Latest Interviews

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.

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.

Reputation Roundup: Corporate Leaders Building Trust | Global Conference 2025

Eric Gertler, Michael Dimock, John Gerzema, Jessica Sibley, Linda Yaccarino

Facing a crisis where 72% of American trust in institutions has eroded, leaders from Time, X Corp, and the Harris Poll outlined a strategy to rebuild credibility through tangible action rather than performative rhetoric. Representatives Jessica Sibley and Linda Iaccarino detailed specific measures such as X's Community Notes and Time's "Time 3.0" transformation, which prioritize unscripted authenticity and collective fact-checking to satisfy a public increasingly skeptical of corporate and political motives. The panel concluded that future trust depends on unwavering consistency in core values and delivering concrete results, particularly for Gen Z, as organizations must shift from curated narratives to open, real-time discourse to regain public confidence.

Windsurf CTO, Alex Laubscher: Engineering at the Speed of Change

Alex Laubscher, Dimitris Bontolos

Windsurf has evolved from an autocomplete tool into an agentic IDE, leveraging a million-user base and strategic partnerships with major enterprises like JPMorgan and Dell to navigate the shift from AI adoption to continuous adaptation. The platform drives efficiency in complex legacy environments by integrating real-time context from tools like Figma and Slack while meeting strict security standards through FedRAMP accreditation and a new Frankfurt data center. Recent deployments, such as the infrastructure case study with Ferrovial, demonstrate how these advanced retrieval capabilities compress development timelines from months to days, reinforcing the company's focus on high-value brownfield modernization over consumer applications.

Winning the AI Race Part 5: President Trump on the AI Action Plan

President Trump, Chamath, Friedberg, Donald J. Trump, Nat, Jason Calacanis, Jacob Helberg, Doug Burgum, Howard Lutnik, Chris Wright, Lee Zeldin, Ted Cruz, David McCormick, Jensen Wong, Lisa Sue, Jeff Sprecher, Suzy Weil, Marco Rubio

The administration has secured major international trade and defense agreements with Japan, the EU, and NATO allies while establishing a universal tariff framework to pressure non-compliant nations. Domestically, the executive branch is accelerating energy dominance and AI development through the termination of the Green New Deal, the repeal of export restrictions, and the implementation of a federal standard that permits AI training on public data without creator consent. With key appointments led by David Sacks and the EPA, the government aims to achieve zero illegal border entries, trigger $17 trillion in private investment, and reclaim global manufacturing supremacy by 2026.

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 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.

Words That Work: 2025 Edition | Global Conference 2025

Leslie Thurman, Frank Luntz

The analysis outlines a sharply polarized American landscape where 80% of citizens view the nation as historically divided and demand tangible results over political rhetoric or abstract corporate values. It urges business leaders to abandon divisive terminology like "DEI" and "capitalism" in favor of resonant concepts such as "economic freedom" and "respect," while tailoring visual communications to evoke joy rather than fear. Without this strategic shift in language and imagery, the presentation warns that corporations face increasing legislative risks from a public backing wealth taxes and an unwavering political base that refuses to compromise.

H Company CEO, Gautier Cloix: Beyond the Hype Leading Agentic AI into the Enterprise

Gautier Cloix, Ruud

H-Company, founded by former DeepMind employees and led by former Palantir executive CEO, has secured a record €220 million seed round to deploy its "Holo One" computer user agents that operate natively on digital interfaces without predefined APIs. The firm employs a forward-deployed engineer model to rapidly iterate within complex legacy enterprises across Europe and the US, targeting major clients like LVMH and Amazon while prioritizing cost-efficient generalist AI over siloed tools. With the strategic goal of reducing administrative burdens in sectors such as healthcare by shifting doctors' non-clinical time from 70% to near zero, the company plans to onboard key enterprise customers by year-end to refine its platform before global scaling.

Seth Klarman on Finding Value and Maintaining Discipline

Seth Klarman, John Waldron

Baupost Group's Scott Klarman articulates a 42-year investment philosophy that prioritizes capital preservation through strict margin of safety requirements and the avoidance of leverage, while evolving from traditional value metrics to include franchise value and private market dynamics. The firm's decision-making process relies on rigorous internal debate, pre-mortem risk analysis, and a culture that rewards intellectual honesty, allowing the team to navigate distressed assets and market volatility without succumbing to behavioral biases. Current portfolio construction maintains a balanced allocation across private credit, public equity, and real estate, explicitly targeting the downside risks posed by rising rates and commercial real estate stress while preparing the next generation for severe economic downturns.

Eco Edge: Investing in a Clean Economy | Global Conference 2025

Leslie Kaufman, Areije Al Shakar, Mark Berryman, Nili Gilbert, Scott Jacobs

Representatives from Generate Capital, Carbon Direct, Capricorn, and BE Ventures convened to analyze the $9 trillion real asset opportunity required to decarbonize heavy industry sectors that currently command 40% of global fossil fuel consumption. While market metrics show a strategic shift from mission-driven to profit-driven models with private equity returns reaching the high teens, political uncertainty and the Inflation Reduction Act's implementation remain primary variables for the next 18 months. The panel identified specific growth vectors including AI-driven microgrids, industrial hydrogen, and small modular reactors as critical mechanisms to bridge the gap between economic viability and net-zero targets.

Unlocking Health Data | Global Conference 2025

Richard Lui, Ramin Bastani, David Feinberg, Deborah Kilpatrick, Hon Pak

A panel of healthcare leaders from Healthvana, Oracle Health, Sonder Capital, and Samsung discussed the shift from data-rich but information-poor systems to liquid, human-centric models that prioritize patient trust and interoperability. The group highlighted how AI tools are already reducing clinical burnout, improving predictive accuracy for long-term health events, and enabling dynamic consent mechanisms to protect patient ownership. Looking toward a decade-long horizon, the speakers anticipate a paradigm shift where quantum computing and decentralized care empower patients to manage their health through seamless data integration rather than relying solely on traditional specialist visits.

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.

Eric Schmidt: AI and the Genesis of a New Epoch

Eric Schmidt, Henri Delahaye

Dr. Eric Schmidt characterizes the current technological landscape as a new epoch driven by the imminent arrival of reasoning-based AI, predicting that Artificial General Intelligence and superintelligence will emerge within four to six years. The discussion highlights a geopolitical divergence where the United States pursues capital-intensive closed-source models while China leverages open-weight systems, creating a strategic risk where global usage may outpace Western control. Schmidt concludes that massive infrastructure investment in compute capacity will outlast concerns of a market bubble, as autonomous systems will drive unprecedented growth in mathematics and software development independent of human data constraints.