1 in 10 Americans now get news from AI chatbots. When @Stanford researchers tested them with 2,100 real news questions, they found that the chatbots can get facts wrong in invisible ways. Here's what they discovered: https://
hai.stanford.edu/news/reading-t
odays-headlines-through-ai-a-real-time-audit-of-six-commercial-chatbots
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@stanfordhai
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AI chatbots give invisible wrong facts in news, Stanford study finds
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Stanford HAI and d.school program for human-centered AI integration
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Are you part of an organization seeking to integrate AI? This fall, @StanfordHAI and @stanforddschool are offering an educational program to help you develop AI solutions that are not just technologically advanced, but deeply human. Move from AI experimentation to strategic
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2026 Physics and AI Conference: ML for Discovery, Physics Principles for AI
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Physics presents distinctive AI problems that go beyond computer vision or NLP applications. How can ML accelerate discovery, and which physics principles can improve AI? Explore these and more at the 2026 Conference on Physics and AI next week: https://
datascience.stanford.edu/events/center-
decoding-universe/c4du-annual-conference/2026-conference-physics-and-ai-pai26
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Making AI trustworthy for genuine scientific discovery
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How do we make AI trustworthy enough for genuine scientific discovery? @Stanford and @SLAClab Associate Professor Ben Nachman – who is also the co-director for the Center for Decoding the Universe – shares his insights from the AI+Science conference ↘️ pic.twitter.com/2t4GlkIjPM
— Stanford HAI (@StanfordHAI) 5 juin 2026How do we make AI trustworthy enough for genuine scientific discovery? @Stanford and @SLAClab Associate Professor Ben Nachman – who is also the co-director for the Center for Decoding the Universe – shares his insights from the AI+Science conference
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Stanford study: Two AI coding agents perform 50% worse than one alone
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A new Stanford study found that when two AI coding agents collaborate on a task, they perform nearly 50% worse than one agent working alone. The bottleneck isn't what you'd expect:
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Paper2Agent: AI Authors for Interactive Research Papers
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For 500 years, knowledge has existed in static papers. @StanfordHAI Faculty Affiliate @james_y_zou asked at the AI+Science conference: What if every paper had an AI author you could ask questions and apply methods directly? Here, he introduces Paper2Agent: pic.twitter.com/8ROL4gkMqU
— Stanford HAI (@StanfordHAI) 4 juin 2026For 500 years, knowledge has existed in static papers. @StanfordHAI Faculty Affiliate @james_y_zou asked at the AI+Science conference: What if every paper had an AI author you could ask questions and apply methods directly? Here, he introduces Paper2Agent:
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World models vs language models: Fei-Fei Li’s taxonomy
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Language models gave AI the ability to talk about the world. World models will give AI the ability to understand it. But “world model” is an overloaded term. What does it mean? HAI Founding Director @drfeifei offers the taxonomy that matters now. https://
brnw.ch/21x36eY -
AI Reshaping Life Sciences: Designing Proteins and Decoding Brain
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At the AI+Science conference, @StanfordHAI Associate Director and Senior Fellow @RBAltman moderated a panel that explored how AI is reshaping the life sciences — from designing novel proteins to decoding the brain's computational architecture. Catch his key insight from the panel… pic.twitter.com/Byr0YNrk4M
— Stanford HAI (@StanfordHAI) 3 juin 2026At the AI+Science conference, @StanfordHAI Associate Director and Senior Fellow @RBAltman moderated a panel that explored how AI is reshaping the life sciences — from designing novel proteins to decoding the brain's computational architecture. Catch his key insight from the panel
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AI Index 2026 Report Reveals Need for Evolving Benchmarks
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In a recent seminar, AI Index Lead Sha Sajadieh unveils key findings from the #AIIndex2026 Report, @StanfordHAI's most trusted source for unbiased AI intelligence now in its ninth year. AI Index Steering Committee Co-chair @RayPerrault explains why AI benchmarks need to evolve,… pic.twitter.com/hgNLkYdYNY
— Stanford HAI (@StanfordHAI) 2 juin 2026In a recent seminar, AI Index Lead Sha Sajadieh unveils key findings from the #AIIndex2026 Report, @StanfordHAI
's most trusted source for unbiased AI intelligence now in its ninth year. AI Index Steering Committee Co-chair @RayPerrault explains why AI benchmarks need to evolve, -
RAISE Health Symposium Charts Responsible AI Path in Biomedicine
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AI in biomedicine is accelerating faster than our safeguards. The 2026 RAISE Health Symposium, co-organized by @StanfordMed & @StanfordHAI
, brings together tech leaders, physicians, and policymakers to chart a responsible path forward. Join us next week: https://
med.stanford.edu/raisehealth/ev
ents/healthaiweek/2026symposium.html
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