Latest Interviews
Showing 31–45 of 79 interview transcripts.
Clear all filters- Sequoia Capital57 min
Scaling AI Rocketships: ElevenLabs’ Mati Staniszewski & Lovable’s Anton Osika
Mati Staniszewski, Anton Osika, Brian
In a discussion comparing 11 Labs and Lovable, founders Mati and Anton detail their rapid scaling of AI ventures from Europe to generate over $200 million in revenue while operating with lean, autonomous teams. The conversation outlines their "founder mode" management styles, which prioritize tight spans of control, deep technical involvement, and a hybrid hiring strategy to balance in-house growth with seasoned executives. By leveraging European talent density and agile product roadmaps, both leaders argue they can outmaneuver larger AI giants through superior focus, speed, and design sensibility.
- Sequoia Capital1h 2m
The Rise of Generative Media: fal's Bet on Video, Infrastructure, and Speed
Gorkem Yurtseven, Burkay Gur, Batuhan Taskaya, Sonya Huang
FAL's platform hosts over 600 generative models across 35 data centers, leveraging a custom distributed supercomputer to optimize video generation against the extreme compute demands of tasks like 4K rendering. By utilizing a dual-model strategy and specialized kernel optimizations, the infrastructure supports complex workflows where customers chain over 14 models to produce content for sectors ranging from education to high-production advertising. This technical approach addresses the rapid 30-day half-life of video AI models, enabling studios and enterprises to integrate real-time generative video into existing pipelines while bypassing the limitations of standard frameworks like PyTorch.
- Sequoia Capital49 min
Intuit CEO Sasan Goodarzi’s Grown-Up CEO Playbook
Sasan Goodarzi, Brad Smith, Andy Jassy
Intuit CEO Sasan Kumar outlines a leadership philosophy centered on deep customer immersion and organizational agility, utilizing mechanisms like the "Day One Challenge" and input-focused goals to prevent inertia. The company drives growth by treating small businesses as distinct consumers while leveraging strategic partnerships with accountants to accelerate sales and retention. Furthermore, Intuit is transitioning from serial product development to a parallel system of intelligence powered by AI and human collaboration, while prioritizing "grit" in hiring to navigate the resilience required for sustained scale.
- Sequoia Capital1h 17m
Parker Conrad’s Revenge Fantasy
Founded by former Zenefits executive Parker Conrad as a "revenge fantasy," Rippling has grown to a $17 billion valuation with 4,000 employees while operating under a "compound software" thesis and a leadership model where the CEO personally administers payroll for the entire workforce. The company distinguishes itself through rigorous hiring practices, a "go and see" management rule, and a high-profile corporate espionage case in Ireland that resulted in the arrest of a competitor's mole to set a precedent against industry spying norms. Ultimately, Conrad advocates for first-principles reasoning over delegated management, asserting that the CEO must act as the primary constituency for speed to prevent organizational slowdown despite the soul-destroying nature of entrepreneurship.
- Sequoia Capital1h 0m
OpenAI Sora 2 Team: How Generative Video Will Unlock Creativity and World Models
Bill Peebles, Thomas Dimson, Rohan Sahai, Konstantine Buhler, Sonya Huang
OpenAI's Sora leverages Diffusion Transformers and space-time tokens to generate coherent videos that increasingly respect physical laws, driving a daily output of seven million clips through an iterative deployment strategy. The platform prioritizes user creation over consumption via algorithmic incentives and the viral "Cameo" feature, while a dedicated API and emerging IP monetization frameworks support diverse enterprise and creator ecosystems. Looking forward, the technology aims to facilitate scientific discovery in physical sciences and evolve into a persistent digital clone platform for social interaction and knowledge work.
- Sequoia Capital1h 0m
Block CTO Dhanji Prasanna: Building the AI-First Enterprise with Goose, their Open Source Agent
Dhanji Prasanna, Sonya Huang, Roelof Botha
Block CTO Dhanji Prasanna drives a strategic shift from a siloed management model to a centralized AI-first architecture, spearheading the "Goose" project that functions as an open-source agent to orchestrate workflows across internal systems. This initiative, which evolved from an internal hack week, enables high autonomy for engineers by integrating diverse LLMs and saving 25% of manual hours through shared, self-learning scripts. Looking forward, Block aims to transition from single-agent co-pilots to collaborative swarm intelligence by 2030, while simultaneously extending this technology to its public-facing Square AI for merchant financial simulations.
- Sequoia Capital50 min
Deal Velocity, Not Billable Hours: How Crosby Uses AI to Redefine Legal Contracting
Crosby, Ryan Daniels, John Sarihan, Josephine Chen
Crosby operates as an AI-first law firm that replaces traditional software models with an integrated service where lawyers and engineers collaborate side-by-side to automate contract review. By rejecting the billable hour in favor of per-document pricing and deploying specialized AI agents alongside human oversight, the firm accelerates negotiation lifecycles to enable single-turn resolutions. This structural innovation targets the underserved "long tail" of legal work, democratizing high-quality contract services while redefining junior attorney roles as managers of autonomous AI systems.
- Sequoia Capital1h 1m
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.
