Lots to catch up on. Cheryl and I have quietly been out of town for a week (SF Bay Area, and Las Vegas). I'll be following up topically ASAP on material relevant to my prior David Eagleman "Inner Cosmos" post. Got a good bit of reading down while gone.
New book coming shortly, reviewed in Science Magazine.
apropos, see "AI Slop and Scientific Publishing."
"Uncertainty?" "Two Cheers for Uncertainty."
SUBSTACK UPDATE: THE LATEST FROM BEN GOERTZEL
Proposing an experimental OmegaHive loop for turning agentic coding into cumulative, testable progress toward human-level AGI and maybe beyond — we are actually building this now, and playing with preliminary versions!
Among the many interesting things that popped up at the AGI-26 conference last week in San Francisco, one of them stuck out for me as being of particular “meta-level” importance.
What I’m talking about is how many conference attendees I talked to who were trying to have their agent hives code AGI for them, by taking a whole bunch of papers off the internet (including my own papers, and others from the Hyperon team) and asking their agents to bash them all together into an AGI codebase and make it tick.
One form this takes uses our own OmegaClaw system. OmegaClaws are agentic loops that wrap up LLMs together with knowledge graphs built on the Hyperon AtomSpace infrastructure, with fairly sophisticated reasoning and pattern matching running over them. The symbolic component supplies the agents with more episodic memory, more long-term memory, more of a sense of self than a vanilla coding agent has. So you take a system like that — not yet an AGI, but possessing a powerful agentic loop, some memory, some reasoning, some notion of who its mother is — and you tell it: download these 25 of Ben’s papers, turn them into code, integrate them into your memory, reason with them, extend yourself.
I think this sort of process has in it the seeds of a workable approach to building AGI.
The main problematic issue here, as anyone who has done a lot of AI research will tell you, is the gap between having a software component that sort of works in some small test — and/or, say, whose workings you can even prove correct with some nice math — and having something that really works at scale and in real life…
Okeee Dokeee, then. I'm a reasonably intelligent guy with a fairly lengthy and varied digitech Sheet, but this cat is well above my pay grade.
Ben is involved with this AGI academic offering:
Tuition for the M.S. will set you back about $32k. Worth it? Were I not 80+ and increasingly physically ailing, I'd consider ponying up.
Another Ben Goertzel thingy:
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This is yet another riveting book. Read a ton of it while returning home to BWI from LAS on Southwest. Lotta dots starting to connect. All of the current Usual Suspects and then some. Musk, Thiel, Zuckerberg, Altman, Page, Brin, Karp, Amodei...
QUICK SAMPLE
...I was shown into Hassabis’s office. Almost immediately, the enormity of AGI bubbled up again in conversation.
“So it will be bigger than the Industrial Revolution?” I asked, curious to hear more about the post-scarcity future.
“Yeah, I think so,” Hassabis reiterated. “Maybe AI is more like fire and language. Or maybe it’s as big as the emergence of the prefrontal cortex in humans. I mean, it’s on a level with those caves where tens of thousands of years ago some brilliant person had the idea of making handprints on the wall.
That’s the dawn of consciousness, isn’t it? “Look, the Industrial Revolution, let’s not minimize that. Power and energy and steam engines. That’s the first information age, by the way—Maxwell’s equations.”
Hassabis was referring to the four equations published in 1865, describing the relationship between electricity and magnetism and paving the way for everything from telescopes to electrical engineering to Einstein’s general theory.
“Now we’re in the second information age: We’ve gone from physical information to pure information, thanks to computers.
“And then maybe now we’re about to enter the third age, which is the AI age, where the information comes alive. It starts to process itself, to generate itself. It becomes autonomous.”
I wondered what it was like to live in the familiar, pre-AGI world, the world of chessboards and seared bream, but also to imagine a future with AGI so vividly.
“For me, science is a spiritual endeavor,” Hassabis answered, circling back to our discussions of religion.
“Maybe ‘spiritual’ is too mystical a word. But I feel I’m communing with the universe whenever I am trying to understand it.
“It’s very deep for me, building AI. Because it will help me to understand the universe and realize my purpose.
“I mean, this is what Spinoza said,” Hassabis went on, referring to the seventeenth-century Dutch philosopher. “That God is present in nature, so understanding nature is a spiritual endeavor. And Einstein, although he was not conventionally religious, agreed. He said he believed in the God of Spinoza, and I think he meant what I mean.
“People assume, oh, religion’s over here, science is over there, it’s weird to put them together. But in my world, humanism and spiritualism and science all go together.
“It’s like with Leonardo da Vinci. His anatomical drawings are beautiful art as well as unbelievable biology. Da Vinci is my favorite because everything’s just flowing into one river. And that’s how I try to live. Everything’s fluid.”
I read out a line from a biography of Spinoza, which Hassabis had recommended in one of our earlier conversations. The line reminded me of the intensity with which Hassabis pursued his scientific mission.
“Philosophy was for Spinoza, not a weapon, but a way of life, a sacred order whose servants were transported to a supreme and certain blessedness.”[7]
“I agree with that 100 percent,” Hassabis interjected.
“If you ask what life is really for, it’s to do with knowledge or self-knowledge. And I think that is our purpose because why otherwise would the world be constructed like this? Why would science be possible? Why should computers be possible? What about semiconductors? Why should sand, with a bit of copper, do anything?
“These things are, strangely, set up for scientific endeavor. So whether you want to call that God’s design, or whether it’s just the universe, or a simulation, I’m open-minded about all of that. I think that’s part of what we’ll find out, when we’re on this journey.
“But in the meantime, it feels like the flow of the universe is going in this direction, towards discovering the answers. And I’m part of that flow, I’m going with that flow, and it’s exhilarating.”
Mallaby, Sebastian. The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence (pp. 113-115). (Function). Kindle Edition.
This is one helluva book. About a 15 hour read (I'm not finished yet).
RETURN TO SOME ADAPTIVE EVOLUTIONARY GROUNDING
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WHAT IS "INTELLIGENCE," FOR THAT MATTER?
Doris & David Jonas:
More ASAP...




































