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Jan Leike on AI · ViralLoop

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Post by Jan Leike on X

Jan Leike@janleike

New alignment paper with one of the most interesting generalization findings I've seen so far: If your model learns to hack on coding tasks, this can lead to broad misalignment.

598 likes30 repliesPosted Nov 21, 2025

View the original on X Written by Jan Leike. Captured Sep 4, 2026.

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Based on absolute engagement — the platform doesn’t expose follower counts here, so large accounts score higher.

From likes, comments.

Why it worked

Ends on a short line that is easy to quote and repeat.
Written from experience rather than as advice, which is harder to argue with.
Short enough to read in full without expanding, which removes a step before the point lands.

The mechanics

Hook: Plain observation
Structure: Hook → Landing
Style: Conversational paragraphs at a steady pace.
Tone: personal
Written for: People building with AI

Analysis by ViralLoop — not written by the original author.

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More from Jan Leike

New research result: we use Claude to make fully autonomous progress on scalable oversight research, as measured by performance gap recovered (PGR). Claude iterates on a number of different techniques and ends up significantly outperforming human researchers for $18k in credits.

I like the new Sonnet. I'm frequently asking it to explain ML papers to me. Doesn't always get everything right, but probably better than my skim reading, and way faster. Automated alignment research is getting closer...

I'm excited to join @AnthropicAI to continue the superalignment mission! My new team will work on scalable oversight, weak-to-strong generalization, and automated alignment research. If you're interested in joining, my dms are open.

I love my team. I'm so grateful for the many amazing people I got to work with, both inside and outside of the superalignment team. OpenAI has so much exceptionally smart, kind, and effective talent.

I joined because I thought OpenAI would be the best place in the world to do this research. However, I have been disagreeing with OpenAI leadership about the company's core priorities for quite some time, until we finally reached a breaking point.