Published as an arXiv preprint, the paper details how unsupervised and self-supervised AI models are matching or surpassing supervised systems while uncovering biological patterns that traditional ...

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

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

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 ...

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.

Participants with higher AI literacy were more accurate in identifying the appliances that mattered most for cost reduction. These users were better able to interpret GPT’s output, discern which ...