Latest Interviews
Showing 1–15 of 236 transcripts.
Clear all filters- Y Combinator1h 0m
Self-Improving Harnesses, Local Personal AI And YC's Agent For Work | YC Paper Club
Seth Karten, Jon Saad-Falcon, Josh France, Regan Bell
YC Harness Club researchers demonstrate that "self-improving harnesses" capable of modifying their own code and memory have driven Arc AGI success rates from 30% to 100%, surpassing standard prompt engineering by leveraging recursive learning architectures. Presentations by Seth and John Sad Falcone detail specific implementations like Prime Agent's multi-tier context management and OpenJarvis's local on-device stack, which collectively achieve frontier-level performance while reducing costs by 800x and enabling autonomous long-horizon research. Furthermore, the QM project establishes a centralized cloud-hosted framework with dynamic sandboxing and fine-grained permissions, addressing critical challenges in system-wide coordination and data security for scalable multi-agent deployment.
- Y Combinator21 min
Paul Graham On Startups, Ambition, and Great Founders
Paul Graham delivered his 47th Y Combinator batch talk, highlighting a shift toward high-seriousness ventures in logistics and cancer research while defining founder ambition through the "formidable" archetype of those who consistently achieve their goals. Graham analyzed the current AI landscape, noting its uneven "jagged frontier" and the economic reality that token costs now eclipse salaries despite rapid price declines. He concluded that Y Combinator's ecosystem remains vital for peer collaboration and that the next trillion-dollar company will emerge not from a specific idea but from formidable founders capable of adapting to shifting market conditions.
- Y Combinator1h 0m
Max Junestrand: You Need The Willingness To Learn Faster Than Anyone Else
Max Junestrand, Gustav Omstrammer
Legora has scaled from three Swedish engineers to over 750 employees, generating $100 million in annual recurring revenue while deploying an agentic AI operating system that now serves three percent of the world's lawyers. Following a strategic pivot after a $35 million funding round revealed revenue lagged behind interest costs, the company shifted focus from growth velocity to product-market fit by freezing sales and transitioning to proactive, autonomous agents. Founded by Max, August, and Sigge, the firm differentiates itself through a high-intensity culture designed to overcome Scandinavian humility, recently securing talent at a 23-year-old salesperson who generated over $10 million without prior industry experience.
- Y Combinator53 min
Going In Deep On Data | YC Paper Club
Francois Chaubard, Vincent Sunn Chen, Volo Kuleshov, Shayne Longpre
Industry experts from Snorkel, Inception Labs, and MIT articulate a paradigm shift where data has evolved from a passive resource into a $100 billion sector requiring complex product craftsmanship and continuous expert supervision. Presentations detailed breakthroughs such as Snorkel's Senior SWE-bench with validation agents, Inception's Mercury 2 diffusion model achieving 1,000+ tokens per second, and novel cross-lingual scaling laws that optimize low-resource language performance. These developments collectively redefine the production frontier by demonstrating that architectural advances alone are insufficient without scalable data programming and domain-specific synthetic environments to resolve real-world distribution gaps.
- Y Combinator40 min
Michael Kratsios: Inside the White House's AI Strategy
White House OSTP Director Michael Kratos advocates for an AI strategy that prioritizes open-weight models and rejects rigid regulatory thresholds, emphasizing a unified national standard to prevent incumbents from stifling startups. Through the report *A New Golden Age for Science*, the administration proposes shifting federal research funding toward private sector leadership while accelerating scientific breakthroughs via autonomous cloud labs and rapid-grant mechanisms. This approach complements President Trump's executive order on quantum computing and a broader "born free" philosophy that aims to remove barriers for digital technologies while carefully managing specific physical risks.
- Y Combinator52 min
Susan Kare: How I Designed the Original Apple Mac Icons
Iconographer Susan Kerr recounts her pivotal role in shaping early Macintosh interfaces, from designing the "Chicago" font to creating iconic symbols like the "Happy Mac" boot screen under strict pixel constraints. Drawing on her experiences at Apple, Microsoft, and Facebook, she advocates for minimalist design principles that prioritize meaningful metaphors over product-specific imagery to ensure universality and longevity. Her career highlights how simple, salient details and strict limitations can foster creativity, ultimately defining the visual language of modern computing interfaces.
- Y Combinator58 min
Chelsea Finn: This is the State of the Art in Robotics
Physical Intelligence has advanced its PI-07 foundation model to achieve general-purpose physical AI capable of zero-shot generalization across diverse appliances and robots without task-specific retraining. By integrating multi-timescale memory and optimized reinforcement learning strategies, the organization significantly improves task throughput and reliability for complex manipulation scenarios like kitchen workflows. Currently deployed by YC-backed companies for real-world applications, these models represent a shift toward "out-of-the-box" generalist agents that can operate autonomously in unstructured environments.
