LLMs have delivered real gains, but their momentum masks an uncomfortable truth: More data, more chips and bigger context windows don’t fix what these systems lack—persistent memory, grounded ...

For centuries, humans have sought ways to sharpen their mental edge, turning to stimulants like caffeine, nootropics, and, more recently, off-label use of prescription medications such as Adderall to ...

Researchers and users of LLMs have long been aware that AI models have a troubling tendency to tell people what they want to hear, even if that means being less accurate. But many reports of this ...

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks. However, CoT still falls short in dealing with complex math word problems, ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. It's easy to forget that beneath the surface of every smart algorithm lies a surprisingly old ...

As large language models (LLMs) continue to improve at coding, the benchmarks used to evaluate their performance are steadily becoming less useful. That's because though many LLMs have similar high ...

The latest large language models have high false-positive rates and fail to take into account the context of scans, leading ...

In the complexity of human cognition, the hippocampus stands as a central player, orchestrating more than just the storage of memories. It is a master of inference—a cognitive ability that allows us ...

As artificial intelligence becomes more advanced, large language models (LLMs) AI systems that can distill waves of data to create meaningful outputs for the user will become the foundation of future ...

This is today's edition of The Download, our weekday newsletter that provides a daily dose of what's going on in the world of technology. Meet the new biologists treating LLMs like aliens How large is ...