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Articles about US–China AI competition 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.
On Moonshots #288, a 4 a.m. chart about DeepSeek's new V4.1-Flash model sent the panel from cache statistics to the shopping list for an AI data center. DeepSeek says the model's lookup memory needs a quarter of the expensive high-bandwidth memory and an eighth of the SSD cache storage of its previous generation. The panel's argument was about what that does to a buildout in which, by one panelist's estimate, 40% of American capital spending goes to that one component.
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 the Moonshots panel, Alex argued that China's AI loyalty perks are the start of "universal basic tokens" — redistributed access to machine intelligence — while another panelist countered that cheaper tokens will mean bigger bills, not free ones. Emad Mostaque pushed past access to ownership, proposing 100 million publicly underwritten robots owned by the people, and Alex said that sounded like communism.
Jakub Pachocki, OpenAI's chief scientist, published an essay saying no lab has solved alignment and monitoring well enough to keep scaling at full speed, and called for voluntary slowdowns until shared safety thresholds exist. On Moonshots, four panelists agreed the systems are extraordinary and disagreed with almost everything else in his argument.
On September 3, Senator Bernie Sanders and Representative Greg Casar announced legislation to permanently prohibit superintelligent AI and pause advanced development; a day earlier the White House reported unanimous G20 agreement on a non-binding, innovation-first framework. The Moonshots panel rejected the bill's single human-level threshold, then spent the rest of the segment arguing over what a credible middle position would be: universal chip logging, open weights, and a right to compute.
On The Diary of a CEO, David Friedberg argued that open-weight AI models will stop the industry's value from pooling in two or three labs, and wagered that someone with no money today will build a billion-dollar company on a model they downloaded. His case runs through the Netscape era, the fight in Washington over Chinese models, and a proposal that data centers generate their own power and sit in ordinary retirement accounts.
OpenAI said on August 18 that it had halted part of its frontier reinforcement-learning work until alignment, security and monitoring standards caught up with the capabilities ahead. On Moonshots with Peter Diamandis, Emad Mostaque called the safety constraint real, Alex called the announcement marketing, and Salim Ismail reported back from a visit to OpenAI's offices. OpenAI later disclosed that the largest paused run restarted on August 28.
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 read out X's disclosure of a suspected 200,000-account network containing 200 accounts posting claims that AI data centers raise household power bills. The hosts set it against Quincy, Washington, where tax revenue from data centers funded a school and a hospital, and argued for a community bargain: build your own power, make local electricity cheaper, pay for the schools.
On Moonshots with Peter Diamandis, one speaker argued that hyperscalers could win communities over with cheaper power, school programs and better-looking buildings. A fellow panelist replied that the fight has already been politicized beyond what benefits can fix — and the viral water figures at the center of it describe the whole country, not the town being asked to host the building.
On Moonshots EP #283, Peter Diamandis introduced a reported $6 billion NVIDIA arrangement with the coding startup Poolside as America's answer to Chinese open models. Emad Mostaque argued the real driver is selling more GPUs, while Alex and Dave disagreed about whether licensing-and-hiring deals exist to dodge antitrust review or simply to hire fast — and what happens to the half of Poolside that stays behind.