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1:07:41ENEdwin Chen on Building Surge and the Data Behind AI ModelsInvitado: Edwin Chen · Presenta: Harry StebbingsThe Surge founder discusses a bootstrapped business, training-data quality and the limits he sees in AI benchmarks and synthetic data.
1:02:41ENMike Krieger on AI Products, Model Competition and the Future of CodingInvitado: Mike Krieger · Presenta: Harry StebbingsAnthropic’s chief product officer explains how he thinks about product design, model differentiation and the limits of current AI tools.
1:18:09ENSteeve Morin on AI Inference, Chips and the Cost of Switching HardwareInvitado: Steeve Morin · Presenta: Harry StebbingsThe ZML founder explains the difference between training and production inference and offers a competitive view of the AI hardware market.
1:25:52ENJonathan Ross on Groq, Inference Economics and the AI Infrastructure RaceInvitado: Jonathan Ross · Presenta: Harry StebbingsThe Groq CEO explains his bet on inference chips, compares his company’s architecture with GPUs, and discusses the financing and power needed to scale.
1:19:00ENEiso Kant on Poolside, Compute and AI for Software DevelopmentInvitado: Eiso Kant · Presenta: Harry StebbingsPoolside’s CTO explains code-execution feedback, the cost of model development and his company’s ambitions in the AI race.
1:03:46ENZico Kolter on AI Safety, Scaling and the Limits of Open ModelsInvitado: Zico Kolter · Presenta: Harry StebbingsThe Carnegie Mellon researcher and OpenAI board member explains why prompt injection worries him, how he thinks about open weights, and why AI progress remains uncertain.
50:20ENArvind Narayanan on AI Scaling, Real-World Risks and the Limits of Model BenchmarksInvitado: Arvind Narayanan · Presenta: Harry StebbingsThe Princeton professor challenges simple claims about scaling, AGI timelines and AI adoption while discussing deepfakes, healthcare, education and security.
1:03:26ENAidan Gomez on Model Scaling, Data and Enterprise AIInvitado: Aidan Gomez · Presenta: Harry StebbingsThe Cohere CEO discusses the economics of foundation models, enterprise adoption, AI agents and the future he hopes the technology will enable.







