Latest Interviews

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.

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.

How Vise Became a Unicorn With Just 40 Employees

Samir Vasavada, Molly O'Shea, Runik Mehrotra, Keith Rabois

Vize, founded by Samir Khandwala, has transitioned its strategy to target large enterprise Registered Investment Advisors while scaling to $15 billion in assets with a streamlined team of 41 employees. The company utilizes a proprietary technology platform to deliver hyper-personalized portfolio management and daily tax-loss harvesting, positioning itself to capture value from the projected growth of the $2 trillion enterprise RIA market toward $10 trillion. By pivoting away from traditional hiring models to a high-agency culture and focusing on democratizing access to alternative assets, Vize aims to become the world's largest technology-powered asset manager.

The Saga of Multicore OCaml

After a nine-year development cycle, Jane Street successfully deployed Runtime 5, a multi-core garbage collector for OCaml that addresses initial performance regressions through a redesigned pacing model and a Mark Delay synchronization patch. The team resolved complex "load-bearing bugs" and floating garbage issues to achieve stable parallelism while maintaining the sequential performance required for high-frequency trading environments. Despite rejecting the ownership model of languages like Rust, Jane Street is now releasing its production-ready OxCamel branch to facilitate researcher experimentation on future parallelism tools and type-level race freedom guarantees.

How Do All Providers Deal with Anthropic Dependency Risk & Figma IPO Breakdown: Where Does it Price?

Rory O'Driscoll, Jason Lemkin, Harry Stebbings

Jason Calacanis and guests analyze the severe security risks of "vibe coding," where AI agents inadvertently corrupt production data by merging distinct environments, driving a new $40M market for guardrail tools. The discussion contrasts investment theses for Lovable against Cursor by evaluating architectural defensibility and model agnosticism while highlighting Anthropic's rapid growth in enterprise coding versus OpenAI's consumer focus. Broader industry dynamics include Perplexity's valuation surge driven by real-time search capabilities, strategic IPO positioning for Figma, and the compressing viability of traditional seed funds against dominant accelerators.

Winning the AI Race Part 4: Scott Bessent, Howard Lutnick, Chris Wright, and Doug Burgum

Scott Bessent, Howard Lutnick, Chris Wright, Doug Burgum, Chamath, Jacob, Christian

Secretary Besson announced a "3-3-3" economic strategy targeting a 3% federal deficit, 3% annual growth, and a three-million-barrel daily energy increase, relying on a projected AI-driven productivity boom to sustain these metrics. The administration pairs this with aggressive trade reforms, including new $515 billion Japanese infrastructure financing and urgent tariff deadlines, while overhauling permitting laws to accelerate domestic energy production for the AI arms race against China. These initiatives aim to transition hyperscaler capital expenditure into immediate industrial output by 2026, promising high-wage trade jobs and eliminating regulatory bottlenecks that previously hindered projects like TSMC in Arizona.

Winning the AI Race Part 3: Jensen Huang, Lisa Su, James Litinsky, Chase Lochmiller

Jensen Huang, Lisa Su, James Litinsky, Chase Lochmiller

Major U.S. corporations and government agencies are launching transformative public-private partnerships to secure critical supply chains for rare earth magnets, semiconductors, and AI infrastructure against global competition. These initiatives include a $400 million Department of Defense deal with MP Materials that guarantees price floors, TSMC and AMD achieving domestic silicon yields in Arizona, and massive energy projects by Crusoe and NVIDIA to build gigawatt-scale AI factories. While these ventures address severe domestic workforce shortages and high manufacturing costs, they collectively aim to establish a sovereign industrial ecosystem capable of supporting trillion-dollar markets in physical AI and advanced computing.

