Latest Interviews
Showing 1–15 of 28 transcripts.
Clear all filters- Sequoia Capital10 min
From Early Failures to ‘Clash of Clans’ and ‘Brawl Stars’ - Supercell ft Ilkka Paananen
Ilkka Paananen, Maya Hoffree, Joost van Dreunen, Roelof Botha
Supercell established a unique corporate structure known as "cells" that empowers individual game teams with startup-like autonomy, a strategy that enabled leaders to cancel their initial €8 million investment in the Facebook title *Gunshine* to pivot successfully toward mobile platforms. This bold approach fostered a culture where project failures are celebrated as learning experiments, ultimately leading to the creation of industry-defining hits like *Clash of Clans* and *Hay Day* that currently command 60% of total industry playtime. Now fifteen years old, the company continues to navigate the high barrier of launching new titles by embracing increased risk-taking, aiming to emulate the century-long legacy of Nintendo or LEGO while maintaining operational excellence.
- Sequoia Capital15 min
The $10 Trillion AI Revolution: Why It’s Bigger Than the Industrial Revolution
Sequoia Capital frames the current AI landscape as a "cognitive revolution" poised to expand the $10 trillion U.S. services market by applying the "specialization imperative" to transform general-purpose infrastructure into specific high-value applications. The firm targets startups like Harvey, Factory, and Nominal that deliver tangible leverage in professional roles, while anticipating a shift in investment metrics toward real-world performance, reinforcement learning, and compute efficiency per knowledge worker. Looking 12 to 18 months ahead, Sequoia prioritizes breakthroughs in persistent memory, autonomous agent communication protocols, AI voice interfaces, and comprehensive security layers to accelerate the creation of large-scale public service companies.
- Sequoia Capital38 min
OpenAI Codex Team: From Coding Autocomplete to Asynchronous Autonomous Agents
Hanson Wang, Alexander Embiricos, Sonya Huang, Lauren Reeder
OpenAI has rebranded its Codex system into an agentic coding suite specifically RL-tuned to autonomously execute complex enterprise development tasks like debugging, testing, and deployment within isolated cloud environments. Internal adoption data indicates that professional engineers now leverage the tool to generate multiple parallel code iterations daily, effectively shifting their primary responsibility from writing code to validating agent outputs. This strategic pivot aims to redefine 2025 as the "year of agents" by lowering barriers to bespoke software creation while anticipating a market where human developers manage high-level workflows through future interfaces that blend in-IDE pairing with long-running background automation.
- 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 Capital10 min
How to Scale AI Application Inference 100x ft. Fireworks’ Lin Qiao
Fireworks addresses the critical gap between generic model capabilities and specific application needs by co-optimizing inference across quality, speed, and concurrency for over 100,000 variables. This strategic approach reduces inference costs by 10x to 100x through virtual cloud infrastructure that dynamically selects hardware and aligns data distributions, enabling rapid enterprise scaling. The platform has already demonstrated success in transforming high-cost operations into sustainable models, exemplified by a food chain expanding to 1,000 shops and a software firm serving 25 million developers within three months.
- Sequoia Capital20 min
Will Open Source AI Overtake Closed Models? Ft. Olama, Fireworks and Open Router
Jeff Morgan, Dmytro Dzhulgakov, Alex Atallah, Dima, Matthew Walkerman
Industry leaders from Ollama, Fireworks, and OpenRouter advocate for a balanced future where open-source and closed-source models each command 50% of inference tokens, driven by the strategic advantages of decentralized innovation and lower capital barriers. While current open adoption sits at 30%, panelists predict this share will expand as foundational models improve through reinforcement learning and enterprises prioritize ownership of proprietary fine-tuned artifacts. This shift relies critically on sustainable decentralized inference infrastructure to compete against the entrenched advantages of large, closed-source providers.
- Sequoia Capital32 min
OpenAI’s Sam Altman on Building the ‘Core AI Subscription’ for Your Life
Sam Altman, Jens Nordvigsen, DAN GALPIN, SAM SACCONE
OpenAI has evolved from a 14-person research lab into a commercial powerhouse driven by the GPT-3 API and the viral ChatGPT platform, which now serves 500 million weekly active users. Under Sam Altman's leadership, the organization prioritizes high-impact small teams and a vision of becoming a personalized AI operating system while navigating a market where startups outpace legacy enterprises in agility. The company's roadmap emphasizes the transition from text-based assistants to autonomous agents by 2025, with future infrastructure expected to facilitate seamless agent-to-agent communication and eventual robotics applications.
- Sequoia Capital31 min
Google's Jeff Dean on the Coming Transformations in AI
This presentation outlines the trajectory of deep learning from its 2012 scaling breakthroughs toward a future of multi-modal agents and physical robotics capable of performing thousands of tasks within two years. It details a converging industry landscape where a handful of foundational models drive a secondary ecosystem of efficient, specialized architectures supported by Google's upcoming Ironwood TPU generation and Pathways system. The discussion further projects how these advancements will revolutionize scientific discovery, democratize virtual engineering through junior-level AI assistants, and reshape economic structures via dynamic compute allocation.
