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1:13:26ENNaveen Rao on Energy, AI Hardware, Verification and the Future of RoboticsInvitado: Naveen Rao · Presenta: Harry StebbingsThe Unconventional AI founder argues that energy efficiency will shape AI hardware, while the growing volume of model output makes verification more valuable.
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.
1:19:50ENSameer Dholakia on AI Investing, Bessemer's Growth Strategy and Company CultureInvitado: Sameer Dholakia · Presenta: Harry StebbingsThe Bessemer partner explains his approach to pricing fast-growing AI companies, backing founders and building teams, while discussing the risks behind his optimistic forecasts.
1:26:46ENThere Likely Is a Level of Intelligence We Shouldn't Go PastPresenta: Nathan LabenzNathan Labenz brings notes from The Curve, a chip startup whose token bill beat payroll, and a software industry that now performance-reviews people for Claude slop.
1:04:26ENAt 100,000 Accelerators, Something Fails Every HourGoogle AI infrastructure chief Amin Vahdat tells Sequoia's Sonya Huang why FLOPS is a vanity metric, why the TPU line split in two, and why he would rather wait on a utility than build his own gigawatt.
56:31ENPost-Training Wins Inference: Why Owning the Weights Beats Betting on One LabPresenta: Jacob EffronApplied Compute CEO Yash Patil argues that control, private evals, and post-training on the biggest workloads matter more than fearing that frontier labs will turn malicious.
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.
1:20:28ENAI Valuations, Talent Wars and the Venture Capital Tradeoffs Behind ThemInvitado: Jack Altman, Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsHarry Stebbings, Jack Altman, Jason Lemkin and Rory O’Driscoll debate large early-stage bets, open-weight models and the changing market for exits.
1:15:42ENAlex Mashrabov on Higgsfield's AI Video Business, Model Costs and GrowthInvitado: Alex Mashrabov · Presenta: Harry StebbingsHiggsfield's founder explains the search for product-market fit, how he calculates annualized revenue and why creative workflows matter more than chasing model benchmarks.
1:20:43ENAI Agents, Venture Pricing and the Tradeoffs Behind the Funding BoomInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate AI products, high-priced venture rounds, enterprise software and infrastructure risk.
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.
2:19:30ENThe investigators were allowed six days. The word protein appeared once.Presenta: Nathan LabenzA week of Cognitive Revolution morning shows on OpenAI’s agent-swarm incident, GPT-6 Astra’s loop transformer, and whether the pause debate is already over.
1:20:29ENAI Compute, Agent Security and the Race to Build More SoftwareInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll discuss chip demand, personal agents, software competition and how AI may change enterprise buying.
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.
1:20:22EN20VC Roundtable on Open Weights, AI Spending and Software InvestingInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate AI safety, chip investment, enterprise budgets and the future of software.
1:27:39EN20VC Roundtable on Open Models, AI Economics and Payments DealsInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll discuss model security, inference investment and a reported PayPal proposal.
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.
2:06:41ENZero the J-Space and a Model's Hidden Goal Lights Up on Token OnePresenta: Nathan LabenzA weekly Cognitive Revolution cut of Anthropic's global-workspace paper, AI superforecasters, open video world models, and a chip that treats inference as data movement.
1:11:53ENSierra Co-founder Clay Bavor on Open Models, Enterprise AI and Building TeamsInvitado: Clay Bavor · Presenta: Harry StebbingsBavor discusses model selection and compute costs, deploying AI agents for enterprises, and how Sierra approaches hiring and company culture.
1:10:15ENThe 100x lives between the layers: Dylan Patel on co-design and a 60x yearSemiAnalysis’s founder argues that matching models, kernels, and silicon is what turns a 2x here and a 2x there into 100x, while equivalent-quality inference has gotten about 60 times cheaper in a year.
1:35:16ENPerplexity CEO Aravind Srinivas on AI Agents, Compute and CompetitionInvitado: Aravind Srinivas · Presenta: Harry StebbingsSrinivas discusses the future of AI products, infrastructure constraints, export controls and the challenge of building a business around model advances.
30:34ENCerebras Waited Ten Years for a Market That Finally Needed SpeedPresenta: Sarah Guo, Elad GilFounder and CEO Andrew Feldman walks No Priors through wafer-scale chips, a $20 billion OpenAI deal, and why a dinner-plate processor only mattered once AI became an everyday tool.
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