Latest Interviews
Showing 511–525 of 6,394 interview transcripts.
Clear all filters- Y Combinator17 min
Conductor CEO Charlie Holtz Walks Us Through His AI Coding Setup
Charlie, co-founder of Conductor, leads a team developing a macOS application that orchestrates multiple coding agents to generate software primarily in TypeScript and Rust. The platform enforces a strict non-terminal workflow where AI handles code generation while humans intervene only through specific review modes to maintain quality and prevent error cycles. With a strategic focus on high-efficiency model selection and a future roadmap emphasizing malleable, modifiable agents, Conductor positions itself as a tool that shifts software value from code itself to human-authored prompts and descriptions.
Tom Mueller: SpaceX's #1 Employee Built the Merlin Engine. Now He's Building Impulse Space
Former SpaceX founding employee Tom Mueller founded Impulse Space to revolutionize intra-orbital transport with its fleet of advanced spacecraft, including the orbital transfer vehicle Mira and the heavy-lift Helios. The company leverages proprietary Nova Light alloy and additive manufacturing to produce the Deneb hydrocarbon engine and lightweight composite tanks, achieving performance metrics that could significantly boost payload delivery to the Moon and Mars. Currently advancing lunar infrastructure efforts through successful rendezvous tests and an active lander contract bid, Impulse Space combines in-house manufacturing with AI-driven design to support a future lunar economy.
- Sequoia Capital57 min
What David Senra Learned Studying 400+ Founders
The analysis identifies focus, neurodivergence, and a preference for control as the defining psychological traits of successful founders, noting that most billion-dollar companies are driven by a single dominant visionary rather than a co-founder committee. Historical data reveals that despite the romanticized "poor boy" narrative, top leaders typically emerge from upper-middle-class backgrounds and achieve rare longevity by transitioning from negative self-motivation to a generative love for their work. In the current AI era, these archetypes leverage infinite production leverage to turn high-risk decisions into low-cost experiments, prioritizing authentic "taste" and durable team composition over traditional strategic planning or external validation.
- The Diary Of A CEO1h 26m
No.1 Christianity Expert: If You DON'T Believe In a God You NEED to Hear This!
John Lennox examines the risks of conflating narrow AI systems with true consciousness while critiquing transhumanist ambitions to engineer superhuman deities. He contrasts these technological shifts with the Christian framework that grounds human dignity in the image of God, arguing that reductionism fails to explain the coexistence of beauty and suffering. Drawing from his recent publications and decades of evidentiary inquiry, Lennox calls for skepticism toward AI-driven misinformation and advocates for a faith grounded in personal experience rather than blind leaps of logic.
- All-In Podcast30 min
Bill Ackman: Here's What the Market is MISSING
Bill Ackman, Chamath, Jason, David
Howard Ackman outlines a strategic evolution at Pershing Square toward concentrated long-term holdings in high-quality businesses, leveraging deep board involvement to counteract market short-termism and capitalize on undervalued legacy tech giants amidst AI-driven disruption. His approach extends to late-stage founder-led ventures like SpaceX and XAI, which he values through a venture capital lens of people and opportunity, while simultaneously repurposing the Howard Hughes Corporation into a "Berkshire 2.0" model that utilizes real estate cash flows to fund an insurance float for tax-efficient capital compounding. Ackman further explains how social media dynamics now enable persistent narratives to influence valuations, supporting a three-vehicle investment structure that includes a royalty-based management company, a public discount vehicle, and a transformed real estate holding to deliver sustained growth over decades.
- Bank of America8 min
Must Read Research: Size of the Market, World Cup & Paper Goods, Energy Contingencies, and LatAm ...
Market analysis highlights record U.S. equity holdings and a 40% S&P 500 concentration in Big AI firms, while the North American World Cup is projected to drive beverage demand and aluminum packaging premiums. Simultaneously, investors await oil price shocks below $65 per barrel despite robust long-term supply from the Permian and Canada, and Latin American macro stability hinges on the 2026 election cycle, particularly Brazil's ability to meet its fiscal surplus targets.
- The Economist16 min
Who will be California’s next governor? | The Economist
Charlotte Howard, James Bennet, Aryn Braun, Tom Steyer, Xavier Becerra, Steve Hilton
A contentious California gubernatorial runoff looms as a referendum on the state's affordability crisis, featuring progressive challenger Tom Steyer's aggressive advertising campaign against incumbent Xavier Becerra and Republican Steve Hilton's tax-cut proposal backed by Donald Trump. Critics argue that decades of co-opted ballot measures and structural fiscal deficits under Governor Gavin Newsom have driven out-migration and created recurring budget holes, fueling a narrative of state dysfunction that Republicans hope to exploit for a rare statewide victory. The election outcome will ultimately determine whether voters prioritize the status quo or support significant policy shifts intended to reverse California's economic decline and reverse its demographic power loss in Congress.
