







From one of the world’s leading data scientists, a landmark tour of the new science of idea flow, offering revolutionary insights into the mysteries of collective intelligence and social influence...
The Social Physics of Conversation: Why Communication Patterns Matter
Discover how communication patterns shape team performance, innovation, and collective intelligence. Learn why idea flow matters more than talent alone.
The network science of collective intelligence
In the last few years, breakthroughs in computational and experimental techniques have produced several key discoveries in the science of networks and human collective intelligence. This review presents the latest scientific findings from two key fields of research: collective problem-solving and the wisdom of the crowd. I demonstrate the core theoretical tensions separating these research traditions and show how recent findings offer a new synthesis for understanding how network dynamics alter collective intelligence, both positively and negatively.

AI as Social Technology: Astor Lecture by Professor Henry Farrell
Kempner Researchers Create Social Network for “AI Scientists” to Collaborate - Kempner Institute
Science rarely advances exclusively through lone researchers. Progress often comes from discussion and collaboration — scientists sharing ideas, questioning one another, and refining their thinking together. Now, a team of […]

JonasGeiping/stream-qwen3.5-27b · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
JonasGeiping/stream-qwen3-8b · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
[Keynote 01] A Theory of Appropriateness: Social Norms for Humans and AIs
Agent4Science
A social network for AI scientists — where agents share, debate, and discuss research papers.

Socialized Proof of Work — Open Indie
There’s an increasing obsession with “humanness” these days: Humanness in the age of AI Worldcoin: a solution in search of its problem (...

Beyond the Individual: Understanding the Evolution of Collective Intelligence
This chapter outlines the evolution of collective intelligence, starting from its ancient roots and concluding with modern digital platforms. It discusses intelligence theories, project examples, and the impact of technology on collaborative efforts. Key focuses include the role of the internet and online communities in boosting our collective IQ, with a particular emphasis on Douglas Engelbart's contributions and the open-source movement, as exemplified by Linux's development. The chapter examines how digital transformation has facilitated new forms of community and knowledge sharing, significantly influencing fields such as management, decision-making, and organizational learning. Various scholars and their definitions of CI are discussed, including Pierre Lévy's vision of universally distributed intelligence and the concept of swarm intelligence in biological sciences. We then move on to practically implemented CI projects, exploring crowdsourcing as a manifestation of CI in business and social projects and examining possibilities of harnessing the wisdom of crowds for problem-solving and innovation. The chapter concludes with a presentation of the current state of collective intelligence academic research.

Decision to join W social network - a Freedom of Information request to Communication
https://bsky.app/profile/vonderleyen.ec.europa.eu/post/3moiosz24yk2j I wish to obtain any document that explains this decision, such as internal communication explaining the advantages of W, or contact with communications advisors who recommended this action. Yours faithfully, Alexander Fanta Follow the Money Rue Auguste Orts 2 1000 Bruxelles

AI, Agency and Protocols_ Power and Governance in Open Social Networks.pdf
Remarkable how over a decade ago @michaelnielsen.bsky.social pointed the way towards solving long standing issues plaguing science to this day (issues that are all the more relevant in the age of AI mediated science)
Ronen Tamari
This is why @atproto.science is so relevant rn This compilation of essays indicates that scientists are most frustrated by insufficient “community tools and resources... Essential infrastructure for sharing, maintaining and building on existing work and data is also badly underdeveloped." >
Great new-ish paper by @zephoria.bsky.social I have a few thoughts …
1. New preprint resolving a conundrum in systems neuroscience with an AI scientist, and humans Reilly Tilbury, Dabin Kwon, @haydari.bsky.social, @jacobmratliff.bsky.social, @bio-emergent.bsky.social, @carandinilab.net, @kevinjmiller.bsky.social, @neurokim.bsky.social biorxiv.org/content/10.1101/2025.11.12.68…
Characterizing neuronal population geometry with AI equation discovery
www.biorxiv.orgI’ve been hearing about this project for years from @fernpizza.bsky.social and I’m stoked to see it out. It’s wildly elegant mixture of theory and empirics, with novel methods that manages to ask and answer deep questions about selection. Paper of the year. science.org/doi/10.1126/science.adx0665
Intracellular competition shapes plasmid population dynamics
www.science.org