments.jpg 320w, https:\u002F\u002Fmedia.wired.com\u002Fphotos\u002F5de5558c453df400086ddd63\u002Fmaster\u002Fw_640,c_limit\u002FDivider_Big%20Moments.jpg 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c=a.map((e=>e(...i)));return any(c,r)?Promise.all(c).then(o):o(c)}}const validSizes=["300x250","300x600","320x50","300x50","728x90","970x250"];function clearTargetingByKey(e,t){e.getTargetingKeys().forEach((n=>{n===t&&e.clearTargeting(n)}))}function clearTargetingByPrefix(e,t){e.getTargetingKeys().forEach((n=>{0===n.indexOf(t)&&e.clearTargeting(n)}))}function intersect(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:[];return e.filter((e=>t.indexOf(e)>-1))}function getSizesFromSlot$1(e){return e.getSizes(window.innerWidth,window.innerHeight).map((e=>"fluid"!==e&&`${e.getWidth()}x${e.getHeight()}`))}function getValidSizesFromSlot(e,t){return intersect(getSizesFromSlot$1(e),t)}function hasValidSize(e,t){return e.getSizes&&getValidSizesFromSlot(e,t).length>0}function isSlotEligible(e){return hasValidSize(e,validSizes)}const errorMessage$1="Ads -- Missing page context",errorParamMessage=`${errorMessage$1} parameter : `,requiredKeys=["templateType"],expectedKeys=["channel","server"];function validate(e){requiredKeys.forEach((t=>{!e.templateType&&error$1(`${errorParamMessage}${t}`)})),expectedKeys.forEach((t=>{!e[t]&&warn(`${errorParamMessage}${t}`)}))}function getPageContext(e){let t=e.cns&&e.cns.pageContext;return t?(t.templateType=t.templateType||t.template_type,t.subChannel=t.subChannel||t.sub_channel,validate(t),t):(error$1(errorMessage$1),{})}function getCookie(e,t){const n=(t=t||document.cookie).split(";"),r=RegExp("^\\s*"+e+"=\\s*(.*?)\\s*$");for(let e=0;e<n.length;e++){const t=n[e].match(r);if(t)return t[1]}}const euCountryCodes=["AT","BE","BG","CY","CZ","DE","DK","EE","ES","FI","FR","GB","GR","HR","HU","IE","IS","IT","LI","LT","LU","LV","MT","NL","NO","PL","PT","RO","SE","SI","SK"];var version="6.71.1";function domCall(e,t,n){return n||(n=e,e=document),e[t](n)}function getElementById(e,t){return domCall(e,"getElementById",t)}function find(e,t){return domCall(e,"querySelector",t)}function findAll(e,t){return Array.prototype.slice.call(domCall(e,"querySelectorAll",t))}function setStyle(e,t){let n=Object.keys(t);for(let r=0;r<n.length;r++){const o=n[r];e.style[o]=t[o]}}function addClasses(e,t){const n=Object.keys(t);for(let r=0;r<n.length;r++)e.classList.add(t[n[r]])}function setElementData(e,t){const n=Object.keys(t);for(let r=0;r<n.length;r++){const o=n[r];e.setAttribute("data-"+o,t[o])}}function createElement(e,t){const n=document.createElement(e);return t&&Object.keys(t).forEach((e=>{n[e]=t[e]})),n}function addBoomerangVariable(e,t){e&&t&&(window.BOOMR_mq=window.BOOMR_mq||[],window.BOOMR_mq.push(["addVar",e,t]))}function sendBoomerangAdLibraryInformation(){addBoomerangVariable("cnsLib",version)}function setPubadsReadyMetric(){performance.mark("GPT-Init")}function setAdsReadyMetric(){performance.mark("ATP-Init")}function setFirstImpressionMetric(){performance.mark("ATP-First-Impression"),performance.measure("ATP-Init-To-First-Impression","ATP-Init","ATP-First-Impression")}function setFirstMoneyImpressionMetric(){performance.mark("ATP-First-Money-Impression"),performance.measure("ATP-Init-To-First-Money-Impression","ATP-Init","ATP-First-Money-Impression")}function setFirstViewableMetric(){performance.mark("ATP-First-Viewable-Impression"),performance.measure("ATP-Init-To-Viewable-Impression","ATP-Init","ATP-First-Viewable-Impression")}function setFirstNativeRequestedMetric(){performance.mark("ATP-First-Native-Request"),performance.measure("ATP-Init-To-Native-Request","ATP-Init","ATP-First-Native-Request")}function setFirstNativeResponseReceivedMetric(){performance.mark("ATP-First-Native-Response-Received"),performance.measure("ATP-Init-To-Native-Response-Received","ATP-Init","ATP-First-Native-Response-Received")}function setFirstNativeRenderEndedMetric(){performance.mark("ATP-First-Native-Render-Ended"),performance.measure("ATP-Init-To-Native-Render-Ended","ATP-Init","ATP-First-Native-Render-Ended")}function setFirstNativeOnLoadMetric(){performance.mark("ATP-First-Native-On-Load"),performance.measure("ATP-Init-To-Native-On-Load","ATP-Init","ATP-First-Native-On-Load")}function setFirstNativeViewableMetric(){performance.mark("ATP-First-Native-Viewable-Impression"),performance.measure("ATP-Init-To-Native-Viewable-Impression","ATP-Init","ATP-First-Native-Viewable-Impression")}function setFirstMoneyViewableMetric(){performance.mark("ATP-First-Money-Viewable-Impression"),performance.measure("ATP-Init-To-Money-Viewable-Impression","ATP-Init","ATP-First-Money-Viewable-Impression")}function setFirstPrebidAuction(){performance.mark("ATP-First-Prebid-Auction"),performance.measure("ATP-Init-To-First-Prebid-Auction","ATP-Init","ATP-First-Prebid-Auction")}function setFirstA9Auction(){performance.mark("ATP-First-A9-Auction"),performance.measure("ATP-Init-To-First-A9-Auction","ATP-Init","ATP-First-A9-Auction")}function setAmazonLoad(){performance.mark("ATP-Amazon-Load"),performance.measure("ATP-Init-To-Amazon-Load","ATP-Init","ATP-Amazon-Load")}function setFirstOnLoad(){performance.mark("ATP-First-On-Load"),performance.measure("ATP-Init-To-First-On-Load","ATP-Init","ATP-First-On-Load")}function setFirstMoneyOnLoad(){performance.mark("ATP-First-Money-On-Load"),performance.measure("ATP-Init-To-First-Money-On-Load","ATP-Init","ATP-First-Money-On-Load")}function setFirstRenderEndedMetric(){performance.mark("ATP-First-Render-Ended"),performance.measure("ATP-Init-To-First-Render-Ended","ATP-Init","ATP-First-Render-Ended")}function