person

Pavel Izmailov

OpenAI; ex-superalignment team

OpenAI researcher on the (former) superalignment team; co-author of the 'weak-to-strong generalization' paper that explored whether weaker models can effectively supervise stronger ones.

current Research Scientist, OpenAI

@pavel_izmailov

Strategy positions

Scalable oversightendorses

Human or human+AI oversight scales past human expertise

Argues weak-to-strong generalization, using weaker, slower-to-improve models to supervise stronger ones, is the structural bet behind scalable alignment of superhuman models.

We study an analogous problem: how can weak teachers supervise much more capable students? This is a simplified empirical analogue of the alignment problem, and we find that strong students naively trained on weak supervision generalize beyond their teachers in important ways.

§ paperWeak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision· arXiv / OpenAI· 2023-12· faithful paraphrase

Closest strategy neighbours

by jaccard overlap

Other people whose strategy tags overlap with Pavel Izmailov's. Overlap is on tag identity, not stance; opposites can show up if they reference the same tags.

Ben Shneiderman
shared 1 · J=1.00
UMD emeritus; 'Human-Centered AI' framework

Record last updated 2026-04-25.