Few concepts are invoked across as many disciplines as intelligence, and few are theorized in as many incompatible ways. To statistics and machine learning it is extreme compression of data; to the study of complex systems it is the emergence of universal computation; in the interaction of an agent with its environment it is open-ended adaptive behavior. Each appearance has its own literature and its own objective function, and the literatures rarely meet. Here we show that these appearances follow from a single principle: the pursuit of learnable novelty. 🧵
New Anthropic research: A global workspace in language models.
Of everything happening in your brain right now, only a tiny fraction is consciously accessible—thoughts you can describe, hold in mind, and reason with.
We found a strikingly similar divide inside Claude.
🌟We are proud to share that Prof Yasuaki Hiraoka (Kyoto U), an Editor of #JournalofAppliedandComputationalTopology, is an invited speaker at ICM 2026 in Philadelphia!
🗓️ #ICM2026 Invited Lectures & Panels Program (July 23–30) 👉 https://t.co/A8gUV5ayiS
#平岡裕章#国際数学者会議