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AI pioneer pulls in a cool billion to launch his “world model” AI company
Yann LeCun, one of the pioneers of AI and Meta’s former chief AI scientist, has long argued that large language models alone will not produce AI systems that outperform humans at most tasks. LeCun says today’s transformer-based large language models are useful enough to be applied in valuable ways, but he also believes they are unlikely to achieve the general or human-level intelligence needed to perform many high-value tasks now reserved for human brains. He has found no shortage of AI commentators on X who disagree with him. Now he and his investors are placing a big bet that he’s right.
LeCun’s new company, Advanced Machine Intelligence (AMI), says its “building a new breed of AI systems that understand the world, have persistent memory, can reason and plan, and are controllable and safe.” The company said Wednesday that it raised a $1.03 billion funding round from a group of investors including Cathay Innovation, Greycroft, Hiro Capital, HV Capital, and Bezos Expeditions. Former Google CEO Eric Schmidt and Tim Berners-Lee, who invented the World Wide Web, also threw in.
AMI is likely to build models, or systems of models, that can train on a wider variety of data than today’s LLMs. LeCun believes that AI systems need more than an understanding of words to truly understand and navigate the real world. They need to model the world in a very different way–one that starts with an ability to represent spatial data and develop a native understanding of physics. The AI would also need a very different architecture to structure all that high-bandwidth data. LeCun is in good company in this view: World Labs CEO Fei-Fei Li and UC Berkeley robotics lab director Pieter Abbeel are among those researching and building world models.)
Even during his tenure at Meta, LeCun was working on (and writing papers about) these concepts. Now he’ll need to attract enough top research talent to flesh out those theories and build the models. Since LeCun is something like royalty in AI circles, I suspect he’ll attract the people he needs to take a good shot at functioning world models.
A week after launch, OpenAI’s GPT-5.4 is getting good reviews
Generative models continue to improve, and the cadence of those improvements appears to be accelerating. Most recently, OpenAI released its newest model, GPT-5.4, which it says combines advances in reasoning, coding, and agentic workflows.
Now that ChatGPT users and software developers have had a chance to try the model, some themes are emerging about its strengths and weaknesses relative to other frontier systems. My impression is that the reception has been mixed, based on comments from users, developers, and researchers on X. Many say the model is more project-oriented, meaning it is better able to understand and orchestrate general information work tasks, including those involving autonomous agents. On the other hand, some critics say GPT-5.4 is not a big enough leap forward in intelligence. Others argue the model is less adept at creative tasks, such as user interface design, than earlier GPT models.
