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  1. Y Combinator39 min

    Sam Altman: "Never a Better Time to Do a Startup"

    Sam Altman, Paul Graham, Garry Tan

    Sam Altman and Y Combinator highlight an exponential shift in startup capabilities where coding agents reduce development time to mere seconds while hard tech representation in the portfolio surges to 25%. The organization positions itself as a decentralizing force to prevent single-entity control of AI power, explicitly rejecting the "live action role play" mindset in favor of heretical, high-conviction building. Altman warns of safety risks regarding surveillance and model concentration but maintains that widespread founder agency and distributed innovation will ultimately prevent economic collapse or catastrophic safety incidents.

  2. Y Combinator36 min

    Boris Cherny: We Cut 80% of Claude Code’s Prompt

    Boris Cherny, Diana Hu

    The Opus 5 model release demonstrates a 30% score on the ARC AGI benchmark and unprecedented autonomous endurance by eliminating over 80% of legacy system prompts through an empirical ablation methodology. This shift enabled dynamic workflows where thousands of agents autonomously rewrote complex software stacks like the Bunn runtime and Cloud Code desktop app in mere days. Strategic advice for developers emphasizes replacing rigid prompt engineering with context design and verification protocols to leverage these emergent agentic capabilities effectively.

  3. Goldman Sachs17 min

    Jon Winkelried on Lessons from Goldman Sachs and TPG’s Next Chapter

    Jon Winkelried, Matt McClure, John Winkle-Reed

    John Winkle-Reed, who rose from a 1981 Goldman Sachs intern to co-president before retiring in 2009, applied his leadership philosophy of active listening and decision transparency to transform TPG from a $64 billion founder-led buyout firm into a $310 billion diversified public alternative asset manager. His strategic shift from a siloed structure to a unified "one firm" orientation overcame significant internal resistance, enabling the 2022 public listing and major acquisitions like Angela Gordon in 2023. Currently serving as sole CEO since 2021, Winkle-Reed has integrated artificial intelligence as a central growth driver while steering the organization's geographic and operational evolution from a San Francisco-centric model to a global enterprise with its largest workforce in New York.

  4. 20VC with Harry Stebbings1h 7m

    Will Open-Source Threaten Anthropic's Business & Do Margins Matter in a World of AI | Matt Murphy

    Matt Murphy, Harry Stebbings

    Menlo Partners led Anthropic's initial $10 million seed round and subsequently deployed a $500 million Special Purpose Vehicle to secure a leading position in the AI sector, prioritizing access to high-conviction outliers over traditional ownership mandates. This strategy supports a broader barbell approach where the firm targets hyper-growth seed companies like Lovable and OpenRouter while maintaining large growth positions, effectively bypassing the crowded Series A stage. By focusing on technical depth, operational efficiency, and global talent hubs, Menlo aims to maximize upside in a market shifting toward "winner-take-all" dynamics despite high valuations.

  5. Milken Institute20 min

    Advancing a Modern Regulatory Framework: SEC Chairman Paul Atkins Conversation | Global Conference

    Paul Atkins, Michael Piwowar, Mike

    The SEC is executing a strategic pivot from enforcement-heavy regulation to a framework prioritizing economic materiality, aiming to reverse the decline in public companies and revitalize the IPO market through simplified disclosure rules and reduced litigation barriers. Parallel efforts are establishing clear jurisdictional boundaries with the CFTC for digital assets while modernizing fund structures to enhance tax efficiency and expanding 401(k) access to private credit markets. Guided by Enforcement Director David Woodcock's focus on substantive fraud over procedural technicalities, the agency seeks to restore investor confidence and preserve the United States' competitive standing in global capital formation.

  6. 20VC with Harry Stebbings1h 3m

    Mercor Head of Product on Revenue Concentration from Frontier Labs

    Osvald Nitski, Harry Stebbings

    McCore, led by CPO Oswald Nitzke, is navigating a hyper-growth phase driven by insatiable demand for frontier model training data while strategically pivoting from enterprise labs to self-serve tools for smaller enterprises. To manage operational complexity amidst AI coding agent proliferation, the company is streamlining its product surface area and shifting hiring priorities toward senior candidates capable of rapid business impact assessment. Looking ahead, McCore anticipates expanding into robotics and cybersecurity data markets while maintaining a high-agency startup culture to address the persistent skills gap in enterprise AI deployment.

  7. 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.

  8. Goldman Sachs20 min

    Can Markets Withstand AI Risks, Fed Hikes, and Oil Shocks?

    Tony Pasquariello, Josh Schiffrin, Dominic Wilson

    Dominic and Josh analyze how supply shortages in AI infrastructure and geopolitical tensions in the Middle East are creating a complex investment environment driven by oil market friction and Federal Reserve policy shifts. While the S&P 500 remains near record highs, the duo warns that diverging market performance from lived economic reality, combined with intensifying inflation pressures and a move away from central bank guidance, signals potential volatility ahead. Consequently, they highlight a strategic pivot toward the long end of the yield curve and credit markets, suggesting that concentrated asset exposure is prudent as liquidity is expected to thin in the coming months.

