Published as an arXiv preprint, the paper details how unsupervised and self-supervised AI models are matching or surpassing ...

LLM answers vary widely. Here’s how to extract repeatable structural, conceptual, and entity patterns to inform optimization ...

Leading AI models are failing basic logic tests at alarming rates, and the consequences extend well beyond academic curiosity. New research shows that the same systems millions of people rely on for ...

The world’s most advanced artificial intelligence systems are essentially cheating their way through medical tests, achieving impressive scores not through genuine medical knowledge but by exploiting ...

It turns out that when the smartest AI models “think,” they might actually be hosting a heated internal debate. A fascinating new study co-authored by researchers at Google has thrown a wrench into ...

Competitors can now match state-of-the-art systems in weeks, raising fears about distillation and shrinking advantages.

OpenAI researchers say they’ve discovered hidden features inside AI models that correspond to misaligned “personas,” according to new research published by the company on Wednesday. By looking at an ...

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 ...

A new study from Arizona State University researchers suggests that the celebrated "Chain-of-Thought" (CoT) reasoning in Large Language Models (LLMs) may be more of a "brittle mirage" than genuine ...

Neuro-symbolic AI is the next major advance. One valuable use is to get AI to conform to laws and policies. I show how this is done in mental health. An AI Insider scoop.