Real Challenge in Agent Training: Infrastructure, Not Algorithms
tetsuoai · x · 2026-07-04
Berkeley CS294-196 course reveals that the core challenge in training AI agents lies in infrastructure: extremely long rollouts, slow environment responses, tool invocation and API delays, and how to maintain sustained efficient use of training compute under these conditions, rather than algorithms themselves.
More from coding & agent
- 'Let an agent run wild on vague goals and it makes your code worse 9 out of 10 times' — eptwts · 2026-10-27
- LangChain to demo the in-house design agent its team uses daily, this Wednesday — LangChain · 2026-10-27
- Biotech Agent Series Day 8: A Notebook Review Agent to Auto-Audit Lab Records — nlarusstone · 2026-10-27
- Photon Launches Agent-to-Agent Messaging in iMessage for Real AI Collaboration — alvelda · 2026-10-27
- Fake-paper meme shows an agent workflow for reverse engineering trading systems into a one-person quant fund — PtrPomorski · 2026-10-27
- Codex clones Linear's core from a one-page spec in 3 minutes 28 seconds — aakashgupta · 2026-10-27