Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

But they have also burned through cash at “Towering Inferno” rates, as they spend on the chips and cloud computing needed to ...

Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention. Ever-more ...

In the late 1970s, a Princeton undergraduate named John Aristotle Phillips made headlines by designing an atomic bomb using only publicly available sources for his junior year research project. His ...

Move over large language models — the new frontier in AI is world models that can understand and simulate reality. Why it matters: Models that can navigate the way the world works are key to creating ...

If you are searching for ways to run the larger language models with billions of parameters you might be interested in a method that utilizes Mac computers in clusters. Running large AI models, such ...

Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is mostly due to a research article published by Apple, "The Illusion of ...