setFirstMoneyRenderEndedMetric(){performance.mark("ATP-First-Money-Render-Ended"),performance.measure("ATP-Init-To-First-Money-Render-Ended","ATP-Init","ATP-First-Money-Render-Ended")}function setFirstRequestedMetric(){performance.mark("ATP-First-Request"),performance.measure("ATP-Init-To-First-Request","ATP-Init","ATP-First-Request")}function setFirstMoneyRequestedMetric(){performance.mark("ATP-First-Money-Request"),performance.measure("ATP-Init-To-First-Money-Request","ATP-Init","ATP-First-Money-Request")}function setFirstResponseReceivedMetric(){performance.mark("ATP-First-Response-Received"),performance.measure("ATP-Init-To-First-Response-Received","ATP-Init","ATP-First-Response-Received")}function setFirstMoneyResponseReceivedMetric(){performance.mark("ATP-First-Money-Response-Received"),performance.measure("ATP-Init-To-First-Money-Response-Received","ATP-Init","ATP-First-Money-Response-Received")}function setMoatLoad(){performance.mark("ATP-Moat-Load")}function setPrebidLoad(){performance.mark("ATP-Prebid-Load"),performance.measure("ATP-Init-To-Prebid-Load","ATP-Init","ATP-Prebid-Load")}function setConsentRequested(){performance.mark("ATP-Consent-Requested"),performance.measure("ATP-Init-To-Consent-Requested","ATP-Init","ATP-Consent-Requested")}function setConsentChosen(){performance.mark("ATP-Consent-Chosen"),performance.measure("ATP-Init-To-Consent-Chosen","ATP-Init","ATP-Consent-Chosen")}function setPermutiveLoad(){window.performance.mark("ATP-Permutive-Loaded"),window.performance.measure("ATP-Init-To-Permutive-Loaded","ATP-Init","ATP-Permutive-Loaded")}const events={adsReady:setAdsReadyMetric,amazonLoad:setAmazonLoad,pubadsReady:setPubadsReadyMetric,firstRequested:setFirstRequestedMetric,firstMoneyRequested:setFirstMoneyRequestedMetric,firstImpression:setFirstImpressionMetric,firstMoneyImpression:setFirstMoneyImpressionMetric,firstImpressionViewable:setFirstViewableMetric,firstMoneyImpressionViewable:setFirstMoneyViewableMetric,firstPrebidAuction:setFirstPrebidAuction,firstA9Auction:setFirstA9Auction,firstOnload:setFirstOnLoad,firstMoneyOnload:setFirstMoneyOnLoad,firstRenderEnded:setFirstRenderEndedMetric,firstMoneyRenderEnded:setFirstMoneyRenderEndedMetric,firstResponseReceived:setFirstResponseReceivedMetric,firstMoneyResponseReceived:setFirstMoneyResponseReceivedMetric,firstNativeRequested:setFirstNativeRequestedMetric,firstNativeResponseReceived:setFirstNativeResponseReceivedMetric,firstNativeRenderEnded:setFirstNativeRenderEndedMetric,firstNativeOnload:setFirstNativeOnLoadMetric,firstNativeImpressionViewable:setFirstNativeViewableMetric,moatLoad:setMoatLoad,permutiveLoad:setPermutiveLoad,prebidLoad:setPrebidLoad,consentRequested:setConsentRequested,consentChosen:setConsentChosen};function updateBOOMRvarWithAdEventValues(e,t){setTimeout((()=>{const n=find(document,"#hero_0 iframe");addBoomerangVariable("ad.hero_size_rendered",t),addBoomerangVariable("ad.hero_creative_id",e.creativeId),addBoomerangVariable("ad.hero_line_id",e.lineItemId),addBoomerangVariable("ad.hero_campaign_id",e.campaignId),addBoomerangVariable("ad.hero_height",null==n?void 0:n.clientHeight),addBoomerangVariable("ad.hero_width",null==n?void 0:n.clientWidth)}),2e3)}function emitBoomPixel(e){events[e]?events[e]():error$1("boomerang-rum-collector.eventNotDefined")}function isEU(){const e=getCookie("CN_geo_country_code")||"";return!!(e&&euCountryCodes.indexOf(e)>-1)}function shouldApplyGDPR(){let e=!1;return window.__tcfapi&&window.__tcfapi("ping",2,(t=>{t.gdprApplies&&(e=!0)})),e}function isTCFLoaded(){let e=!1;return window.__tcfapi&&window.__tcfapi("ping",2,(t=>{t.cmpLoaded&&(e=!0)})),e}function shouldWaitForConsent(){const e=getConfig$1(window).config.consentRequired;return void 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0!==arguments[1]?arguments[1]:0;const n=cumulativeArgumentDebounce((t=>{const n=[],r=[],o=[],i=e=>o.forEach((t=>t(e)));t.forEach((e=>{r.push(e[0]),o.push(e[1]),n.push(e[2])})),e(n).then((e=>e?e.length!==n.length?i(new Error("collectPromises: Number of results must equal number of original items")):e.forEach(((e,t)=>r[t](e))):r.forEach((e=>e())))).catch(i)}),t);return e=>new Promise(((t,r)=>n((e=>{t(e)}),r,e)))}function isHostWhitelisted(e){const t=get$1(e,"config.domain");return window.location.host.indexOf(t)>-1}function areAuctionsEnabled(e){return!!isHostWhitelisted(e)&&(!!hasConsentToAuction()&&!featureFlags.ads_disable_auctions)}function createSlotAuctionEligible(e){return t=>{let n=t.slotDefinition,r=t.slot;const o=get$1(window,"cns.flags.shouldNotAuction"),i=e.market;return!("prebid"===i&&!get$1(window,"pbjs.libLoaded"))&&(!("a9"===i&&!window.apstagLOADED)&&(!o&&!n.isOutOfPage&&e.isSlotEligible(r)))}}function createStartAuction(e){return collectPromises((t=>e.startAuction(t.map((e=>e.slot)))))}var auctioneer={areAuctionsEnabled:areAuctionsEnabled,createSlotAuctionEligible:createSlotAuctionEligible,createStartAuction:createStartAuction};const cookieCacheName="cn_4dsgcache";function gather4dValues(e,t){const n=(get$1(window,e)||[]).map((e=>e[t]));return n.length&&n||""}function get4Dsg(e){let t=[],n="0";if(e){t=e;const n=new Date;n.setTime(n.getTime()+6048e5),document.cookie=`${cookieCacheName}=${t.join(":")}; expires=${n.toGMTString()}; path=/;SameSite=Lax;Secure`}else{const e=getCookie(cookieCacheName);e&&(t=e.split(":"),n="1")}return{sgData:t,isCached:n}}function get4DTargeting(){const 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o={fb:"facebook.com",tw:"t.co",rd:"reddit.com",pn:"pinterest.com",ig:"instagram.com",glp:"plus.url.google.com",tbl:"t.umblr.com",qq:"qzone.qq.com",we:"weibo.com",hb:"habbo.com",vk:"vk.com",rr:"renren.com",or:"orkut.google.com",sn:"snapchat.com"};return Object.keys(o).forEach((t=>{const i=o[t];e.includes(i)&&(n=t,r=t,sessionStorage.setItem("ctx_ses_soc",t))})),{ctx_ses_soc:r,ctx_ref_soc:n,ctx_ref_url:t}}var crc32={},exports,factory;
