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  1. Y Combinator50 min

    Blake Scholl: How 50 People Built a Supersonic Jet

    Blake Scholl

    Founded by Blake Scholl in 2014, Boom Supersonic successfully developed the XB-1, the first privately built jet to break the sound barrier, using a lean team and software-driven engineering to overcome decades of aviation stagnation. This historic flight directly catalyzed a shift in US federal policy, prompting an Executive Order that legalized supersonic flight over land and clearing the path for the upcoming Overture airliner. By vertically integrating manufacturing and creating revenue through ground-based engines, the company aims to double global travel speeds while eliminating the traditional sonic boom barrier.

  2. Milken Institute52 min

    Tradewinds: Navigating Economic Uncertainty | Global Conference 2026

    Gerard Baker, Whitney Baird, Xavier Bettel, John Denton, Francisco Pérez Mackenna, Michael Roberts, Jerry Baker

    A global economic panel consensus identifies a critical inflection point where geopolitical volatility and policy unpredictability are driving nearly $250 billion in annual lost activity while compelling nations to prioritize supply chain resilience over pure free trade. Amidst rising food security threats from conflicts in the Middle East and evolving US-China de-risking strategies, leaders are exploring plurilateral arrangements and technological solutions to manage these disruptions. Ultimately, the event highlights a shift toward strategic autonomy and green energy innovation as essential mechanisms to mitigate inflationary pressures and narrow the widening gap between the Global North and South.

  3. InstituteofTrading59 min

    The Dirty Secrets of Trading Revealed

    Anton, Raj, Jason, Rush

    The Institute addresses retail traders' information overload and predatory educational practices by implementing rigorous mentorship programs led by verified professionals from major financial institutions. By enforcing zero percent IB agreements and promoting strict risk management frameworks, the organization has shifted industry incentives, grown a community managing $150 million in daily risk, and achieved Sharpe ratios between 1.4 and 2.6. Through collaborative efforts with regulators like the FCA, the Institute successfully transitions students from unverified losses to institutional-grade performance by emphasizing quantitative back-testing and downside protection over speculative volume.

  4. Y Combinator48 min

    What Actually Makes A Startup Durable

    Paul Graham and YC partners outline a strategic framework for navigating the AI era, emphasizing that while AI increases individual productivity by 1,000x, founders must target "hard" problems with durable moats to survive market saturation. The session advises building companies through co-founders who provide essential emotional support rather than just complementary skills, noting that human judgment remains critical for community building and navigating high-stakes pivots. Finally, students are offered over $25,000 in AI credits to neutralize geographical disadvantages, reinforcing the program's focus on rapid execution and deep market engagement over theoretical development.

  5. Sourcery with Molly O'Shea1h 9m

    BlackRock's Tony Kim on AI's Next Winners? Chips, Memory, Robotics & Quantum

    Tony Kim, Molly O'Shea

    Kim outlines a fundamental shift in the global technology sector where a $30 trillion hardware-centric economy is driven by a 10,000x increase in compute density and severe memory shortages known as the "Rampocalypse." Leading institutions are responding through silicon co-design and gigawatt-scale energy infrastructure while BlackRock allocates capital toward immediate compute needs and long-term bets on quantum and orbital data centers. The narrative concludes with strategic observations on China's robotics acceleration and the restructuring of traditional enterprises into AI-native entities through proprietary token flow architectures.

  6. Stanford Online56 min

    Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | The GPU Economy

    Sunny Madra, Brad Gerstner, Apoorv Agrawal

    Brad Gerstner of Altimeter Capital and Grok co-founder Sonny Maduro outline a transformative shift where AI distribution costs are now compute-intensive, driving the integration of deterministic architecture with Nvidia's GPU ecosystem to accelerate inference. This strategic fusion, which led to Nvidia's $20 billion acquisition of Grok, enables a 2.5x increase in token generation while addressing critical power and memory constraints to support the transition from chat-based tools to autonomous agents. As the industry approaches Artificial General Intelligence faster than anticipated, the convergence of these hardware innovations and emerging regulatory frameworks aims to redefine global economic output and the future value of human labor.

  7. Sequoia Capital1h 9m

    The Philosopher CEO | Clay Co-Founder Kareem Amin

    Clay Co-Founder Kareem Amin, Kareem Amin, Varun, Nikolai, Mike Vernal, Pete Caputa, Jack Dorsey, David Solomon, Tarek

    Clay CEO Kareem guides his company through a "long strange trip" of pivoting from broad ambitions to the specific niche of Go-to-Market Engineering, where he prioritizes radical transparency and usage-based pricing to align with technical users. By rejecting standard management dogmas in favor of "momentum detective" leadership and "deep work" practices, Kareem fosters a culture of devotion that withstands pricing backlash and drives a unique product philosophy valuing flexibility over simplicity. This strategy successfully established a new market category while navigating a five-year period of ambiguity to achieve product-market fit without relying on external validation.

  8. Sourcery with Molly O'Shea1h 5m

    David Friedberg Explains America's Economic Crisis in 60 Minutes

    David Friedberg, Molly O'Shea

    David Friedberg warns that the United States faces potential social collapse within two years due to policy failures that exclude the bottom 50% from capital ownership, a structural gap he estimates represents a $33 trillion wealth disparity. He advocates for replacing Social Security and Treasury-bond-heavy pension systems with equity-based individual accounts, while proposing a 40% capital gains tax and a national goal of shifting 2% of Americans to capital ownership annually. Friedberg argues these reforms, alongside closing inheritance loopholes and eliminating income tax for the bottom earners, are essential to prevent a socialist death spiral and restore economic mobility before the chaotic political landscape of 2028.

