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

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

In recent years, we’ve become used to seeing text, pictures, videos and even computer code generated by AI. But what if it could go a step further and create entire worlds? Well, for developers ...

Instead of building yet another LLM, LeCun is focused on something he sees as more broadly applicable. He wants AI to learn ...

Overview Rapid innovation is reshaping the IT landscape - compelling professionals to learn high‑demand skills in cloud ...

Picture a CFO scanning a cash-flow model where one interest rate cell sits off by a single percentage point. The spreadsheet ...

The original version of this story appeared in Quanta Magazine. Here’s a test for infants: Show them a glass of water on a desk. Hide it behind a wooden board. Now move the board toward the glass. If ...

Who controls synthetic publics? Who benefits from their use? And what kind of democratic future is being built in our name?

Its recent launches, public milestones, and high-profile controversies all show how OpenAI is operating from a position of ...

This article will examine the practical pitfalls and limitations observed when engineers use modern coding agents for real enterprise work, addressing the more complex issues around integration, ...

Aider is a “pair-programming” tool that can use various providers as the AI back end, including a locally running instance of ...