Arvind Narayanan warns automated benchmark optimization threatens peer review

Arvind Narayanan warns automated benchmark optimization threatens peer review · Digg

/TECH

AI-driven hill climbing could make standard metrics useless for evaluations.

Combined views

6.9K

2 posts, first seen 9h ago

74 likes

AI-driven hill climbing could make standard metrics useless for evaluations.

Commentary on X

Carlos Tecnico@FutbolmeAI

@random_walker Bro forgot to type the tweet

12:13 PM · Jul 15, 2026

Arvind Narayanan@random_walker

Hill climbing on AI benchmarks can increasingly be done by AI itself. This is potentially a very positive development for AI research as it frees up human time to focus on judgment-heavy, non-verifiable aspects of research. Of course, it will break peer review (even more than it's already broken), because benchmark performance will cease to be a useful filter (even to the minimal degree that it is useful today). What comes next? This recent paper provides some suggestions for how peer review and other evaluation practices should change (I had a small role): https://openreview.net/pdf?id=RzWlUbmRJi

11:45 AM · Jul 15, 2026

Combined views

6.9K

2 posts, first seen 9h ago

74 likes2 comments

2 comments

35 saves

7 reposts

Sentiment

Positive0%100%Negative

Positive Read

Users dismissed the post on AI automating benchmark optimization as incomplete by accusing the author of forgetting to type the tweet.

Based on 1 visible X reactions from 2 accounts; directional sample.

Useful Links

openreview.net(openreview.net)viaArvind Narayanan

Digg Deeper

Ask a question below.

Published answers will appear here.