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.

“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.

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.

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.

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.

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.

The Future of AI Video: How Fal.ai is Making AI Video Faster & Easier

Burkay Gur, Batuhan Taskaya, Jennifer Li

This event details the strategic evolution of a company that pivoted from cloud infrastructure to a multi-cloud generative media marketplace in response to the 2021 GPU crunch and stable diffusion surge. The organization addresses volatile video model dynamics by deploying a proprietary orchestration architecture that manages tens of thousands of GPUs, enabling sub-second inference for fine-tuning and complex chained workflows. Looking ahead, the discussion projects 2025 as a critical tipping point where generative video shifts from single-step generation to enterprise-ready applications in advertising, gaming, and interactive product demonstrations.

Tech vs. Media: Balaji Srinivasan on the Battle Shaping Our Future

Balaji Srinivasan, Erik Torenberg

The presentation frames the 2000 to 2012 era as a pivotal shift where declining newspaper revenues triggered a cultural radicalization and a structural conflict between state-aligned legacy media and decentralized tech networks. It critiques traditional journalism as an predatory industry that manufactures villains to sustain revenue, contrasting this with Elon Musk's acquisition of X as a liberation event that restored direct distribution channels for creators. The argument concludes that the future of truth lies in cryptographic verification and "network states" where individuals bypass corrupt institutions to govern their own digital realities through exit and economic choice.

Snyk CEO, Peter McKay: Building Securely in the AI Era

Peter McKay, Helena Chow

Snyk has pivoted from its roots as a developer security pioneer to an AI-first organization that launched an AI Trust Platform to secure the exponential growth of code generation vulnerabilities. By integrating guardrails into tools like GitHub Copilot and Cursor, the company leverages its decade of DevSecOps experience to automate vulnerability remediation and protect agentic systems for its 4,500 global customers. Backed by $400 million in cash reserves for strategic acquisitions, Snyk is aggressively executing an "AI SecOps" strategy to shift enterprise security from a reactive model to one where protection is built-in by default for a rapidly expanding universe of non-technical developers.

“Stocks Are Still Very Undervalued”

Anshul Sehgal, Chris Hussey

Goldman Sachs projects a 30% recession probability for late 2024 while anticipating strong global growth driven by AI integration, German defense spending, and significant U.S. fiscal expansion. The firm recommends a long U.S. stock strategy based on undervaluation and currency debasement, despite a Federal Reserve divergence where Governors Waller and Bowman urge immediate rate cuts against Chair Powell's wait-and-see approach. Investors are advised to monitor seasonal liquidity risks in August and prepare for a credit boom that could drive mortgage origination and inflation by mid-2025.

Health Tech Founders: The Future of Care Is Personalized, Proactive—and AI-Powered

Bryan Kim, Jonathan Swerdlin, Daniel Cahn

Jonathan Sorlin of Function Health and Daniel of Slingshot AI are launching AI-driven platforms that address critical gaps in physical and mental healthcare by transforming reactive medical models into proactive, data-centric prevention systems. Their products prioritize human experience over traditional metrics, utilizing autonomous tools to interpret complex biomarkers and foster therapeutic alliances without replacing human providers. This approach aims to scale access for millions by reducing systemic friction and burnout, ultimately lowering costs while empowering users to maintain autonomy and deepen genuine human connections.

Groq's CEO: A conversation with Jonathan Ross

Jonathan Ross

Grok is establishing a strategic foothold in Europe with a newly operational Helsinki data center that leverages proprietary SRAM-based LPUs to solve critical compute shortages through air cooling and reduced energy consumption. By combining this hardware with a fully automated compiler and sovereign AI partnerships in Saudi Arabia and Canada, the company differentiates itself with a high-volume, low-margin revenue model optimized for sequential token generation. This approach positions Grok as a complementary force to NVIDIA, targeting the lucrative inference market where its architecture achieves superior latency and efficiency while navigating a regulatory landscape it defines as akin to utility infrastructure.