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  1. a16z23 min

    Digital Freedom, AI Regulation, and the Fight for the Western Internet | The a16z Show

    Katherine Boyle, Sarah Rogers

    The U.S. administration is prioritizing the development of a "Western AI stack" to counter adversarial nations and dismantle prior State Department censorship apparatuses by redefining public diplomacy around user empowerment and free speech. Key figures like Under Secretary Rogers are leading an office restructuring that rejects opaque foreign information integrity initiatives while countering EU regulatory threats that use digital safety laws to penalize protected political expression. This strategy aims to align AI policy with First Amendment principles, ensuring that transparency, individualistic reasoning, and user-driven moderation tools serve as the primary defense against authoritarian models and foreign viewpoint-skewed legislation.

  2. Sequoia Capital27 min

    Waymo's Dmitri Dolgov: 20 Million Rides and the Road to Full Autonomy

    Dmitri Dolgov, Konstantine Buhler

    Dmitry Dolgov, Waymo's co-founder, outlines a 21-year evolution from DARPA challenges to a sixth-generation autonomous fleet that has achieved 200 million fully autonomous miles and delivered over 20 million rides with a safety profile 13 times superior to human drivers. The company's architecture utilizes a multimodal "Foundation Model" integrating physics reasoning and spatial understanding to power a structured, end-to-end system across 11 cities, now accelerating toward global expansion in London and Tokyo through the newly launched Waymo Origin vehicle. This mission-driven approach bypasses incremental improvements to rapidly scale commercial deployment, treating full autonomy as an existential imperative to eliminate the 13 million annual road fatalities while transitioning the core technology into a primary family transportation tool.

  3. Y Combinator38 min

    Recursion Is The Next Scaling Law In AI

    Ankit Gupta, Francois Chaubard

    Two 2025 research initiatives, Hierarchical Reasoning Models (HRM) and Tiny Recursive Models (TRM), challenge standard scaling laws by utilizing inference-time recursion to achieve state-of-the-art reasoning with drastically fewer parameters. HRM reaches 27 million parameters using a three-level weighted hierarchy, while the simplified TRM distills the architecture to just 7 million parameters yet achieves 87% accuracy on ARC-Prize benchmarks by treating recurrence as a dynamic latent memory tape. These systems overcome historical RNN limitations through Deep Equilibrium Models and latent recursion, offering a pathway to efficient, deep reasoning that diverges from traditional Chain-of-Thought constraints.

  4. Sequoia Capital28 min

    OpenAI's Greg Brockman: Why Human Attention Is the New Bottleneck

    Greg Brockman, Alfred Lin

    OpenAI executives estimate they are 80% toward achieving AGI, a milestone driven by aggressive compute acquisition strategies and architectural innovations that currently enable AI to autonomously engineer software kernels. The organization is pivoting toward an enterprise and consumer model where a single AGI entity handles complex goals, urging startups to leverage agentic coding tools for massive productivity gains while navigating a landscape where human attention has become the primary bottleneck. This shift is underpinned by anticipated scientific breakthroughs in physics and biology, alongside internal reforms designed to manage the risks of autonomous agents within a future where humans oversee teams of AI rather than writing code manually.

  5. Sequoia Capital32 min

    This is AGI: Sequoia AI Ascent 2026 Keynote

    Pat Grady, Sonya Huang, Konstantine Buhler

    This analysis outlines a $10 trillion market opportunity driven by a paradigm shift from information distribution to autonomous computation, where AI agents are rapidly replacing cognitive labor with agentic systems capable of long-horizon execution. Founders are advised to leverage the "MAD" model—focusing on customer moats, immediate affordance, and bridging the adoption diffusion gap—to capitalize on a timeline that compresses years of work into days. The event further projects that by 2026, the convergence of these technologies will trigger a cognitive industrial revolution, fundamentally redefining human value from task execution to relationship building and strategic oversight.

  6. Sequoia Capital20 min

    Robotics' End Game: Nvidia's Jim Fan

    Jim Fan

    NVIDIA Robotics is transitioning from language-centric VLA models to World Action Models like Dream Zero, which prioritize learning physical laws through video prediction to enable zero-shot generalization. This architectural shift is supported by a new data collection strategy replacing low-efficiency teleoperation with scalable egocentric video and neural simulators, establishing a log-linear scaling law between training hours and dexterity. Looking toward 2040, Jim Phan projects the industry will achieve a "Physical Turing Test," an orchestration "Physical API" for automated fleets, and "Physical Auto-Research" where robots autonomously improve their own designs.

  7. Sourcery with Molly O'Shea33 min

    The $10 Trillion Bet on Humanoid Robots | Figure Founder Brett Adcock

    Brett Adcock, Molly O'Shea

    Founded by Archer eVTOL creator Brett Adcock, Figure AI pursues the commercialization of general-purpose humanoid robots capable of operating autonomously for extended shifts across diverse industries. Having raised nearly $2 billion with a $39 billion valuation, the company recently terminated an OpenAI partnership to maintain control over its vertically integrated hardware and AI stack, aiming to triple production by May and deploy thousands of units within the year. Despite facing technical hurdles in scaling reliability, Figure projects a market opportunity worth trillions as it transitions from prototype testing to mass commercial deployment in homes and factories.

