An exclusive conversation with Kevin Weil, head of OpenAI for Science, a new in-house team that wants to make scientists more productive. In the three years since ChatGPT's explosive debut, OpenAI's technology has upended a remarkable range of everyday activities at home, at work, in schools--anywhere people have a browser open or a phone out, which is everywhere. Now OpenAI is making an explicit play for scientists. In October, the firm announced that it had launched a whole new team, called OpenAI for Science, dedicated to exploring how its large language models could help scientists and tweaking its tools to support them. The last couple of months have seen a slew of social media posts and academic publications in which mathematicians, physicists, biologists, and others have described how LLMs (and OpenAI's GPT-5 in particular) have helped them make a discovery or nudged them toward a solution they might otherwise have missed. In part, OpenAI for Science was set up to engage with this community.

Apple could unveil Gemini-powered Siri in Feb. A good prompt goes a long way. ChatGPT is available on both iOS and Android. Since March 2025, ChatGPT has been capable of generating images. Following a period where it briefly wasn't available to free users, you now don't even pay for one of OpenAI's subscriptions to use this feature.

A British AI startup that makes realistic video avatars has almost doubled its valuation to $4bn (£3bn), in a boost for the UK technology sector. Synthesia was valued at $2.1bn last year and moved into new offices in central London, marking the moment with a ceremony attended by the Sadiq Khan, the city's mayor, and Peter Kyle, then technology secretary. On Monday, it announced its latest funding round, led by an existing investor, Google Ventures, had raised $200m and valued the British company at $4bn. Google Ventures is the search firm's venture capital arm. Synthesia uses human actors to generate digital avatars of people and also offers employers the ability to create replicas of their staff.

Altman's campaigning for his company coincides with its use of enormous present resources to serve an imagined future OpenAI CEO Sam Altman poses during the Artificial Intelligence (AI) Action Summit, at the Grand Palais, in Paris, on February 11, 2025. Sam Altman has claimed over the years that the advancement of AI could solve climate change, cure cancer, create a benevolent superintelligence beyond human comprehension, provide a tutor for every student, take over nearly half of the tasks in the economy and create what he calls "universal extreme wealth". In order to bring about his utopian future, Altman is demanding enormous resources from the present. As CEO of OpenAI, the world's most valuable privately owned company, he has in recent months announced plans for $1tn of investment into datacenters and struck multibillion-dollar deals with several chipmakers. If completed, the datacenters are expected to use more power than entire European nations .

Tests conducted by the Guardian show that GPT-5.2 sourced some of its info from the AI-generated online encyclopedia from Elon Musk's xAI. OpenAI may have called GPT-5.2 its most advanced frontier model for professional work, but tests conducted by the cast doubt on its credibility. According to the report, OpenAI's GPT-5.2 model cited Grokipedia, the online encyclopedia powered by xAI, when it came to specific, but controversial topics related to Iran or the Holocaust. As seen in the's report, ChatGPT used Grokipedia as a source for claims about the Iranian government being tied to telecommunications company MTN-Irancell and questions related to Richard Evans, a British historian who served as an expert witness during a libel trial for Holocaust denier David Irving. However, the noted ChatGPT didn't use Grokipedia when it came to a prompt asking about media bias against Donald Trump and other controversial topics. A study done by US researchers also showed that the AI-generated encyclopedia cited questionable and problematic sources.

The Math on AI Agents Doesn't Add Up A research paper suggests AI agents are mathematically doomed to fail. The big AI companies promised us that 2025 would be "the year of the AI agents." It turned out to be the year of AI agents, and kicking the can for that transformational moment to 2026 or maybe later. But what if the answer to the question "When will our lives be fully automated by generative AI robots that perform our tasks for us and basically run the world?" is, like that New Yorker cartoon, "How about never?" That was basically the message of a paper published without much fanfare some months ago, smack in the middle of the overhyped year of "agentic AI." Entitled " Hallucination Stations: On Some Basic Limitations of Transformer-Based Language Models," it purports to mathematically show that "LLMs are incapable of carrying out computational and agentic tasks beyond a certain complexity."

Johansson was dragged into the AI debate after OpenAI's voice assistant used her vocal likeness, prompting the actor to say she was'angered' by the move. Johansson was dragged into the AI debate after OpenAI's voice assistant used her vocal likeness, prompting the actor to say she was'angered' by the move. Scarlett Johansson, Cate Blanchett, REM and Jodi Picoult are among hundreds of Hollywood stars, musicians and authors backing a new campaign accusing AI companies of "theft" of their work. The "Stealing Isn't Innovation" drive launched on Thursday with the support of approximately 800 creative professionals and bands. It adds: "Artists, writers, and creators of all kinds are banding together with a simple message: Stealing our work is not innovation.

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.

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 .

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.