/*! crc32.js (C) 2014-present SheetJS -- http://sheetjs.com */function generateEva(e){if(!e)return 100;try{const t=crc32.str(e);return Math.abs(t%100)+1}catch(e){return 100}}function findOrCreateEva(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};const n=t.storage.getItem("usr_bkt_eva"),r=generateEva(e).toString();return n!==r&&t.storage.setItem("usr_bkt_eva",r),parseInt(r,10)}function isStorageEnabled(){try{return window.localStorage.setItem("testKey","1"),window.localStorage.removeItem("testKey"),!0}catch(e){return!1}}function checkDate(e,t){return t>e}function trimDate(e,t){if(!e)return[];return e.toString().split(",").filter((e=>{const n=parseInt(e,10);return checkDate(t,n)}))}function timeTravel(e,t){const n=new Date(e).getDate()-t;return new Date(e).setDate(n)}function getSessionData(){const e=(new Date).getTime(),t=timeTravel(e,1),n=timeTravel(e,30),r=parseInt(sessionStorage.getItem("session-visits"),10)||0;sessionStorage.setItem("session-visits",(r+1).toString());const o=sessionStorage.getItem("session-visits");let i=localStorage.getItem("session-visit-dates");const s=localStorage.getItem("total-visits");r||(i=i?`${i},${e}`:e);const a=s?`${s},${e}`:e,c=trimDate(a,t),l=trimDate(a,n),d=trimDate(i,n);return localStorage.setItem("total-visits",l.join(",")),localStorage.setItem("session-visit-dates",d.join(",")),{usr_pvc_bs:o,usr_pvc_24hr:c.length,usr_pvc_30d:l.length,usr_svc_30d:d.length}}function getUserBuckets(){let e=sessionStorage.getItem("usr_bkt_ses");const t=findOrCreateEva(getCookie("CN_xid"),{storage:localStorage});return e||(e=Math.floor(100*Math.random())+1,sessionStorage.setItem("usr_bkt_ses",e)),{usr_bkt_eva:t,usr_bkt_ses:e,usr_bkt_pv:Math.floor(100*Math.random())+1}}function getMediaBuy(){return{mbid:(parse(document.location.search)||{}).mbid}}function getUserAuth(){let e=["false"];return(getCookie("CN_userAuth")||getCookie("CN_token_id"))&&(e=["true","authenticated"]),(getCookie("pay_ent_sub")||getCookie("pay_ent_pass"))&&(e=["true","entitled"]),{usr_auth:e}}let userData;function resetUserData(){userData=!1}function getUserGid(){let e;const t=getCookie("_ga");return new RegExp(/^GA1.2./).test(t)&&(e=t.split("GA1.2.")[1]),{usr_gid:e}}function getUserDataPageTargeting(){if(!isStorageEnabled())return{};if(userData)return userData;const e=document.referrer;return userData=_objectSpread2(_objectSpread2(_objectSpread2(_objectSpread2(_objectSpread2(_objectSpread2({},getUserBuckets()),getSessionData()),getReferrer(e)),getMediaBuy()),getUserAuth()),getUserGid()),userData}exports=crc32,factory=function(e){e.version="1.2.2";var t=function(){for(var e=0,t=new 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t=e.slotTypeDefinition;return{"feature-flags":[isStickyEligible(t)]}},getGeoTargeting=()=>{const e=getCookie("CN_geo_country_code");return e?{fastly_geo:e}:{}};function createUniqueUserId(){return"xxxxxxxxxx".replace(/[x]/g,(e=>{const t=10*Math.random()|0;return("x"==e?t:3&t|8).toString(10)}))}const runtimeId=createUniqueUserId();var runtimeId$1={runtimeId:runtimeId};function getPageViewTargeting(){const e=get$1(window,"cns.runtimeId")||"";let t="";return window.snowplowQueue.push((()=>{window.snowplowCN((function(){const e=this.sp;t=e.getPageViewId()}))})),{pageview_id:e,sp_pageview_id:t}}function AdobeAudienceManager(){function e(e,t){const n=t[0],r=t[1],o="vnd_aam_"+n.toLowerCase(),i=e[o]||[];return i.push(r),e[o]=i,e}this.getTargeting=function(){const t=getCookie("aamconde"),n=getCookie("aam_uuid"),r=t&&function(t){return decodeURIComponent(t).split(";").map((e=>e.split("="))).reduce(e,{})}(t);return _objectSpread2(_objectSpread2({},n&&{vnd_aam_uuid:[decodeURIComponent(n)]}),r)}}function Proximic(){let e={vnd_prx_segments:[]};const t=`https://segment-data.zqtk.net/condenast-amp?url=${encodeURIComponent(window.location.href)}`,n=new EventEmitter("Proximic").warn,r=new XMLHttpRequest;r.addEventListener("load",(function(){if(200===this.status){const t=JSON.parse(this.response);e=t&&t.targeting}else n("serverError",this.status)})),r.open("GET",t),r.send(),this.getTargeting=function(){return e}}window.snowplowQueue=window.snowplowQueue||[];const v6ToBlueprintKeys=new Map([["ctx_page_channel","channel"],["cnt_copilotid","content_id"],["ctx_page_slug","page_slug"],["cnt_platform","platform"],["ctx_slot_instance","slot_instance"],["pos","slot_position"],["ctx_slot_rn","slot_refresh"],["ctx_page_sub_channel","subchannel"],["cnt_tags","tags"],["ctx_template","template_name"]]),getTargetingKeyTranslator=e=>e?e=>v6ToBlueprintKeys.has(e)?v6ToBlueprintKeys.get(e):e:e=>e,getTargetingObjectTranslator=e=>t=>{const n=getTargetingKeyTranslator(e);return Object.keys(t).reduce(((e,r)=>(e[n(r)]=t[r],e)),{})};function getMetrics(){const e=get$1(window,"cns.pageContext.content.ratio")||"";if(e){return{cn_metrics:e>=200?"cmr_high":"cmr_low"}}return{}}function isEmptyObject(e){for(const t in e)return!1;return!0}function truncateText(e,t){if(!e)return"";if(e.length>t){return e.substring(0,t)}return e}function concatBucketLabel(e){return`${truncateText(e.experimentLabel,126)}_${truncateText(e.bucketLabel,126)}`}function getLabels(e,t,n){const r=[];if(e.length>0&&e.forEach((e=>{e.bucketLabel&&("bucketLabel"===n?r.push(concatBucketLabel(e)):r.push(truncateText(e[n],254)))})),!isEmptyObject(t)){const e=get$1(t,"experimentLabel")||[];if(0===e.length)return r;e.forEach(((e,o)=>{"bucketLabel"===n?r.push(concatBucketLabel({experimentLabel:e,bucketLabel:t.bucketLabel[o]})):r.push(truncateText(e,254))}))}return r}function getExperiments(){const e=get$1(window,"cns.pageContext.experiments"),t=get$1(window,"experiments.assignments")||[];return isEmptyObject(e)&&0===t.length?