SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution — mentioned by sestinj

Thu, 27 Mar 2025 18:51:37 GMT

I hear this often (I had the same gut reaction before thinking below the surface) and will share why I think that our bet is perfectly aligned with the Bitter Lesson being true 1. The Bitter Lesson extends to test-time compute (some call this the "Bitter-er Lesson" https://yellow-apartment-148.notion.site/AI-Search-The-Bitte...), and we've bet that agentic LLMs will become a major transformation in how software is built. Agent mode (https://docs.continue.dev/agent/how-to-use-it) is here to stay. This means that models are going to take very extended action for you. It could be 1, 15, 60, or…

Paper and discussion history. A mention is not an endorsement.

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution · HackerPapers discussions

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution — mentioned by sestinj