person
Ben Recht
UC Berkeley professor; ML reproducibility critic
Berkeley CS professor whose blog and papers have been a leading voice for reproducibility and rigor in ML benchmarking. Argues much of ML research has weak empirical foundations.
current Professor of EECS and Statistics, UC Berkeley
Strategy positions
AI skepticmixed
AGI risk narratives overstated; real harms are mundane and currentArgues much ML research has reproducibility issues; capability claims should be checked rigorously before policy is built on them.
If we cannot reproduce the result, we cannot build policy on it.
Closest strategy neighbours
by jaccard overlapOther people whose strategy tags overlap with Ben Recht's. Overlap is on tag identity, not stance; opposites can show up if they reference the same tags.
Record last updated 2026-04-25.