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Latest Interviews

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  1. Y Combinator42 min

    Garry Tan: The Future of AGI Is Personal

    Garry Tan

    The speaker advocates for "Personal AGI," a system of user-owned agents that process vast personal context on private infrastructure to drastically increase output and preserve cognitive independence. Drawing parallels to Baruch Spinoza's rejection of institutional compromise, the talk details how "skill files" and hybrid architectures enable individuals to replace traditional workforces with scalable, compounding digital labor. This shift promises to democratize high-level execution by allowing founders to achieve unprecedented economic leverage while retaining full ownership of their generated knowledge and intellectual tools.

  2. Y Combinator31 min

    Patrick Collison: Is AI Breaking the Lean Startup Playbook?

    Patrick Collison, Harj Taggar

    Patrick Collison shares his journey from dropping out of college twice to launching Stripe, emphasizing the critical role of retaining "cognitive L1 cache" over reliance on AI tools for deep reasoning. He highlights that while new business formation on Stripe has doubled and AI is accelerating revenue milestones, entrepreneurs should remain wary of decentralization fears and instead focus on solving visceral customer problems like legacy payment friction. Collison concludes by advising founders to build fundamental knowledge of first principles and to assess whether their chosen venture is a cause they are willing to pursue for decades.

  3. Sourcery with Molly O'Shea41 min

    AMD, Starcloud, Coatue..10 Hot Takes From The Biggest Names in AI

    Max Cook, Matan Grinberg, Pim de Witte, Philip Johnston, Mark Papermaster, Rodrigo Liang, Ramin Hasani, Robin Rombach, Chris Madden, Henri Delahaye, Molly, Philippe, Thomas

    At the RAISE Summit, industry leaders like Max Cook and Matan outlined a decisive shift toward agentic AI ecosystems that replace traditional interfaces with natural language and naturalize the routing between frontier and open-source models based on latency and cost. Concurrently, hardware giants such as SambaNova and StarCloud announced billion-dollar investments and space-based compute strategies to overcome power constraints and enable efficient inference on edge devices. This convergence of sovereign AI initiatives, supply chain scaling, and automated software engineering marks a global transition where enterprises treat AI as a deployed product rather than a research tool.

  4. Milken Institute27 min

    The American Dream at 250 | Global Conference 2026

    Jon Clifton, Michael Milken, Anousheh Ansari, Giselle Fernandez, Sanjay Gupta

    The Center for the American Dream Initiatives hosted a panel featuring Iranian-born astronaut Sanooch, journalist Giselle Fernandez, and surgeon Sanjay Gupta to highlight how immigrant resilience and access to opportunity fuel the national narrative. Drawing on personal histories and data showing that immigrants view the dream as most thriving despite falling institutional trust, the speakers argued that collective optimism is essential to overcoming domestic polarization. The event further unveiled an interactive, AI-enhanced mural honoring 68 immigrants, reinforcing the thesis that the United States continues to be the primary global destination for those seeking to build a future.

  5. Y Combinator32 min

    India Can Create The Largest AI Companies

    Puneet, Arnav, John, Ankit, Jared

    The event redefined the global startup paradigm by highlighting how India's deep technical talent enables founders to bypass traditional barriers and build meritocratic AI companies for the international market immediately. Speakers emphasized that success now hinges on founder agency, rapid learning, and the ability to leverage coding agents for extreme execution speed rather than on warm connections or established business models. To catalyze this shift, the program provided attendees with AI computing credits and facilitated co-founder networking to launch high-agency ventures within days.

  6. Y Combinator30 min

    How Meesho Became India’s Biggest Shopping App

    Vidit Aatrey, Ankit Gupta

    Founders Vidit Aatja and Sanjeev Bikhchandani established Meesho in 2016 to connect rural Indian sellers with consumers, eventually pivoting from a WhatsApp-based social commerce model to a direct-to-consumer app after Jio's data cost reduction enabled mobile app adoption. This bold 2021 strategic shift, which terminated the platform's core business to launch a native application, secured Meesho's dominance in the Indian market by capturing over 50% of the country's online commerce volume by 2026. Today, the company serves 250 million unique consumers and is deploying its proprietary "Vani" voice AI agent to further democratize e-commerce for rural users with low digital literacy.

  7. a16z39 min

    Marc Andreessen and Ben Horowitz on the State of AI

    Marc Andreessen, Ben Horowitz, Erik Torenberg

    Industry leaders assess that AI product evolution will likely follow historical cycles of radical interface shifts while facing immediate constraints from a severe talent shortage and a looming hardware transition from chip scarcity to power availability. Geopolitical analysis warns that although the U.S. currently leads in software innovation, a six-month gap combined with American deindustrialization risks allowing China to overtake the nation in the critical embodied robotics phase. Despite speculation about a market bubble, the consensus remains that demand currently exceeds supply, with long-term success ultimately determined by whether customers validate the technology and by how effectively legacy incumbents and new entrants execute superior product strategies.

