Latest Interviews

Related Companies’ Jeff Blau on Building Hudson Yards

Jeff Blau, John Waldron

Related Companies CEO Jeff Blau transformed a derelict railyard in New York City into the 15-million-square-foot Hudson Yards district by executing a resilient mixed-use strategy that navigated the 2008 financial crisis. To address the regulatory and environmental challenges posed by Local Law 97, Blau founded Energy Re, a subsidiary launching a historic $12 billion renewable energy initiative designed to supply 16% of the city's power through utility-scale wind and solar generation. This dual approach integrates large-scale affordable housing with massive infrastructure projects, proving that aligning corporate capital with public utility goals can drive both economic growth and decarbonization.

The Electric Grid, Explained

Ryan McEntush

Amidst a critical transformer leak and record heat that threatens Texas's independent grid, the event details systemic vulnerabilities in the U.S. power infrastructure, including three-interconnection limits and severe supply chain bottlenecks that delay critical upgrades. Experts highlight an impending energy gap driven by data center expansion and electrification, which current storage and generation models struggle to balance without massive investment in long-duration solutions and nuclear technology. Consequently, policymakers face urgent decisions to modernize aging lines and reform interconnection queues to prevent reliability failures reminiscent of past blackouts or the South African energy crisis.

Trust, reliability, and safety in AI ft. Daniela Amodei of Anthropic and Sonya Huang

Daniela Amodei, Sonya Huang

Anthropic, a Public Benefit Corporation founded three years ago to prioritize trustworthy generative AI, recently launched its Claude 3 model family featuring the high-complexity Opus, the cost-efficient Haiku, and the enterprise-focused Sonnet. These models deliver state-of-the-art coding proficiency and reduced hallucination rates, enabling adoption across sectors from healthcare's Dana-Farber Cancer Institute to financial firms like Bridgewater. Despite ongoing challenges in fully autonomous agent behavior, the company continues to advance safety through its pioneering Constitutional AI techniques and proactive Responsible Scaling Policy to align technical capability with human values.

Making AI accessible with Andrej Karpathy and Stephanie Zhan

Andrej Karpathy, Stephanie Zhan, Brian Halligan, Alex, Sam, Peter, Michael

Andrej Karpathy outlines a future where the Large Language Model serves as a central CPU for a new "LLM OS," treating text, images, and audio as interchangeable peripherals within a decentralized startup ecosystem. He emphasizes that while massive scale drives current capabilities, the industry must overcome significant engineering and energy inefficiency barriers by adopting new hardware architectures and shifting from imitation learning toward self-correcting reinforcement loops. Drawing on lessons from Elon Musk’s management style, Karpathy advises founders to prioritize high-performance products, maintain technical rigor against organizational bloat, and foster a "coral reef" of vertical-specific applications rather than relying on monolithic corporate dominance.

The AI opportunity: Sequoia Capital's AI Ascent 2024 opening remarks

Sonya Huang, Pat Grady, Konstantine Buhler

Sequoia Capital identifies Generative AI as a historic inflection point poised to replace services with software, potentially unlocking a total addressable market in the tens of trillions. While early traction includes $3 billion in annual revenue and significant enterprise automation at firms like Klarna, the industry currently faces a funding imbalance with billions spent on GPU infrastructure against relatively low user retention. Forecasts predict a rapid transition from assistive co-pilots to autonomous agents and self-optimizing neural networks that will fundamentally reshape organizational structures and drive deflationary productivity across critical sectors.

Open sourcing the AI ecosystem ft. Arthur Mensch of Mistral AI and Matt Miller

Arthur Mensch, Matt Miller

Founded in April 2023 by Arthur Conch, Guillaume Lample, and Timothée, Mistral AI accelerates global AI adoption through a dual strategy of rapid open-source releases and high-performance commercial models like Mistral Large. The company leverages its French headquarters to access cost-efficient engineering talent while forging strategic partnerships with Microsoft, Snowflake, and Databricks to deploy stateful AI directly within enterprise data clouds. Looking ahead, Mistral plans to expand its European language dominance and introduce multimodal capabilities, aiming to evolve from serverless APIs into a comprehensive ecosystem of customizable, autonomous agents.

Nick Abouzeid, Rivet: Growth "Hacking" Myths, What Worked at Ramp, & Better Tax Services

Nick Abouzeid, Molly O'Shea

Former Ramp Growth Lead Nick Abouzaid and co-founder Kyle launched Rivet, a venture-backed tax preparation firm designed to combine human expertise with technology to address fragmentation in the industry. Backed by a pre-seed round from XYZ Ventures and supported by over 40 executives from top firms, the company utilizes existing tax platforms like Drake while developing proprietary front-end tools to improve client responsiveness and automate manual data entry. The founders emphasize a strict operational framework where growth is driven by singular metric ownership and high-impact testing rather than complex experiments, aiming to build a long-term, multi-billion dollar service firm.

