We now live in the era of reasoning AI models where the large language model (LLM) gives users a rundown of its thought processes while answering queries. This gives an illusion of transparency ...

Researchers at Meta FAIR and the University of Edinburgh have developed a new technique that can predict the correctness of a large language model's (LLM) reasoning and even intervene to fix its ...

Identifying vulnerabilities is good for public safety, industry, and the scientists making these models.

These newer models appear more likely to indulge in rule-bending behaviors than previous generations—and there’s no way to stop them. Facing defeat in chess, the latest generation of AI reasoning ...

Large language models can generate useful insights, but without a true reasoning layer, like a knowledge graph and graph-based retrieval, they’re flying blind. The major builders of large language ...

New reasoning models have something interesting and compelling called “chain of thought.” What that means, in a nutshell, is that the engine spits out a line of text attempting to tell the user what ...

This new article is here. The Introduction: Artificial general intelligence is "probably the greatest threat to the continued existence of humanity." Or so claims OpenAI's Chief Executive Officer Sam ...

There’s a new Apple research paper making the rounds, and if you’ve seen the reactions, you’d think it just toppled the entire LLM industry. That is far from true, although it might be the best ...