Mark Stevenson has previously received funding from Google. The arrival of AI systems called large language models (LLMs), like OpenAI’s ChatGPT chatbot, has been heralded as the start of a new ...

Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three ...

PrismML's approach is based on work done by Caltech electrical engineering professor Babak Hassibi and colleagues. The ...

PrismML, a pioneer in high-performance AI models, today emerged from stealth to introduce the world's first commercially viable 1-bit large language models, built on groundbreaking research developed ...

The unpredictability of AI could lead to a future where humans lose control over AI systems. Neural networks differ ...

Language isn’t always necessary. While it certainly helps in getting across certain ideas, some neuroscientists have argued that many forms of human thought and reasoning don’t require the medium of ...

Large language model AIs might seem smart on a surface level but they struggle to actually understand the real world and model it accurately, a new study finds. When you purchase through links on our ...

The original version of this story appeared in Quanta Magazine. Large language models work well because they’re so large. The latest models from OpenAI, Meta, and DeepSeek use hundreds of billions of ...

A hunk of material bustles with electrons, one tickling another as they bop around. Quantifying how one particle jostles others in that scrum is so complicated that, beginning in the 1990s, physicists ...

Large language models represent text using tokens, each of which is a few characters. Short words are represented by a single token (like “the” or “it”), whereas larger words may be represented by ...