The latest round of language models, like GPT-4o and Gemini 1.5 Pro, are touted as “multimodal,” able to understand images and audio as well as text. But a new study makes clear that they don’t really ...

Large language models spread at unprecedented speed, but they also erased much of the competitive gradient. Everyone has access to the same models, the same interfaces, and, increasingly, the same ...

Once, the world’s richest men competed over yachts, jets and private islands. Now, the size-measuring contest of choice is clusters. Just 18 months ago, OpenAI trained GPT-4, its then state-of-the-art ...

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models. Two years ago, Yuri Burda and Harri ...

Apple’s machine-learning group set off a rhetorical firestorm earlier this month with its release of “The Illusion of Thinking,” a 53-page research paper arguing that so-called large reasoning models ...

The following is sponsored content. It may not reflect the views of our editorial staff. Why Data, Not Models, Determines AI Success Your email has been sent Enterprises racing to deploy generative AI ...

By Michael Krallmann, CEO, TransLegal. For the legal tech community, cross-jurisdictional meaning raises questions of risk, liability and trust. Increasingly capable models, wrapped in ...