Jeremy Howard, cofounder of fast.ai, a non-profit AI research group, has argued for classical liberal values on questions of AI governance, contending that restricting access to AI systems would ...

If you’ve recently fallen down a YouTube or TikTok rabbit hole about the rise of “AI-relationships,” and then inevitably found yourself scrolling through the r/MyBoyfriendIsAI subreddit, you might be ...

As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...

“I’m not so interested in LLMs anymore,” declared Dr. Yann LeCun, Meta’s Chief AI Scientist and then proceeded to upend everything we think we know about AI. No one can escape the hype around large ...

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 ...

There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention. Ever-more ...

The actions of AI large language models are concerning—but broadly similar to human decision-makers, who have used nuclear ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

A meta-analysis suggests that large language model-simplified radiology reports improve patient understanding and readability ...

Scoping review finds large language models can support glaucoma education and decision support, but accuracy and multimodal limits persist.