Gemini 3 Launch, Big Tech Backs Anthropic, OpenAI Adds Fidji Simo | Jonathan Neman, Mike Knoop, Ashlee Vance, Jeremy Epling, Keone Hon, Stephen Balaban
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AI Infrastructure, Power, and the Compute-Generation Feedback Loop
Hosts and guests debate power procurement, behind-the-meter generation, and how AI models accelerate infrastructure planning.
Play episode from 03:10:06
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Episode notes
- (00:34) - Gemini 3 Launch
- (30:54) - Mike Knoop, co-founder and Head of AI at Zapier, discussed the significant advancements of Google's Gemini 3 model, highlighting its achievement of doubling the state-of-the-art performance on the ARC v2 benchmark. He noted that, despite this progress, the model still exhibits unexpected errors on simpler tasks, suggesting areas for further research. Knoop emphasized the need for new ideas to address these challenges and expressed optimism about the potential for mass automation enabled by AI reasoning systems.
- (59:11) - Jonathan Neman, co-founder and CEO of Sweetgreen, discusses the journey of starting the company in 2007 with two friends during their senior year at Georgetown University, aiming to create a healthy fast-food alternative. He highlights the challenges of scaling the business, including decisions against franchising to maintain quality, and the integration of automation like the "infinite kitchen" to enhance efficiency. Neman also addresses adapting to consumer trends, such as eliminating seed oils from their menu, and emphasizes the importance of strategic real estate choices and responding to evolving customer preferences.
- (01:32:38) - Ashlee Vance is an American journalist and author, renowned for his 2015 biography of Elon Musk and his work as a feature writer for Bloomberg Businessweek. In the conversation, Vance discusses his recent travels across the U.S. to film episodes on hard tech innovations, including visits to Tennessee, Detroit, New England, and Texas. He delves into topics such as humanoid robotics, the dominance of Chinese manufacturers in actuator production, and the challenges facing the U.S. robotics industry. Vance also shares insights on under-hyped hard tech companies, the progress of autonomous vehicles, and the potential resurgence of airships for cargo transport.
- (02:01:15) - š¯•¸ Timeline Reactions
- (02:09:34) - OpenAI Adds Fidji Simo
- (02:19:06) - Saudi Arabia to Invest $1T in the U.S.
- (02:21:46) - Valar Atomics Splits Atom
- (02:27:58) - Jeremy Epling, Chief Product Officer at Vanta, discusses the company's recent VantaCon conference in San Francisco, highlighting the launch of their Agentic Trust Platform aimed at transforming enterprise trust management. He emphasizes the integration of AI to automate security and compliance tasks, addressing challenges like AI trustworthiness and the evolving threat landscape. Epling also outlines Vanta's approach to proactive risk management through AI-driven insights and partnerships with other security firms to enhance their platform's capabilities.
- (02:41:28) - Keone Hon, co-founder and CEO of Monad Labs, discusses his transition from leading high-frequency trading teams at Jump Trading to developing Monad, a high-performance blockchain designed for High Fidelity Finance. He highlights Monad's compatibility with Ethereum, enabling developers to leverage existing code and tools while benefiting from significantly higher transaction throughput. Hon also emphasizes the importance of broad token distribution and community engagement, drawing parallels to Dogecoin's widespread adoption, and notes that Monad has raised approximately $120 million, with the token sale open until Saturday at 9 pm Eastern.
- (02:51:12) - Stephen Balaban, co-founder and CEO of Lambda Labs, leads the company in providing advanced GPU infrastructure for AI developers and researchers. In the conversation, he discusses Lambda's recent $1.5 billion equity funding round, emphasizing the company's conservative capital structure and focus on building a robust, long-term business resilient to market fluctuations. Balaban also highlights Lambda's strategic investments in GPU infrastructure and data centers, aiming to vertically integrate operations to accelerate the deployment of AI infrastructure.
- (03:10:15) - š¯•¸ Timeline Reactions
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