- Sequoia Capital7 min
Open Evidence Captures Doctors’ Collective Wisdom with AI ft. Zachary Ziegler
OpenEvidence, a medical search tool used daily by over 25% of US physicians, recently enabled an internal medicine doctor to successfully manage an in-flight emergency for an immunocompromised cancer patient without diverting the aircraft. By synthesizing current literature and CDC data, the platform confirmed the patient did not require immediate intervention and provided a targeted treatment protocol that ensured a positive outcome upon landing. Building on this high-volume, real-time performance, the company is now expanding into direct workflow integration and developing an Aggregate Clinical Wisdom initiative to encode expert consensus from top specialists across various fields.
- Sequoia Capital24 min
Anthropic CPO Mike Krieger: Building AI Products From the Bottom Up
Mike Krieger, Trevor Johnsen, Sam Nelsons, Emily Fortuna, Dave Elliott Smith, Mike McDonald Jr.
At a recent strategic discussion, Anthropic executive Mike McDonald Jr. outlined a paradigm shift where the distinction between AI-generated and human-created content becomes irrelevant, emphasizing instead that provenance via blockchain and compelling human storytelling will define future value. The organization is operationalizing this vision through a "bottoms-up" product philosophy and the development of the Model Context Protocol (MCP), which evolved from engineer-led integrations to establish a standardized, open framework for autonomous agent interactions and economic transactions. Internally, this approach has resulted in massive AI adoption with over 70% of code reviews generated by machines, though leaders note that non-technical organizational bottlenecks now pose the primary constraint on high-velocity development.
- Sequoia Capital10 min
9 Years to AGI? OpenAI’s Dan Roberts Reasons About Emulating Einstein
OpenAI demonstrated a strategic pivot toward test-time compute and reinforcement learning by showcasing models like O1 and O3 that solve complex physics problems, such as quantum electrodynamics and General Relativity, in minutes compared to human timescales. To support this new scaling paradigm where reasoning effort outweighs pre-training data, the organization plans to raise $500 billion to construct massive data center facilities in Abilene, Texas. This infrastructure investment aims to accelerate a timeline predicting that within nine years, systems will evolve from reproducing existing scientific knowledge to generating novel discoveries comparable to Einstein's major breakthroughs.
- Sequoia Capital9 min
How OpenAI Built its Groundbreaking Deep Research Product ft. Isa Fulford
OpenAI's Deep Research introduces an agentic o3 model capable of executing complex, multi-step online investigations over five to thirty minutes to generate analyst-level reports. Targeted at professionals like venture capitalists and academics, the system synthesizes cross-lingual data through interactive clarifications and real-time transparency into its reasoning process. While current versions prioritize read-only browsing and citation granularity, the roadmap outlines plans to integrate these tools into broader reasoning models and enable autonomous action-taking based on findings.
- Sequoia Capital34 min
How AI is Reinventing Software Business Models ft. Bret Taylor of Sierra
Bret Taylor, Ravi, Robin Wright, Clay, DAN GALPIN, BRETT HESTERBERG
Brett Taylor, formerly CTO of Facebook and current leader of Sierra, outlines a transformative vision for the AI sector where specialized, outcome-based agents replace traditional websites and software subscriptions. Taylor advises entrepreneurs to evolve beyond personal technical expertise to avoid stagnation, emphasizing that the next trillion-dollar opportunities lie in vertical-specific solutions that deliver tangible business results rather than generic productivity tools. Through Sierra's innovative pricing model that charges only for autonomous resolutions, the company exemplifies a strategic shift toward selling outcomes, positioning startups to outmaneuver legacy incumbents struggling to adapt their business models to this new era.
- Sequoia Capital19 min
The Data Center is the New Unit of Compute: Crusoe CEO Chase Lochmiller
Chase Lochmiller, David Kahn, Pat
Crusoe Energy is rapidly constructing massive AI factories in Abilene, Texas, leveraging a vertically integrated supply chain to deliver gigawatts of power capacity decades ahead of traditional utility timelines. By repurposing stranded renewable energy and deploying advanced cooling architectures, the company accelerates the shift toward sovereign AI infrastructure while addressing critical bottlenecks in power and hardware availability. Founder Chase Lockmiller positions this industrial-scale approach as the mechanism to manufacture intelligence, creating a resilient foundation for the next phase of artificial general intelligence.
- Sequoia Capital18 min
The Physical Turing Test: Jim Fan on Nvidia's Roadmap for Embodied AI
NVIDIA Director Jim Phan outlines the "Physical Turing Test," a benchmark for robots performing complex physical tasks indistinguishable from human performance, while identifying data scarcity as the primary bottleneck for current systems. To overcome this, NVIDIA employs Simulation 2.0, utilizing generative models like Robocasa and video diffusion to exponentially scale training environments and introduce the GR00T N1 open-source model capable of zero-shot generalist control. This technological evolution aims to transition the physical world into a "Physical API," where software-defined skills enable autonomous robots to seamlessly handle household and industrial tasks, effectively embedding human-like dexterity into everyday infrastructure.