We consider the problem of modifying a description logic concept in light of models represented as pointed interpretations. We call this setting model change, and distinguish three main kinds of changes: eviction, which consists of only removing models; reception, which incorporates models; and revision, which combines removal with incorporation of models in a single operation. We introduce a formal notion of revision and argue that it does not reduce to a simple combination of eviction and reception, contrary to intuition. We provide positive and negative results on the compatibility of eviction and reception for EL-bottom and ALC description logic concepts and on the compatibility of revision for ALC concepts.

A Wikipedia Group Made a Guide to Detect AI Writing. The web's best resource for spotting AI writing has ironically become a manual for AI models to hide it. On Saturday, tech entrepreneur Siqi Chen released an open source plug-in for Anthropic's Claude Code AI assistant that instructs the AI model to stop writing like an AI model. Called Humanizer, the simple prompt plug-in feeds Claude a list of 24 language and formatting patterns that Wikipedia editors have listed as chatbot giveaways. Chen published the plug-in on GitHub, where it has picked up more than 1,600 stars as of Monday.

Hume AI's CEO, Alan Cowen, will join Google DeepMind along with several top engineers as part of a major licensing deal. Google DeepMind is hiring the CEO and several top engineers from Hume AI, a startup working on emotionally intelligent voice interfaces, as part of a new licensing agreement, WIRED has learned. Financial details of the deal are confidential, but Hume AI says the company will continue to supply its technology to other frontier AI labs. The deal is the latest sign that AI companies expect voice mode to become an increasingly important interface for interacting with customers--and that understanding a user's emotions and mood based on their voice interactions is key. Hume AI expects to bring in $100 million in revenue in 2026 as it works with AI labs on tuning AI models to be more capable and useful voice helpers, says John Beadle, cofounder and managing partner of AEGIS Ventures, which invested in Hume AI.

Yann LeCun's new venture is a contrarian bet against large language models In an exclusive interview, the AI pioneer shares his plans for his new Paris-based company, AMI Labs. Yann LeCun is a Turing Award recipient and a top AI researcher, but he has long been a contrarian figure in the tech world. He believes that the industry's current obsession with large language models is wrong-headed and will ultimately fail to solve many pressing problems. Instead, he thinks we should be betting on world models--a different type of AI that accurately reflects the dynamics of the real world. He is also a staunch advocate for open-source AI and criticizes the closed approach of frontier labs like OpenAI and Anthropic. Perhaps it's no surprise, then, that he recently left Meta, where he had served as chief scientist for FAIR (Fundamental AI Research), the company's influential research lab that he founded. Meta has struggled to gain much traction with its open-source AI model Llama and has seen internal shake-ups, including the controversial acquisition of ScaleAI. LeCun sat down with in an exclusive online interview from his Paris apartment to discuss his new venture, life after Meta, the future of artificial intelligence, and why he thinks the industry is chasing the wrong ideas.

When you purchase through links in our articles, we may earn a small commission. AI tools are everywhere now--but using them efficiently is a different story. Most people end up bouncing between chatbots, image generators, writing tools, and video apps, each with its own subscription. For $74.97 through January 31, you get lifetime access to a multi-model AI platform powered by names you already recognize, including GPT-4o, Claude 3, Gemini Pro, Llama, Mistral, and Cohere. Different models excel at different tasks, and 1min.AI lets you switch between them without extra costs or logins.

OpenAI could be valued at $1tn if it launches an initial public offering, Reuters said. OpenAI could be valued at $1tn if it launches an initial public offering, Reuters said. The year of the'hectocorn': the $100bn tech companies that could float in 2026 Y ou've probably heard of "unicorns" - technology startups valued at more than $1bn - but 2026 is shaping up to be the year of the " hectocorn ", with several US and European companies potentially floating on stock markets at valuations over $100bn (£75bn). OpenAI, Anthropic, SpaceX and Stripe are among the big names said to be considering an initial public offering (IPO) this year. The success of their flotations - whether the shares maintain their value, rise or fall - could shape concerns about the AI race and whether the resulting market mania is a bubble .

We study in-context learning for nonparametric regression with $α$-Hölder smooth regression functions, for some $α>0$. We prove that, with $n$ in-context examples and $d$-dimensional regression covariates, a pretrained transformer with $Θ(\log n)$ parameters and $Ω\bigl(n^{2α/(2α+d)}\log^3 n\bigr)$ pretraining sequences can achieve the minimax-optimal rate of convergence $O\bigl(n^{-2α/(2α+d)}\bigr)$ in mean squared error. Our result requires substantially fewer transformer parameters and pretraining sequences than previous results in the literature. This is achieved by showing that transformers are able to approximate local polynomial estimators efficiently by implementing a kernel-weighted polynomial basis and then running gradient descent.

WIRED analyzed more than 5,000 papers from NeurIPS using OpenAI's Codex to understand the areas where the US and China actually work together on AI research. The US and China are, by many measures, archrivals in the field of artificial intelligence, with companies racing to outdo each other on algorithms, models, and specialized silicon . And yet, the world's AI superpowers still collaborate to a surprising degree when it comes to cutting-edge research. A WIRED analysis of more than 5,000 AI research papers presented last month at the industry's premier conference, Neural Information Processing Systems ( NeurIPS), reveals a significant amount of collaboration between US and Chinese labs. The analysis found that 141 out of the 5,290 total papers (roughly 3 percent) involve collaboration between authors affiliated with US institutions and those affiliated with Chinese ones.

Bungie's Marathon arrives on March 5 How to claim Verizon's $20 outage credit With big power and big range, Volvo's next-gen EV efforts are off to a good start. Volvo hasn't exactly had a great run of EVs lately. The rollout of its flagship EX90 was stymied out of the gate by a bevy of software glitches. The EX30, meanwhile, was too expensive when it launched -- the promised $35,000 model was incompatible with the currently chaotic global tariff situation. Now, it's time for a new generation of EV from Volvo, one that's radically different at its core with a gigacast frame, a much higher-density battery and enough digital and literal horsepower to impress the most jaded of automotive enthusiasts.

How Do You Teach an AI to Be Good? A person holds a smartphone displaying the logo of "Claude," an AI language model by Anthropic A person holds a smartphone displaying the logo of "Claude," an AI language model by Anthropic Cheng Xin/Getty Images Getting AI models to behave used to be a thorny mathematical problem. These days, it looks a bit more like raising a child. That, at least, is according to Amanda Askell --a trained philosopher whose unique role within Anthropic is crafting the personality of Claude, the AI firm's rival to ChatGPT. "Imagine you suddenly realize that your six-year-old child is a kind of genius," Askell says.