Safety
However, most alignment research is not very crisp and requires research taste when evaluating. This is why we chose to point the AAR at thi…
However, most alignment research is not very crisp and requires research taste when evaluating. This is why we chose to point the AAR at this scalable oversight problem! Progress would let AARs work o
However, most alignment research is not very crisp and requires research taste when evaluating. This is why we chose to point the AAR at this scalable oversight problem! Progress would let AARs work on fuzzier alignment problems, where humans can only provide weak supervision.
Related
- Anthropic details using AI agents to accelerate alignment research on 'weak-to-strong supervision', where a weak model supervises the training of a stronger one (Anthropic)
- Awesome work by @jiaxinwen22, @liangqiu_1994, Joe Benton, and @janhkirchner! For more details, check out the blog post 👇 https://anthropic.…
- AI Organizations are More Effective but Less Aligned than Individual Agents
- Limits of Difficulty Scaling: Hard Samples Yield Diminishing Returns in GRPO-Tuned SLMs
Source: Jan Leike (X) | 2026-04-14