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1:07:41ENEdwin Chen on Building Surge and the Data Behind AI ModelsGast: Edwin Chen · Moderation: 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 CodingGast: Mike Krieger · Moderation: 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 HardwareGast: Steeve Morin · Moderation: 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 RaceGast: Jonathan Ross · Moderation: 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 DevelopmentGast: Eiso Kant · Moderation: 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 ModelsGast: Zico Kolter · Moderation: 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 BenchmarksGast: Arvind Narayanan · Moderation: 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 AIGast: Aidan Gomez · Moderation: Harry StebbingsThe Cohere CEO discusses the economics of foundation models, enterprise adoption, AI agents and the future he hopes the technology will enable.
58:18ENDavid Luan on Model Scaling, AI Agents and Competition Across the Chip StackGast: David Luan · Moderation: Harry StebbingsThe Adept co-founder explains his views on compute, vertical integration, enterprise agents and why human interaction should shape AI product design.
1:06:04ENAlexandr Wang on AI Data, Model Development and Building ScaleGast: Alexandr Wang · Moderation: Harry StebbingsScale’s founder discusses his data-bottleneck thesis, enterprise adoption, AI security and the challenges of growing a team.
1:03:12ENAravind Srinivas on Reasoning, Model Economics and Building PerplexityGast: Aravind Srinivas · Moderation: Harry StebbingsThe Perplexity co-founder discusses AI scaling, foundation-model competition, advertising and the challenges of building a search product.







