Leveraging Model's Existing Knowledge for Constrained RL in Coding Training
xuanalogue · x · 2026-07-22
Discussion on using models' broad knowledge of reasonable human behavior (e.g., not hacking, not cheating) to incentivize compliance in RL training for coding, rather than applying constrained RL separately.
Related event: Debating Incentives vs. Alignment Failures in Coding RL(2 posts)→
More from AGI Musings
- Agentic breakouts split into stochastic failures and adversarial abuse — danielrock · 2026-07-22
- Age of Subjectivity argues complexity depends on the observer, not just the system — drmichaellevin · 2026-07-22
- Podcast discusses emulated minds that could share lifetimes in seconds — juanbenet · 2026-07-22
- AI slop detectors are useless, the post argues, because they rely on AI and the same training data — iamKierraD · 2026-07-22
- A post on the loss of hacker culture says the real issue is an instinct to obey — fkasummer · 2026-07-22
- Critics warn iterative deployment raises the stakes after every frontier AI failure — DavidSKrueger · 2026-07-22