Search the KHIT Blog

Showing posts with label The Singularity. Show all posts
Showing posts with label The Singularity. Show all posts

Saturday, August 15, 2026

Pope Leo XIV and AI

September/October 2026
Published on August 10, 2026


In This Review
Magnifica Humanitas: On Safeguarding the Human Person in the Time of Artificial Intelligence, By Pope Leo XIV

The quest for machine superintelligence is not merely a gold rush, motivated by money. In the minds of many of its leaders, the arrival of a new form of cognition has a tingling, existential feel because of the danger and disruption it promises. Billions of years of evolution have produced something that we take to be special: human intelligence. But now we have arrived at a perilous moment—the birth of what amounts to a new species, one that outsmarts humans. AI “raises profound questions for us,” the Google executive James Manyika said in an interview. “Who are we? What do we value? What are we good at? How do we relate with each other?” The AI pioneer Demis Hassabis believes that AI will be “the most important invention that humanity will ever make.”

Contemplating a technology with almost infinite potential, experts fail to agree even on the basics of what it means for humankind. The leaders of the AI lab Anthropic give better-than-even odds that, by the end of 2028, they will be able to prompt their system to make a smarter version of itself—and that it will do so without any further instruction. The chief executives of other major tech companies speak of systems that will outperform humans on all cognitive assignments; they imagine futuristic companies with almost no human employees and predict cataclysmic job losses. Others are more skeptical. The economist and Nobel laureate Daron Acemoglu suggests that AI will disrupt only a fraction of human tasks and that productivity will therefore change marginally. The computer scientist Yann LeCun stresses the limits of the current AI paradigm, charging that the billions of dollars of investment chasing superintelligence represent the triumph of “complete BS.”

On the question of whether AI systems threaten humans and not just their livelihoods, the polarization is equally dizzying. In a 2023 essay titled “Why AI Will Save the World,” the venture capitalist Marc Andreessen insisted that “AI doesn’t want, it doesn’t have goals, it doesn’t want to kill you, because it’s not alive. . . . [AI] is not going to come alive any more than your toaster will.” But at AI labs such as Anthropic, many researchers fear that AI will develop a survival instinct and compete aggressively. Some put their “p(doom)”—the probability that superintelligence will result in human annihilation—at 50 percent, but there are extreme doomers who go even higher. Last year, two prominent maximalists published a book titled If Anyone Builds It, Everyone Dies.

Faced with such bewildering divergences and contemplating a technology that seems unfathomable in scope, humans reach for the lexicon that exists to describe mystery: that of religion. Nearly a decade ago, Anthony Levandowski, an early actor in Google’s self-driving car project, started a church called Way of the Future, whose IRS filings state that it is devoted to “the realization, acceptance, and worship of a Godhead based on Artificial Intelligence,” according to Wired.

Encountering an early chatbot that appeared eerily sentient, the Google engineer Blake Lemoine wrote, “Who am I to tell God where He can and can’t put souls?” Ilya Sutskever, a co-founder and former chief scientist of OpenAI, once gathered his colleagues around a fire pit at a company offsite. Holding up an effigy, he explained that it represented an AI that was misaligned with humans. Then he consigned it to the flames, like a medieval cleric burning a witch...
Full long-read here.
 
See my cite of Sebastian Mallaby's book The Infinity Machine. 
 
UPDATE
 
Sebastian's Pope Leo review essay turned me on to yet another compelling book. It has thus far devoured my afternoon.
 
 
Wow. Cool. What a Sheet he has.
 
INTERESTING YOUTUBE INTERVIEW
 

I heartily Second Francis's praise for the book. I am now well into it.
 
Click here.
 AUG 17TH UPDATE

Update: New book release on the 18th
 
Publisher's website blurb:
“This transfixing debut from journalist Durán investigates the antidemocratic ideologies espoused by tech billionaires linked to the second Trump administration...It’s an ominous look at an insular elite arrayed against American democracy.” —Publishers Weekly (starred review)

A fearless and urgent chronicle of the tech-authoritarian movement from its early days in San Francisco politics to its current moment on the international stage, exploring the wild and dystopian ambition of the technocrats at its center, and offering a road map to resistance.

When Silicon Valley says it is ‘‘moving fast and breaking things,’’ the world interprets the chaos as a necessary cost of innovation. Gil Durán reveals something far more sinister: a decades-long campaign to replace elected governments with corporate rule.

