Names and generic search terms the radar has already aged 24 hours. Today's table stays on Pro.
A Lightricks image-to-video model name that appeared on Hugging Face’s trending list.
A Qwen text-to-image model version that entered Hugging Face trending as a new name.
A named autonomous penetration-testing project that broke out as a GitHub repository.
An open-source spreadsheet written in Rust; the repo name itself became the search term.
ByteDance’s video-generation model family, used as a named search term after each version drop.
A dated Anthropic Claude Haiku release used as a search name the week it shipped.
An image-editing product whose name spiked as people searched for a Photoshop alternative.
Google’s tool for spotting SynthID watermarks; the durable search is “ai image detector.”
Writing software by telling a model what you want and keeping what runs, instead of typing every line.
Shopping or checkout where an agent finds, compares, and buys on a person’s behalf.
Oxford’s 2024 word for the feeling that too much low-quality online content is dulling your mind.
An open standard for connecting models to tools and data sources through a shared interface.
Spending more inference-time thinking on a hard question instead of only training a bigger model.
The hidden cost of prompts that nobody owns, versions, or tests as the model changes.
Charli XCX’s 2024 album-as-aesthetic: lime green, messy confidence, mid-party energy.
Low-effort, high-volume AI text or media that fills feeds without adding much.
A job posting the company does not actually intend to fill right now.
AI systems that take a goal and then plan, call tools, and act across steps without a prompt each time.
A model that routes each token to a few specialist sub-networks instead of using every parameter.
Oxford’s 2023 word for romantic charm, especially the kind you perform in chat.
Showing up at the office just long enough to be seen, then leaving to work elsewhere.
An online identity that performs 1950s-style homemaking, often as a political or commercial aesthetic.
Model weights you can download, even if the license is not fully open source.
Spending a whole day in bed on purpose, as rest rather than as illness.
Interfaces that treat the room as the canvas: headsets, hands, and mixed overlays.
Using already-staked tokens again to secure another protocol, and to earn another yield.
A product or company designed around models from the start, not a feature bolted onto old software.
The quality drop when models are trained on too much of their own previous output.
Expensive taste that hides logos: good cloth, quiet color, no obvious brand.
A program that uses a model to decide actions toward a goal, often with tools and memory.
Search that answers with a model instead of, or on top of, a list of blue links.
Speeding up generation by letting a cheap draft model guess tokens a larger model then checks.
Creators telling audiences not to buy a hyped product, or to buy a cheaper stand-in.
A famous person whose career is easier to explain once you know their parents.
A prompt or trick that gets a model to ignore the safety rules its maker set.
Oxford’s 2022 word for dropping the performance of being put-together and living feral on purpose.
When a model states something false with the same confidence as a true answer.
Models that produce text, images, audio, or video instead of only classifying an input.
Quietly looking for the next job while you still have this one.
Cory Doctorow’s word for platforms that get worse as they squeeze users, then business customers.
Companies doing climate work but saying less about it, to avoid greenwashing attacks.
Hiding instructions in text or pages so a model follows the attacker instead of the developer.
Making a job so empty or hostile that the person leaves without a layoff.
Doing the job as written and refusing the unpaid extra that used to look like loyalty.
A phishing-resistant login that uses a device-bound public key instead of a password.
Moving supply chains to politically friendly countries instead of the cheapest ones.
Countries and firms reducing their use of the U.S. dollar for trade or reserves.
Asking a model to write intermediate steps before the final answer.
Training a model to prefer answers humans rank as better, using a reward model.
A cheap way to adapt a large model by training small rank-decomposition matrices.
A Chinese refusal of grind culture: do less, opt out of the promotion race.
Staying up late on purpose to reclaim hours the day job took.
Letting a model look up documents at answer time instead of relying only on training weights.
A neural scene representation that reconstructs a 3D view from a set of photographs.
A schedule that splits the week between the office and somewhere else.
Moving production to a nearby country instead of the cheapest distant one.
Training or test examples generated by a model or a simulator instead of collected from people.
The Chinese-internet name for a race where everyone works harder and nobody gets ahead.
The market of people who make a living from audiences, tools, and brand deals.
Continuing to train a pretrained model on a narrower dataset so it fits a job.
An aesthetic of rural self-sufficiency: gardens, bread, linen, and a softer internet.
Keeping the feed open through bad news long after you meant to stop.
Synthetic audio or video that makes a real person appear to say or do something they did not.
How much text a model can see at once, measured in tokens.
A romantic relationship that is more than casual and less than a defined couple.
One app that hosts chat, payments, mini-programs, and other jobs instead of a single task.
Public-key algorithms meant to stay hard even if a large quantum computer arrives.
The problem of making models do what people actually intend, including in the long run.
Keeping the price and shrinking the package so the unit cost rises.
Splitting a checkout into interest-free (or not) installments at the store.
A private company valued at a billion dollars or more.
Work sold in tasks through an app: rides, deliveries, freelance jobs, no salaried hour.
When a platform quietly stops showing your posts without telling you that you are banned.
Overwhelming someone with attention and gifts early, often as a control move.
An interface designed to trick someone into a click, a purchase, or a harder cancel.
A game that sells randomized pulls the way a capsule-toy machine does.
Finding cheap, experiment-heavy ways to acquire users, often at the edge of the product.
Bringing manufacturing back to the home country after years of offshoring.
A live software model of a physical object, site, or process, updated from sensors.
A firm that earns too little to cover its interest and stays alive on cheap debt.
Someone who works remotely while moving between cities or countries.
Fear of missing out: the anxiety that other people are living a better night than you.
Research you can read without a subscription paywall.
Playing a game as fast as the rules of a category allow, often with a public timer.
Treating human attention as the scarce resource platforms compete to hold.
Cooling inflation without tipping the economy into a recession.
Research that invites non-professionals to collect or classify data.
Talking like a climate leader while the actual emissions or products do not match.
Fake grassroots: paid or coordinated posts that pretend to be ordinary people.
The work of managing feelings — yours or the customer’s — as part of the job.
A one-sided bond a viewer feels with a creator who does not know them.