- Sequoia Capital47 min
Mapping the Mind of a Neural Net: Goodfire’s Eric Ho on the Future of Interpretability
Eric Ho, Sonya Huang, Roelof Botha
Founded by Eric Ho, Goodfire is an independent AI interpretability firm utilizing mechanistic techniques to transform neural networks from opaque black boxes into surgically editable systems. The company has secured strategic investment from Anthropic and assembled a team including former DeepMind and OpenAI researchers to develop tools like the "Ember" interface, which allows for precise latent space manipulation. Operating on the prediction that full neural decoding will be achieved by 2028, Goodfire applies these capabilities to diverse fields ranging from genomic analysis with the Arc Institute to legal auditing and enterprise automation.
- Sequoia Capital1h 0m
Why Voice Will Be the Fundamental Interface for Tech ft ElevenLabs’ Mati Staniszewski
Founded in late 2021 by co-founders Piotr and Maddie Staniszewski, ElevenLabs distinguishes itself through a specialized architecture that predicts acoustic output to capture nuanced emotion and tone. The remote company leverages a global team of research engineers and specialized voice coaches to deliver high-fidelity speech synthesis used in healthcare, customer support, and interactive education platforms like Chess.com. With a strategic focus on achieving human-level interaction by 2025, the firm prioritizes low-latency infrastructure and proactive safety measures to enable universal translation and ambient computing.
- Sequoia Capital49 min
The Breakthroughs Needed for AGI Have Already Been Made: OpenAI Former Research Head Bob McGrew
Bob McGrew, Stephanie Zhan, Sonya Huang
Bob McGrew defines 2025 as the "year of reasoning," a pivotal shift where immediate compute utilization and tool-augmented chain-of-thought capabilities drive rapid progress toward AGI while pre-training faces diminishing returns. This paradigm reframes post-training as a behavioral challenge and positions AI agents to democratize intelligence by pricing services at compute costs rather than professional market rates. Consequently, economic value accrues to application layers requiring proprietary enterprise context, while sectors ranging from robotics to software engineering transition to hybrid human-agent workflows that leverage these new efficiency gains.
- Sequoia Capital54 min
Google I/O Afterparty: The Future of Human-AI Collaboration, From Veo to Mariner
Thomas Iljic, Jaclyn Konzelmann, Simon Tokumine, Sonya Huang
Google Labs presented a unified vision for AI development featuring Thomas Morton's Wisp and Flow video generation tools that merge cinematic production with interactive gaming, alongside Jacqueline Kanzelman's Mariner project which automates complex browsing tasks through screenshot-based reasoning. Complementing these capabilities, Simon Takamine detailed Notebook LM's evolution into a dynamic personal knowledge platform offering diverse content formats and mobile integration. Collectively, these updates signal a strategic shift from static media consumption to interactive, co-created experiences driven by state-of-the-art multimodal models expected to define 2025 applications.
- Sequoia Capital48 min
Building the System of Record for the AI Era ft Workday CEO Carl Eschenbach
Carl Eschenbach, Sonya Huang, Pat Grady
Workday CEO Carl Eschenbach is redefining the platform as a unified "Agent System of Record" to govern both human employees and AI agents across its database of over 70 million users. To monetize this shift, the company is deploying a multi-faceted pricing model involving seat-based uplifts, role-based agent fees, and consumption-based API access while utilizing strategic acquisitions like HiredScore to drive measurable productivity gains. Despite an 8% workforce restructuring to fund reinvestment, Eschenbach emphasizes that AI will serve as a growth engine rather than a cost-cutting tool, maintaining a human-in-the-loop approach for critical decisions to preserve the company's core values.
- Sequoia Capital56 min
The Quest to ‘Solve All Diseases’ with AI: Isomorphic Labs’ Max Jaderberg
Founded to construct a general AI-driven drug design engine, Isomorphic Labs has leveraged Demis Hassabis's Nobel Prize-winning leadership and Max Yoderberg's AI expertise to release AlphaFold 3, a diffusion-based model that predicts the 3D structures of proteins, DNA, RNA, and small molecules. By replacing months of traditional crystallization with instant in-silico analysis, the company collaborates with industry partners like Eli Lilly and Novartis to navigate the 10^60-sized chemical space and advance programs in oncology and immunology without operating its own wet labs. This approach positions AI as a fundamental, indispensable tool for the entire pharmaceutical industry within five years, while the firm advocates for new regulatory frameworks to validate these predictive models for clinical trials.
- Sequoia Capital46 min
Pricing in the AI Era: From Inputs to Outcomes, with Paid CEO Manny Medina
Manny Medina, Pat Grady, Lauren Reeder
Manny Medina outlines a strategic pivot for AI success toward narrow, high-utility applications that replace specific Business Process Outsourcing roles rather than general-purpose creative tasks. He details four emerging pricing frameworks, particularly agent-based billing that allows companies to allocate AI costs to human resources budgets, while warning that rising inference costs are compressing margins unless vendors shift to outcome-based revenue models. Medina concludes that sustainable growth requires founders to abandon broad market ambitions in favor of deep vertical expertise, utilizing paid to track unit economics as the industry transitions from trial-based excitement to contract renewals.