U.S. policymakers must tackle both problems, as noted by the authors in last year’s policy brief published by @HooverInst
’s Technology Policy Accelerator and @StanfordHAI
. (4/4) Read their recommendations here: https://
hai.stanford.edu/policy/policy-
implications-of-deepseek-ai-talent-base
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@stanfordhai
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Policy brief on DeepSeek AI talent base for U.S. policymakers
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US faces dual AI talent loss to China
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The U.S. faces two distinct talent problems: 1) Chinese AI researchers training in the U.S. are returning to China at high rates; and 2) China’s domestic AI talent pipeline is increasingly contributing to frontier models without any U.S. training. (3/4)
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New data shows US AI talent advantage no longer permanent
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One year after their 1st white paper analyzing DeepSeek’s talent base, HAI senior fellow @AmyZegart and @HooverInst
's Emerson Johnston publish new data that shows even more clearly that the U.S. can no longer assume a permanent AI talent advantage. (2/4) https://
hoover.org/research/updat
e-deepseek-ai-and-the-great-talent-competition
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DeepSeek V4 signals China’s competitive AI research talent pipeline
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When DeepSeek released its V4 model in late April, it received mixed reviews. But when viewed from a talent perspective, it acts as another clear signal that China’s domestically grown AI research pipeline is highly competitive. (1/4)
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Stanford HAI director Fei-Fei Li featured on FastCompany cover explaining world models
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HAI Founding Director @drfeifei is featured on @FastCompany
's cover, explaining "world models" – AI that understand physical space and real-world dynamics. Rooted in human-centered philosophy, she explains what makes it different and what's at stake: -
Angèle Christin: Interdisciplinary debate critical for AI’s future
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At the AI+Science conference, @StanfordHAI Senior Fellow Angèle Christin explains why interdisciplinary debate is critical for AI's future. ↘️ pic.twitter.com/FfhB9v0aW1
— Stanford HAI (@StanfordHAI) 12 juin 2026At the AI+Science conference, @StanfordHAI Senior Fellow Angèle Christin explains why interdisciplinary debate is critical for AI's future.
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New science of intelligence from neurons and AI may treat schizophrenia
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HAI Senior Fellow @SuryaGanguli is building a new science of intelligence by studying how neurons fire and AI learns — work that may have uncovered a neural mechanism with implications for treating schizophrenia.
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AI’s productivity paradox in science and creative solutions
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What happens when AI makes science too productive? @StanfordHAI Senior Fellow @SuryaGanguli talks about creative solutions for addressing AI's productivity paradox. Read more insights from the AI+Science conference: https://t.co/X9kKtL1oKo pic.twitter.com/c0CZL5sYjw
— Stanford HAI (@StanfordHAI) 12 juin 2026What happens when AI makes science too productive? @StanfordHAI Senior Fellow @SuryaGanguli talks about creative solutions for addressing AI's productivity paradox. Read more insights from the AI+Science conference: https://
hai.stanford.edu/news/how-ai-is
-transforming-scientific-discovery-while-keeping-humans-at-the-center
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Researchers restore personality to AI language model outputs
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Large language models trained on millions of authors produce a flattened, agreeable voice. Now researchers have found a way to restore individual personality to AI output, enabling applications from therapy training to personalized education.
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Stanford HAI and AI4MH explore responsible AI for youth mental health
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Last week, @StanfordHAI & AI4MH's 2026 symposium explored responsible AI adoption in mental health. CA Assembly Member @AsmMiaBonta stressed the need to protect youth as they turn to chatbots & other AI tools for mental health challenges. Full session https://
youtube.com/watch?v=KBZJYk
zqT0c
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