Latest Interviews
Showing 1–15 of 20 transcripts.
Clear all filters- Sequoia Capital49 min
Building the Automated AGI Lab: Core Automation's Jerry Tworek and Rohan Anil
Jerry Tworek, Rohan Anil, Sonya Huang, Pat Grady
Founded by Jerry Liu and Rohan Ramachandran, Core Automation aims to replace static Transformer models with a new class of AI systems capable of continual, test-time learning. The organization is building an automated research lab designed to overcome architectural bottlenecks by developing hardware-efficient kernels and enabling models to autonomously optimize their own code. Success for the venture is defined by the system's ability to self-improve without human intervention, effectively extending the team's operations while bypassing the diminishing returns of current scaling methods.
- Sequoia Capital52 min
Factory's Matan Grinberg: The Coming ‘Dark Factory’ Where Software Builds Itself
Matan Grinberg, Sonya Huang, Pat Grady
Factory CEO Matan Cohen refunded nearly $2 million in early revenue to pivot the company from premature autonomous agents to a model-agnostic architecture that prioritizes customer obsession over vendor lock-in. By launching the Droid CLI and implementing a "Model Router" that dynamically allocates tasks between open-weight and frontier models, the firm has shifted its business model toward outcome-based pricing that replaces token consumption with result-oriented billing. This strategy positions Factory to navigate an impending market correction while transitioning enterprises from synchronous tool usage to asynchronous "dark factories" that autonomously resolve complex issues.
- 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.
- Sequoia Capital1h 10m
Why Hardware-Software Co-Design Is AI's Real 100x: Dylan Patel of SemiAnalysis
Dylan Patel, Shaun Maguire, Sonya Huang
Semi-Analysis, founded by Dylan Patel after a period of homelessness and a stint in quantitative trading, has grown to a 90-person team generating nearly $100 million in revenue by blending engineering expertise with hedge fund economics. The firm leverages Patel's annual attendance at over 40 global semiconductor conferences to gather proprietary supply chain data and launched InferenceX, a living benchmarking platform supported by over $50 million in compute donations from major tech firms. Looking ahead, the company projects critical shifts in the industry driven by power grid limitations, the obsolescence of single-architecture hardware, and a strategic pivot toward software-hardware co-design to navigate the escalating demands of artificial intelligence.
- 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 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 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 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 Capital51 min
Josh Woodward: Google Labs is Rapidly Building AI Products from 0-to-1
Josh Woodward, Ravi Gupta, Sonya Huang
Google Labs operates as an autonomous unit dedicated to rapidly prototyping frontier AI products, prioritizing market validation over immediate technological perfection. Key initiatives include Mariner, a computer-use agent currently targeting enterprise automation, alongside Veo, a generative video model solving physics constraints while shifting industry models toward pay-per-output. The organization accelerates innovation by blending veteran engineering with diverse creative talent to launch ideas within 50 to 100 days, ultimately aiming to replace passive consumption with steerable, asset-driven user experiences.
- Sequoia Capital53 min
From AlphaGo to AGI ft ReflectionAI Founder Ioannis Antonoglou
Ioannis Antonoglou, Stephanie Zhan, Sonya Huang, Giannis Antinoglou
DeepMind founders Demis Hassabis and Shane Legg pioneered Artificial General Intelligence research by utilizing video games as controlled testbeds, evolving from AlphaGo's human-supervised neural networks to the self-learning AlphaZero and MuZero architectures. This strategic shift addressed critical limitations like hallucination and the "data wall" by prioritizing reinforcement learning and planning over static data pre-training, a methodology now considered essential for future AGI development. Looking ahead, experts predict that within five years, increased compute will directly yield higher intelligence in autonomous agents, marking a transition toward systems capable of independent reasoning and novel scientific discovery.
