Microsoft introduced Code last month as one of the three core parts of its revamped Copilot app. The app was pitched as an easy-to-use coding agent that lets users describe what they want to build in natural language, like an app, a tracker, a dashboard, an automation, or a workflow, and Copilot would build it [β¦]
The vibe-coding platform said all of its customers should revoke and rotate their private keys, after hackers were able to decrypt some customer secrets.
The AI slap: forwarding AI-generated text without reading it. (GeekWire Illustration / GPT-6)
Weβve all encountered the phrase AI slop, but whatβs an AI slap? A meat proxy? Chatfishing? Or agentsomnia? Following up on my glossary of AI, which demystified AI jargon, Prof. Dan Weld is joining me to shine a light on the nontechnical lingo of the AI era. We also sneak in a few phrases that should exist to capture the AI zeitgeist, circa 2026.
We introduce more than 35 phrases, so weβve divided them into sections to keep the broligarchy from crowding enshittification.
βDigital content of low quality that is produced usually in quantity by means of artificial intelligence,β which is how Merriam-Webster defined slop, its 2025 word of the year. Shrimp Jesus is the specimen, Christ fused with crustaceans, posted to Facebook by the thousands.
AI cream is our name for the rare opposite, superb writing authored with the help of AI. We hope that over time the cream will rise to the top and the slop will sink.
Until that happens, we have the meat proxy, βa person who forwards AI-generated text, code, or other output without reading, understanding, or validating it.β We call the action of sending AI-generated text blindly an AI slap. It stings.
Your AI Slop Bores Me is a website where you type a prompt and a randomly chosen human answers it while pretending to be a chatbot. Fifty million views in a week, which tells you how badly people wanted to say something back.
AI suspicion is our name for the nagging feeling that what youβre reading was AI generated. You could also call it Turing tingle or AI-dar.
AI shaming is the accusation that follows, attacking someoneβs work by insinuating a machine wrote it. The paper that named it is subtitled βBirth of a Classist Slur in Knowledge Work,β and it argues that the accusations fall hardest on racial minorities and on writers whose first language isnβt English.
A video or recording altered by machine learning so that a real person appears to say or do something they never said or did. Named in late 2017 for the Reddit user who called himself deepfakes. The word we all use for AI deception descends from one anonymous pornographerβs handle.
The liarβs dividend is the payoff a real wrongdoer collects once any authentic recording can be waved off as a fake. The damage isnβt the fake video. Itβs that real video stops counting.
Counterfeit people was Daniel Dennettβs last argument, that machines able to pass as human are βthe most dangerous artifacts in human history, capable of destroying not just economies but human freedom itself.β He wanted them outlawed and watermarked like banknotes.
Tilly Norwood is one of them, an AI actress unveiled at the Zurich Film Festival in September 2025. Her makers said talent agents wanted to sign her. Emily Blunt, shown a picture, said βGood Lord, weβre screwedβ and told the agencies to stop.
Most of the damage doesnβt need AI at all. A cheapfake is manipulation made with cheap software or none at all. Chatfishing is using AI to write your messages on a dating app, where the con used to be a fake photo and is now a rented personality.
A name for the Silicon Valley billionaires and venture capitalists who think democracy is finished and want corporate rule in its place. Gil DurΓ‘nβs book, subtitled Silicon Valley Fascism and the War on Democracy, traces the idea to a 1997 book, The Sovereign Individual, and to Peter Thielβs circle, which DurΓ‘n says believes βtechnology means democracy is an obsolete software system.β
DurΓ‘n didnβt coin the phrase. Someone in the crypto world told him theyβd been using it for years.
DurΓ‘nβs target is the broligarchy, βa small group of extremely wealthy men, particularly those in technology, who wield significant political and economic power.β The word sat on Twitter from 2009 and went nowhere until Carole Cadwalladr wrote about βa new super-class of broligarchsβ in July 2024.
The mental deterioration that comes from consuming too much junk online, chosen by Oxford University Press as its 2024 word of the year. Thoreau got there first, in Walden in 1854, complaining that England was busy curing the potato-rot while nobody was curing the brain-rot.
Dead internet theory is the supply side, βa theory that a lot of the internet is no longer created by real people but rather by bots and other AI tools.β It started as a forum post in January 2021 and is quietly turning into a description.
Enshittification is Cory Doctorowβs three-stage decay: βfirst, they are good to their users; then they abuse their users to make things better for their business customers; finally, they abuse those business customers to claw back all the value for themselves.β
AI fatigue is whatβs left over, βthe exhaustion or the sense of being overwhelmed by the rapid proliferation and constant engagement with artificial intelligence technologies.β The phrase has been drifting through the trade press since 2023 with no author attached; the definition above comes from Route Fifty, a trade publication for state and local government.
Andrej Karpathyβs February 2025 coinage, crowned Collins Dictionaryβs word of the year for 2025, is βfully giving in to the vibes, embrac[ing] exponentials, and forget[ting] that the code even existsββaccepting whatever diff the AI hands you without reading it.
Promptatory is our word, styled on βpurgatory,β for the state of being trapped in an unending edit-and-re-prompt loop with an AI system. You fix the bug the AI introduced, and in fixing it, the AI introduces two more, each smaller and more absurd than the last. Progress is hard earned: you close in on βdoneβ like the runner in Zenoβs paradox, forever eating the remaining distance in half. Promptatory is vibe codingβs hangover: the vibe wears off, and the rereading begins.
