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Latest Interviews

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  1. Y Combinator44 min

    Fei-Fei Li: Spatial Intelligence is the Next Frontier in AI

    Fei-Fei Li, Diana, Alex, Karl, Yashna, Annie

    Dr. Fei-Fei Li, founder and CEO of World Labs, leads a team of renowned technologists to develop spatial intelligence and 3D "world models" as the essential pathway to achieving Artificial General Intelligence. The venture addresses the unique mathematical and physical complexities of reconstructing and generating the three-dimensional world, distinguishing its approach from current language-centric large language models. By combining rigorous data quality standards with a focus on fundamental, interdisciplinary research, the company aims to power next-generation applications ranging from the metaverse to advanced scientific discovery.

  2. Y Combinator36 min

    Legendary Consumer VC Predicts The Future Of AI Products

    Kirsten Green, Gary

    The event analyzes the rapid consumer adoption of conversational AI as a platform shift driving a transition toward emotional operating systems that prioritize long-term user relationships over mere utility. Industry leaders and investors highlight critical strategies for navigating this landscape, including the necessity of product-led growth, the emergence of voice interfaces, and emerging investment opportunities in proactive health, wellness, and personal security sectors. Ultimately, the discussion outlines a future where successful startups leverage generative AI's continuous learning capabilities to build specialized, category-defining experiences rather than relying on generic chat interfaces.

  3. Y Combinator41 min

    Satya Nadella: Microsoft's AI Bets, Hyperscaling, Quantum Computing Breakthroughs

    Satya Nadella

    Satya Nadella frames the current era as a fourth platform shift driven by AI, cloud infrastructure, and supercomputers, predicting a transition where software engineers evolve into architects managing autonomous agents. He identifies change management as the primary deployment barrier and outlines a strategy where Microsoft utilizes forward deployment engineers to help organizations restructure workflows for "over-constrained" problems in sectors like healthcare and education. Looking ahead, Nadella emphasizes that future growth depends on resolving energy constraints, establishing trust, and developing first-class systems for memory and tool use to maximize social surplus.

  4. Y Combinator43 min

    Sam Altman: The Future of OpenAI, ChatGPT's Origins, and Building AI Hardware

    Sam Altman

    OpenAI CEO Sam Altman projects that superintelligence will arrive within two decades while declaring the current era the optimal moment to launch companies due to the convergence of reasoning models, falling costs, and new hardware. He outlines a strategy where OpenAI serves as a platform for third-party innovation rather than building all applications, emphasizing the imminent release of powerful open-source models and the integration of AI into robotics and energy infrastructure. Altman further advises founders to prioritize velocity and unique concepts over established pedigrees, warning that the path to success requires immense resilience against skepticism while pursuing radical technological abundance.

  5. Y Combinator40 min

    Andrej Karpathy: Software Is Changing (Again)

    Andrej Karpathy

    The presentation outlines the evolution of software from human-written code to neural network weights and finally to natural language prompts, establishing Large Language Models as a new operating system layer. It details the current infrastructure challenges, cognitive limitations such as hallucination and memory loss, and the strategic shift toward "partial autonomy" systems that maintain human oversight through granular verification loops. Ultimately, the industry faces a transitional decade requiring developers to rewrite existing codebases for agent interaction while managing new risks associated with centralized intelligence infrastructure.

  6. Y Combinator1h 1m

    Alexandr Wang: Building Scale AI, Transforming Work With Agents & Competing With China

    Alexandr Wang, Jared

    Meta has committed to investing over $14 billion in Scale AI, valuing the company at $29 billion while appointing Alexander Wang to lead its new AI superintelligence lab. Under Wang's direction, Scale is pivoting from its origins in data labeling to building agentic workflows for enterprise and government sectors, leveraging proprietary data and specialized fine-tuned models to differentiate in a fragmented market. The partnership aims to accelerate scientific breakthroughs and develop military applications like the Thunderforge system, positioning the company to manage a future economy where human operators oversee swarms of autonomous AI agents.

  7. Y Combinator37 min

    Cursor CEO: Going Beyond Code, Superintelligent AI Agents, And Why Taste Still Matters

    Michael Truell, Garry, Mark Mandelbaum, Chris Banes, Francesc Campoy Flores, Brian Dorsey Kiselman

    AnySphere, the creator of the Cursor IDE, achieved a $9 billion valuation and $100 million in ARR within 20 months by processing over half a billion daily AI model calls and automating roughly half of current code production. Founder Michael Trull outlines a strategic shift from productivity aids to autonomous agents that allow non-developers to define software logic while addressing technical hurdles like context window limits and the need for continuous organizational learning. The company's long-term vision aims to transform software engineering into a paradigm where humans act as logic designers and the distribution feedback loop serves as the primary competitive moat against traditional coding methods.

