person
Rohin Shah
Alignment researcher at Google DeepMind
Author of the Alignment Newsletter (2018–2022) and now a DeepMind alignment researcher. Provides measured, inside-view assessments that sit between Yudkowskian pessimism and LeCunian dismissal.
Profile
expertise
Deep technical
Sustained peer-reviewed contribution to ML, alignment, interpretability, or safety techniques. Could review a frontier paper.
Google DeepMind alignment lead. Author of Alignment Newsletter. Long publication record on inverse reward design, scalable oversight.
recognition
Established
Reliable, recognised voice within their specific subfield. Cited and invited but not central to general AI discourse.
Recognised inside AI safety; lower public profile.
vintage
Deep-learning rise
Came up post-AlexNet. ImageNet, AlphaGo, transformer paper. DeepMind, Google Brain, FAIR establish the modern lab template.
PhD UC Berkeley CHAI; Alignment Newsletter 2018. Career bridges deep-learning into scaling era.
Hand-classified. See the board for the criteria and the full grid.
Strategy positions
Alignment firstendorses
Solve technical alignment before capability thresholds closeWorks on mechanistic interpretability, scalable oversight, and specification research within a frontier lab.
I think it's more likely than not that we can develop useful AI systems that are meaningfully aligned, but I'd place substantial probability on catastrophic outcomes.
Closest strategy neighbours
by jaccard overlapOther people whose strategy tags overlap with Rohin Shah's. Overlap is on tag identity, not stance; opposites can show up if they reference the same tags.
Record last updated 2026-04-24.