person
Sayash Kapoor
Princeton PhD; AI Snake Oil co-author
Princeton computer scientist and co-author with Arvind Narayanan of AI Snake Oil. Argues frontier AI evaluations are often methodologically unsound and that most deployment failure is local and boring.
current PhD candidate, Princeton University
Strategy positions
Evals-drivenmixed
Capability/risk evals gate deployment; evals are the load-bearing artefactPushes for rigor in AI evaluation; critiques common eval methodology as misleading about generalisation.
Leakage and overfitting in AI benchmarks have produced a whole generation of irreproducible capability claims.
Closest strategy neighbours
by jaccard overlapOther people whose strategy tags overlap with Sayash Kapoor's. Overlap is on tag identity, not stance; opposites can show up if they reference the same tags.
Record last updated 2026-04-24.