  8. Y Combinator39 min

    From Idea to $650M Exit: Lessons in Building AI Startups

    Jake Heller

    Case Text, led by a founder who pivoted the company to artificial intelligence in summer 2022, was acquired by Thomson Reuters for $650 million following the successful launch of its Co-Counsel legal assistant. The speaker outlines a methodology for building reliable AI applications by combining domain expertise with granular workflow decomposition, rigorous evaluation metrics, and iterative prompt engineering to achieve near-human accuracy. Key strategic insights for scaling include adopting value-based pricing, prioritizing side-by-side human-AI pilots to build trust, and viewing proprietary data integration and evaluation frameworks as the primary sources of long-term defensibility.

  9. RAISE Summit23 min

    Alex Ratner, CEO & Co-Founder, Snorkel AI: Data Centric AI in the Agentic Era

    Alex Ratner

    Alex, co-founder of Snorkel.ai, argues that specialized agentic systems require robust evaluation benchmarks composed of prompt datasets, rubrics, and verifiers to serve as functional product requirements. His company provides data operations platforms to major US banks and federal agencies while demonstrating that custom-trained models using programmatic evaluators can outperform GPT-4 on complex insurance underwriting tasks. This approach establishes high-quality data and verification logic as the foundational prerequisites for optimizing Reinforcement Learning in enterprise environments.

  10. a16z27 min

    Software is Eating Labor

    Alex Rampell

    The speaker outlines a fundamental shift in the global software economy where autonomous AI agents replace human labor to capture the $13 trillion U.S. wage market, effectively transitioning SaaS from digitizing records to executing end-to-end workflows. This transformation necessitates a move away from seat-based pricing toward outcome-based models, exemplified by pilots at companies like Zendesk and startups that deploy AI to perform tasks ranging from freight negotiation to debt collection. Consequently, venture capital efforts are pivoting to identify enterprises that can fully leverage this automation to monetize vast labor markets previously inaccessible to traditional software solutions.

  11. Milken Institute29 min

    Singapore Defence Minister & Coordinating Minister for Public Services, Chan Chun Sing | Asia Summit

    Chan Chun Sing, Laura Deal Lacey

    Amidst global economic stagnation and rising political fragmentation mirroring the pre-World War II era, this event examines strategies to counteract protectionism through deliberate cooperation between governments and the private sector. Singapore's leaders outline four enduring competitive advantages—long-term policy consistency, progressive rule of law, strategic partnerships, and the SkillsFuture initiative—to demonstrate how investment in human capital can maintain social cohesion. The presentation concludes with a call for industry leaders to advocate for integrated global rules and prioritize workforce upskilling, ensuring that technological progress translates into shared prosperity rather than nativist backlash.

  12. RAISE Summit23 min

    Atindriyo Sanyal, CEO of Galileo: Making Enterprise Gen AI “Reliable”

    Atindriyo Sanyal

    Galileo, an AI evaluation platform founded by a former Siri architect, addresses the critical "measurement problem" plaguing generative AI by introducing a specialized observability framework designed to productionize complex RAG and multi-step agents. The company's proprietary Luna models provide sub-200ms real-time inference for dynamic guardrails and qualitative-to-quantitative error analysis, effectively solving the latency and accuracy trade-offs that typically hinder enterprise deployment. This approach enables Fortune 500 organizations to move beyond basic statistics and systematically identify nuanced failure patterns in data quality, tool execution, and security across high-stakes workflows.

  13. Y Combinator28 min

    Michael Truell: Building Cursor At 23, Taking On GitHub Copilot & Advice To Engineering Students

    Michael Truell, Diana Hu

    Founded by MIT graduates led by Michael Truel, Cursor pivoted from failed ventures in CAD and encrypted messaging to launch a custom AI-driven code editor in late 2022 with an aggressive vision to automate the future of software development. Leveraging a strategic shift to API-based models and a product-led growth approach, the team scaled rapidly from one million users in 2023 to over 100 million in 2024, capturing approximately 80% of YC batches. This rapid adoption was driven by features emphasizing codebase awareness and speed, reinforcing the founders' long-term outlook that AI will transform the industry into a collaborative ecosystem where programming fundamentals remain critical for reviewing and editing AI-generated logic.

  14. Y Combinator27 min

    Nobel Laureate John Jumper: AI is Revolutionizing Scientific Discovery

    John Jumper

    Google DeepMind leader John Jumper presents AlphaFold 2, an AI system that revolutionizes structural biology by accurately predicting protein 3D structures to bridge the massive gap between sequenced genes and experimentally solved forms. The technology's superior accuracy, validated by a thirty-fold reduction in error rates at CASP14 and the release of over 200 million predictions, has accelerated drug discovery and enabled novel applications like re-engineered molecular syringes for targeted therapy. This shift allows experimentalists to advance the pace of biological research by 5 to 10 percent, transforming AI from a narrow computational tool into a fundamental amplifier for scientific discovery.

  15. Y Combinator44 min

    Andrew Ng: Building Faster with AI

    Andrew Ng

    AI Fund accelerates startup velocity by co-founding approximately one venture monthly through direct code writing and feature definition, leveraging agentic AI workflows to address complex tasks in sectors like healthcare and legal compliance. The organization emphasizes concrete product hypotheses and agile prototyping to shift engineering bottlenecks toward product management, thereby altering standard PM-to-engineer ratios to 0.5:1 while empowering non-engineering staff with coding literacy. Strategic guidance further stresses that rapid iteration and ethical filters outweigh speculative narratives, prioritizing application-layer revenue generation and open-source accessibility over fears of existential risk or regulatory gatekeeping.