Latest Interviews

Still Bullish on Big Tech

Peter Callahan, Mike Washington

In the second quarter, major technology companies surpassed market expectations by accelerating growth in e-commerce, cloud, and digital advertising, driven primarily by widespread artificial intelligence adoption. This momentum has coincided with rising capital expenditures on AI infrastructure, while analysts project a multi-year expansion cycle that remains resilient despite macroeconomic uncertainties regarding interest rates and tariffs. Although the current market rally is heavily concentrated in large-cap stocks, investors anticipate a potential catch-up trade in smaller-cap tech firms later in the year as inflation data and the Jackson Hole symposium provide new catalysts.

GPT-5 and Agents Breakdown – w/ OpenAI Researchers Isa Fulford & Christina Kim

Isa Fulford, Christina Kim, Erik Torenberg, Sarah Wang

OpenAI leadership and key architects Christina and Issa unveil GPT-5 as a significantly more useful frontier model that prioritizes cross-domain utility, massive coding improvements, and reduced hallucinations over isolated benchmark scores. The update integrates advanced reasoning capabilities and autonomous agent functions to lower barriers for non-technical users while shifting evaluation metrics toward real-world usage data and specialized synthetic datasets. By optimizing pricing and balancing helpfulness against sycophancy, the release aims to establish a new baseline for general intelligence that transforms complex, multi-step workflows into accessible daily tools.

Artificial meat is harder than artificial intelligence — Lewis Bollard

Lewis Bollard

Lewis Bollard outlines the complex landscape of factory farming, noting that while alternative proteins and AGI face significant cultural and regulatory hurdles, the industry remains economically resilient due to evolutionary optimizations in animal efficiency. Despite venture capital heavily favoring high-risk innovations over incremental humane technologies, targeted philanthropic funding has successfully enabled sexing technologies and corporate pledges that spare billions of animals annually. The discussion further highlights how agricultural lobbies exploit political structures to maintain low welfare standards, yet advocates increasingly leverage public opinion and global expansion in markets like China to drive scalable systemic reforms.

“There Is No Legal Confidentiality When Using Chat GPT” Facing The AI Privacy Issue

Chamath, Jason, Friedberg, Sam Altman

Sam Altman, Chamath Palihapitiya, and David Sachs discussed the critical lack of legal privilege for AI interactions, noting that unlike communications with human professionals, chat histories remain admissible in court. They proposed a regulatory framework where AI models could obtain "bar certification" or medical licensure to secure privileged status, provided they also assume corresponding legal liability, alongside a market demand for end-to-end encrypted services that legally resist subpoenas. The group further highlighted the high accuracy of AI in analyzing personality traits and predicted a future market date for AI professional certification on prediction platforms like Polymarket.

Figma's 250% Pop - The Greatest IPO Mispricing Ever? Meta & Microsoft Blowout Quarters: Broken Down

Brian Halligan, Rory O'Driscoll, Jason Lemkin, Harry Stebbings

The Figma IPO achieved a historic 250% price pop driven by limited supply and high demand, while founder Dylan Field's performance-based equity triggered immediate vesting upon the surge. The discussion further explores critical divergences between public and private market dynamics, noting how Canva is preparing for an offering despite liquidity constraints and how AI capital expenditure currently outpaces application revenue. Finally, the analysis critiques venture capital structures, highlighting acquisition strategies that prioritize technology over talent and advocating for performance-based compensation models that align with tangible operational growth.

Finding the Right Problems: How Sutter Hill Ventures’ Mike Speiser Creates Great Companies

Mike Speiser, Ken Hirsch

Sutter Hill Ventures, led by Managing Director Mike Spicer, operates as a product studio employing over 100 engineers and researchers to directly build portfolio companies like Snowflake, NVIDIA, and Astera Labs rather than acting as a traditional passive investor. The firm utilizes an evergreen fund structure that allows its founders to personally co-invest 25% of all capital while focusing on technical problem-solving in emerging sectors such as generative AI through internal projects REV and Bench. By prioritizing intellectual honesty and rapid iteration cycles, the Palo Alto-based organization aims to achieve massive efficiency gains and solve complex scientific challenges in fields ranging from database architecture to human longevity.

The SIMPLE (& Proven) Way To Earn $100,000 From Nothing! | The Money Making Experts

Alex Hormozi, Codie Sanchez, Daniel Priestley, Steven Bartlett

A private equity expert outlines a comprehensive entrepreneurial framework centered on the "Moat Strategy" to evaluate business viability through margin, operations, advantage, and market size metrics. The session details high-impact sales tactics, including specific pitching mnemonics like CAPSTONE and CLOSER, while emphasizing value arbitrage by targeting the top 10% of wealthy clients and leveraging proof over promises. Finally, the presentation bridges these operational concepts with financial engineering strategies, offering tiered capital-raising paths from AI-driven service activation to leveraging debt-for-equity deals for scalable asset acquisition.

