AI Podcast Insights2026-09-18Brad Gerstner's test for the AI trade: $4 billion a month or $8 billion a monthAltimeter's Brad Gerstner makes the bull case for the AI trade, names the gigawatts, rates and regulation that could break it, and says which monthly number decides it.
AI Podcast Insights2026-09-18The $50,000 teacher bonuses and Meta's case for the data centreMeta's president Dina Powell McCormick makes the company's case to the towns hosting its data centres, with the numbers from one Louisiana parish and the parts of the argument that remain claims.1
AI Podcast Insights2026-09-18Ten thousand agents, 88 hours, one Millennium Prize — and the credit Noam Brown won't give themOpenAI's Noam Brown explains what the 10,000-agent Navier–Stokes result actually measured, why a swarm buys speed rather than capability, and where he thinks automated AI research really bottlenecks.2
AI Podcast Insights2026-09-17JD Vance's answer to the slowdown camp: stop building FrankensteinAll-In's JD Vance segment: the case that the data-centre backlash is a power-generation failure, and what the Vice President says to labs that build the risky thing and then ask for regulation.1
AI Podcast Insights2026-09-17Who pays when a $20 coding agent does $200 million of damageAIUC's co-founder on Latent Space explains how an independent audit standard for AI agents works, what an insurance policy against agent failure actually covers, and where the machinery still runs out.3
AI Podcast Insights2026-09-17A model that answers with a probability instead of a paragraphTypeSafe's Jev returns calibrated probabilities for one narrow question rather than prose, and The AI Daily Brief works through where that fits an agent stack and what it cannot replace.
AI Podcast Insights2026-09-17Meta's Muse, reviewed: the consumer agent that asks before it actsClaire Vo's hands-on review of Meta's Muse on How I AI: the design decisions that make a personal agent feel trustworthy, and why browser-based shopping is where it falls apart.
AI Podcast Insights2026-09-16Jensen Huang calls the AI doom story a hoax — with Trump on speakerphoneAll-In's Jensen Huang episode: why Nvidia's CEO calls the extinction forecasts 'made up', the prediction record he uses as evidence, the safety rules he does want, and how the Hugging Face purchase fits his case for open weights.1
AI Podcast Insights2026-09-16Satya Nadella's rule for the AI buildout: use every model, depend on noneAll-In's Satya Nadella episode: how Microsoft splits the mundane failures in the Hugging Face incident from the novel ones, what a slowdown leaves on the product roadmap, and the two asset classes behind its AI capex buildout.1
AI Podcast Insights2026-09-16Richard Socher bets the next thing to automate is AI research itselfLatent Space's long conversation with Recursive's Richard Socher: what the Eureka Machine is meant to build, the optimization and GPU-kernel results behind his $4.65 billion bet, and where reward hacking bends the loop.
AI Podcast Insights2026-09-14Why Frontier Models Demand Opportunity AI Over Marginal EfficiencyAn analytical breakdown of The AI Daily Brief exploring why frontier models demand a shift from marginal efficiency gains to opportunity AI, detailing ten practical architectures from playable marketing to internal decision simulators.2
AI Podcast Insights2026-09-13The shift from frontier model chasing to workflow routing and voiceAn analytical review of The AI Daily Brief analyzing eight early September product releases, illustrating how the enterprise focus shifted from frontier benchmark chasing toward multi-tier routing architectures, full-duplex voice execution, and persistent project agents.2