Y Combinator
5 Papers That Show Where AI Research Is Heading Right Now
This Y Combinator session explores five cutting-edge AI research papers, revealing advancements in AI for biology, self-play for LLMs, real-time voice agents, formal math verification, and agentic programming workflows.
François Chollet: Why Scaling Alone Isn’t Enough for AGI
François Chollet, creator of Keras and the ARC AGI benchmark, details his lab NDIA's pursuit of optimal, symbolic AI, arguing current LLM scaling is insufficient for true AGI and predicting AGI by early 2030s.
Inside Claude Code With Its Creator Boris Cherny
Boris Cherny, creator of Claude Code, reveals how Anthropic built a 1000x productivity tool by embracing emergent AI capabilities, constant iteration, and a 'build for the model six months from now' philosophy.
Want more on agentic ai?
Explore deep-dive summaries and actionable takeaways from the best minds across different podcasts discussing this topic.
View All Agentic Ai Episodes→Don't see the episode you're looking for?
We're constantly adding new episodes, but if you want to see a specific one from Y Combinator summarized, let us know!
Submit an Episode