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No Priors
Elad Gil and Sarah Guo speak with leading AI engineers, researchers, and founders about model progress, markets at risk of disruption, and how commerce, culture, and society may change.
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Chasing Trillion-Dollar Companies, Founder Ambition, Token Budgets, & Regulatory Capture
Anthropic, OpenAI, and SpaceX’s leap toward $1 trillion is a five-year anomaly, while reaching that scale likely requires $50 billion-$100 billion of revenue with good margins.AI’s opportunity may be far larger than current per-seat models imply, but compute bottlenecks, founder exit timing, recursive-self-improvement uncertainty, and token allocation by return on invested tokens remain decisive constraints.
How Nuclear Will Unlock Energy Abundance with Valar Atomics Founder Isaiah Taylor
Valar Atomics treats nuclear as a manufacturing problem, targeting a simple, intrinsically safe “Toyota Camry” rather than a bespoke paper reactor.DOE testing authority enabled its 100 kW W-250 to reach criticality, while passive heat removal and a seven-month milestone interval provide operating evidence.Equity-funded deployment could precede project finance, with AI as an initial catalyst and cheaper energy as the longer-term demand thesis.
Re-engineering the Semiconductor Supply Chain with Intel CEO Lip Bu Tan
Lip-Bu Tan’s Intel turnaround starts with faster accountability, balance-sheet repair and product simplification, while inference and agentic AI could lift CPU demand from one per eight GPUs toward one per four or one per one.Intel Foundry remains a costly trust and supply-chain bet against TSMC, with IP, yield and cycle time as the proof points; its potential may surface around 2030–2032 as packaging, power and materials become harder bottlenecks.
No Priors Ep. 116 | With Sarah and Elad
AI leaders are emerging in foundation models, coding, medical scribing, and customer success, while sales productivity, financial-analyst tooling, accounting, and pharma remain open.The winning application playbook combines vertical workflows, proprietary data, distribution, and user-generated knowledge, while startup mergers may strengthen defense against incumbents; neglected fertility, longevity, and world-model opportunities remain constrained by financing, regulation, and uncertain commercialization.
Predicting the Earth with Josh Goldman: How KoBold Uses AI to Find Critical Minerals
KoBold treats mineral exploration as an information problem in an industry where discovery productivity has fallen roughly 10x, targeting $50–100 million per discovery against venture-scale returns.Mingomba’s core exceeds 5% copper versus roughly 0.6% at operating mines, while active learning and fragmented geological data support a pipeline constrained more by quality projects, permitting, and social license than capital.
No Priors Ep. 109 | With Sarah and Elad
Image generation is entering another quality shock, but controllability and seamless vertical workflows matter more commercially than novelty alone.As foundation-model capabilities and product surfaces converge, distribution, consumer surplus, and specialized opportunities in physics, materials, robotics, science, health, and biology become more important.Defensibility depends on proprietary data-generation engines or genuinely different technical theses, while MCP, capital availability, and the next model release could quickly reshape today’s emerging market structure.