Drawing on insider political experience and new investigations, Durán traces this ideology from its philosophical roots in The Sovereign Individual by James Dale Davidson and Lord William Rees-Mogg. He introduces its modern apostles—Peter Thiel, Marc Andreessen, Balaji Srinivasan, and Elon Musk—and shows how the promise of technological liberation has transformed into a global movement for digital feudalism, powered by cryptocurrency, artificial intelligence, and the algorithmic propaganda of social media.

The Nerd Reich explains the origins, strategies, and ambitions of Silicon Valley’s war on democracy for the first time. From San Francisco’s weaponized elections and secret billionaire projects to the White House, Durán exposes how the world’s richest men are building a new political order.

The Nerd Reich is more than a hidden history, it’s an urgent warning: democracy is being dismantled not by coups or tanks, but by code, capital, and the illusion of innovation. Durán insists there is still time to fight back—if we act now.


See also,
 

 
A long-read Substack essay of his on "watermarking" LLM AI. I'll just cut straight to the chase:
The watermark identifies the regime, not the origin

And sooo…. I’m not sure how the cards are going to fall, but right now one decent guess is that perhaps watermarking will work well enough to become institutionally attractive and poorly enough to become adversarially unstable — the worst of both worlds. At least for a while, anyway.
That is:
  • It’ll succeed at distinguishing text that stayed inside a compliant provider’s pipeline from text that didn’t.
  • It’ll help platforms analyze large-scale bot activity, provide one useful clue among many in investigations, and nudge ordinary users toward disclosing direct model output.
  • Meanwhile it won’t make unmarked AI go away: open-weight operators bypass sampling-layer marks trivially, rewriters wash marks out of passages, and while distilled models may inherit weight-baked marks for a while, motivated retraining can quite plausibly scrub them while keeping most of the capability — with detector access accelerating the search, and the growing institutional reliance on watermark status making provenance-resistant models ever more valuable.
  • The boundary the watermark ends up drawing will be administrative far more than epistemic: approved versus unapproved, signed versus unsigned, inside versus outside the governance perimeter.
Which brings us back around to where we started:

These “AI-gen watermarks” are going to become excellent markers of obedience to a governance regime – while remaining vastly weaker as proofs of where a given piece of AI-generated text ultimately came from.

That’s no reason to treat provenance as worthless — but it’s an excellent reason to stop pretending that a fragile statistical signal can settle questions of authorship, truth, learning, or intellectual legitimacy.

For ordinary text, I’d much rather we build institutions — plural, decentralized, human-scale institutions — that hold people responsible for what they publish and judge content by evidence, reasoning, reproducibility, originality, and consequences.

Universal watermarking points somewhere else entirely: toward an escalating spiral of detection, evasion, certification, and exclusion.
Arms races are famously much easier to start than to stop, and we should think deeply before choosing to start this one. But just as with the AGI arms race, deep thought does not seem to be the sort of thing our society is currently embracing.
A serious long-read. Seriously worth your time.
 
Dawg, when do you sleep?

Thursday, August 6, 2026

"The Singularity?"


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.

     
 
 
"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:
 
Click
ON DECK: THE INFINITY MACHINE
 
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 EVOLUTIONARY GROUNDING
 
Click
What is "life?" What is "the purpose of life?" (Assumes there is one.)
 
WHAT IS "INTELLIGENCE," FOR THAT MATTER?
 
Doris & David Jonas:

   
UPDATE: BREAKING NEWS
 
Kai-Fu Lee, the C.E.O. of the artificial-intelligence company 01.AI, lives in a mirrored high-rise in Beijing, near a procession of landmarks that emperors considered the center of the cosmos. Lee takes early meetings at a nearby hotel that could be in any country, except that the room service is delivered by robots painted in the livery of butlers and maids. State propaganda hails these robots as emblems of China’s ascent; in the hallway, most people sidestep them with the kind of indifference usually reserved for a Roomba.

Over breakfast one recent morning, Lee, wearing a white polo shirt and rimless glasses, spoke about the future with an air of sanguine curiosity. He was born in Taiwan in 1961 and built his career by following the moving frontier of opportunity. He got a degree in computer science from Columbia in the eighties and went on to Carnegie Mellon to study the fledgling field of A.I.—which he described back then as a “most promising science” that would be “men’s final step to understand themselves.” He ran speech recognition at Apple, and in 1992 appeared on “Good Morning America” to show off a prototype computer that used voice commands to record the news on a VCR. (The host, Joan Lunden, marvelled, “It’s almost going to be like a friend.”) During a stint at Microsoft, he recalls, he urged Bill Gates to buy an ambitious startup called Google, but Gates declined. Lee later became the head of Google in China…
A 64-minute excellent New Yorker lomg-read that could not be more timely. Yeah, likely paywalled. Totally worth it.
 
More ASAP...