Latest Interviews
Showing 106–120 of 1,628 interview transcripts.
Clear all filters- Sequoia Capital49 min
Anthropic's Katelyn Lesse & Angela Jiang: Building an Ecosystem, not a Walled Garden
Katelyn Lesse, Angela Jiang, Sonya Huang, Lauren Reeder, Caitlin
Anthropic is pivoting its platform strategy from a knowledge-centric foundation to an execution and coordination layer, aiming to democratize custom software development through a unified architecture for both internal and external users. This roadmap introduces specialized primitives for "token-heavy" verticals like coding and finance while enabling flexible model routing and ecosystem interoperability through standards like the Model Context Protocol. By prioritizing cost optimization and advanced workflow orchestration, the company seeks to make the last mile of AI-driven development economically viable for builders ranging from individual developers to large enterprises.
Wix Founder: Will Base44 Win the Vibe-Coding Wars? | The Truth About the Economics of Vibe-Coding
Avishai Abrahami, Harry Stebbings
Wix CEO Avishai Shalom defends the company's dual-platform strategy, which combines its $2.1 billion visual website builder with the $150 million ARR AI coding subsidiary Base44 to address market concerns over AI disruption. Despite a recent $80 million acquisition of a solo-founder engineering team and a $1.5 billion stock buyback, the company forecasts a hybrid future where Base44's headcount could double to 1,000 within two years to serve enterprise and custom needs. Shalom asserts that while AI will boost SMB efficiency in low-complexity tasks, the high trust and switching costs of Wix's established platform will continue to protect its core business from a complete market valuation collapse.
What AI Leaders Really Think | Dylan Field, OpenAI, Boston Dynamics, MIT, IVP
Dylan Field, Ian Silber, Brian Ringley, Niko Klein, Holly Herndon, Zach Lieberman, Shreyas Garg, Molly
Figma's Dylan Field, Boston Dynamics' Brian Ringley, and OpenAI's Ian Silber outlined a strategic shift where AI serves as a collaborative lever for execution rather than a replacement for human intent, while advancing hardware reliability and interface fluidity. Speakers from IVP, MIT Media Lab, and musician Holly Herndon further emphasized that rapid prototyping, data curation, and systemic thinking are now essential for navigating the transition from static tools to autonomous agents in design and robotics. Collectively, the event framed the future of technology as a convergence of physical and digital realms that prioritizes high-level human creativity to overcome market homogenization and drive mass adoption of complex systems.
Why OpenAI and Anthropic Won't Win the App Layer | Glean Founder
Industry leaders project that enterprise AI will rapidly commoditize around open-source models, with Arvind Jain forecasting a three-year shift where most workloads run on such alternatives despite ongoing geopolitical concerns over Chinese capabilities. While organizations struggle to quantify ROI due to currently absurd token economics and inefficient inference costs, companies like Glean are betting on aggressive hiring and composite roles to build 10x superior products as the market matures. This strategy involves leveraging frontier model providers as assets rather than competitors, prioritizing specific problem-solving, and preparing for a rigorous audit of AI spending by 2026 to ensure genuine returns on investment.
"Dig Through Your Couches. SpaceX Needs It." Cyan Banister on Luke Nosek's Pitch
Cyan Banister, Luke Nosek, Scott Banister, Molly O'Shea
Ranking as the world's top angel investors, Cyan and Scott Bannister leverage a methodology of identifying non-obvious trends to secure transformative stakes in companies like SpaceX and Anduril. During their discussion at Long Journey HQ, they outline a future dominated by AI-driven robotics while advocating for decentralized models to counter surveillance states and urging a shift away from traditional degrees toward artisanal entrepreneurship. Blending this strategic foresight with personal philosophies on radical authenticity and introspection, the couple emphasizes the critical need for American deep tech resurgence to navigate the coming "consumer wave" of artificial intelligence.
- All-In Podcast1h 4m
Open Source Wins, AGI Is Here, and Scorsese’s AI Toolkit with CEOs of Cerebras & Black Forest Labs
Andrew Feldman, Robin Rombach, Martin Scorsese
Cerebras Systems leverages a $25 billion order backlog from major tech giants to deploy chips that accelerate AI reasoning fifteen times faster than standard inference, effectively achieving early Artificial General Intelligence while reshaping global energy infrastructure. Simultaneously, Black Forest Labs utilizes its pioneering latent diffusion algorithms to bridge generative media and robotics, partnering with entities like Martin Scorsese to create scalable production tools and autonomous "world models." Both companies advocate for a hybrid ecosystem combining open-source accessibility with proprietary sovereignty, aiming to resolve economic bottlenecks and regulatory challenges through staged deployments and secure data practices.
- Sequoia Capital1h 4m
Kalshi's Tarek Mansour: Chaos by Design
Tarek Mansour, Luana Lopes Lara, Dharmesh
Kalshi co-founders Tarkan and Luana structured their organization to maintain a flat hierarchy and deliberate strategic disagreement, which fueled a legal battle against the CFTC that resulted in a 2024 victory and a 95% dominance of the U.S. prediction market. The company distinguishes itself through a regulated exchange model that charges fees on volume rather than customer losses, while enforcing strict risk management protocols for younger traders to ensure responsible usage. This victory allowed Kalshi to launch political markets just before the 2024 election, leveraging a founder-led culture of aggressive detail and real-time cultural synchronization to solidify its position against offshore competitors.