- Sequoia Capital52 min
Turning Graph AI into ROI ft Kumo’s Hema Raghavan
Hema Raghavan, Konstantine Buhler, Sonya Huang, Constantine, Sonia
Kumo AI co-founder Hema Raghavan presents a GPU-accelerated AutoML platform that automatically constructs graph structures from relational data to enable predictive SQL-like queries without manual engineering. The system delivers rapid four-week proofs of concept for sectors ranging from fintech fraud detection to healthcare demand forecasting by integrating directly with Snowflake and Databricks while maintaining strict data residency. By combining optimized cost architectures with explainability features and LLM synergies, Kumo lowers the barrier to graph learning for diverse enterprises requiring immediate, accurate model insights.
- Sequoia Capital52 min
Cracking the Code on Offensive Security With AI ft XBOW CEO and GitHub Copilot Creator Oege de Moor
Oege de Moor, Konstantine Buhler, Sonya Huang
Former Oxford professor and GitHub Copilot creator Uge Demore's company Expo deploys an autonomous AI system to automate offensive security testing, achieving an 85% success rate on proprietary benchmarks while matching top human penetration testers in 28 minutes instead of 40 hours. The platform continuously identifies critical vulnerabilities in major financial institutions and replaces traditional $18,000 manual tests with a scalable, subscription-based service designed to outpace AI-assisted cyber threats. Operating on a foundation of proprietary training data and strict cloud-based guardrails, Expo aims to transform web security standards by making continuous, automated offensive testing accessible to organizations of all sizes.
- Sequoia Capital1h 0m
Snowflake CEO Sridhar Ramaswamy on Using Data to Create Simple, Reliable AI for Businesses
Sridhar Ramaswamy, Sonya Huang, Pat Grady, Sonia
Snowflake CEO Sridhar Ramaswamy is driving the company's transformation into an "AI data cloud" that integrates acquired search technology from Neva to serve over 10,000 enterprise customers. The organization addresses reliability concerns in generative AI by prioritizing context engineering and managed governance, enabling business users to access data through grounded chatbots without extensive custom software development. This strategic pivot aims to democratize software creation by embedding AI directly into data workflows, positioning Snowflake to capitalize on the shift toward interoperable cloud storage and controlled mobile ecosystems.
- Sequoia Capital45 min
OpenAI's Noam Brown, Ilge Akkaya and Hunter Lightman on o1 and Teaching LLMs to Reason Better
Noam Brown, Ilge Akkaya, Hunter Lightman, Sonya Huang, Pat Grady
OpenAI's O1 model, internally codenamed Project Strawberry, introduces a paradigm shift by employing "inference time compute" to enable systems to engage in extended, self-correcting reasoning processes akin to human System 2 thinking. This architecture has delivered unprecedented capabilities in STEM domains, allowing the AI to solve complex Olympiad-level programming problems, pass research engineer interviews, and assist in scientific discovery by bridging the gap between difficulty in generation versus verification. While the project faces limitations in speed and creative tasks compared to predecessors like GPT-4, its demonstrated ability to scale performance through increased thinking time marks a significant advancement toward the operational goal of Artificial General Intelligence.
- Sequoia Capital51 min
Phaidra’s Jim Gao on Building the Fourth Industrial Revolution with Reinforcement Learning
Jim Gao, Sonya Huang, Pat Grady
Phaedra CEO Jim Gow leverages reinforcement learning to deploy autonomous "virtual plant operators" that optimize mission-critical industrial facilities like Google's data centers and Merck's vaccine manufacturing plants, achieving up to 40% energy reductions while strictly maintaining safety constraints. By inserting cloud-based intelligence layers over legacy hardware, the system moves beyond simple recommendations to issue direct commands that adapt in real-time to physical changes, effectively solving complex constraint optimization problems without new sensor infrastructure. Looking ahead, Gow targets broader climate impact through AI-driven grid balancing to manage renewable energy volatility, while noting that widespread adoption depends on overcoming historical data storage gaps in the industrial sector.