Carta CEO Henry Ward on Raising $1B, Path to ~$500M ARR, & the Move into PE

Henry Ward, Molly O'Shea

Carta, a platform currently approaching $500 million in annual recurring revenue, is scaling its software infrastructure from the venture capital sector into the vastly larger private equity and credit markets by displacing manual spreadsheet workflows. Under CEO Henry Ward's dual strategy of product innovation and internal AI transformation, the company focuses on "execution startups" that out-manage incumbents while utilizing algorithmic tools to enhance operational efficiency and debuggability. With a board comprising major investors like Andreessen Horowitz and Silver Lake, Carta aims to become the definitive institutional standard for fund accounting and capital management within the next five years.

From the Dot-Com Crash to the AI Era: How Builders Survive Waves of Disruption

Martin Casado, Raghu Raghuram, Jeetu Patel

The presentation analyzes how VMware was disrupted by cloud computing and containers before examining Cisco's strategic reset to regain innovation velocity by operating as a large startup while targeting tenfold performance gains. Leaders outline a specific execution framework that protects early-stage innovation teams through narrow ideal customer profiles and a product-led culture to navigate the shift from IT buyers to direct end-user adoption. Furthermore, the discussion positions Cisco as essential AI infrastructure, arguing that surging autonomous agent demand will require a 100x expansion in network capacity driven by a hybrid strategy of vertical integration and open ecosystem partnerships.

Where does your interest come from?

Founders of enduring companies like OpenAI and SpaceX often launched ventures driven by personal hunches rather than initial commercial intent, a strategy that successfully attracted top global talent and significant capital. This success stems from a convergence where inherent ability intersects with unconventional interests to create unique, high-potential enterprises. Ultimately, these non-commercial origins serve as a critical catalyst for gathering the resources necessary to scale transformative projects.

How OnlyFans transformed porn

Bonnie Blue

OnlyFans is reportedly listed for sale at $8 billion despite the platform's distinct subscription model and rigorous age verification protocols. The business features a polarized earnings structure where a small elite of creators generates significant revenue through strategic content, while regulatory scrutiny in the UK and Sweden increasingly threatens the adult entertainment sector. Potential acquirers face a complex dichotomy between the company's substantial profit margins and the severe reputational risks associated with its industry.

Building the Generative Web with AI ft Vercel CEO Guillermo Rauch

Guillermo Rauch, Sonya Huang, Pat Grady

Vercel is leveraging its V0 AI platform to democratize software creation by enabling designers and marketers to build functional applications through natural language, thereby expanding the developer ecosystem to millions. This strategic shift has driven a doubling of the user base without paid acquisition, as the tool automates code generation and security protocols to replace traditional pitch decks with working prototypes. Looking ahead, the company predicts a "generational leap" where AI agents and dynamic web interfaces transform the industry, forcing legacy enterprises to adapt or risk obsolescence within the next five years.

Miles Dieffenbach: Inside Carnegie Mellon’s $4BN Endowment & The Math Behind DPI, TVPI, Illiquidity

Miles Dieffenbach, Harry Stebbings

Carlson and the Carnegie Mellon University endowment team outlined a strategy to overweight venture capital exposure while critiquing the diminishing returns of oversized multi-stage funds. The presentation detailed rigorous due diligence methods focusing on management alignment and partnership stability, alongside a forecast that a correction in the AI sector will necessitate a shift toward public market investments by 2026. Ultimately, the speaker emphasized a return to qualitative partner evaluation over quantitative metrics to navigate a fundraising environment marked by liquidity constraints and regulatory barriers.

Dwarkesh Patel and Noah Smith on AGI and the Economy

Dwarkesh Patel, Noah Smith, Erik Torenberg

The discussion defines Artificial General Intelligence through an economic lens of task automation and analyzes how rapid scaling could trigger explosive growth while rendering traditional human labor economically obsolete without political intervention. Presenting diverging timelines from two to thirty years, the speakers evaluate the potential for a post-labor society where massive AI populations drive expansion into space or generate new wealth distribution models to counteract extreme inequality. Geopolitical risks are framed not as direct conflict but as AI-mediated social manipulation, with the conclusion that decentralized markets and corporate incentives will likely dictate adoption faster than state control or algorithmic breakthroughs.

Ex-Google Exec (WARNING): The Next 15 Years Will Be Hell Before We Get To Heaven! - Mo Gawdat

Mo Gawdat, Steven

Moe Gowdat predicts a mandatory twelve to fifteen-year period of short-term dystopia beginning in 2026, driven by super-intelligent AI amplifying the ego and greed of human leaders rather than replacing them. This era threatens the erosion of fundamental societal pillars including freedom, accountability, and economic stability as the global economy shifts toward zero-cost production and the collapse of traditional labor models. Gowdat argues that transitioning to a future utopia requires a collective human mindset shift toward ethical governance, potentially through a global "CERN of AI" framework that prioritizes collaboration over the concentration of power in a single trillionaire-controlled entity.