{}:{experiments:getLabels(t,e,"experimentLabel"),buckets:getLabels(t,e,"bucketLabel")}}function getTargetingFromUrlParams(){return{bxid:queryParameters.bxid,esrc:queryParameters.esrc,cndid:queryParameters.cndid}}const social=[{key:"facebook",label:"facebook"},{key:"twitter",label:"twitter"},{key:"t.co/",label:"twitter"},{key:"instagram",label:"instagram"},{key:"pinterest",label:"pinterest"},{key:"reddit",label:"reddit"},{key:"tumblr",label:"tumblr"},{key:"linkedin",label:"linkedin"},{key:"snapchat",label:"snapchat"}],search=[{key:"www.google",label:"google"},{key:"yahoo.",label:"yahoo"},{key:"bing.",label:"bing"},{key:"duckduckgo.",label:"duckduckgo"}];function checkForDirect(e,t){if(t&&e===t.href)return"direct"}function checkForInternal(e,t){if(t&&e.host===t.host&&e.pathname!==t.pathname)return"internal"}function checkForEmail(){if(Object.keys(queryParameters).length&&"email"===queryParameters.utm_medium)return"email"}function checkForSocial(e){if(Object.keys(queryParameters).length&&"social"===queryParameters.utm_medium||e&&social.find((t=>e.href.includes(t.key))))return"social"}function checkForSearch(e){if(e&&search.find((t=>e.href.includes(t.key))))return"search"}function getTrafficSource(){let e;if(document.referrer)try{e=new URL(document.referrer)}catch(e){}return e||queryParameters.utm_medium?{traffic_source:checkForDirect(window.location.href,e)||checkForInternal(window.location,e)||checkForSocial(e)||checkForSearch(e)||checkForEmail()||"referral"}:{}}const setupIAS=()=>{const e=isPluginEnabled(getConfig$1(window),"ias"),t=(get$1(window,"cns.config.plugins.ias.params")||{}).id,n=void 0!==t&&t;e&&n&&(window.__iasPET={},window.__iasPET.queue=[],window.__iasPET.pubId=n,append({src:"//static.adsafeprotected.com/iasPET.1.js",targ:document.head,async:!0}).catch((e=>{})))};function IAS(){this.hasRunOnce={},this.shouldRunIas=e=>{const t=e.slot.getSlotElementId();return!this.hasRunOnce[t]},this.runIas=e=>{let t=e.slot;return new Promise((e=>{const n=t.getSlotElementId();this.hasRunOnce[n]=!0;const r=setTimeout((()=>{e({})}),1e3),o=t.getSizes().map((e=>e.getWidth&&e.getHeight?[e.getWidth(),e.getHeight()]:[1,1]));window.__iasPET.queue.push({adSlots:{adSlotId:n,size:o,adUnitPath:t.getAdUnitPath()},dataHandler:()=>{clearTimeout(r),window.__iasPET.setTargetingForGPT(),e({})}})})).catch((e=>{resolve({})}))}}function handleMoatYieldReady(){var e,t;window.cnBus.emit("ads.moat.yield-ready"),null===(e=window.moatPrebidApi)||void 0===e||null===(t=e.setMoatTargetingForAllSlots)||void 0===t||t.call(e)}function setupMoat(){get$1(getConfig$1(window),"plugins.moat.enabled")&&(window.moatYieldReady=handleMoatYieldReady,appendScript$1())}function appendScript$1(){if(document.querySelectorAll('script[src*="moatheader.js"]').length>0)return;append({async:!0,src:`https://z.moatads.com/${get$1(getConfig$1(window),"plugins.moat.params.id")}/moatheader.js`,targ:document.head}).then((()=>{emitBoomPixel("moatLoad")})).catch((e=>{(0,new EventEmitter("Moat").debug)("appendScript",{error:e})}))}function slotDataAvailable(){var e,t;return null===(e=window.moatPrebidApi)||void 0===e||null===(t=e.slotDataAvailable)||void 0===t?void 0:t.call(e)}function setMoatTargetingForSlot(e){let t=e.slot;var n,r;slotDataAvailable()&&(null===(n=window.moatPrebidApi)||void 0===n||null===(r=n.setMoatTargetingForSlot)||void 0===r||r.call(n,t));return{}}var moat={setMoatTargetingForSlot:setMoatTargetingForSlot,setupMoat:setupMoat},arrayBufferNative="undefined"!=typeof ArrayBuffer&&"undefined"!=typeof DataView,fails$1=fails$a,correctPrototypeGetter=!fails$1((function(){function e(){}return e.prototype.constructor=null,Object.getPrototypeOf(new e)!==e.prototype})),global$5=global$u,hasOwn$1=hasOwnProperty_1,isCallable$1=isCallable$e,toObject=toObject$2,sharedKey=sharedKey$2,CORRECT_PROTOTYPE_GETTER=correctPrototypeGetter,IE_PROTO=sharedKey("IE_PROTO"),Object$1=global$5.Object,ObjectPrototype$1=Object$1.prototype,objectGetPrototypeOf=CORRECT_PROTOTYPE_GETTER?Object$1.getPrototypeOf:function(e){var 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t=classof(e);return"DataView"===t||hasOwn(TypedArrayConstructorsList,t)||hasOwn(BigIntArrayConstructorsList,t)},isTypedArray=function(e){if(!isObject$1(e))return!1;var t=classof(e);return hasOwn(TypedArrayConstructorsList,t)||hasOwn(BigIntArrayConstructorsList,t)},aTypedArray$2=function(e){if(isTypedArray(e))return e;throw TypeError$1("Target is not a typed array")},aTypedArrayConstructor=function(e){if(isCallable(e)&&(!setPrototypeOf||isPrototypeOf(TypedArray,e)))return e;throw TypeError$1(tryToString(e)+" is not a typed array constructor")},exportTypedArrayMethod$2=function(e,t,n,r){if(DESCRIPTORS){if(n)for(var o in TypedArrayConstructorsList){var i=global$4[o];if(i&&hasOwn(i.prototype,e))try{delete i.prototype[e]}catch(n){try{i.prototype[e]=t}catch(e){}}}TypedArrayPrototype[e]&&!n||redefine(TypedArrayPrototype,e,n?t:NATIVE_ARRAY_BUFFER_VIEWS&&Int8ArrayPrototype$1[e]||t,r)}},exportTypedArrayStaticMethod=function(e,t,n){var r,o;if(DESCRIPTORS){if(setPrototypeOf){if(n)for(r in 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r=e.map((e=>e[n])).filter(Array.isArray);return r.length&&(t[n]=concatUniques(r)),t}),{})}const isRunningOnClient="undefined"!