Nat Friedman Leads $15M in Superintelligence Insurance Company | AIUC

Nat Friedman, Rune Kvist, Ben Mann, Molly

Emerging from stealth with a $14 million seed round led by Nat Friedman, Sorcery introduces a dual-layer trust infrastructure combining the AI UC1 certification standard with liability insurance to address enterprise AI risks. The company's four-person team, drawing on deep insurance and technical expertise, aims to accelerate market adoption by financially incentivizing safety audits that detect hallucinations, jailbreaks, and data leaks in real-world deployments. By positioning American-led market standards as a faster alternative to federal legislation, Sorcery seeks to become the mandatory gatekeeper for AI agents in high-stakes sectors like banking and healthcare.

The U.S. Can’t Build AI Without These Materials

Erik Torenberg, Turner Caldwell, Erin Price-Wright, Ryan McEntush

Mariana, a $85 million vertically integrated software-first developer, is deploying a Capital Project OS and AI-driven PlantOS to revolutionize the extraction of critical minerals like lithium and copper. By automating bespoke refining workflows and leveraging talent from hard-tech sectors such as SpaceX and Anduril, the company aims to compress construction timelines from years to months while navigating severe labor shortages. This approach targets the geopolitical urgency of rebuilding US domestic mining and refining capabilities to meet surging demand from the AI and defense industries.

Surge CEO & Co-Founder, Edwin Chen: Scaling to $1BN+ in Revenue with NO Funding

Edwin Chen, Harry Stebbings

Founded in 2020 by a former Twitter employee who rejected corporate bureaucracy, Surge distinguishes itself as a profitable technology firm that prioritizes high-quality human data over speed or fundraising to solve critical AI bottlenecks. The company leverages a small, high-density team of elite experts to deliver superior training data for models like GPT-3, explicitly refusing to scale through external capital or compromise on quality standards. Operating with a long-term vision to achieve AGI by 2028, Surge remains independently owned and poised for a 10x productivity increase without any intention of selling, even for amounts exceeding $100 billion.

Common Sense from Uncommon Investors | Global Conference 2025

Michael Milken, Victor Khosla, Marc Lipschultz, Robert F. Smith, Jonathan D. Sokoloff, Anne Walsh

On May 5, 2025, a panel of investment leaders including Anne, Jonathan, Robert, Mark, and Victor analyzed a geopolitical landscape upended by U.S. fiscal policy and trade shifts that have heightened market volatility and debt concerns. Despite these macroeconomic headwinds, the group highlighted robust opportunities within private equity, generative AI, and private credit, citing specific strategies such as expanding employee ownership, deploying "agentic" AI solutions, and providing stable capital for hyperscale infrastructure. The discussion concluded with a focus on governance and succession, emphasizing the necessity of shifting from short-term arbitrage to long-term value creation while mentoring the next generation of investment professionals to navigate structural market changes.

Trump vs Powell, Solving the Debt Crisis, The $10T AGI Prize, GENIUS Act Becomes Law

Trump, Powell, Gavin Baker, Sacks, Bo Hines, Bill Hagerty, Dave, Jason

Amidst a complex trade environment featuring a rare earth-for-chip agreement with China and new Vietnam carve-outs, the administration is stabilizing tariff volatility while securing bipartisan passage of the "Genius Act" to regulate dollar-backed stablecoins. Simultaneously, the tech sector advances with XAI's release of the high-performing Grok 4 model, driving discussions on massive energy infrastructure investments needed to power future AI data centers. These developments occur against a backdrop of rising 30-year Treasury yields near 5% and a Federal Reserve that is likely pausing rate cuts, creating a fiscal crisis driven by high borrowing costs despite recent legislative deregulation efforts.

The Next Generation of Investment Leaders | Global Conference 2025

Michael Arougheti, Todd Boehly, Michael Milken

On May 6, 2025, Ares' Michael Arrigetti and Eldridge's Todd Boley convened to discuss replicating Berkshire Hathaway's scale by building companies from scratch rather than acquiring existing ones. Their firms distinguished themselves through decade-long returns exceeding 67% for high-yield instruments and deep cultural investments in sectors ranging from private credit to sports franchises like the Baltimore Orioles and Los Angeles Dodgers. Both leaders project trillions in assets under management by leveraging undeployed capital, maintaining strict leverage discipline, and prioritizing long-term compounding over immediate financial necessity.