My biggest takeaway: PhD students should stop competing with large models; robots + world models are the next battlefield.

In the unsupervised learning podcast, Yang Likun presents a non-mainstream view on the limitations of large language models, explores the path of robotics technology, explains the reasons for leaving Meta, and diverges from Hinton and Bengio on the Turing Award perspectives. He also predicts 2027, introduces the new company AMI's bet on world models, compares OpenAI and Anthropic to Sun Microsystems; and suggests that PhD students stop researching LLMs, sharing insights on AI safety, breakthrough research mechanisms, and the gains and losses of Meta FAIR.