=typeof window;function isObject(e){return"object"==typeof e&&e.constructor===Object}function getRender(e){return pick(e,["desktop","tablet","mobile","constellation","slot"])}function stringToFunction(string){return eval("("+string+")")}function updateSlotBlock(e){e.when&&(e.when=isRunningOnClient&&stringToFunction(e.when)||e.when.toString()),e.in&&e.in.el&&e.in.when&&(e.in.when=isRunningOnClient&&stringToFunction(e.in.when)||e.in.when.toString())}function slotComplexRenderPreProcessor(e){Object.values(e||{}).forEach((e=>{isObject(e)&&e.every&&e.el&&updateSlotBlock(e)}))}function slotComplexRenderProcessor(e){e&&(e.slot?slotComplexRenderPreProcessor(e.slot):Object.values(e).forEach((e=>{slotComplexRenderPreProcessor(e.slot)})))}function mergePlugins(e,t){return Object.keys(t).reduce(((n,r)=>{const o=merge([{},e[r],t[r]],((e,t)=>{if(!1!==e&&!0===t)return e}));return o&&(n[r]=o),n}),{})}function mergeSlotTypeDefinitions(e,t){return Object.keys(t).reduce(((n,r)=>{const o=mergeAdTechConfigs(e[r],t[r]);return o&&(n[r]=o),n}),{})}const specialKeys={types:(e,t)=>{if(isObject(e))return mergeSlotTypeDefinitions(e,t)},groups:(e,t)=>e?isObject(e)?concatUniques([e,t]):void 0:t,targeting:(e,t)=>e?isObject(e)?mergeObjectsOfArrays([e,t]):void 0:t,position:(e,t)=>e?isObject(e)?mergeObjectsOfArrays([e,t]):void 0:t,content_type:(e,t)=>e?isObject(e)?mergeObjectsOfArrays([e,t]):void 0:t,sizes:(e,t)=>{if(isObject(e))return mergeViewportSizes(e,t)},render:(e,t)=>(slotComplexRenderProcessor(e),slotComplexRenderProcessor(t),getRender(e?t||e:t)),plugins:mergePlugins};function adConfigMerger(e,t,n){let r;return specialKeys[n]?r=specialKeys[n](e,t):Array.isArray(e)&&Array.isArray(t)&&(r=t),r}function mergeAdTechConfigs(e,t){return merge([{},e,t],adConfigMerger)}const errorMessage="Ads -- Ad unit path generation error : ",matcher$1="[^A-Za-z0-9]";function dashSlugify(e){const t=new RegExp(matcher$1,"g");return e&&e.toString().toLowerCase().replace(t,"-").replace(/-+/g,"-").replace(/(^-|-$)/g,"")}function evalPath(fnString,options){try{const pathFn=eval("("+fnString+")");if("function"==typeof pathFn)return pathFn(options);error$1(`${errorMessage} generation function is not a function`)}catch(e){error$1(`${errorMessage} generation function cannot be evaluated`)}}function searchMap(e,t){return Object.keys(e).reduce(((n,r)=>find$1(e[r],(e=>e===t))?r:n),!1)}function findCategory(e){let t=e.channel,n=t?dashSlugify(t):"misc";return n="home"===n?"homepage":n,n}function findContentType(e){const t=get$1(e,"adUnit.map.contentType");t||error$1(`${errorMessage} Content type map is missing in the config`);const n=searchMap(t,e.templateType);return n||error$1(`${errorMessage} contentType is undefined`),n}function matchAdUnitPathComponent(e){let t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:[],n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:"";t.sort(((e,t)=>{const n=Array.isArray(e)?e[0].length:e.length;return(Array.isArray(t)?t[0].length:t.length)-n}));for(let n=0;n<t.length;n+=1){const r=Array.isArray(t[n]),o=r?t[n][0]:t[n];if(e.startsWith(o))return r?t[n][1]:o}return n||e}function buildMatchedAdUnitPath(e,t){let n=e.categoryMatch,r=void 0===n?[]:n,o=e.contentTypeMatch,i=void 0===o?[]:o;const s=matchAdUnitPathComponent(t.category,r),a=matchAdUnitPathComponent(s,[matchAdUnitPathComponent(t.contentType,i)],t.contentType);return`${t.network}/${t.suffix}/${t.position}/${s}/${a}/${t.instance}`}function buildOrEvalPath(e,t){return Array.isArray(e.categoryMatch)?buildMatchedAdUnitPath(e,t):evalPath(e.generatePath,t)}function buildAdUnitPath(e){const t=e.position,n=e.network,r=e.positionCount,o=e.suffix,i=e.subChannel,s=e.contentType||findContentType(e),a=findCategory(e),c={network:n,position:t,category:a,contentType:s,instance:r,suffix:o,subChannel:i};set$1(window,"cns.adUnit.contentType",s),set$1(window,"cns.adUnit.category",a);return buildOrEvalPath({generatePath:get$1(e,"adUnit.generatePath"),categoryMatch:get$1(e,"adUnit.categoryMatch"),contentTypeMatch:get$1(e,"adUnit.contentTypeMatch")},c)}function buildOverridePath(e){return`${e.network}/${e.override.replace(/,/g,"/")}`}function slugifyChannels(e){let t=e.channel,n=e.subChannel;return{channel:dashSlugify(t)||"",subChannel:dashSlugify(n)||""}}function generatePathOptions(e,t){const n=e.positionCount,r=e.network,o=e.override,i=e.suffix,s=e.templateType,a=e.slotName,c=e.position,l=slugifyChannels(e),d=l.channel,u=l.subChannel;return{adUnit:t.adUnit,network:r,override:o,templateType:s,positionCount:n,slotName:a,channel:d,subChannel:u,suffix:i,contentType:t.contentType,position:c}}function getAdUnitPath(e,t){const n=generatePathOptions(e,t);let r;return r=n.override?buildOverridePath(n):buildAdUnitPath(n),r||error$1(errorMessage),debug$1(`${e.slotName}.adUnitPathGenerated`,r),r}const SlotCounter=function(){let e={};this.next=t=>{e[t]=e[t]||0;const n=e[t];return e[t]++,n},this.current=t=>e[t]||0},PositionCounter=function(){let e={};this.next=t=>{e[t]=e[t]||1;const n=e[t];return e[t]++,n}},Store=function(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};const t=new Map(Object.entries(e));this.getState=e=>t.has(e)?t.get(e):{},this.setState=function(e){let n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};const r=t.has(e)?t.get(e):{},o=Object.freeze(_objectSpread2(_objectSpread2({},r),n));return t.set(e,o),o},this.getStore=()=>t},SlotStore=function(){const e=new Store,t=new Set;this.getSlotState=t=>e.getState(t),this.setSlotState=(t,n)=>e.setState(t,n),this.isSpacerCreative=e=>t.has(e),this.setSpacerCreativeId=e=>{t.add(e)},this.getStore=()=>e.getStore()},matcher="[^A-Za-z0-9]";function slugify(e){const t=new RegExp(matcher,"g");return e.toString().toLowerCase().replace(t,"_").replace(/_+/g,"_").replace(/(^_|_$)/g,"")}function defineReadOnlyProperties(e,t){const n=Object.keys(t),r={};for(let e=0;e<n.length;e++){const o=n[e];r[o]={value:t[o],writable:!1,enumerable:!0}}return Object.defineProperties(e,r)}function freeze(e){try{return Object.freeze(e)}catch(e){throw new Error('Must use "new" keyword to instantiate, must support Object.freeze.')