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 ...

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

Scientists warn that current AI tests reward polite responses rather than real moral reasoning in large language models.

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

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

A preprint paper submitted to arXiv on Jan. 22, 2026, ranks common chickens higher than leading AI systems on a new consciousness scoring framework, placing the humble barnyard bird above models like ...

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 ...

AI is often framed as a technology or meme that inflates aspiration into valuation. Both can be useful, but miss something important unfolding in the world right now. Something that could be better ...