  8. Sequoia Capital27 min

    Demis Hassabis: We're Three Quarters of the Way to AGI

    Demis Hassabis, Konstantine Buhler, Dennis

    Demis Hassabis founded DeepMind with the strategic intent of leveraging game development revenue to fund the pursuit of artificial general intelligence, a goal he predicts will be realized by 2030. Following a pivotal breakthrough with AlphaFold that solved the protein folding problem, the organization expanded into Isomorphic Labs to accelerate drug discovery and is now pioneering the application of AI for scientific simulation in fields like biology and economics. Hassabis maintains that classical neural networks are sufficient to model complex biological systems and views information as the fundamental building block of the universe, positioning AI as the ultimate tool for understanding reality.

  9. Y Combinator41 min

    Demis Hassabis: Agents, AGI & The Next Big Scientific Breakthrough

    Demis Hassabis, Garry Tan

    DeepMind CEO Demis Hassabis projects Artificial General Intelligence will emerge around 2030, contingent on inventing specific architectural breakthroughs in continual learning and structured memory rather than merely scaling current methods. While deep tech startups are warned to anticipate AGI disrupting their decade-long cycles, the organization is simultaneously deploying efficient, modular "Flash" and open-source nano models to power edge devices and accelerate scientific discovery in fields like drug design and materials science. Ultimately, DeepMind advocates for interdisciplinary collaboration between AI and physical sciences to overcome current reasoning limitations and drive the next generation of autonomous agents.

  10. Y Combinator39 min

    Replit's CEO On The Only Two Jobs Left In The Company Of The Future

    Amjad Masad, Andrew Miklas

    Replit recently secured $400 million in Series D funding to achieve a $9 billion valuation while executing a strategic pivot toward "AI-native developers" who build software through natural language interactions with their Agent 4 system. By abstracting traditional coding behind multimodal AI agents, the platform enables non-engineers to rapidly deploy applications and reduce development costs by up to 70%, effectively shifting the company's focus from technical setup to high-level business orchestration. This product-led growth model empowers a diverse range of users, from solo entrepreneurs to enterprise teams, to accelerate idea velocity and build internal tools without requiring deep programming expertise or large engineering budgets.

  11. Sourcery with Molly O'Shea33 min

    Skydio HQ Tour: The $3.5B Bet on American Drone Manufacturing with CEO Adam Bry

    Adam Bry, Molly O'Shea

    An autonomous drone network delivers 24/7 public safety operations by deploying units from charging docks to locate missing persons, track suspects, and inspect infrastructure without human pilots. The system utilizes Beyond Visual Line of Sight waivers and Pathfinder AI to execute complex missions across diverse hardware, ranging from the indoor R10 tactical unit to the high-speed F10 fixed-wing prototype. Through a transparency portal and continuous real-world stress testing, the company has integrated these force-multiplier tools into law enforcement culture while scaling production for imminent general availability.

  12. Y Combinator22 min

    How to Make Claude Code Your AI Engineering Team

    Garry Tan, Gary

    Gary Tan, President and CEO of Y Combinator, has launched GStack, an open-source framework that restructures AI coding assistants into specialized engineering teams to overcome current limitations in model scaffolding. The system utilizes skills like Adversarial Review and the Office Hours query to automatically identify design flaws, generate multiple UI variants, and process hundreds of daily pull requests without traditional to-do lists. With over 70,000 GitHub stars, GStack shifts developer focus from manual coding to strategic oversight, enabling the management of parallel AI sessions to accelerate software factory operations from ideation to production.

  13. Sourcery with Molly O'Shea35 min

    Skydio Raises $110M Series F at $4.4B Valuation | CEO Adam Bry

    Adam Bry, Molly O'Shea

    Skydio recently closed an $110 million Series F round at a $4.4 billion valuation to scale its U.S.-manufactured autonomous drone fleet, which now secures a $50 million contract with the Army and serves 4,000 government and enterprise clients. The company differentiates itself from Chinese competitors through 100% domestic supply chain security and AI-driven agentic robotics that enable off-grid operations and reduce public safety response times by 70-80%. With plans to triple manufacturing capacity this year, Skydio aims to integrate its systems into 911 responses across the U.S. while expanding into energy utilities and battlefield intelligence.

  14. Y Combinator44 min

    How Stripe Built Their New Website

    Aaron Epstein, Katie Dill

    Over a year in the making, Stripe's comprehensive homepage redesign repositioned the company as a global financial infrastructure leader by replacing visual fatigue with a dynamic bento-grid layout and a manifesto-style narrative. The project leveraged AI tools to accelerate asset creation while maintaining rigorous human oversight to ensure the "billionth" transaction scale and live economic metrics conveyed trust to diverse user segments. By prioritizing progressive disclosure and intentional motion over traditional scrolling, the team successfully clarified value propositions ranging from micro-entrepreneurs to the 78% of Forbes AI 50 companies that now rely on the platform.

  15. Goldman Sachs22 min

    Farallon Capital's Nicolas Giauque on Investing for the Long Term

    Nicolas Giauque, Tony Pasquarello

    Under Managing Partner Nicolas Giac, Farallon Capital, a multi-strategy firm managing $44 billion, distinguishes itself through a unified partnership structure that prioritizes extraordinary risk-adjusted returns via concentrated portfolios and probabilistic modeling. Giac outlines current opportunities in merger arbitrage, Japanese governance reforms, and biotech long/short strategies while anticipating future private credit deployment as the market cycle turns toward refinancing needs. The firm's global expansion and succession framework support a strategy of providing liquidity during disruptions and generating alpha by solving problems for companies navigating the AI-driven industry transformation.