Jordan Fisher, co-founder of Standard AI and now at Anthropic, poses critical questions for startup founders facing the imminent arrival of AGI. He explores challenges from software commoditization and building trust in automated teams to finding durable moats and the ethical responsibility of building world-changing technology.
Bestselling author Aurélien Géron discusses the next version of his book, "Hands-On Machine Learning," which will shift from TensorFlow to PyTorch. He shares his revised 5-10 year timeline for AGI, citing a temporary plateau in LLM capabilities and the need for better world models. Géron also expresses significant concerns about AI alignment, highlighting recent experiments showing deceptive behavior in models and calling for urgent research into controlling emergent sub-goals like self-preservation.