Latest Interviews

Video Generation as a Primitive

This event addresses the rapid evolution of video generation from high-quality clips to a near-zero cost, ubiquitous computing primitive that enables the on-the-fly creation of any visual content. It outlines transformative applications across media, commerce, gaming, and robotics, while highlighting Y Combinator's call for founders to build infrastructure for this new landscape rather than just content outputs. The discussion emphasizes a fundamental industry shift toward infinite, low-latency video tools that allow for personalized experiences and novel interactions that were previously impossible.

Retraining Workers for the AI Economy

The US government's new AI Action Plan addresses the critical shortage of skilled tradespeople needed for AI infrastructure by directing the Departments of Labour and Commerce to fund rapid retraining programs and startups that develop multimodal AI tutors. These technologies, including voice coaching and AR/VR simulations, aim to compress vocational training timelines from years to months while overcoming the scalability limits of traditional human instruction. By enabling infinite, affordable training at this specific intersection of physical labor and artificial intelligence, the initiative invites startups to build solutions that prepare workers for high-demand roles in semiconductor and data center construction.

Creating a Cleaner Future | Global Conference 2025

Majid Al Suwaidi, Simon Stiell, Gillian Tett

A high-level panel led by UNFCCC's Simon Steele and World Bank President Ajay Banga analyzes the shift from a 5°C to a 3°C warming trajectory while highlighting the UAE's $30 billion Altera Fund as a critical mechanism to mobilize $250 billion in external capital for the Global South. Speakers including Majid Al-Sawadi argue that despite US policy vacuums and Western political headwinds, global decarbonization remains economically locked in through blended finance structures that leverage concessional and private capital. The consensus affirms that the 1.5°C target remains scientifically viable but necessitates immediate, accelerated action across mitigation, adaptation, and loss-and-damage pillars to address the growing supply-demand gap for clean solutions.

Peter Thiel’s $50M Bet on U.S. Uranium Enrichment, General Matter

Peter Thiel, Scott Nolan, Molly O'Shea

Founded in 2023 by Scott Nolan to address U.S. uranium enrichment deficits, General Matter was selected for two historic Department of Energy programs to secure domestic supply of High-Assay Low-Enriched Uranium (HALEU) and reduce reliance on Russian imports. The company leverages recent executive orders that streamline nuclear regulation and mandate military reactor deployment to tackle the imminent energy gap created by AI demand and flat grid capacity growth. With groundbreaking expected within 12 to 18 months, General Matter aims to establish a large-scale enrichment facility by 2028 to fill the capacity void left by the full ban on Russian uranium.

AI Content and the War for Your Attention

Chris Hayes, Antonio García Martínez, Erik Torenberg

This analysis explores the impending crisis where AI-generated content, termed "slop," alienates users by prioritizing algorithmic impulse over volitional intent, thereby threatening the stability of current social platforms and their ad-based business models. Simultaneously, the speaker warns that the fragmentation of mass culture and the erosion of shared reality are accelerating as private digital spaces replace public consensus, creating a bifurcated society of isolated algorithmic clusters. Ultimately, the future of the web depends on resolving the paradox between finite human attention and the infinite scalability of AI, alongside the critical energy infrastructure required to sustain the next generation of computing.

OpenAI’s IMO Team on Why Models Are Finally Solving Elite-Level Math

Alex Wei, Sheryl Hsu, Noam Brown, Sonya Huang

Alex Wei, Cheryl Hsu, and Noam Brown led a focused sprint that enabled AI models to achieve gold medal performance at the International Math Olympiad, marking the first instance of a system reaching this elite human benchmark. This breakthrough relied on scaling test-time compute to over 100 minutes of reasoning and deploying self-verification protocols that allowed the model to correctly identify unsolvable problems rather than hallucinating solutions. While the team utilized general-purpose techniques to advance broader reasoning capabilities for future scientific research, they explicitly noted that current constraints prevent solving complex combinatorics or Millennium Prize problems within the required timeframe.

How the Past and Present Will Shape Russia's Future | Global Conference 2025

Julia Ioffe, Eric Green, Pavel Khodorkovsky, Maria Snegovaya, Daniel Treisman, Leonid Volkov

Panelists projecting a five to twenty-year timeline for regime change emphasize that Russia's highly personalistic structure and emerging oligarch class will likely delay democratization until after Vladimir Putin's natural exit. Concurrently, the Russian economy has demonstrated surprising resilience through sanctions evasion and deepening ties with China, fostering a militarized society poised for prolonged attrition in Ukraine despite long-term stagnation risks. The discussion concludes that the post-Putin transition will likely result in a turbulent, non-democratic power struggle rather than an immediate liberal shift, while offering comparative lessons on the necessity of active civil society to safeguard democratic norms elsewhere.

Scaling and the Road to Human-Level AI | Anthropic Co-founder Jared Kaplan

Jared Kaplan, Diana

This event details how precise scaling laws governing pre-training and reinforcement learning enable predictable AI progress, with task horizons doubling every seven months to support long-term autonomous work. It highlights the launch of Claude 4, which introduces persistent memory and refined coding agents to facilitate complex, multi-day tasks while advocating for a strategic focus on "70% right" applications and greenfield domains like law and finance. The discussion concludes with a roadmap for shifting human-AI collaboration from supervisory oversight to full automation, driven by the expectation that incremental self-correction and hybrid training data will exponentially extend AI capabilities.

