The A-Frame—Awareness, Appreciation, Acceptance, and Accountability—offers a psychologically grounded way to respond to this ...

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 ...

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 ...

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 ...

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 ...

Dynamic logic offers a formal framework to reason about actions, transitions and the evolution of systems over time. It extends classical modal logic by incorporating operators that capture state ...

A team of researchers at UCL and UCLH have identified the key brain regions that are essential for logical thinking and problem solving. The findings, published in Brain, help to increase our ...

Justification logic extends traditional modal frameworks by introducing explicit representations of evidential support, thereby refining our understanding of epistemic reasoning. In contrast to ...