  8. Y Combinator8 min

    Fusion Energy Will Power the AI Boom

    Gustaf Alströmer

    Helion Energy is accelerating commercial fusion development by deploying a compact, linear machine that uses helium-3 fuel and direct energy capture to bypass traditional inefficiencies and safety concerns. The company recently secured a strategic partnership with Microsoft to power a data center, marking a pivotal shift from experimental research to real-world utility deployment. With this transition, Helion aims to establish the world's first affordable, carbon-free electricity source that cannot be weaponized, potentially transforming global energy standards within a decade.

  9. Y Combinator31 min

    State-Of-The-Art Prompting For AI Agents

    Garry, Harj, Diana, Jared

    Industry leaders are advancing LLM agents beyond 1995-era prompting by establishing layered architectures that separate system logic from customer-specific context, utilizing meta-prompting techniques to dynamically refine instructions. Founders are simultaneously securing competitive moats by physically embedding with domain experts to generate high-quality evaluation datasets that translate deep operational knowledge into proprietary assets. This "forward-deployed" model, combined with specialized debug tools and distinct model behavioral archetypes, enables rapid scaling of seven-figure enterprise deals through continuous, data-driven prompt optimization.

  10. Y Combinator30 min

    How To Design Better AI Apps

    Tom, Dave, Pete Koomen

    Pete Kuhman argues that most current AI software applications are merely legacy interfaces retrofitted with basic chat capabilities rather than being re-engineered as true "action-oriented" agents. He proposes a shift where users can customize or auto-generate system prompts to transform AI from a generic text generator into a tool that executes complex, multi-step workflows across different software environments. Supported by Y Combinator's internal implementation of such agents, this paradigm aims to replace manual prompt engineering with personalized, autonomous systems that handle routine cognitive tasks.

  11. Y Combinator19 min

    How AI Coding Agents Will Change Your Job

    Tom Blomfield, David Lieb

    Tom Blomfield and other Y Combinator founders describe a rapid shift where AI coding tools have surged to 50% adoption, enabling individuals to generate massive software artifacts and achieve tenfold productivity gains. This technological leap promises to replace traditional software engineering roles within a decade, transitioning the industry toward small, owner-led teams that manage AI agents rather than writing code manually. While these advances create unprecedented opportunities for solo founders to build valuable companies with minimal capital, the broader displacement of white-collar workers in fields like law and medicine is expected to trigger significant societal turbulence over the coming decades.

  12. Y Combinator53 min

    Windsurf CEO: Betting On AI Agents, Pivoting In 48 Hours, And The Future of Coding

    Varun Mohan, Mark Mandelmann, Jr., Melanie Warrick, Amanda Schade, Mark Blyth

    Windsurf, led by founders who pivoted from GPU virtualization to AI coding tools in 2022, has rapidly scaled to over one million developers and achieved eight-figure annual revenue without a dedicated sales team. The company differentiates itself through an "agentic editor" that handles codebases exceeding 100 million lines by combining AST parsing with real-time GPU re-ranking, enabling automated legacy migration and multi-step code execution. This rapid growth was driven by a strategy of immediate product iteration, such as transforming a VS Code extension into a standalone IDE to overcome architectural limitations, all while maintaining a hiring philosophy centered on engineers capable of executing high-stakes pivots.

  13. Y Combinator17 min

    How To Get The Most Out Of Vibe Coding | Startup School

    Tom Blomfield

    The session establishes "vibe coding" as a disciplined engineering practice, recommending specific tool strategies such as using Replit for novices and dual-workflow setups with Cursor and Windsurf for experienced developers. It outlines a rigorous methodology involving architectural planning, modular Git-based implementation, and strict error handling protocols to manage AI-generated code effectively. The discussion further analyzes current model capabilities, highlighting Claude Sonnet 3.7 for implementation and Gemini for planning, while noting expected performance shifts due to training data biases in frameworks like Ruby on Rails.

  14. Y Combinator38 min

    How Zepto Became India’s Fastest Growing Startup

    Garry, Aadit Palicha

    Zepto co-founders Aadit Palicha and Aadit Palicha (KB) scaled a Mumbai-based grocery startup into a $5 billion unicorn by pioneering a "customer backward" dark store model that delivers 1.5 million daily orders across 50 Indian cities in ten minutes. The company achieved financial efficiency by breaking even just over two years ago despite a global capital freeze, while diversifying revenue streams through advertising and new verticals like Zepto Cafe. Driven by a long-term vision to rival global giants like Amazon, Zepto leverages generative AI and a cost-effective Indian talent pool to expand beyond groceries into electronics and general merchandise.

  15. Y Combinator8 min

    The Next Breakthrough In AI Agents Is Here

    Garry Tan

    Chinese startup Manus has officially launched a general-purpose AI agent that leverages Anthropic's Claude 3.7 Sonnet to orchestrate a multi-agent system capable of executing complex real-world tasks. The platform achieved an 86.5% score on the GAIA benchmark and offers transparent, customizable workflows at a cost of approximately $2 per task, effectively positioning itself as a sophisticated alternative to opaque single-model competitors. While critics question its reliance on existing foundational models, co-founder Yiqiao Peek Ji defends the strategy as a deliberate focus on architectural innovation and user experience rather than model development.