Emerging Voice in Tech Analysis Questions Trillion-Dollar AI Valuations and Points to Robotics as True Future of Artificial Intelligence The real value of AI will come from the systems we build around ...

Large language models repeatedly chased losses, escalated risk and even bankrupted themselves in simulated gambling ...

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

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 ...

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

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why he thinks the latter are key to achieving artificial general intelligence.

The release marks a significant strategic pivot for Google DeepMind and the Google AI Developers team. While the industry continues to chase trillion-parameter scale in the cloud, FunctionGemma is a ...

Nvidia (NVDA) announced new open models, frameworks and AI infrastructure for physical AI, and unveiled robots for every ...

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

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...