- All-In Podcast32 min
OpenAI CFO Sarah Friar: IPO, AI Rivalries, New Device, and Spending $100B+ on Compute
OpenAI's CFO Sarah Fryer announced a historic $122 billion fundraising round and detailed a strategic pivot toward a 50-50 split between consumer and enterprise revenue while managing a global compute deficit through a $1 billion Michigan data center and diversified cloud partnerships. With ChatGPT serving over 900 million weekly users and a new "agentic" hardware interface set for release, the company aims to leverage vast user data to build a potent advertising model that prioritizes user intent and memory without compromising output neutrality. Looking ahead to 2030, OpenAI projects that rising infrastructure costs will be offset by improved model efficiency, maintaining its position as a single foundational AI utility across multiple global markets.
- 80,000 Hours2h 48m
I lead AGI safety at Google DeepMind – here's the view from the inside | Rohin Shah
Rohin Shah argues that catastrophic AI misalignment is not an inevitable default outcome, contending that current training trajectories and prosaic alignment techniques offer a high probability of success against plausible but non-inevitable risks like deceptive alignment. He advocates for nuanced governance through third-party expert audits and internal safety teams rather than rigid public commitments, noting that corporate constraints often drive apathy rather than active opposition to safety measures. Shah concludes that the field should prioritize concrete, implementable solutions and competent personnel over theoretical frameworks, projecting a gradual timeline for intelligence explosions while dismissing the notion that immediate, hyperbolic growth will render safety efforts obsolete.
- Goldman Sachs26 min
The AI Investment Boom: When Will It Pay Off?
Jim Covello, Alison Nathan, George Lee
In a Goldman Sachs Exchanges episode recorded on May 26, 2026, Jim Cabello and George Lee analyze the divergence between surging AI technology and unproven economic returns. Cabello admits previous misjudgments regarding consumer adoption and hyperscaler spending patterns while warning that the current exclusive profitability of semiconductor firms creates an unsustainable market dynamic. The dialogue concludes that without evidence of enterprise-scale profitability within the next two years, the industry faces a potential correction where hyperscaler stocks are poised to outperform if capital expenditure moderates or profit distribution shifts upstream.
Why Impulse Raised $500M to Move Things in Space | President & COO Eric Romo
Impulse Space has secured a $500 million Series D investment led by 137 Ventures and Banner VC to expand its workforce and manufacturing capacity for the Helios commercial upper stage and the Mira defense vehicle. The company is pivoting its Mira product from a commercial orbital tug to a rapid-repositioning asset for the U.S. Space Force, addressing national security needs by countering adversary satellite constellations in geostationary orbit. With funding allocated to support a production rate of one Mira unit per month and initiate Helios missions next year, Impulse aims to deliver direct-to-GEO transfers that significantly reduce operational costs while leveraging a vertical integration strategy learned from SpaceX.
- Sequoia Capital40 min
Knowing What Your Customers Want, All the Time: Listen Labs' Alfred Wahlforss
Listen Labs leverages its database of 30 million participants to transition from AI-conducted interviews to generative agent simulations that predict individual customer preferences with up to 95% accuracy. Founder Alfred Walforce directs the platform to serve Fortune 500 clients like Microsoft and Chubbies by identifying specific product friction points and integrating insights directly into autonomous coding workflows. This approach creates a proprietary feedback loop where behavioral data refines agent models, allowing businesses to validate product decisions without the churn and cost of traditional market research.
Mercor CEO: Why Application Layer Companies Have No Moat & The Cost of Hiring AI Researchers
Brendan Foody, Harry Stebbings
McCor, a $10 billion company recently led by Brandon Foody, recently added $300 million in new ARR and established an "AI training agents" workforce paying over $3 million daily. Following a rapid containment of a security breach and the denial of acquisition rumors, the firm is pivoting strategy toward data moats and compute infrastructure while predicting that AI inference costs will soon exceed human labor expenses. Foody outlines a five-year outlook where frontier model valuations reach $10 trillion, driving a shift toward open-source inference and a "golden age" of AI security engineering.
"We Don't Trust Agents" - What This CTO Knows That You Don't
Shensi Ding, Gil Feig, Molly O’Shea
Merge leverages a three-product suite to power core search and AI connectivity for major enterprise clients like OpenAI and Netflix, maintaining high-reliability SLAs while pivoting its business model toward AI-driven infrastructure. The company aggressively internalizes AI adoption across all departments to accelerate development and defend against sophisticated, automated security threats that plague the industry. Looking ahead, Merge aims to capitalize on the enterprise shift toward headless, agent-managed operations by prioritizing cash efficiency and production-grade governance over speculative valuation multiples.
- Jane Street1h 35m
The Network as a Program with Nate Foster
Nate Foster, a professor at EPFL and visiting researcher at Jane Street, bridges programming languages and networking by advocating for treating networks as verifiable programs through formal methods and Domain Specific Languages like Netcat and P4. His work has evolved from foundational theories on bidirectional data conversion to practical industrial applications, including the Butane system which compiles high-level latency policies into safe, distributed BGP configurations to replace error-prone manual router management. Foster's approach combines algebraic analysis of routing semantics with a software engineering culture that prioritizes rigorous testing and visualization, enabling complex network modifications while challenging traditional end-to-end principles in favor of in-network computing for specialized workloads.