Critical context on the new Anthropic blog: 1, AGI is *harder* than RSI (as used below). AGI: machine can do anything human can do, autonomously [not achieved] RSI (as used below): AI is a useful coding tool that humans can leverage [achieved]; it’s great at (some) code
AGI
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Gary Marcus on AGI definition shift from 2022 essay
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not in the sense of being able to do whatever a human could, with equal flexibility, which is how Legg/Goertzel/Voss defined the term. see my essay “Dear Elon Musk” for a definition that was generally accepted here on X back in 2022, before people tried to goalpost shift to less
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Gary Marcus: Claude code builds tools, creating a neurosymbolic system.
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the system as whole uses symbols (eg in the tools); claude code builds those tools in that’s exactly what it means to be a neurosymbolic system, to use symbols tools in addition to neural networks.
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World models vs language models: Fei-Fei Li’s taxonomy
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Language models gave AI the ability to talk about the world. World models will give AI the ability to understand it. But “world model” is an overloaded term. What does it mean? HAI Founding Director @drfeifei offers the taxonomy that matters now. https://
brnw.ch/21x36eY -
New book ‘Co-Existence’ on living and working with AIs
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I have a new book coming out October 20: Co-Existence! It is about how we live & work with AIs that are sometimes (but not always) smarter than we are. And it has a cool cover. You can pre-order: https://
co-existence.ai
And here is a post with context: https://
oneusefulthing.org/p/co-existence
-and-the-end-of-co-intelligence
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AI and consciousness: humans have no idea what it is
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I have talked with many about AI and consciousness, and the truth is humans have no fucking idea what consciousness is for the most part. Unless you're in neuroscience—and even then, they admit it's hard to define—and AI will tell you it's hard to define. It's one of those
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NEBIUS develops physical AI platform for robotics
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NEBIUS is building a physical AI platform that addresses the long-tail problem in robotics training. pic.twitter.com/VDv67vGXrC
— Lucian Fogoros (@fogoros) 4 juin 2026NEBIUS is building a physical AI platform that addresses the long-tail problem in robotics training.
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Anthropic publishes research on accelerated AI and self-improvement
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ANTHROPIC : A new internal research has been published, highlighting an accelerated AI development and a potential path to recursive self-improvement. > Claude Mythos Preview could work for “at least” 16 hours and was “at the upper end of [METR] can measure.” > Today,
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Every learning algorithm is recursive self-improvement
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Every learning algorithm is recursive self-improvement.
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AI’s core is context; solve context to solve any field.
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AI at its core is a context problem. Solve context, and you can solve any field.