On Training Data, Box CEO Aaron Levie describes how his customers actually pick models: a default for asking questions of their files, and hard-nosed accuracy evaluations for the high-volume extraction work where most tokens are spent. He endorses Decagon founder Jesse Zhang's argument that mature workflows migrate to open-weight models, and explains why the big labs' revenue and open-weight token volume can climb at the same time.
A civil engineer called into the Moonshots AMA to ask why two data buyers had shown interest in his 30-year project archive and then gone quiet for weeks. The panel's answer: they are not haggling, they are overwhelmed — so put the archive in a package with a price on it.
On Moonshots, the panel read out Anthropic's most extreme economic scenario: roughly 15% annual GDP growth by 2030 alongside 17.9% unemployment among cognitive workers and labor's share of income falling from about 60% to 45%. Two investors called the growth number a lowball. Emad Mostaque said the model is missing the thing that breaks it — aggregate demand — and the panel fell into an argument about dividends, ownership and who pays the displaced.
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.
Tesla opened an interest form for businesses that want to buy Cybercab fleets and build mobility hubs for its Robotaxi Network, without publishing prices, delivery dates or revenue-sharing terms. On Moonshots, Peter Diamandis said he had filled it out, and the panel turned the invitation into an argument about owning machines instead of working for wages.
On the Moonshots panel, Emad Mostaque presented what he calls a Champion: a locally owned intelligence utility, sold to residents at a symbolic $1 pre-money valuation before outside investors arrive, with 10% of the equity set aside in perpetuity for every child under 20. He borrows the structure from his account of how TSMC was capitalized, and argues that as the cost of intelligence falls, the money will sit in robots, deployment engineers and citizen agents. He calls it an idea, not an offering — and it leaves governance, dilution and distribution unsettled.
Anthropic's Fable 5.1 charges $0.25 per million tokens for cached reads, a quarter of the previous rate, which one Moonshots panelist read as an invitation to load an entire company's context into the model and keep it there. The panel connected that price to a wider scramble: with model leads lasting about a month, the labs are racing to convert them into customer workflows, partnerships and proprietary design data that a rival cannot copy.
OpenAI has proposed ending the agreement that supplies its models to Cursor, now owned by SpaceX, on 12 November. On the Moonshots panel, one guest read the move as OpenAI betting on its own enterprise stack; another argued the real prize is reasoning traces — the working a model shows while solving a problem. Both explanations lead to the same awkward conclusion: Elon Musk and Anthropic now need each other.
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.
NVIDIA reported $96.2 billion in quarterly revenue and guided to $108 billion for the current quarter. On Moonshots with Peter Diamandis, the panel split over what the number proves: Dave Blundin sees a company nobody can avoid, Alex wants to know how much of the demand NVIDIA itself financed, and Salim Ismail would prefer slower growth that markets have time to correct.
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.
On The Diary of a CEO, critic Ed Zitron praises a chatbot for reading a troubleshooting log and for helping fix his son's Minecraft mod, then argues that neither is worth a trillion dollars. The host counters with his fiancée's one-woman business and his chief of staff's inbox. The argument turns on tokens, subscription rate limits and who is paying the real bill.