Today’s AI is still unreliable. Some researchers think solving that problem requires teaching AI systems to understand the world around them. AI systems have already gained impressive mastery over the ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I identify how the use of world models is ...

Forbes contributors publish independent expert analyses and insights. Entrepreneur and technologist in AI and AI Literacy. This voice experience is generated by AI. Learn more. This voice experience ...

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 ...

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 ...

Top AI researchers like Fei-Fei Li and Yann LeCun are thinking about AI beyond LLMs. At World Labs, Li is focused on building world models. LeCun is building them at his new startup. World models ...

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 ...

They are the people who made artificial intelligence what it is. They built the datasets, designed the architecture, and trained the systems that now write our emails, generate our code, and pass the ...

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).

Instead of just predicting words, world models actually learn how the physical world works, which is the "common sense" AI needs to finally reach AGI. To many people, AI manifests one of sci-fi’s ...