The Path to AGI: Inside Poolside’s AI Model Factory for Code with Eiso KantBuilding Human-Level AI for Code: Model Factories, RL at Scale, and Distributed Teams

Chapters.

1. 00:04:28Poolside’s unique approach to foundation models
2. 00:13:02Scaling hardware: 10,000+ H200s and orchestration
3. 00:17:42RL, agents, and the future of developer tools
4. 00:24:56Immutable versioning and evaluation frameworks
5. 00:36:04Distributed team structure and monthly sprints
6. 00:40:26Leadership, decision-making, and low-ego culture
7. 00:45:54Lessons for CTOs: breaking process dogma, preparing for agent-driven orgs
8. 00:50:54The next 3 years: AGI, agent workforces, and the end of manual coding
9. 00:53:44Context window, continual learning, and model memory
10. 00:56:20Everything collapses into the model: product, research, and daily life
11. 00:59:46Advice to a younger self: scale compute, trust RL+LM, and the four-minute mile