A related condition we dub agentsomnia is the chronic inability to rest or disconnect from work, driven by the haunting feeling that your autonomous software or AI agents are stalled without your feedback. The Wall Street Journal calls it agent FOMO.
An OpenAI rallying cry. AGI is the point where a machine can do any intellectual task a person can, and the phrase became a general exclamation for the moment a model does something that rearranges your sense of whatβs coming. Ilya Sutskever used it inside the company and posted it publicly in 2022. It works as celebration and as diagnosis.
P(doom) runs in the other direction: βyour personal probability that AI ends the world, stated as a number so the vibe feels like math.β It started as shorthand among a small online community in 2022 and now gets asked at dinner parties.
Talk that outruns the technology comes in other flavors too.
Bragawatts, a unit of measurement for boasting, is βthe practice of AI companies boasting about very large projects to create excitement and attract investment, even though many of these projects are never completed,β as Britainβs Cambridge Dictionary put it in January 2026.
Vibe revenue does the same thing to the income statement, βmoney or funding that an AI company is given because people are excited about the potential of AI, rather than because the companyβs products are already successful.β
A one-sided relationship with someone who doesnβt know you exist. Donald Horton and Richard Wohl coined it in 1956 about television viewers, and Britainβs Cambridge Dictionary made it the 2025 word of the year, citing celebrities, influencers, and chatbots. A seventy-year-old term about Ed Sullivan turns out to describe your relationship with ChatGPT.
AI addiction is what happens when the one-sided relationship takes over. A 2026 study sorted it into three kinds: escapist roleplay, where people come to prefer the world the chatbot builds; pseudosocial companionship, where it replaces the relationships; and the epistemic rabbit hole, compulsive question-asking that crowds out everything else.
The researchers blame the design and call the chatbot an AI genie, a thing that gives you exactly anything you want with minimal effort.
AI psychosis is the far end, βa phenomenon wherein individuals reportedly develop or experience worsening psychosis, such as paranoia and delusions, in connection with their use of chatbots.β The Danish psychiatrist SΓΈren Dinesen Γstergaard suggested the term in a 2023 editorial in the journal Schizophrenia Bulletin. It isnβt a recognized clinical diagnosis, and we should say so.
Nearly every phrase above names a problem. Slop, shaming, deepfakes, brain rot, psychosis: what the AI era has added to English so far is a vocabulary of complaint. Thereβs still no common word for AI doing something well. Weβve offered AI cream. If you have a candidate for a phrase weβre missing, please send it to us.
Epic Gamesβ redesigned launcher enters preview on Windows, Mac and Linux. Explore speed claims, compatibility limits and what to check before installing.
Epic Gamesβ redesigned launcher enters preview on Windows, Mac and Linux. Explore speed claims, compatibility limits and what to check before installing.
Bluesky is bringing βsocial vibe codingβ to its experimental Attie platform, allowing users to create interactive experiences like games, quizzes, and websites that can tap into the social network's audience.
Nearly eight years after Epic took on Steam with its own Game Store and launcher, the Fortnite maker is deploying a new tool to give it an edge over Valve: vibe coding.
In announcing the new publicly available "Preview" build of its Epic Games Launcher, Epic writes that "programming is hard. So, instead of doing that, we vibe coded a new Epic Games Launcher thatβs way faster and more responsive than the current one, and has a new look." And while that might sound a little tongue-in-cheek, Epic Games Store General Manager and VP Martin Keely told PC Gamer that the team "started from scratch" and used AI as "a tool to write and review new features and new capabilities from the ground up in a different tech stack than what we had previously." The goal, Keely said, was to "look at functionality that existed [in the current Epic Games Launcher] and [say] we want to replicate that, but not the code itself."
Speaking to IGN, Keely clarified that using AI to code the new Launcher "made us more efficient and allowed a small team to rewrite the code base and be able to launch it faster across platforms, support Windows and Mac, and we're going to have a Linux version as well."
Google has already added a few AI features to the Play Store, but a lot more are coming. The previously released Ask Play feature is expanding to offer more AI-powered discovery options in Google's app store, and Google is also using AI to build a recommendation engine called Game Finder. For people who have embraced AI to build their own apps, the Play Store will soon offer a way to privately host and share those creations.
Google rolled out Ask Play in 2025 as a small chatbot interface on Play Store listings. It lets you ask questions about an app or game, either by typing it in manually or choosing from a list of suggested queries. Starting today, Ask Play is expanding into a more general way to search for apps and games. You ask the robot questions, and it generates recommendations that can include detailed comparison charts. Gemini will roll out a similar capability soon.
Google's other AI discovery announcement focuses on games. The new Game Finder feature leans on all the usage data Google's app platform has hoovered up over the years, featuring insights into the way 1.2 billion people play games on Android. It builds a profile called Gamer DNA and matches you with players who have similar DNA.
A recent study of actual coding practices across hundreds of firms finds that human code review forms a significant "bottleneck" for the overall efficiency of AI coding tools, resulting in "little evidence that firms increase software output or reduce employment" by using them. Any efficiency increased during the actual coding phase, the study authors find, is "absorbed by downstream constraints in the production process"; as "the code review process significantly increases in length, pull requests are more likely to require revisions, and reviewers leave more comments."
Cut once, measure twice
To come to these conclusions, Harvard University researchers Fiona Chen and James Stratton made use of aggregated analytics data from Jellyfish, which measures the granular output of engineering teams. That data encompasses 300 million individual "work events" (e.g., commits and pull requests) and issue management software data across more than 700,000 employees at over 700 relevant software development firms from 2021 through March of 2026.