- Y Combinator42 min
Peter Steinberger: What Happens When 4.7 Million People Let It Cook
Launched in November 2024 by a solo developer to solve personal automation needs, the open-source agent project "OpenClaw" rapidly evolved into a viral community initiative that engaged over 18,000 contributors and achieved 4.7 million weekly downloads by mid-2025. Rather than accepting venture capital or acquisition offers, the founder established a 501(c)(3) non-profit status with Nvidia support to maintain independence while addressing security misconceptions and refining the architecture for multimodal voice interactions. The project's trajectory highlights a strategic shift from proprietary models to open-weight alternatives, ultimately serving as a case study on sustaining developer velocity through personal enjoyment and rigorous community governance.
- Y Combinator1h 24m
Why Robotics Still Isn't Solved - But Could Be Soon | YC Paper Club
Francois Chaubard, Marcel Torne, Milan Ganai, Tyler Ga Wei Lum, Niko West, Bill Jiao, Guanming Wang, Shyam Gollakota
Recent industry presentations address critical scaling barriers in robotics, including Sim-to-Real gaps, deformable object handling, and the lack of sensory feedback by introducing specialized architectures like Multi-Scale Embodied Memory and self-supervised Chain of Thought frameworks. Concurrently, a strategic shift toward "Robotics Application Companies" emphasizes proprietary data collection and teleoperation over generalist models, while new World Action Model optimizations reduce inference latency to enable real-time physical AI deployment. These technical and business advancements collectively aim to transition robotics from isolated demos to mass-market, long-horizon task execution.
- Y Combinator57 min
Max Hodak: Average Is Not Good Enough
Max Hodak, CEO of deep-tech startup Science, details the company's solar-powered retinal prosthesis that successfully enabled a patient to read a 300-page novel following major clinical trials. The discussion outlines Science's operational strategy, which includes the proprietary Helix purchasing platform to accelerate hardware procurement and an Eigenreviews performance system utilizing eigenvector centrality for continuous employee evaluation. Hodak further argues that success in brain-computer interfaces relies on high-speed iteration, mission-driven leadership, and building custom internal tools rather than relying on generic enterprise software.
- Y Combinator56 min
How To Design In The Agent Era
Led by Stephen Haney, Paper is an AI-native design platform currently ranking as the third most-used tool behind Figma and Sketch, utilizing a native HTML and CSS rendering engine to facilitate precise agent collaboration. The application distinguishes itself by treating code as the single source of truth, offering features like direct React component handoff and an MCP server that allows autonomous agents to manipulate local repositories and design canvases. While the team prioritizes human curation to maintain design quality against common AI aesthetic pitfalls, the platform is rapidly evolving into a visual coordination layer for the broader agent ecosystem by integrating tools like Paper Shaders and multi-model image generation.
- Y Combinator42 min
Garry Tan: The Future of AGI Is Personal
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.
- Y Combinator49 min
Waymo Co-CEO Dmitri Dolgov: The Demo Is Only 1% Of The Work
Waymo has advanced its fully autonomous fleet to operate 500 weekly trips across 15 U.S. cities, achieving a safety record 17 times better than human drivers through a multimodal sensor architecture and a foundation model utilizing both fast geometric reactions and slow semantic reasoning. The company addresses the unique challenges of physical AI by integrating real-world data into a generative simulation ecosystem that creates rare edge cases for training, while its "Safety and Readiness Framework" rigorously validates performance to ensure public trust and regulatory compliance. Looking ahead, this structural augmentation and flywheel of agent, simulator, and critic data positions Waymo to expand its technology beyond personal vehicles into trucking and broader physical applications.
- Y Combinator31 min
Patrick Collison: Is AI Breaking the Lean Startup Playbook?
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.
- Y Combinator1h 16m
Kernels and Chips: Cursor, NVIDIA, and Meta Researchers on GPU Performance | YC Paper Club
Stuart Sul, John, Francois Chaubard, Jon Saad-Falcon, Mark Saroufim, Misha Smelyanskiy, Brennan Shacklett
The event synthesizes critical industry shifts toward specialized ASICs and disaggregated architectures that separate training and inference workloads to maximize intelligence per watt. Technical deep dives highlight breakthroughs in multi-GPU kernel optimization and local inference, demonstrating that consumer accelerators can now deliver nearly 90% of frontier model utility while reducing energy costs by 70%. These innovations collectively address systemic bottlenecks in network communication and latency, establishing a roadmap for distributed, cost-efficient AI ecosystems that minimize reliance on centralized cloud resources.