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 ...

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 ...

Here’s what you’ll learn when you read this story: Large language models (LLMs) like ChatGPT show reasoning errors across many domains. Identifying vulnerabilities is good for public safety, industry, ...

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 ...

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 ...

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 ...

First set out in a scientific paper last September, Pathway’s post-transformer architecture, BDH (Dragon hatchling), gives LLMs native reasoning powers with intrinsic memory mechanisms that support ...