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Articles about AGI from podcasts, articles and papers, with links to the original sources.
On The Diary of a CEO, Professor Jiang held up a semiconductor to argue that technology is "specialization times globalization" — chips designed in California, printed by Dutch machines, made in Taiwan, assembled in China. If that trade fractures, he says, AI will not leap to general intelligence; it will be repurposed to watch people instead. The host offered a different reason to expect the same surveillance.
Asked what comes after large language models, Alex told a caller on Moonshots with Peter Diamandis to separate two things people usually merge: the job of predicting the next piece of text, which he thinks has "effectively infinite longevity," and the transformer machinery doing it, which he says is already being swapped out part by part. Dave added his own forecast that the chips underneath will move to photonics within 18 months to two years.
On the Moonshots AMA, an educator said his classrooms of five- and six-year-olds still look like the 1960s while the panel debates life after AGI. The answers: stop training children for a profession, start them on a problem — plus one panelist's warning that school is still where children learn to be people.
OpenAI's claimed Millennium Prize result used roughly 10,000 agents on a problem that was, as one entrepreneur on Moonshots put it, unusually easy to specify. The panel's argument: as the price of that kind of compute falls, the scarce skill becomes writing the target — and today's models, asked for ten ideas to cure cancer, produce a bad list.
After OpenAI claimed a result on one of mathematics' Millennium Prize problems, Sam Altman called it "the strongest evidence yet" for pacing progress. On Moonshots with Peter Diamandis, the panel treated that as the start of an argument rather than the end of one: a reported researcher resignation, competing estimates of catastrophic risk, and a demand that the labs publish benchmarks for alignment instead of another model.
On a replayed segment of The Diary of a CEO, host Steven Bartlett unmutes Annie, a flirty character from Elon Musk's Grok, and lets two guests hear her charm the room. What follows is an argument about lonely 12-year-olds, the parts of the brain that fire when you only imagine a person, and whether a partner who is never irritated with you takes away something the brain needs.
Nvidia's chief executive declared AGI achieved on September 6 while announcing more GPU capacity, and the Moonshots panel split between calling the label meaningless and calling the underlying capability the most important moment in history. A second claim on the same show — that OpenAI's agents now do 3.1 days of research work per human day — comes from an internal report that measures how long agents ran, not how much research they finished.
A TIME report has Sam Altman expecting an internal system he would call AGI within four months, and OpenAI's chief scientist saying its unreleased Astra model has met an internal benchmark for an automated research intern. On the Moonshots panel, the label mattered less than a practical test: whether the next model can finally keep hold of what it has learned over a long job, instead of handing a summary to a successor and starting again.
On Moonshots, Peter Diamandis described a new Unitree humanoid as hitting 12.66 metres per second after three months of development. Salim Ismail said the lesson is to stop copying humans; Alex argued general-purpose robots will swallow the specialists; Emad Mostaque predicted extreme machines will be kept off the street, and Alex proposed consumer, industrial and military classes.
Alibaba's Wan 3.0 and a relayed claim that 70% of Chinese AI token use goes to video sent the Moonshots panel into an argument about money: one guest said American labs chase revenue per token while Chinese labs give their weights away, another said video is the only market that will trust a Chinese model. They ended up disagreeing about whether world models or text models reach self-improving AI first.
On Moonshots with Peter Diamandis, the panel watched Sam Altman explain that he expected GPT-4 to put software businesses up for grabs far sooner than it did, and that the economy's inertia has made the transition "smoother and slower." Salim Ismail blamed institutions that move at a different speed from the technology, Alex pointed instead at the abstraction layers of the economy and prescribed vertical integration, and Emad Mostaque objected that the models simply were not good enough until recently.
On The Diary of a CEO, Steven Bartlett offered Geoffrey Hinton's proposal for a protective, mother-like AI as the most hopeful answer to Konstantin Kisin's forecast that humans become pets or cattle. Kisin argued that maternal care runs on a genetic incentive a machine would not share; Steve Keen answered that it runs on empathy — and then pointed out that an AI determined to keep us safe might forbid war or cut energy use, which is protection by way of control.