Latest Interviews

The Finance Startup Bringing Agentic AI to Wall Street

Arnie Englander, Gustaf Alstromer, Chas Englander

Model ML, founded by siblings Arne and Chas, has transitioned its financial services agentic AI platform from a testing phase to rapid deployment, securing contracts with approximately 10% of the world's largest investment institutions. By replicating human cognitive access within familiar interfaces like Excel, the system automates complex data extraction and document creation for C-suite executives, shifting purchasing cycles from decade-long software licenses to annual multi-year agreements. With a global engineering presence and a strategy prioritizing high-trust in-person demos, the founders leverage their previous exits from Fat Llama and Fancy to drive a market where autonomous tasks increasingly replace traditional user interfaces.

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.

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.

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.

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.

Winning the AI Race & Reindustrialization | Christian Garrett, 137 Ventures

Christian Garrett, Molly O'Shea

137 Capital is leveraging government policy shifts in the mining sector and broad economic initiatives to unlock competitive advantages, while simultaneously co-hosting an AI expo with "All In" to pivot public discourse toward tangible industrial benefits. The upcoming event features high-profile speakers including President Trump and various cabinet secretaries who will showcase automation use cases and sign executive orders aimed at accelerating middle-class wealth creation. By bridging Silicon Valley innovation with Capitol Hill strategy, the expo seeks to demonstrate how regulatory changes and vertical integration can secure national security and drive bipartisan technological leadership.

Manus AI Founder, Tao Zhang: Turning Intent into Intelligent Action

Tao Zhang, Lotto

Butterfly Effect's co-founder Tao launched Manus AI, an autonomous agent platform designed for non-technical users, following a strategic pivot from the consumer chatbot "Monica." After securing critical infrastructure partnerships with major cloud providers to overcome severe token capacity constraints, the company achieved viral traction with 3.5 million waitlist signups by prioritizing goal-oriented automation over iterative prompting. The product team, led by a fluid executive structure, intentionally simplifies complex model selection to deliver a consumer-grade experience that benchmarks performance against real-world utility rather than public leaderboards.

Brand Design Tips From Linear Founder Karri Saarinen

Karri Saarinen, Aaron Epstein

Kari Saarinen outlines how early-stage startups should align their brand authenticity with their development stage, advising against mimicking mature companies like Stripe or Linear before product readiness. She critiques five specific landing pages for issues such as distracting visuals, vague messaging, and poor audience segmentation, recommending targeted copy and clearer calls to action to improve conversion. The analysis emphasizes that website design must evolve from abstract mystery for waitlists to detailed utility for enterprise sales, ensuring every visual element serves a functional purpose rather than adding noise.

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.

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.