- 80,000 Hours53 min
The Next President May Control Superintelligence
Sneha Revanur, Zershaaneh Qureshi
Founded by Sneha Ravenor at age 15, the nonprofit ENCODE has evolved from capability skepticism to spearheading a strategic campaign to regulate existential AI risks through state-level legislation and coalition building. The organization successfully influenced California's SB 53 and SB 1047 by prioritizing whistleblower protections and internal deployment reporting, while simultaneously dismantling corporate intimidation tactics like the OpenAI subpoena through diplomatic engagement. Facing the 2028 election as a potential turning point for AI governance, ENCODE advocates for a phased regulatory approach that codifies voluntary safety standards to build political capital before pursuing aggressive liability measures.
- a16z1h 1m
The New Rules of Enterprise Software with Steven Sinofsky
Steven Sinofsky, Seema Amble, Elena Burger
As enterprise software evolves to support AI agents accessing core logic via APIs rather than traditional interfaces, incumbents like Salesforce are pivoting toward "headless" architectures to facilitate direct data retrieval. However, the immense stickiness of legacy systems such as SAP persists due to deeply codified business logic and regulatory compliance that cannot be easily replaced by simple automation or "vibe coding." Consequently, high-value startup opportunities emerge not by competing directly with these giants but by building invisible layers that capture unstructured human context, bridge functional gaps between departments, and manage the complex "long tail" of exceptions that legacy platforms ignore.
- Sequoia Capital55 min
Inside Zipline's Autonomous System: 140M Miles, Zero Incidents
Keller Rinaudo Cliffton, Eric Watson, Alfred Lin, Pat Grady
Since its 2016 launch in Rwanda, Zipline has evolved from a struggling medical logistics provider into a global autonomous infrastructure operator serving 5,000 hospitals across eight countries. The company now achieves a safety record of zero incidents over 140 million commercial miles while leveraging a vertical integration strategy to reduce delivery costs below those of human-driven vehicles. This operational success recently facilitated a $550 million partnership with the US State Department aimed at deploying similar life-saving services under a new commercial diplomacy framework.
Accel: The Quiet Firm Behind Facebook, Cursor, Nebius, Lovable, Vercel
Arun Mathew, Miles Clements, Matt Weigand, Molly O'Shea
Accel leverages its multi-stage platform and three-decade partner cohesion to deploy hundreds of millions in capital across the full technology stack, recently leading significant investments in AI infrastructure giants like Nebius and cybersecurity leader Cyera. The firm strategically balances early-stage discovery with massive late-stage checks targeting potential trillion-dollar outliers, driven by a thesis that artificial intelligence will transition from hype to tangible real-world efficiency in sectors ranging from healthcare to developer tools. By prioritizing operational depth and a silent partnership model over marketing, Accel aims to capture exponential returns as the market converges on trusted platforms capable of scaling proven AI workloads.
Why Now is the Time for the App Layer | Why Startups Should be TokenMaxxing | Mike Mignano, USV
Former founder Mike Mignano joined USV as a General Partner to lead thesis-driven investments in the energy infrastructure layer and application-era AI, leveraging his experience selling Anchor to Spotify. Mignano forecasts a market shift toward autonomous AI agents and cost-optimized routing layers while criticizing current labor displacement narratives and the viability of mid-tier venture funds. Drawing on lessons from Fred Wilson, he emphasizes relationship-building and the "obliterate, don't automate" philosophy to guide USV's focus on reinventing industries rather than merely automating them.
Open Models vs Frontier Models: Who Actually Wins? | The $100K Token Budget Every Engineer Will Need
Clay Bavor, Bret, Harry Stebbings, Sundar
Sierra, a $16 billion company serving 40% of the Fortune 500, is redefining enterprise AI by deploying proprietary fine-tuned models that replace traditional customer support with lifecycle management systems for high-stakes industries. Founder Clay Pavore drives this strategy through an "AI-native" organizational model that integrates engineers directly into client environments, utilizes token budgets comparable to headcount, and mandates the use of coding agents for internal processes and hiring. As the firm anticipates market consolidation into a few dominant platforms, it prioritizes rapid iteration via six-week board cycles and a culture of craftsmanship to navigate the escalating competition in frontier intelligence and cybersecurity.
Coinbase Cuts AI Spend by 50% | Kalshi's $40B Valuation & Impending IPO | The Year for SaaS Roll-Ups
Jason Lemkin, Rory O'Driscoll, Harry Stebbings
Coinbase achieved a 50% reduction in AI token spend through open-source models, sparking a broader industry shift where CFOs now prioritize measurable revenue acceleration over speculative experimentation. This cost discipline threatens frontier model providers like Anthropic and Microsoft, as market volatility and skepticism regarding their standalone AI products risk decelerating Azure growth and future IPO valuations. Simultaneously, regulators and investors increasingly fear "regulatory capture" where US giants leverage national security narratives to eliminate low-cost open-source competitors, while venture capital firms tighten standards to favor only startups demonstrating rapid scale.
Dylan Field on the “Permanent Underclass of Zero Taste”
At Config 2024, Figma CEO Dylan Field addressed a global audience of 10,000 designers and engineers to refute narratives that AI renders design obsolete, asserting instead that human intent and cultural context remain essential for scalable systems. The event highlighted Figma's strategic pivot toward unifying design and code interfaces while introducing tools like Figma Weave to ensure AI outputs align with specific brand voices rather than generic averages. By emphasizing "agent swarms" and data liquidity, the conference outlined a roadmap where platforms empower users to build bespoke tools, shifting market focus from job displacement fears to enhanced offensive productivity capabilities.