Apple's AI research team has uncovered significant weaknesses in the reasoning abilities of large language models, according to a newly published study. The study, published on arXiv, outlines Apple's ...

Have you ever been impressed by how AI models like ChatGPT or GPT-4 seem to “understand” complex problems and provide logical answers? It’s easy to assume these systems are capable of genuine ...

For a while now, companies like OpenAI and Google have been touting advanced “reasoning” capabilities as the next big step in their latest artificial intelligence models. Now, though, a new study from ...

Higher cognitive ability in adults typically predicts accurate gut instincts, but this mental shortcut takes time to develop.

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...

Large Language Models (LLMs) may not be as smart as they seem, according to a study from Apple researchers. LLMs from OpenAI, Google, Meta, and others have been touted for their impressive reasoning ...

Bottom line: More and more AI companies say their models can reason. Two recent studies say otherwise. When asked to show their logic, most models flub the task – proving they're not reasoning so much ...

In a new study, Redwood Research, a research lab for AI alignment, has unveiled that large language models (LLMs) can master "encoded reasoning," a form of steganography. This intriguing phenomenon ...