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.

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 ...

Open Source AI agents can handle email and financial analysis using tools like Olama and NA10, helping teams automate routine tasks.

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 ...

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 ...

People getting peeved with generative artificial intelligence (GenAI) did not go unnoticed by dictionaries in 2025. A couple named their word of 2025 ‘slop’ or ‘AI slop,’ defined as low-quality ...

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).

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The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world. Tesla’s viral videos show its Optimus humanoid robot serving ...

Meta Superintelligence Labs team was formed last year CTO says new models 'very good' Company had faced criticism over performance of Llama 4 model DAVOS, Switzerland, Jan 21 (Reuters) - Meta ...

Meta has hired a highly influential OpenAI researcher, Trapit Bansal, to work on its AI reasoning models under the company’s new AI superintelligence unit, a person familiar with the matter tells ...