Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.

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

The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.

This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...

A new study has shown that prompts in the form of poems confuse AI models like ChatGPT, Gemini and Claude— to the point where ...

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

Z.ai released GLM-4.7 ahead of Christmas, marking the latest iteration of its GLM large language model family. As open-source models move beyond chat-based applications and into production ...

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

In 2026, healthcare will embrace the model context protocol, deploy better documentation tools that boost reimbursement and ...

In a major advancement for AI model evaluation, the Institute of Artificial Intelligence of China Telecom (TeleAI) has ...

Overview: Large language models in 2026 have evolved into multimodal, highly adaptive systems that deliver complex reasoning with real-time learning.Designed to ...

Alexandr Wang, the company’s AI chief, said the new model will debut soon, along with a large language model dubbed Avocado.