  9. 80,000 Hours1h 6m

    What AI insiders say off the record | Jasmine Sun

    Jasmine Sun, Zershaaneh Qureshi

    A consensus among AI researchers predicts mass displacement of knowledge workers and the emergence of a permanent underclass, driving a critical brain drain where top talent concentrates in a few frontier labs to secure equity. This technological determinism is reinforced by a polarized ecosystem where safety concerns are weaponized as political slurs while a diverse coalition of "AI populists" organizes against corporate power without traditional unions to mediate the transition. Consequently, policy efforts face a high demand for action but a shortage of solutions, with success hinging on addressing public distrust rooted in inequality and building cross-issue coalitions with newly activated labor and environmental advocates.

  10. a16z1h 20m

    Why Physical AI Is the Next Frontier | Applied Intuition with a16z

    Marc Andreessen, Erik Torenberg, Qasar Younis, Peter Ludwig

    Founded by Peter Cawthorne, Applied Intuition is launching its "Dana" platform to democratize the development of physical AI for non-automotive sectors like mining, agriculture, and defense. Operating as a horizontal technology provider similar to Nvidia, the company leverages a decade of proprietary data collection and rigorous safety validation to help clients navigate the complex hardware integration required for real-world autonomy. With over $1 billion in cash reserves, the firm aims to scale operations that could outperform traditional digital giants within the next 25 years while challenging legacy manufacturing models through vertical-free deployment.

  11. Sequoia Capital52 min

    Factory's Matan Grinberg: The Coming ‘Dark Factory’ Where Software Builds Itself

    Matan Grinberg, Sonya Huang, Pat Grady

    Factory CEO Matan Cohen refunded nearly $2 million in early revenue to pivot the company from premature autonomous agents to a model-agnostic architecture that prioritizes customer obsession over vendor lock-in. By launching the Droid CLI and implementing a "Model Router" that dynamically allocates tasks between open-weight and frontier models, the firm has shifted its business model toward outcome-based pricing that replaces token consumption with result-oriented billing. This strategy positions Factory to navigate an impending market correction while transitioning enterprises from synchronous tool usage to asynchronous "dark factories" that autonomously resolve complex issues.

  12. Sourcery with Molly O'Shea57 min

    SemiAnalysis, Altimeter, Nebius, Glean.. 12 Hot Takes From Biggest Names in AI

    Dylan Patel, Qasar Younis, Apoorv Agrawal, Arvind Jain, Ariel Cohen, CJ Desai, Gil Feig, Nikhil Benesch, Barak Kaufman, Max Junestrand, Marc Boroditsky, Laura Diorio, Kasser, Mark

    RAISE Paris marked a decisive industry shift from speculative hype to enterprise-grade cost reconciliation, as buyers now demand clear ROI and physical AI adoption outpaces volatile large language model growth. Key figures including Applied Intuition's Kasser and analysts from Altimeter Research warned of an impending market bust driven by unsustainable spending, while companies like Navan and TurboPuffer demonstrated new economic models focused on profitability and reduced inference costs. The event concluded with a consensus that success requires resilient multi-model strategies, robust data layers, and a global expansion mindset to navigate rising hardware prices and geopolitical energy constraints.

  13. All-In Podcast1h 30m

    Can the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters

    Demis Hassabis, Mira Murati, Jason Calacanis, Chamath Palihapitita

    DeepMind's Demis Hassabis and major industry leaders are advancing a US-led self-regulatory organization for AI that prioritizes independent expert oversight over government agencies to prevent global developmental stagnation. While this framework aims to manage catastrophic risks through voluntary-to-mandatory adoption, skepticism remains regarding potential regulatory capture by major labs and competing strategies to impose stricter federal certifications. Concurrently, the sector faces disruptive financial and legal dynamics, including a proposed Stripe-PayPal-Block merger and a high-profile trade secret lawsuit between Apple and OpenAI, as the industry navigates severe energy constraints and a widening cost gap between enterprise and frontier models.

  14. Stanford Online49 min

    Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Applications, AI in Life Sciences

    Eric Kauderer-Abrams, Apoorv Agrawal, Eric Abrams, Josh

    Chai Discovery and Anthropic are establishing a new drug discovery paradigm by serving as tool providers that convert biological engineering from a trial-and-error art into a scalable, AI-driven discipline. By integrating large language models with wet-lab validation, these firms aim to compress the traditional ten-year development cycle into five years while democratizing research capabilities for individual scientists. The convergence of these technologies, supported by massive data generation and strategic partnerships with major pharmaceutical companies, positions AI-native infrastructure as the critical lever for the United States to compete globally in biotech.

  15. Y Combinator1h 14m

    World Models, JEPA And The Path To Sample-Efficient RL

    Ankit, Francois

    This event analyzes the critical bottleneck of sample efficiency in artificial intelligence, contrasting current deep learning models' massive data requirements with the human brain's ability to learn from minimal experience through superior world modeling. The discussion details how advancements in non-differentiable control theories, video diffusion architectures, and Joint Embedding Predictive Architectures are shifting strategies from model-free behavior cloning to synthetic, simulation-based planning for complex robotic and autonomous driving tasks. By addressing scaling challenges in high-dimensional action spaces and architectural limitations like the Transformer's inefficiency in time-domain compression, the presentation outlines a roadmap toward general-purpose robotics and AGI by 2026 through the integration of "awake sleep" mechanisms and physics-informed predictive systems.