Are we making AI too human?, with James Evans Data scientist explains how we are limiting models like ChatGPT in training them—and how that’s narrowing research

Awesome discussion/podcast with the BigBrains team at UChicago about the future of AI (over two sessions!)--
news.uchicago.edu/big-brains-p...

Google Is Winning on Every AI Front Neither OpenAI nor Anthropic have a chance at this point

Kudos to Google. Gemini 2.5 Pro tops the latest leaderboard.

www.thealgorithmicbridge.com/p/google-is-...

Analysis of 7,973 psychologists demonstrates these divides. Scientific consensus isn't just about data—our cognitive architectures filter how we process evidence, bolstering persistent divides that resist resolution. #ScienceofScience #CognitiveScience #Conflict #Confusion #CollectiveIntelligence

For example, tolerance for ambiguity predicts a preference for context-rich explanations and discomfort with the cognition-as-computer analogy. Cognitive traits and dispositions shape the research questions scientists pursue and the answers they find compelling, even when facing identical evidence.

Why do scientists disagree? With the amazing @justinsulik.bsky.social, NakWon Rim, Elizabeth Pontikes, and @glupyan.bsky.social , we show in @naturehumbehav.bsky.social how cognitive traits and dispositions align with persistent scientific divides (www.nature.com/articles/s41...).

Large AI models are cultural and social technologies Implications draw on the history of transformative information systems from the past

Read our full article to see how this perspective shifts conversations about AI risks, benefits, and governance: www.science.org/stoken/autho...
#ArtificialIntelligence #AIResearch

This is not a diminutive framing of AI, but an expansive one. These tools construct cultural world models while enabling users to "spin-up" multiple competing perspectives—performing synthesis and sociality in novel ways, reshaping collaboration and institutions.

By viewing AI through this historical lens, we can better anticipate transformation of society, economy & knowledge—just as earlier information technologies did. This reframing matters for how we govern & develop these systems.

Key insight: Today's large AI models function more like cultural & social technologies—akin to writing, print, markets, and bureaucracies—than intelligent agents. They allow humans to access & reorganize accumulated knowledge in novel ways.

Large AI models are cultural and social technologies Implications draw on the history of transformative information systems from the past

New in @ScienceMagazine: "Large AI models are cultural and social technologies". Working with the brilliant @himself.bsky.social, @alisongopnik.bsky.social, and Cosma Shalizi, we offer an alternative to the prevailing narrative about AI models as autonomous agents. www.science.org/stoken/autho...

ICSSI 2025 welcomes submissions on any topic related to the field of science of science and innovation, broadly defined. We seek abstracts from researchers across many disciplines, from academia, government, and the private sector. See topics and details on the website: icssi.org; icssi2025@cbs.dk

Date: June 16–18, 2025
Location: Copenhagen Business School, Copenhagen, Denmark
Travel support available for early career researchers. More information at icssi.org

Dates
Submission Deadline: March 21, 2025 (23:59, AoE timezone)
Notification of acceptance: April 7, 2025

Come to the 4th International Conference on the Science of Science and Innovation in Copenhagen, June 16-18 ('25). ICSSI explores the dynamics of scientific research and innovation, featuring science and technology policy environments, opportunities, and challenges in Europe and around the world.