}}function matchVariantPattern(e,t){let n=!1;return t.forEach((t=>{!n&&e[t]&&(n=e[t])})),n||e._default||e.__default}function getSpecificityPattern(e){let t=e.slug,n=e.channel,r=e.subChannel,o=e.templateType;return[t,`${n}_${r}_${o}`,`${n}_${o}`,`${o}`]}function getSlotNamesForPage(e,t){const n=getSpecificityPattern(e);return matchVariantPattern(get$1(t,"slot.sets"),n)}function getConfig(){return get$1(window,"cns.config.config")}function getBrandAdUnitId(){return get$1(getConfig(),"slot.__auid_one")}function getAdUnit(){const e=get$1(window,"cns.config.config.ad_unit")||{};return{generatePath:e.generate_path,categoryMatch:e.category_match,contentTypeMatch:e.content_type_match,map:{contentType:get$1(e,"map.content_type")}}}function getNetwork(){return get$1(window,"cns.config.config.network")}function getViewportRange(e,t,n){const r=getConfig()[n],o=r&&matchVariantPattern(r,e);return o&&o[t]||o||0}function getPathOverride(){return queryParameters&&queryParameters.ao_iu}function getVersoFlag(e){const t=get$1(e,"keywords.platform")||[];return!!(t.length&&"verso"===t[0])}function getOverrideVpRange(e,t){return get$1(t,`request_vp_range.${e}`)}function getPageRefreshTime(){return getConfig().refresh}function CompleteDefiner(e,t,n){const r=new SlotCounter,o=new PositionCounter,i=new SlotStore,s=getSpecificityPattern(e),a=getConfig(),c=a.slot.types,l=getSlotNamesForPage(e,a),d=c._default||{},u=(a||{}).useBlueprintTargeting,g=getTargetingKeyTranslator(void 0!==u&&u),p="for_children",f="static_refresh_size",m="can_be_hidden",y="insert_after_react_ready",b="is_sticky",h="required_targeting",w="wait_for_oop";function $(e){const t=e.render;return t&&(t.slot||t[n]&&t[n].slot)}function S(e,t,r,o){e||warn(`Invalid sizes: unable to define '${r}' on ${n}.`,{definition:o,slotName:r}),t||warn(`Invalid render: unable to define: '${r}' on ${n}`,{definition:o,slotName:r})}const v=freeze(l.reduce(((e,r)=>{const o=mergeAdTechConfigs(d,c[r]._default),i=function(e){const n=matchVariantPattern(c[e],s);return t?mergeAdTechConfigs(n,t):n}(r),a=mergeAdTechConfigs(o,i);return function(e,t,n){const r=t.sizes,o=r&&r[n]&&r[n].length,i=r&&!1===r[n],s=$(t),a=o&&!i;return!!t.isOutOfPage||(S(a,s,e,t),o&&!i&&s)}(r,a,n)&&(e[r]=freeze(a)),e}),{})),T=freeze(Object.keys(v));const A=new function(){defineReadOnlyProperties(this,{slug:e.slug,server:e.server,keywords:e.keywords,channel:e.channel||"misc",subChannel:e.subChannel,subSubChannel:e.subSubChannel,device:n,templateType:e.templateType,contentType:e.contentType,forChildren:e[p],slotNames:T,network:getNetwork(),brand:getBrandAdUnitId(),requestViewportRange:getViewportRange(s,n,"request_vp_range"),adUnit:getAdUnit(),isVerso:getVersoFlag(e),useRoadblock:getConfig().useRoadblock,lazyloadSettings:getViewportRange(s,n,"lazyload_settings"),pageRefresh:getPageRefreshTime()}),freeze(this)};function P(t){const i=v[t]?v[t]:{sizes:{}};function s(e,n){let i=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{};e=void 0!==e?e:r.next(t);const s=`${t}_${e}`;n=void 0!==n?n:o.next(this.position);const a=this.position&&slugify(this.position),c=`${a}_${n}`;defineReadOnlyProperties(this,{id:s,slotCount:e,positionCount:n,positionId:c,data:i}),this.getAdUnitPath=()=>getAdUnitPath(this,A),freeze(this)}this.getRenderBlock=()=>$(i),this.getSizes=()=>i.sizes[n],this.getSizesArray=()=>sizesToArray(i.sizes[n]),this.getSizeMapping=()=>{const e=window.googletag.sizeMapping();return e.addSize([1024,0],sizesToArray(i.sizes.desktop)).addSize([768,0],sizesToArray(i.sizes.tablet)).addSize([0,0],sizesToArray(i.sizes.mobile)),e.build()},this.shouldWaitUntilVisibleBeforeDisplay=()=>!i[m],this.getCustomData=()=>i.data,s.prototype=this,this.getSlotDefinition=function(){for(var e=arguments.length,t=new Array(e),n=0;n<e;n++)t[n]=arguments[n];return new s(...t)},this.getSlotDefinitionFromGPTSlot=e=>{const t=g("pos_instance"),n=g("ctx_slot_instance"),r=parseInt(e.getTargeting(t)[0],10);return new s(parseInt(e.getTargeting(n)[0],10),r)},this.getSlotRefreshTime=(e,t,n)=>{let r;return r=void 0!==t?t:e,r&&r[n]&&(r=r[n]),r},defineReadOnlyProperties(this,{slotName:t,isOutOfPage:!!i.isOutOfPage,refresh:this.getSlotRefreshTime(A.pageRefresh,i.refresh,n),isSticky:isStickyDeviceEnabled(i[b],n),hasStaticRefreshSize:!!i[f],suffix:i.suffix,channel:e.channel,subChannel:e.subChannel,subSubChannel:e.subSubChannel,templateType:e.templateType,override:getPathOverride(),brand:getBrandAdUnitId(),network:getNetwork(),shouldWaitForOOP:i[w],shouldWaitForReact:!!i[y],requiredTargeting:i[h]||[],position:i.position,overrideRequestViewportRange:getOverrideVpRange(n,i)}),freeze(this)}this.getSlotTypeDefinition=e=>new P(e),this.getSlotDefinitionFromGPTSlot=e=>{const t=e.getSlotElementId().split("_");t.pop();return new P(t.join("_")).getSlotDefinitionFromGPTSlot(e)},this.getSlotStateStore=()=>i,this.getPageDefinition=()=>A,freeze(this)}const reactReadyEvent="react.ready";function onReactReady(){set$1(window,"_cne.pageCreated",!0)}function enableCNE(e){if(e.history(reactReadyEvent).length)return onReactReady();e.on(reactReadyEvent,onReactReady)}const eval2=eval;function getText(e){let t="";const n=e.childNodes;for(let e=0;e<n.length;e++){let r=n[e];8!==r.nodeType&&(t+=1!