person
Jeremy Howard
Co-founder of fast.ai; former Kaggle president
Machine learning educator who founded fast.ai to democratise deep learning. Publicly critical of both AI-doom framing and the closed-weight strategy of frontier labs.
Profile
expertise
Deep technical
Sustained peer-reviewed contribution to ML, alignment, interpretability, or safety techniques. Could review a frontier paper.
Co-founder of fast.ai and Answer.AI. ULMFiT (2018) seeded transfer-learning in NLP. Long teaching record at Kaggle, USF.
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.
fast.ai courses widely used; recurring podcast and conference presence.
vintage
Deep-learning rise
Came up post-AlexNet. ImageNet, AlphaGo, transformer paper. DeepMind, Google Brain, FAIR establish the modern lab template.
fast.ai co-founded 2016. Career is deep-learning era democratisation.
Hand-classified. See the board for the criteria and the full grid.
Strategy positions
Open sourceendorses
Release weights widely; transparency beats closed safetyArgues open-weight AI is necessary for safety, research, and access.
We need open research and open models. The closed-lab approach is a danger to civil society.
Closest strategy neighbours
by jaccard overlapOther people whose strategy tags overlap with Jeremy Howard's. Overlap is on tag identity, not stance; opposites can show up if they reference the same tags.
Record last updated 2026-04-24.