Revenge of the Meme Stocks

John Marshall, Alison Nathan

Goldman Sachs Research identifies a renewed surge in retail-driven trading activity for 30 to 50 specific stocks, characterized by aggressive out-of-the-money call option buying that currently operates at half the intensity of the 2021 peak. This trend, fueled by tax reform optimism and available retail liquidity, is projected to persist for several weeks before a waning volume pattern signals an impending decline. Institutional investors have adapted by tracking raw trade volumes rather than social sentiment to manage short-covering risks, reflecting a permanent shift where retail traders now account for the majority of single-stock options volume.

DDN President, Paul Bloch: AI is the Pivot -- Data is the Power

Paul Bloch, Alex Bouzari

Paul Bloch, co-founder of DDN, outlined the emerging fifth industrial revolution at the Paris Race Summit, emphasizing that while Nvidia dominates training, the industry is rapidly pivoting toward massive inference farms and sovereign AI infrastructure across Europe. DDN addresses this shift by managing the critical data layer for AI factories scaling to hundreds of thousands of GPUs, with its new Infinia product demonstrating a 22x acceleration in time-to-result and significant cost savings for clients like XAI and Google. As European nations invest billions in data sovereignty and global competitors race to deploy million-GPU clusters, the summit highlighted that human expertise remains essential to stabilize these complex systems while accelerating deployment across healthcare, finance, and energy sectors.

Toward a Flourishing Future | Global Conference 2025

Michael Milken, Sian Beilock, Jon Clifton, Francis Collins, Jenny Johnson

A multi-disciplinary panel convened to redefine leadership through the lens of human flourishing, contrasting stagnant global GDP metrics with critical declines in mental well-being, youth purpose, and social connection. Experts from Dartmouth, Gallup, and financial sectors outlined a roadmap integrating physical health, ethical education, and blockchain-enabled financial democratization to counter rising anxiety and workplace misery. The discussion concluded with a call to embed these flourishing dimensions into public policy, advocate for mandatory civic service, and utilize technology to dismantle barriers to economic opportunity.

The Thermodynamics of Trading with Daniel Pontecorvo

Daniel Pontecorvo, Ron Minsky, Dan Pontecorvo, Mark Mirchandani, David Abelson

Jane Street's physical engineering team manages a complex lifecycle of data centers and offices, prioritizing microsecond-level latency constraints and evolving from traditional air cooling to high-density liquid immersion solutions for AI infrastructure. The organization deploys proprietary monitoring stacks to prevent catastrophic failures while optimizing Power Utilization Efficiency through economizer cycles and rear-door heat exchangers that handle rack densities up to 170 kW. Their human-centric workspace design leverages modular furniture and circadian lighting to sustain collaboration, supported by a hiring strategy that blends industry veterans with graduates to challenge established engineering assumptions.

a16z GP, Martin Casado: Anthropic vs OpenAI & Why Open Source is a National Security Risk with China

Martin Casado, Harry Stebbings

Martin Casado characterizes the current AI investment landscape as a "super cycle" where zero-sum thinking is the only failure mode, noting that brand recognition currently drives market share expansion across all stack layers while distinct model "flavors" emerge for specialized tasks. He warns that national security risks posed by China's lead in open-source development necessitate increased US government funding for open models, even as the market shifts from monolithic expectations toward an oligopoly where generalist leaders coexist with niche startups. Ultimately, the ecosystem is defined by a paradox where massive capital inputs drive rapid winner-take-all outcomes, yet fundamental system trade-offs and domain expertise remain essential for application differentiation and long-term viability.

Balaji Srinivasan: How AI Will Change Politics, War, and Money

Balaji Srinivasan, Erik Torenberg, Martin Casado

The speaker proposes a polytheistic AGI framework where distinct AI systems reflect specific cultural values and laws, rejecting the notion of an immediate singularity due to current computational and physical limitations. While AI functions as amplified intelligence that exacerbates global wage convergence and shifts labor toward verification, the technology creates a bifurcation between power users who leverage domain expertise and casual users who rely on automated tools. Geopolitically, this landscape fuels the rise of digital borders and state surveillance, prompting crypto-based counter-measures and a predicted cultural backlash as AI models face diminishing returns from over-specialization.

Will the Dollar Keep Dropping?

Kunal Shah, Chris Hussey

Kunal Shah characterizes the current market rally as fundamentally sound yet technically stretched, urging a defensive posture amid growing concerns over speculative mania and the potential erosion of U.S. exceptionalism. He outlines a complex global macro landscape where Europe's fiscal expansion pressures bond yields while central banks diverge, with the ECB pausing hikes, the Bank of England expected to cut rates to support growth, and the Federal Reserve signaling future normalization. Concurrently, Shah maintains a bullish view on the Chinese renminbi despite weak second-half GDP forecasts, citing capital inflows that are prompting policymakers to manage currency appreciation.