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1:25:33ENWhy GPU Capacity Comes in Three-Year Rectangles — Erik Bernhardsson, ModalInvitado: Erik Bernhardsson · Presenta: Vibhu SapraModal’s CEO tells Latent Space why AI demand almost never looks like a three-year GPU contract, how the company pools compute across thousands of customers, and why sandboxes grew from a product they almost killed into a third of revenue.
1:05:01ENChase Lochmiller on AI Data Centers, Energy and GPU EconomicsInvitado: Chase Lochmiller · Presenta: Harry StebbingsCrusoe’s CEO discusses the constraints on AI infrastructure, the economics of GPU capacity and his company’s approach to energy and managed inference.
35:39ENCompute Scaled a Millionfold. Bandwidth Only 40x. Fractile Wants to Fix That RatioPresenta: Sarah Guo, Elad GilIn the summer of 2022, Walter Goodwin founded Fractile in London to build very fast inference chips for the world's largest models.
1:08:54ENParag Agrawal on Web Search and Business Models for AI AgentsInvitado: Parag Agrawal · Presenta: Harry StebbingsParallel’s co-founder explains why agent search needs different economics, how content owners might be paid and why agent safety requires more than model capability.
31:59ENClaude Opus 5.5: Benchmarks, Cost and Anthropic’s Approach to PacingMatthew Berman, Thariq · Forward FutureMatthew Berman reviews the release and speaks with Anthropic’s Thariq about daily workflows, evaluation and agent harnesses.
1:19:54ENThomas Sohmers on AI Inference, Memory and Data-Center GrowthInvitado: Thomas Sohmers · Presenta: Harry StebbingsPositron’s co-founder discusses the engineering economics of inference, his views on AI infrastructure and regulation, and the risks he sees in financing and concentration.
38:14ENDiffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom SiliconPresenta: Sarah Guo, Elad GilThe Stanford diffusion pioneer tells No Priors why a 50-person lab is training language models that generate many tokens at once — and why that maps to GPUs the way transformers once mapped to training.
1:16:00ENJD Grèze on Building Town and Competing in AI AssistantsInvitado: Jean-Denis Greze · Presenta: Harry StebbingsTown’s co-founder discusses privacy, model costs, competition and why he prioritizes customer value over token consumption.
1:04:35ENCliff Weitzman on Owning GPUs, Voice AI and Building SpeechifyInvitado: Cliff Weitzman · Presenta: Harry StebbingsSpeechify's CEO makes the case for owning part of a compute fleet, reflects on a missed business-software opportunity and discusses AI-assisted teams.
37:07ENArm’s 98.5% margin business just started shipping chipsPresenta: Sarah Guo, Elad GilCEO Rene Haas tells No Priors why the IP company built a physical CPU for Meta, and why CPUs still sit at the center of AI systems.
1:29:22ENEno Reyes on AI Model Economics, Enterprise Control and Factory's StrategyInvitado: Eno Reyes · Presenta: Harry StebbingsFactory's CTO discusses cost per outcome, model routing, open models, enterprise hiring and his expectations for the AI market.
44:28ENTibo on Coding Agents, Faster AI and OpenAI’s Product DirectionMatthew Berman, Thibault Sottiaux · Forward FutureOpenAI’s Tibo discusses agent interfaces, usage resets, model efficiency and the trade-offs behind faster inference.
1:10:08ENJerry Murdock on AI Financing, Open Models and Technology CyclesInvitado: Jerry Murdock · Presenta: Harry StebbingsInsight Partners' co-founder discusses credit risk, specialized models, security and how investors might navigate an uncertain AI cycle.
1:08:25ENAlex Atallah on OpenRouter, Model Competition and AI MarketplacesInvitado: Alex Atallah · Presenta: Harry StebbingsThe OpenRouter CEO discusses inference providers, open-weight models, enterprise safety and the economics of routing.
1:28:42ENLin Qiao on Specialized AI, Open Models and the Economics of InferenceInvitado: Lin Qiao · Presenta: Harry StebbingsThe Fireworks AI CEO explains her case for customized models, discusses infrastructure trade-offs and forecasts lower AI costs and higher use.
1:00:08ENArvind Jain on Enterprise AI, Open Models and the Future of WorkInvitado: Arvind Jain · Presenta: Harry StebbingsThe Glean founder debates model competition, enterprise AI returns and whether productivity gains will shrink teams or raise the bar for everyone.
41:05ENThere is no moat: Booking’s CEO on a $1 stock, agentic travel, and why AI still doesn’t move the numbersPresenta: Sarah Guo, Elad GilGlenn Fogel cashed his 1999 bonus, joined Priceline in February 2000, and watched the Nasdaq peak a week later — then spent 25 years turning a near-delisting into a thousand-fold ride he now wants to spend on AI travel agents.
1:01:27ENTwo Years and Four Months to a Live Reactor: Valar Atomics Wants Energy Ten Times CheaperPresenta: Sarah Guo, Elad GilIsaiah Taylor walks Sarah Guo through Ward 250 in Utah and argues that nuclear is a hardware-iteration problem, not a paper-design one.
1:16:37ENNikesh Arora on Enterprise AI, Cybersecurity and Model EconomicsInvitado: Nikesh Arora · Presenta: Harry StebbingsPalo Alto Networks’ CEO discusses model depth, token costs, security and how leaders can adapt large organizations.
1:25:00ENMatan Grinberg on AI Coding, Token Costs and Building FactoryInvitado: Matan Grinberg · Presenta: Harry StebbingsFactory’s CEO discusses enterprise AI budgets, model choice, engineering culture and the uncertain effects of automation on work.
1:14:30ENRoman Chernin on AI Compute Demand, Inference and InfrastructureInvitado: Roman Chernin · Presenta: Harry StebbingsNebius’s co-founder discusses customer demand, GPU economics, managed inference and the risks of a concentrated market.
57:42ENJacob Lauritzen on AI Engineering, Legal Work and Building LegoraInvitado: Jacob Lauritzen · Presenta: Harry StebbingsLegora’s CTO discusses code review, token budgets, enterprise adoption and how legal workflows might change.
1:14:12ENBrendan Foody on Mercor, AI Data and the Future of WorkInvitado: Brendan Foody · Presenta: Harry StebbingsThe Mercor CEO discusses a security incident, data-provider economics, enterprise agents and the uncertain effects of AI on employment.
1:07:45ENAndrew Feldman on AI Chips, Data Centers and Compute DemandInvitado: Andrew Feldman · Presenta: Harry StebbingsCerebras’s CEO discusses memory supply, inference speed, community impacts and US chip policy.
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