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Take a whirlwind tour inside the mind of a neurosymbolic machine intelligence as it's observing the room and constructing a real-time knowledge graph to model & connect the people, objects, and activities that it sees and hears! More than a year in the making, I was gratified to get...

35,714 views • 10 months ago •via X (Twitter)

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Marc Andreessen says raw intelligence might be the worst qualification for leadership — and it changes everything about how we should think about AI. "If the leader is more than one standard deviation of IQ away from the followers, it's a real problem." Andreessen points to the US military, one of the earliest and most rigorous adopters of IQ testing, as the source of this insight. They slot people into specialties and leadership roles based on IQ scores. And over the years, they kept seeing the same pattern. A leader who is significantly less intelligent than their people struggles to model how those people think. That part is intuitive. But the reverse turns out to be equally true. "It's actually very hard for very smart people to model the internal thought processes of even moderately smart people." A leader who is two standard deviations above the norm of the organisation they're running also loses theory of mind, that ability to hold an accurate model of what's happening inside someone else's head. The gap is too wide in both directions. Andreessen then takes this to its logical conclusion: "If you had a person or a machine that had a thousand IQ or something like it, its understanding of reality would be so alien to the people or the things that it was managing that it wouldn't even be able to connect in any sort of realistic way." An AI that vastly outthinks every human in the room isn't positioned to lead those humans. It's positioned to be completely incomprehensible to them. Leadership has never really been an intelligence problem. It's a connection problem. And no amount of raw intelligence closes that gap — past a certain point, it only widens it. The world will not be run by the smartest thing in the room for a long time. Maybe ever.

Big Brain AI

366,516 views • 5 months ago

Hou Hsiao-Hsien on the autobiographical nature of "A Time to Live and a Time to Die" (1985): "In 'A Time to Live and a Time to Die' (1985), I wanted to get back to a one-to-one relationship between filmmaker and subject, much as I had in 'The Sandwich Man' (1983). 60-70% of the film is drawn directly from my own memories, the rest from conversations with other members of my family and from research. Of course, the narrative isn’t structured in terms of chronological autobiography. The strongest structuring elements are the three deaths; beyond those, it’s structured in terms of memories and impressions. Both the family in the film and my own memories are essentially vehicles for the discussion with people of my generation of some things that should be discussed: the political and social predicament of those people in Taiwan who originally came from the Mainland. It’s something that simply hasn’t been talked about, least of all in films. After I had shot the film, but before I edited it, three images came together in my mind that helped me to rationalise what I was doing. First, a guy from Hong Kong told me how he used to make annual trips with his family to visit his old grandfather in Guangdong province. One year the grandfather took them all out to a mountain overlooking the sea. He clutched a compass in his hand and said: ‘This is where I want to be buried’. I somehow made a mental connection between this faintly absurd scene and the man who carries a magnet everywhere to prospect for precious metal in 'One Hundred Years of Solitude', which I was reading at the time. And then I made the association of both images with my grandma and her road back to the Mainland. It struck me that all three images combined something fundamentally real with something surreal or absurd. I’d never thought of things in terms of the coexistence of the real and the surreal before. For me, this was a kind of conceptual breakthrough. I suppose that many people in Taiwan must have thought that bringing up the question of our isolation from the Mainland was a touchy thing to do. It obviously is a delicate issue. But the very existence of the film proves that it needn’t be touchy, which strikes me as useful. I guess the authorities let me do it because my other films have shown that I try to be sincere and that I don’t have ulterior political motives." (Hou Hsiao-Hsien's interview with Tony Rayns, Film Buletin, 1988) P.S: On this day, 41 years ago, "A Time to Live and a Time to Die" (1985) was released in Taiwan.

DepressedBergman

28,455 views • 1 month ago

A Talk About AI That Will Blow Your Mind. It Did In 1998 When I Attended The Talk. I just found this video from 1998 when I attended this talk by Rupert Sheldrake, Terence McKenna and Ralph Abraham at the University of California, Santa Cruz to explore how machine intelligence might evolve in relation to our own. I never thought I would see this again and it had a great influence on me in the AI I was building in that era and on to today. But ai just found a copy. I certainly did not run around with a VHS recorder so I am blown away that this exists. Now you can see what I saw. At that time, the internet was still young, and artificial intelligence belonged mostly to science fiction. Yet many of the questions we raised then have become part of daily life. In this conversation, it was explored whether intelligence is best understood as logic and computation, or as something embodied, participatory, and alive. Can the mind be reduced to code, or does life itself depend on forms of knowing that no algorithm can contain? AI now outpace us in speed, reach, and memory. Yet the deeper mystery is not how far they can go, but what they reveal about mind and ourselves. Will AI reproduce the limitations of our mechanistic worldview, or might it help us rediscover dimensions of mind that transcend machinery altogether? It's striking how near we now are to the possibilities we once only speculated about. Quantum computing, self-learning systems, large language models very much as Terence describes—and the looming prospect of superintelligence—have moved from the margins to the mainstream. But the heart of the conversation remains just as relevant today, if not more so: what is consciousness, and how might we participate in its unfolding evolution?

Brian Roemmele

148,128 views • 9 months ago