An ongoing trend in artificial intelligence could have huge implications for how the technology is used in research. Some researchers, including the computer scientist and AI pioneer Yann LeCun, who ...

While large language models (LLMs) have mastered text (and other modalities to some extent), they lack the physical "common sense" to operate in dynamic, real-world environments. This has limited the ...

You're currently following this author! Want to unfollow? Unsubscribe via the link in your email. As OpenAI, Anthropic, and Big Tech invest billions in developing state-of-the-art large language ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world. Barbara is a tech writer specializing in AI and emerging technologies. With a ...

Waymo vehicles have reportedly racked up more than 200 million miles of autonomous driving on public roads. But it’s yet to run into a tornado or an elephant, and odds are that it’d respond poorly if ...

Katelyn is a reporter with CNET covering artificial intelligence, including chatbots, image and video generators. Her work explores how new AI technology is infiltrating our lives, shaping the content ...

The race to release world models is on as AI image and video generation company Runway joins an increasing number of startups and Big Tech companies by launching its first one. Dubbed GWM-1, the model ...

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While no one has figured out how to make money from generative artificial intelligence, that hasn’t stopped Google DeepMind from pushing the boundaries of what’s possible with a big pile of inference.

Demis Hassabis, Google Deepmind CEO, just told the AI world that ChatGPT’s path needs a world model. OpenAI and Google and XAI and Anthropic are all using the LLM (Large Language Model Approach).