
Michal Kosinski
@michalkosinski
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Professor at Stanford. Computational psychologist. Studying psychology of AI.
Stanford
Joined June 2009
Excited to share that my chapter on “Using Big Data” is out now in the brand-new, open-access 6th edition of The Handbook of Social Psychology! Proud to be part of this landmark resource, now open-access—free to read, download, and share:
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It was a pleasure to talk with Sebastian Matyniaka about AI empathy and the psychological implications of machines that can understand human emotions.
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RT @gracjan_goral: can’t stop thinking: how do vlms see from someone else’s POV? . with @ZiarkoAlicja @maciejwolczyk @PiotrRMilos @mic_nau….
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Has AGI already arrived—without us noticing?. That’s the question I posed at this year’s Brazil at Silicon Valley conference, where I had the honor of delivering the opening keynote, "Making Sense of Modern AI.". We explored the growing power of language models like GPT-4. These
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RT @xyz_oficjalnie: 🗣️ "Dziś człowiek tworzy środowiska, w których sztuczna inteligencja sama się rozwija, sama się uczy rozwiązywać proble….
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Can AI predict your personality? Your political beliefs? Even your deepest secrets?. A few years ago, I published research showing that artificial intelligence could infer personal traits just from digital footprints—without us ever realizing it. Now, AI is evolving even faster,.
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RT @tygodnik: „Nie ma człowieka, który potrafiłby równocześnie pisać poezję, programować i rozmawiać w 200 językach. ” – Michał Kosiński (….
tygodnikpowszechny.pl
Michał Kosiński, psycholog i badacz sztucznej inteligencji: Wciąż mamy poetów, programistów czy tłumaczy lepszych niż model językowy. Ale nie ma żadnego człowieka, który równocześnie potrafiłby pisać...
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My latest book chapter, "Collecting Digital Footprints in the Wild," has been published in the Handbook of Research Methods in Social and Personality Psychology. People leave behind a wealth of information: images, videos, mobile sensor data, text, and logs of their digital.
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My recent PNAS paper on Theory of Mind (ToM) in LLMs ( was featured in PsyPost. Our results suggest that ToM-like ability, once thought uniquely human, may have spontaneously emerged in LLMs. As humans use ToM when crafting their language, models trained.
pnas.org
Eleven large language models (LLMs) were assessed using 40 bespoke false-belief tasks, considered a gold standard in testing theory of mind (ToM) i...
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My talk on the Psychology of AI (Michal Kosinski) | DLD25
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I joined @sandracmatz and @renemottus on the Personality Psychology Podcast to discuss personality in the era of Artificial Intelligence. From digital traces to AI’s impact on society, we live in exciting times. Tune in here: . #AI #DigitalFootprints.
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RT @AndZyberto: Prof. @michalkosinski - "Od setek lat straszymy się w powieściach czy filmach, że przylecą kosmici z supertechnologią i nas….
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RT @PePsyPodcast: A new year, a new episode! 🎉. @renemottus spoke with @sandracmatz and @michalkosinski about the use of our digital footpr….
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🎯 Let's meet at #HTSummit2024!. 🌟 I am thrilled to be a member of the Scientific Committee for the HumanTech Summit 2024, which will take place on December 7-8, 2024, at SWPS University. 🌟. 📢 What does this mean?. Over the past few months, we’ve been reviewing and analyzing
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RT @GrzeJasinski: O związanych z AI wielkich nadziejach (na krótką metę) i poważnych obawach (w dalszej perspektywie) mówi @RMF24pl @michal….
rmf24.pl
"W krótkiej perspektywie jestem wielkim optymistą. Te modele językowe pozwolą nam wyrównać szanse edukacyjne, pozwolą nam zmniejszyć biedę, zrewolucjonizować naukę i medycynę. Ale w długim przedziale...
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RT @StanfordGSB: Large language models like #ChatGPT move fast by default. But as Associate Professor @michalkosinski finds, #artificialint….
gsb.stanford.edu
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RT @StevenLevy: A Stanford research psychologist just published a paper that provides evidence of an emerging powers of AI--that might one….
wired.com
Or so says a controversial Stanford researcher, who finds that the latest systems have, against all odds, mastered a high-level cognitive skill.
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"Language Models" is a misnomer. To predict the next word in a sentence crafted by a thinking, feeling person, AI needs to model more than just language—grammar and word meanings. It has to account for thoughts, emotions, personality, and other psychological processes that shape.
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RT @aipulserx: Can AI systems actually understand and predict what others are thinking - do they have Theory of Mind (ToM) like humans do?….
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