Why Founders Shouldn't Think Like Investors

Dalton, Michael

Dalton and Michael argue that early-stage founders trained in venture capital or corporate consulting often fail by applying large-company frameworks like extensive market analysis and exit planning to pre-product startups. This "VC mindset" creates analysis paralysis and a detachment from the critical "micro" work of manually acquiring the first customer, whereas successful execution requires a "beginner's mind" focused on deep user immersion and domain expertise. The speakers conclude that founders must unlearn these counterproductive habits to embrace the uncertainty of the zero-to-one phase and leverage the flexibility needed to navigate early business failure.

Bringing AI to the Masses with Adam D'Angelo, CEO of Quora

Adam D'Angelo, David George, Sarah Wang, Max Wiethe, Dan Morehead, Matt Rowe

Former Quora CEO Adam D'Angelo launched Poe as a multi-platform aggregator to navigate the shift from human-centric knowledge publishing to an instant, multi-model chat paradigm driven by generative AI. The platform differentiates itself by supporting diverse fine-tuned models and an open API that enables independent creators to deploy specialized tools while sharing revenue to offset high inference costs. D'Angelo anticipates a bifurcated market where Poe serves the downstream application layer of accessible AI, eventually evolving into a symbiotic network that complements Quora's human expertise with scalable automated agents.

Global transit & trade: in rough waters

Admiral James Stavridis, Tobias Meyer, Alison Nathan, James Stavridis

Admiral James Stavridis warns that maritime risks have reached unprecedented levels due to great power competition, state-sponsored terrorism, and vulnerabilities in undersea internet infrastructure, while Tobias Mayer analyzes supply chain shifts driven by regulatory complexity rather than physical disruptions. Despite Houthi attacks in the Red Sea causing a 10–20% rise in logistics costs, the global shipping fleet remains resilient enough to absorb reroutes without systemic failure as companies adopt omnishoring strategies to diversify assembly locations. Ultimately, the convergence of these geopolitical tensions and evolving trade patterns suggests a future where security coalitions must balance military deterrence against China and Russia while adapting commercial networks to manage increased operational costs and regulatory fragmentation.

Fannie Mae’s Priscilla Almodovar on strengthening the US housing system

Priscilla Almodovar, Megan Hogan

Fannie Mae leverages its $4.3 trillion balance sheet to advance equity and sustainability while navigating a market forecasted to shift from recession fears to slow growth as mortgage rates decline toward the sixes. The organization is addressing a critical inventory shortage driven by the "lock-in effect" and demographic shifts, simultaneously deploying credit innovations like rent-reporting pilots to close the 30% homeownership gap for Black and Latino households. Under the strategic leadership of board member Priscilla Ortiz, Fannie Mae also introduces a "Mission Index" to quantify social impact for investors and promotes green bond incentives for sustainable rental housing.

The best AI founders in the world are moving here

San Francisco has re-established its status as a global hub for artificial intelligence following the ChatGPT catalyst, which reversed the remote work exodus and concentrated major entities like OpenAI and Anthropic within a specific "Cerebral Valley" cluster. Y Combinator's strategic relocation to the Dog Patch further intensifies this agglomeration by physically co-locating hundreds of founders to maximize high-frequency networking and accelerate the current "boom loop." This renewed density is projected to drive a decade-long economic recovery, filling previously vacant downtown offices while fostering a techno-optimist society that reinvests tech wealth into housing, safety, and inclusive growth.

America Needs More Techno-Optimism, with Marc Andreessen and Tyler Cowen

Marc Andreessen, Tyler Cowen

The event analyzes the divergent generational adoption of AI, noting that while Large Language Models compress skill gaps by elevating lower-skilled workers, regulatory fragmentation and the shift to managerial capitalism currently stifle US economic dynamism. Key figures highlight the necessity of centralized nuclear energy infrastructure to power AI deployment and advocate for a "bourgeois" entrepreneurial approach where specific use-case regulations replace broad technology bans to foster innovation. Ultimately, the discussion frames the future as a bipolar global competition between American R&D and Chinese deployment, requiring agile defense strategies and open-source scrutiny to maintain national security.

High mortgage rates, limited inventory continue to challenge the US housing market

Roger Ashworth, Allison Nathan

Despite existing home sales collapsing to thirty-year lows due to severe affordability shocks and a borrower lock-in effect, institutional investors and persistent demographic demand are preventing a market correction. Goldman Sachs Research forecasts a 5% price appreciation in 2024 and declining mortgage rates by 2025, driven by tight inventory and a projected population boom among primary buying-age cohorts. While supply chain hurdles and macroeconomic risks like inflation threaten to delay recovery, historically low foreclosure rates and substantial homeowner equity provide a stable price floor.

David Weisburd, 10X Capital: Finding Alpha and LP Bias

David Weisburd, Molly O'Shea

David Weisberg, the strategy architect behind Tenex Capital's venture franchise, leverages his *Liquidity* podcast to dissect the structural tensions between General Partners and Limited Partners in today's AI-driven market. He argues that the sector operates as an access class defined by a critical misalignment between founder risk mitigation and the LP demand for concentrated power-law outcomes, a dynamic that creates volatility during conflicting economic cycles. Weisberg advises navigating this environment through time diversification, limiting portfolios to fifteen to twenty-five positions to optimize alpha, and utilizing early-stage secondary sales to return capital without relying solely on lagging DPI metrics.