Minds.
Positions documented with sources
The researchers and thinkers deciding what intelligence becomes. What they actually argue, what the evidence says, and where they have been right.
Geoffrey Hinton, Professor emeritus, University of Toronto.
Geoffrey Hinton: The godfather of deep learning who walked out to warn us
Deep learning pioneer turned leading risk witness
Yann LeCun, Executive chairman of AMI Labs, professor at NYU.
Yann LeCun: The deep learning pioneer who walked away from the LLM race
ConvNet inventor betting against the LLM consensus
Yoshua Bengio, Co-president and scientific director of LawZero, professor at Université de Montréal.
Yoshua Bengio: The godfather of deep learning who now wants to contain it
Deep learning pioneer who became safety's leading scientist
Demis Hassabis, Chief scientist of Alphabet, chair and co-founder of Google DeepMind.
Demis Hassabis: The case that AI's real test is science, not chatbots
AlphaGo, AlphaFold, and a Nobel Prize for scientific AI
Dario Amodei, Co-founder and CEO of Anthropic.
Dario Amodei: The physicist who bet the lab on the curve
Scaling laws and the safety-first frontier lab
Fei-Fei Li, Stanford professor, co-director of Stanford HAI, CEO of World Labs.
Fei-Fei Li: The data pioneer who thinks language is not enough
Creating ImageNet and championing human-centered AI
Andrej Karpathy, Founder of Eureka Labs.
Andrej Karpathy: The engineer who named the paradigm shifts
The field's educator, Software 2.0 and 3.0, nanoGPT
François Chollet, Co-founder of Ndea and the ARC Prize Foundation.
François Chollet: The engineer who made intelligence a measurable question
Keras creator who redefined how we measure machine intelligence
Gary Marcus, Cognitive scientist, NYU professor emeritus.
Gary Marcus: The skeptic the industry keeps proving right
The field's most persistent internal critic
Kate Crawford, Senior Principal Researcher at Microsoft Research, professor at USC Annenberg.
Kate Crawford: The scholar who redrew AI as a map of mines, labor, and power
Mapping the material and labor costs of AI systems
Why portraits
Claims about intelligence come from people, and people have records. Each portrait sets out what the person argues, what the evidence says, and where they have been right, with sources at the foot of the page.
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