  9. Y Combinator29 min

    What Big Tech Missed And How Startups Can Still Win

    Alexandre LeBrun, Zuckerberg, Jan, Alex

    Ami Labs is raising approximately one billion euros in seed funding to develop foundational world models that train on sensory data rather than text, addressing the limitations of current large language models for robotics applications. Co-founded by Alex K. and Yann LeCun following their shared history at Meta and various startups, the Paris-based company aims to build general-purpose robots capable of operating safely in open environments by solving the compute bottlenecks and latency issues inherent in existing vision-language-action architectures. While the venture tackles the high capital demands of securing thousands of GPUs and top-tier talent, it operates under a strict strategic constraint where failure to deliver visible progress within two years could render the company unsustainable due to the intense external expectations created by the massive funding round.

  10. Y Combinator20 min

    Why Physical AI Is the Next Platform Shift

    Eric Landau, Francois Chollet

    Anchored, founded by former quantitative trader Eric Landau, constructs the data layer for physical AI by managing petabytes of multimodal data to power robotics and autonomous systems. After pivoting from healthcare vision to broader industrial applications, the company established a production-ready facility in the Bay Area and refined its sales culture through iterative hiring challenges. With the post-ChatGPT market accelerating demand for specialized physical AI infrastructure, Anchored now leads a crowded sector by offering scalable data collection that moves clients from proof-of-concept to enterprise production.

  11. All-In Podcast1h 34m

    The Fight Over Open Source AI, Anthropic's $1.5B Payout, NYC Socialists: Evictions = Violence?

    Chamath, Jason, Friedberg, David Sacks

    Following Moonshot AI's release of the cost-effective open-source Kimi K3 model, US markets now face a 45% probability of a government ban on Chinese open-source software by 2026, a move critics like Chamath Palihapitiya and White House official David Saks argue would be regulatory capture by Anthropic to protect its $70 billion business. As Google and Tesla report massive capital expenditure increases driven by AI infrastructure while SpaceX faces post-IPO valuation drops, hosts warn that banning distillation techniques or enforcing strict KYC protocols would force American enterprises to pay a prohibitive "token tax" compared to global competitors. Meanwhile, Anthropic's recent $1.5 billion copyright settlement highlights a contradiction in their stance on IP theft, just as New York housing policies by Zohran Mamdani are predicted to reduce supply and worsen living conditions for tenants.

  12. RAISE Summit18 min

    The Invisible Backbone of AI: Why Light Powers Intelligence | Lumentum | RAISE Summit 2026

    Michael Hurlston, Tony Kim

    Lumentum outlines a four-stage data center evolution from kilometer-scale interconnects to millimeter-level optical PCB integration, a shift driven by copper's inability to support 1.6 terabit speeds. This transition promises a 100 to 1,000-fold expansion in optical lanes, with scale-up rack integration expected by mid-2027 and commercial scale-in adoption projected by 2029. To meet the demand for hundreds of millions of lasers, the company has expanded Indium Phosphide wafer fabrication while strategic investments from NVIDIA secure supply for these critical semiconductor components.

  13. Y Combinator44 min

    He Built the World's #1 Open-Source Coding Agent

    Jay V, Gary Tan, Mark Mandelmann, Seth Vargoevic, Frank, Dax, Dylan Patel, Soyal, PG, Jay Poldinger

    OpenCode, a sixteen-year-old platform founded by Jay Poldinger and Frank, has grown to 13 million monthly active users and processes 7 trillion daily tokens by serving as a neutral model harness that bypasses vendor lock-in. The company's strategy of supporting over 70 open-source models, which became critical after Anthropic restricted open usage, generated $160,000 in monthly subscription revenue and an estimated $33 million in inference revenue as of June. With significant adoption in China, Brazil, and the United States, OpenCode validates its product-market fit through enterprise organizations that proactively seek security agreements to integrate its agent loops into internal workflows.

  14. 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.

  15. Goldman Sachs12 min

    Are Hedge Funds Still Bullish on AI Stocks?

    Vincent Lin, Chris Hussey, Vinny Lin

    Following a historic 32% drawdown in high-beta momentum strategies, the market has stabilized as hedge funds reduced semiconductor exposure from record levels while managing a four-fold surge in volatility. Despite the sharp correction driven by heavy selling pressure in technology sectors, equity funds have maintained healthy returns and are currently repositioning near median exposure to capitalize on dipping AI infrastructure valuations. Analysts now advise utilizing limited-loss option structures to navigate upcoming earnings for mega-cap hyperscalers, while monitoring the risk of rising stock correlations that could undermine the current low-correlation alpha opportunities.