#TopicOfTheDay: #Archives are the cornerstones of memory, knowledge, and accountability. #InternationalArchivesDay Day is celebrated on Jun 9 every year to raise awareness about the importance of archives and the role they play in preserving our history. knowledgezone.co.in/posts/In…

LLMs are not embodied in the same way as humans or plants, but they are not bodiless either. They are distributed infrastructural agents whose “body” includes servers, chips, cooling systems, electricity grids, and data pipelines. They aren't floating free of material reality.

Ted Chiang assumes that #AI does not have a body. But it does. #LLMs are embodied in data centers that have physical presence and very real needs for energy and water. You'd think a science fiction author would be sensitive to other forms of embodiment. theatlantic.com/philosophy/2…

Loving the open-access release of @MITPress's new volume on Dennett’s Real Patterns: direct.mit.edu/books/oa-edit… It's the perfect primer for our forthcoming volume, "Embodied Intelligence" (out June 23rd!). 🧠 Once you explore how data structures and patterns define nature, join us to see how biological and artificial agents use those very architectures to navigate, sense, and act in the world. 🤖6/23/26 mitpress.mit.edu/97802620534… #OpenAccess #MITPress. #EmbodiedIntelligence #CognitiveScience #ActiveInference

It is more likely that SpaceX is building the infrastructure for solar-powered computation in orbit, not electricity export to Earth.

An LLM can identify what the user is asking, track distinctions, maintain the thread of an argument, infer implications, compare alternatives, follow instructions, and produce a coherent answer. That is a form of operational understanding.

That does not mean current AI is conscious, human, or a person. Nor does it mean we should dismiss AI as mere imitation. An LLM is a contextual navigational intelligence: "an intelligent event". Each inference session is a fresh construction of a temporary geometry. 4/5

AI Scientists are starting to actually do science. Not just answer questions. Not just run workflows. Introducing AutoScientists: a decentralized team of AI agents that can generate hypotheses, design experiments, write code, test ideas, analyze failures, and revise strategy as evidence accumulates. Because real research is not a to do list of tasks. It is a living search process. Leads emerge, failures matter, teams form around what works, and priorities shift when evidence changes. Much like how a lab of scientists would work on cutting edge research together. Across GPT training optimization, biomedical ML, and protein fitness prediction, this decentralized structure consistently does better research. Learn more 👇 @GaoShanghua @marinkazitnik @KempnerInst @HarvardDBMI @Harvard

1st UN Global Dialogue on AI Governance, 6-7 July 2026, Geneva. un.org/global-dialogue-ai-go… un.org/global-dialogue-ai-go… @UN @ODET_UN @ITU @UNESCO #MustRead: Governing the Machines. (71 pages) x.com/BetweenMyths/status/20… #AI #AIDialogue #AIGovernance #AISafety #Digital #Humanity #Tech