Latest Interviews

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.

Winning the AI Race Part 2: Vice President JD Vance

JD Vance, Chamath, Jason, Friedberg

The Trump administration outlines a comprehensive strategy projecting a net negative U.S. immigration figure for 2025 through enhanced ICE resources and judicial victories, while simultaneously rejecting amnesty and relying on automation to address agricultural labor shortages. Economically and technologically, the administration pivots toward pro-innovation AI policies and domestic supply chain partnerships to counter Chinese dominance, asserting that these measures have cooled inflation and peaked housing costs. Guided by Vice President Vance and AI Czar David Sacks, the executive branch reinforces President Trump's final decision-making authority to dismantle perceived over-regulation and redefine higher education to align with a workforce focused on national security and industrial resurgence.

Winning the AI Race Part 1: Michael Kratsios, Kelly Loeffler, Shyam Sankar, Chris Power

Michael Kratsios, Kelly Loeffler, Shyam Sankar, Chris Power, Jacob Helberg, Jake Loosararian, Paul Buchheit, Laura DeVerdinas, Matt Troutman, Julie Nordberg, Sean, Paul Bluhite, Keith Raboy

The Trump administration has established winning the global AI race against China as a primary national security priority through an executive order mandating a nine-month action plan focused on deregulation, domestic infrastructure, and ecosystem expansion. This strategy leverages federal data and energy resources while rewriting Small Business Administration rules to facilitate industrial re-industrialization and support "physical AI" deployments across manufacturing and healthcare. Key outcomes include projected productivity jumps in defense and logistics, a surge in small business technology adoption, and a workforce shift toward upskilling blue-collar technicians rather than displacing workers.

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.

How Palantir Is Modernizing the Military With AI

Greg Little, Molly O'Shea

Palantir advocates for a strategic re-industrialization of the United States to counter national security vulnerabilities exposed by China's manufacturing dominance, arguing that hardware quantity is as critical as AI sophistication in modern warfare. The company deploys its Warp Speed operating system and Artificial Intelligence Platform to accelerate defense production, enhance fleet readiness through predictive maintenance, and integrate commercial startups into the military industrial base via classified access programs. By treating financial audits as warfighting assets and upskilling non-traditional workers with AI tools, the initiative aims to reallocate billions in waste toward lethal capabilities while fostering a unified ecosystem against adversarial threats.

OpenAI Just Released ChatGPT Agent, Its Most Powerful Agent Yet

Isa Fulford, Casey Chu, Edward Sun, Sonya Huang, Lauren Reeder

OpenAI has merged its Deep Research and Operator teams to launch a unified ChatGPT Agent capable of executing complex, multi-hour tasks such as financial modeling and data analysis within a shared virtual environment. This system leverages reinforcement learning and four distinct interface modes to navigate text, graphical interfaces, and code terminals while maintaining robust safety protocols against operational risks. Early testing demonstrates the agent's ability to outperform human baselines in specific technical workflows, signaling a shift toward general-purpose autonomous systems that can operate independently or assist users through interactive correction.

The Brutal Truth About Jerome Powell & Future Rate Cuts - David Friedberg

Jerome Powell, David Friedberg, Chamath, Jason, Gavin

Market expectations have shifted toward a Federal Reserve pause, while the 30-year Treasury yield has surged to 5%, signaling a critical shift where annual debt interest costs on the $36 trillion national debt could nearly double to $2 trillion. This escalation challenges the efficacy of short-term monetary policy, as historical data shows the deficit remains constrained by sustained high borrowing costs rather than just central bank actions. Analysts conclude that addressing this fiscal crisis requires a "virtuous cycle" driven by specific structural changes, such as spending restraint, revenue generation through tariffs, and tax reforms, to eventually lower long-term yields and prevent interest payments from eclipsing major federal expenditures.

Anton Osika (CEO & Founder of Lovable): 0-75M ARR in 7 Months Winning Agentic Coding & Beyond

Anton Osika, Fredrik

Lovable, a European-founded AI software builder, has rapidly scaled to 90 million users and 180,000 paying customers within seven months by democratizing application development for non-engineers. The platform distinguishes itself through enterprise adoption for rapid prototyping and high-velocity founder successes, such as a $3 million revenue-generating educational product created in two days, effectively replacing traditional CTO functions. Founder Anton positions this tool as a comprehensive operating system for business lifecycles, driving global market leadership by lowering the technical barriers that previously hindered the "99%" of aspiring creators.

Eric Schmidt & Andrew Feldman: The Race to SuperIntelligence

Eric Schmidt, Andrew Feldman

Cerebras Systems CEO Andrew Gerrandt asserts that the company's Wafer Scale Engine architecture delivers inference performance nearly two orders of magnitude faster than competitors, driving a market shift from training-dominant to inference-heavy workloads. This hardware acceleration, combined with strategic open-source adoption and co-designed software, has compressed industrialization timelines from decades to five years while exposing critical bottlenecks in global energy infrastructure and data sovereignty. As the industry navigates an uncharted S-curve of explosive growth, geopolitical competition and alignment risks now define the trajectory toward autonomous, on-device AI integration.

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.