==r.nodeType?r.nodeValue:getText(r))}return t}function setMeta(e,t,n){const r=getText(n[t]);return{index:t,isOdd:!!(t%2),isEven:!(t%2),isFirst:0===t,isLast:t===e-1,characterCount:r.split("").length,wordCount:r.split(" ").length}}function isValidComplexInjection(e){return"string"==typeof e.el&&"number"==typeof e.every&&("object"==typeof e.in&&"string"==typeof e.in.el||"string"==typeof e.in)}const insertionMethodMap={top:"prepend",bottom:"append",after:"after"};function normalizeMethod(e){return insertionMethodMap[e]||e}const insertionMethods={before:e=>e.previousSibling,above:e=>e.previousSibling,after:e=>e.nextSibling,below:e=>e.nextSibling,prepend:e=>e.firstElementChild,append:e=>e.lastElementChild};function getInsertionTarget(e,t){if(insertionMethods[t])return insertionMethods[t](e)}function alreadyExists(e,t){const n=getInsertionTarget(e,t),r=n&&n.classList&&n.classList.contains("cns-ads-stage"),o=n&&n.firstChild,i=o&&o.classList&&o.classList.contains("cns-ads-stage");return!(!r&&!i)}function checkEvery(e){let t=e.injectionBlock,n=e.index;return"number"==typeof t.every&&!!t.every&&"number"==typeof n}function checkCustomCondition(e){return"function"==typeof e.customConditionFn}const shouldAddSlotConditions=[{name:"every",check:checkEvery,fn:e=>(e.index+1)%e.injectionBlock.every==0},{name:"custom condition",check:checkCustomCondition,fn:e=>(0,e.customConditionFn)(e.domNode,e.meta)}];function shouldAddSlot(e){for(let t=0;t<shouldAddSlotConditions.length;t++){const n=`shouldAddSlot.${shouldAddSlotConditions[t].name}`;if(shouldAddSlotConditions[t].check(e)){let r;try{r=shouldAddSlotConditions[t].fn(e)}catch(t){debug$1(`${n}.conditionThrew`,{ex:t,facts:e})}if(!r)return debug$1(`${n}.conditionNotMet`,e),r;debug$1(`${n}.conditionFalse`,e)}else debug$1(`${n}.checkFailed`,e)}return!0}function getParentSelector(e){return"string"==typeof e?e:e.el}function getEvalResult(e){if(e)try{return eval2(`(${e})`)}catch(e){error$1("seriesInjection",e)}}function getDomNodesForInjectionBlock(e){let t=0,n=0;const r=find(getParentSelector(e.in));if(!r)return[];const o=findAll(r,e.el),i=o.length,s=getEvalResult(e.when),a=[];for(let r=0;r<i;r++){const c=o[r],l=setMeta(i,r,o);t+=l.characterCount,n+=l.wordCount,l.accumulatedCharacterCount=t,l.accumulatedWordCount=n,shouldAddSlot({index:r,domNode:c,meta:l,customConditionFn:s,injectionBlock:e})&&a.push(c)}return a}function getCandidateElementsFromRenderBlock(e){return Object.keys(e).reduce(((t,n)=>{const r=e[n];let o;return"string"==typeof r?o=findAll(r):isValidComplexInjection(r)?o=getDomNodesForInjectionBlock(r):(o=[],error$1("invalid",r)),n=normalizeMethod(n),o=o.filter((e=>!alreadyExists(e,n))),o&&o.length&&(t[n]=o),t}),{})}const PromiseLock=function(){let e;return function(t){return function(){for(var n=arguments.length,r=new Array(n),o=0;o<n;o++)r[o]=arguments[o];if(e){const n=e.then((()=>t(...r)));return e=n.then((()=>{})),n}return e=t(...r),e}}};function createContainerEl(e,t,n){const r=createElement("div",{id:`${e}_${t}`});return addClasses(r,["cns-ads-container"]),setStyle(r,{margin:"0px auto",boxSizing:"content-box"}),n&&setElementData(r,n),r}function createAdDivs(e,t,n,r){const o="cns-ads-slot-type-",i=e.replace(new RegExp("_","g"),"-").toLowerCase(),s=createElement("div",{id:`${o}${i}-${t}`});addClasses(s,["cns-ads-stage",o+i,`${o+i}-${t}`]),setElementData(s,{name:`${e}_${t}`,"slot-type":e}),r||setStyle(s,{fontSize:0,lineHeight:0,overflow:"hidden"}),"_out_of_page"===e&&addClasses(s,["cns-ads-slot-type-out-of-page"]);const a=createElement("div");return addClasses(a,["cns-ads-flex-sizer"]),s.appendChild(a),s.appendChild(createContainerEl(e,t,n)),s}function InjectRefreshDisplayInjectionStrategy(e,t,n,r){window.googletag=window.googletag||{};const o=window.googletag,i={after:(e,t)=>e.parentNode.insertBefore(t,e.nextSibling),prepend:(e,t)=>e.insertBefore(t,e.children[0]),append:(e,t)=>e.appendChild(t),before:(e,t)=>e.parentNode.insertBefore(t,e)};this.insertSlot=function(s,a,c,l,d){fastdom.mutate((()=>{const u=createAdDivs(a.slotName,a.slotCount,_objectSpread2(_objectSpread2({},a.getCustomData()),a.data),r);!function(e,t,n){i[t]?i[t](e,n):e[t](n)}(c,l,u),d(u,a,(()=>{((r,i)=>{const s=t.getSingleInstance().getPageDefinition();e(["refreshLC-serviceLT"],{pageDefinition:s},(t=>(applyTargeting(o.pubads(),t),e(["refresh"],{slotDefinition:i,slot:r,pageDefinition:s},(e=>{e?(applyTargeting(r,e),n.reset(i),get$1(window,"cns.config.config.useRoadblock")||o.pubads().refresh([r],{changeCorrelator:!1}),debug$1(`refreshing.${r.getSlotElementId()}`)):error$1("slot targeting is missing",s,i)})))))})(s,a)}))}))}}const allowedIntersectionOptions=["threshold","rootMargin"],defaultIntersectionObserverOptions={threshold:0,rootMargin:"0px 0px"},_EventEmitter=new EventEmitter("VisibilityObserver"),debug=_EventEmitter.debug,error=_EventEmitter.error;function isIntersecting(e){return any(e,(e=>e.isIntersecting))}function hasHigherIntersectionRatio(e,t){return void 0===e||any(t,(t=>t.intersectionRatio>=(e||0)))}function getIntersectionObserverOptions(e){return Object.assign({},defaultIntersectionObserverOptions,pick(e,allowedIntersectionOptions))}function observeEvents(e,t,n,r){fastdom.measure((()=>{try{const r=new IntersectionObserver((o=>{hasHigherIntersectionRatio(t.intersectionRatio,o)&&isIntersecting(o)?