Automating subtle emergent misalignment research

·LessWrong··

Authors: Oscar Balcells Obeso, Richard Qi, Monte MacDiarmid, Evan HubingerAbstractRed-teaming by humans is a vital part of model safety testing, but it may struggle to keep up as models improve. To test whether automated safety techniques could scale (which would allow us to turn more compute into progressively more safety confidence), we set up a deliberately one-sided game as a first test. We instructed a Claude model to write training data that would make a small research model misaligned whi...

Read full article →

Related Articles

Postman silently auto-installs AI plugins and attempts to share all API data
sidgarimella · Hacker News · 2h ago
Astra can read and write weights to improve Qwen
dbreunig · Hacker News · 1d ago
Mac at Any Scale
anner_ · Hacker News · 5h ago
OpenAI seems to be silently re-enabling model training on Codex chats
user052919 · Hacker News · 5h ago
Qwen 3.8 27B on my laptop can interpret model weights, too
theanonymousone · Hacker News · 2h ago