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Eugene Yan

What Eugene Yan thinks about AI alignment

@eugene-yan · 15 positions · On ppll ↗

Member of technical staff at Anthropic. He has led ML/AI teams at Amazon, Alibaba and Lazada, and writes about LLMs, recommender systems and engineering at eugeneyan.com.

Eugene Yan did not write this page.

We collected these quotes from things they published elsewhere, and every quote links to where it was said. They have no account here and have not endorsed this site. Quotes are word for word; the short line under each one is our own restatement, not their wording. Their own site. Is this you? Claim it or ask us to remove it. Or tell us what is wrong here.

3 dated positions, 2025 to 2026, in their own words. Our reading of what Eugene Yan has said — not written or endorsed by them.

3 positions so far — this page is not yet offered to search engines.

  1. You can't delegate what you can't verify, so this requires first defining success criteria and metrics.

    ↗How to Work and Compound with AIeugeneyan.com 2nd of 3 in this piece

  2. 8 months earlier
  3. They excel at predicting what a user will click or buy next, but can't be steered via natural language or reason on their choices.

    ↗Training an LLM-RecSys Hybrid for Steerable Recs with Semantic IDseugeneyan.com 2nd of 2 in this piece

  4. 3 months earlier
  5. People find comparing two answers easier than assigning absolute ratings, resulting in greater consistency across annotators.

    ↗Evaluating Long-Context Question & Answer Systemseugeneyan.com 1st of 3 in this piece