person
Sara Hooker
Former Cohere VP of Research; 'Hardware Lottery' author
Machine learning researcher who has built a reputation as a measured critic of 'scale is all you need' AI framings. Argues compute-threshold regulation is misguided and that efficiency research matters more.
Profile
expertise
Deep technical
Sustained peer-reviewed contribution to ML, alignment, interpretability, or safety techniques. Could review a frontier paper.
Founder of Adaption Labs; former head of Cohere For AI. Active publisher on hardware lottery, sparsity, multilingual evaluation.
recognition
Field-leading
Widely known inside the AI and AI-safety community. Appears repeatedly in top venues, podcasts, or governance forums. Not a household name to outsiders.
TIME100 AI 2023. Recognised in ML research and AI-policy circles.
vintage
Scaling era
Worldview formed during GPT-2/3, scaling laws, Anthropic's founding. Pre-ChatGPT but post-deep-learning. The 'scale is all you need' debate is live.
Hardware Lottery paper 2020. Cohere For AI 2022. Career anchors in scaling-era applied research.
Hand-classified. See the board for the criteria and the full grid.
Strategy positions
AI skepticmixed
AGI risk narratives overstated; real harms are mundane and currentArgues compute-threshold governance and scale-focused framings obscure the actual research drivers of capability.
Ideas in AI often succeed or fail based on whether they happen to fit existing hardware, rather than their inherent merit.
Compute thresholds as a governance strategy have serious limitations and may miss the risks they were meant to catch.
Closest strategy neighbours
by jaccard overlapOther people whose strategy tags overlap with Sara Hooker's. Overlap is on tag identity, not stance; opposites can show up if they reference the same tags.
Record last updated 2026-04-24.