Oversight Assistants: Turning Compute into Understanding

·Bounded Regret··

Currently, we primarily oversee AI with human supervision and human-run experiments, possibly augmented by off-the-shelf AI assistants like ChatGPT or Claude. At training time, we run RLHF, where humans (and/or chat assistants) label behaviors with whether they are good or not. Afterwards, human researchers do additional testing to surface and evaluate unwanted behaviors, possibly assisted by a scaffolded chat agent. The problem with primarily human-driven oversight is that it is not scalable: a...

Read full article →

Related Articles

OpenAI’s o1 correctly diagnosed 67% of ER patients vs. 50-55% by triage doctors
donsupreme · Hacker News · 2mo ago
Accelerating Gemma 4: faster inference with multi-token prediction drafters
amrrs · Hacker News · 2mo ago
A couple million lines of Haskell: Production engineering at Mercury
unignorant · Hacker News · 2mo ago
Show HN: I trained a language model that thinks the capital of Japan is Paris
farisallafi · Hacker News · 9h ago
Using “underdrawings” for accurate text and numbers
samcollins · Hacker News · 2mo ago