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Jan

Showing 14 of 4 transcripts.

  1. 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.

  2. All-In Podcast1h 39m

    #AIS: Bestie AMA with Valor's Antonio Gracias

    Antonio Gracias, Chamath, Calacanis, Friedberg, TheZachEffect, David Sacks, Glenn Greenwald, Bill Lee, Jeff Skoll, Dave Goldberg, Tony Hsieh, Chase Coleman, Brad Gerstner, Vinod Khosla, Michael Schellenberger, Andrew Yang, Elon Musk, Steve Jobs, Tim Cook, Samantha, Bobbin, Science Boy, Ted, Mike, Chris, Sarah, Joanna, Kate, Aria, Kenneth Brown III, Sonny Lampa, Prem, Phil Deutsch, Jan, Matthew, Elizabeth Holmes

    Antonio García Martínez and his investment partners argue that American manufacturing resilience depends on prioritizing Return on Invested Capital over revenue multiples, citing Tesla's operational necessity for onshoring as a counter to the short-term cost-cutting that drove industrial decline. This philosophy, forged through high-stakes poker networks and tested by a 2008 existential bet on Tesla and SpaceX, drives their current advocacy for a neutral energy policy and a macroeconomic outlook anticipating a brief recession followed by a capital market reset to pre-2020 valuation norms. By rejecting commoditized hardware markets and financial engineering in favor of high-barrier innovations, the group predicts a mini-retooling era where biomanufacturing and in-person collaboration define the next cycle of value creation.

  3. 80,000 Hours46 min

    #23 - How to actually become an AI alignment researcher, according to Dr Jan Leike

    Dr Jan Leike, Jan, Keiran Harris, Rob Whitland

    Dr. Jan Leicher, a research scientist at DeepMind and the Future of Humanity Institute, discusses the critical challenges of aligning advanced AI systems with human intentions through recent collaborations with OpenAI on learning reward functions from human preferences. The conversation details specific failure modes where robustness breaks down due to unreliable uncertainty quantification in deep neural networks and highlights severe security vulnerabilities regarding adversarial attacks and side effects in agent exploration. Leicher further outlines the urgent need for qualified technical talent, recommending rigorous mathematical training and PhD-level research experience to address the growing shortage of experts capable of navigating the frontier of AI safety.

  4. Milken Institute58 min

    Evolution of Hedge Fund Investing: Institutional Investors Go Direct

    Francisco, Mattias, Ed, Jan

    Major institutional investors including AXA Investment Managers, AP3, CalPERS, and PGGM are shifting billions in hedge fund allocations from traditional fund-of-funds structures to direct managed accounts to reduce costs, eliminate middle layers, and gain control over portfolio construction. This strategic transition addresses operational risks exposed by the 2008 crisis and allows these entities to negotiate favorable fee terms while demanding specific exposures like alternative credit or systematic risk premiums previously unavailable. Consequently, these pension funds are building internal teams of varying sizes to manage daily stress testing and risk budgeting directly, thereby moving toward "fund of one" structures that offer customized liquidity and concentrated positions.