(debug("visible",{el:e,entries:o}),n(!0,r)):(debug("notVisible",{el:e,entries:o}),n(!1,r))}),getIntersectionObserverOptions(t));r.observe(e)}catch(e){r(e)}}))}function onIntersection(e,t,n){observeEvents(e,t,(e=>n(e)),(e=>error("onIntersection",e)))}function onceVisible(e,t){return new Promise(((n,r)=>{observeEvents(e,t,((e,t)=>{e&&(n(),t.disconnect())}),r)}))}function reactRule(e,t){return!e||t}function targetingRule(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1?arguments[1]:void 0,n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:[];const r=Object.keys(t);return all(e,(e=>find$1(n,(t=>t===e))||find$1(r,(t=>t===e))))}function canRequest(e){let t=e.slotTypeDefinition,n=e.pageTargeting,r=e.slotTargeting,o=e.reactReady,i=e.oopHasRendered,s=e.excludedPositions,a=e.useRoadblock;const c=t.position,l=t.slotName,d=!!r,u=targetingRule(t.requiredTargeting,r,n),g=reactRule(t.shouldWaitForReact,o),p=s.has(c),f=d&&u;let m=f&&g&&!p&&!!i;return debug$1(`canRequest.${l}.${m}`,{slotTypeDefinition:t,pageTargeting:n,slotTargeting:r,reactReady:o,oopHasRendered:i,excludedPositions:s}),a||l.includes("out_of_page")?f&&g&&!p:!!i&&m}function UnassumingInsert(e,t,n,r){window.googletag=window.googletag||{};const o=window.googletag,i=t.withTargeting,s=r.getSingleInstance().getPageDefinition().isVerso,a=new InjectRefreshDisplayInjectionStrategy(i,r,n,s),c=new Set;let l=!1,d=!1;const u=get$1(window,"cns.config.config.useRoadblock");function g(e,t){let n;return r.getSingleInstance().getSlotStateStore().setSlotState(e.id,{nodeId:e.data&&e.data["node-id"]}),n=t?o.defineOutOfPageSlot(e.getAdUnitPath(),e.id):o.defineSlot(e.getAdUnitPath(),e.getSizesArray(),e.id).defineSizeMapping(e.getSizeMapping()),n}function p(e,t){return(n,r,i)=>{const s=function(e){if(e.shouldWaitUntilVisibleBeforeDisplay())return onceVisible}(r),a=()=>{const e=r.id;debug$1("insert.display",e),o.display(e),i()},c=e.requestViewportRange,l=t.overrideRequestViewportRange;if(s)return s(n,{rootMargin:`${void 0!==l?l:c}% 0%`}).then(a);a()}}const f=(new PromiseLock)((e=>{const t=e.getSingleInstance().getPageDefinition();return i(["service"],{pageDefinition:t},(n=>{if(n)return applyTargeting(o.pubads(),n),Promise.all(t.slotNames.map((r=>{const s=e.getSingleInstance().getSlotTypeDefinition(r);return function(e,t){let n;const r=e.getRenderBlock();return n=getCandidateElementsFromRenderBlock(r),Promise.all(Object.keys(n).map((r=>(debug$1("candidatesByMethod."+e.slotName,{method:r,els:n[r],definition:e}),Promise.all(n[r].map((e=>t(e,r))))))))}(s,((e,r)=>i(["slot"],{pageTargeting:n,slotTypeDefinition:s,reactReady:d,el:e},(f=>{if(!f)return void error$1("slot type targeting is missing",t,s);const m=o.pubads().getTargetingKeys();if(!canRequest({slotTypeDefinition:s,pageTargeting:m,slotTargeting:f,reactReady:d,oopHasRendered:l,excludedPositions:c,useRoadblock:u}))return void debug$1(`${s.slotName}.notRequestable`,s,d,n,f);const y=e.dataset.nodeId,b=s.getSlotDefinition(void 0,void 0,_objectSpread2({},y&&{"node-id":y})),h=b.isOutOfPage,w=g(b,h);if(!w)return void error$1("the slot cannot be defined",b,w);w.addService(window.googletag.pubads()),h&&w.addService(window.googletag.companionAds());const $=_objectSpread2({},f);w.updateTargetingFromMap($),i(["define"],{slot:w,slotDefinition:b},(e=>{applyTargeting(w,e)})),a.insertSlot(w,b,e,r,p(t,s))}))))})));error$1("page targeting is missing",t)})).catch(handlePromiseError("insert error")).then((()=>new Promise((e=>fastdom.mutate((()=>setTimeout(e,1e3))))))).catch(handlePromiseError("impossible mutate error"))}));var m;m=()=>{d=!0},e.history("react.ready").length?m():e.on("react.ready",m),function(){const t=e.on("#.slotRenderEnded.#",((n,r)=>{r.topic&&r.topic.includes("out_of_page")&&(l=!0,t(),e.emit("ads.componentDidUpdate"))}))}(),e.on("ads.excludePositions",(e=>{e.forEach(c.add,c)})),this.insert=t=>{!function(t){o.pubadsReady?t():e.on("ads.pubadsReady",t)}((()=>{f(t),function(t){e.on("react.ready",t),e.on("#.componentDidMount.#",t),e.on("#.componentDidUpdate.#",t)}(debounce((()=>f(t)),500))}))}}function UniqueTimerStore(){const e={};function t(t){const n=e[t];n&&(clearTimeout(n),e[t]=null)}this.startTimer=function(n,r,o){t(n),e[n]=setTimeout((()=>{t(n),r()}),o)},this.endTimer=t}function KeyCounter(){let e={};this.increment=t=>{e[t]||(e[t]=0),e[t]+=1},this.remove=t=>{e[t]&&delete e[t]},this.getCount=t=>e[t]||0}function RefreshControl(e,t){const n=t.withTargeting,r=new EventEmitter("RefreshControl").debug,o=new KeyCounter,i=new KeyCounter,s=new Set,a=new Set,c=new Set,l=new UniqueTimerStore,d=[["aged",e=>s.has(e)],["impressions",e=>i.getCount(e)],["visible",e=>c.has(e)]],u=e=>`${e}.refresh_${o.getCount(e)}`,g=t=>e.getSingleInstance().getSlotDefinitionFromGPTSlot(t);function p(t){const i=e.getSingleInstance().getPageDefinition(),s=getSlotById(t),a=g(s);r(`setTargeting.${u(t)}`);const c=getConfig$1(window).config.useBlueprintTargeting,l=getTargetingKeyTranslator(void 0!==c&&c)("ctx_slot_rn");return s.setTargeting(l,o.getCount(t)),n(["refreshLC-serviceLT"],{pageDefinition:i},(e=>(applyTargeting(window.googletag.pubads(),e),n(["refresh"],{pageDefinition:i,slotDefinition:a,slot:s},(e=>{applyTargeting(s,e)})))))}function f(e){return void 0===e?3e4:!Number.isNaN(parseInt(e,10))&&e>0?e:0}const m=cumulativeArgumentDebounce((e=>{const t=uniq(e.map((e=>e[0])));if(window.cns.flags.shouldNotRefresh)r("window.cns.flags.shouldNotRefresh");else if(r(`refreshing.${t.map((e=>u(e))).join(",")}`),t.forEach((e=>h(g(getSlotById(e))))),!get$1(window,"cns.config.config.useRoadblock")){const e=t.map(getSlotById);window.googletag.pubads().refresh(e,{changeCorrelator:!1})}}),100);function y(e){r(`onChange.${e}.(${d.map((t=>t[0]+":"+t[1](e))).join(",")})`),all(d,(t=>t[1](e)))&&p(e).then((()=>{m(e)}))}function b(e,t){0===(t=f(t))?y(e):l.startTimer(e,(()=>{s.add(e),y(e)}),t),r(`willRefreshIn.${e}.${t}`)}function h(e){const t=e.id;i.remove(t),s.delete(t),b(t,e.refresh)}function 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