Join us as we train our neural nets on the theme of the century: AI. Sonya Huang, Pat Grady and more Sequoia Capital partners host conversations with leading AI builders and researchers to ask critical questions and develop a deeper understanding of the evolving technologies—and their implications for technology, business and society. The content of this podcast does not constitute investment advice, an offer to provide investment advisory services, or an offer to sell or solicitation of an offer to buy an interest in any investment fund.
The massive capital expenditure build-out for AI infrastructure centers on the shift toward highly specialized, purpose-built data centers. Unlike traditional facilities designed for 30-year lifespans, modern AI data centers require co-designing buildings with hardware to handle extreme power densities, often reaching ...
The AI revolution in the enterprise hinges on the "application layer," which serves as the critical bridge between frontier models and complex, real-world business workflows. While foundational models provide intelligence, they lack the operational context required to navigate legacy systems, governance policies, and h...
Peregrine leverages AI to modernize public safety infrastructure by enabling cities to synthesize disparate, siloed datasets into actionable intelligence. Founders Nick Noone and Ben Rudolph emphasize a "forward-deployed engineering" model, where engineers embed within institutions to co-own problems and deliver outcom...
Web search is undergoing a fundamental transformation as the industry shifts from human-centric keyword queries to agentic search, where AI agents perform thousands of times more searches than humans. Parag Agrawal, founder of Parallel Web Systems, addresses this transition by building specialized infrastructure that p...
Reinforcement learning pioneer Rich Sutton and co-founder Khurram Javed argue that the future of artificial intelligence lies in continual learning systems that evolve through direct experience rather than static, pre-trained models. While current large language models demonstrate the power of scaling computation, they...
Chai Discovery is industrializing drug discovery by transforming biology into an engineering discipline, shifting away from serendipitous trial-and-error toward a design-oriented paradigm. Co-founders Josh and Matt emphasize the "bitter lesson" of scaling compute, data, and model architectures to achieve high-success-r...
The current Transformer-based AI architecture has reached a performance plateau, necessitating a transition toward systems capable of continuous, test-time learning. While Transformers effectively distill internet-scale knowledge through pre-training, they lack the flexibility to adapt to evolving real-world tasks with...
Autonomous agents are transforming software engineering from a manual, artisanal process into an industrialized "software factory." Matan, co-founder and CEO of Factory, emphasizes that enterprises require model-independent, modular systems to avoid vendor lock-in and ensure operational resilience. While early adoption...
Anthropic’s developer platform is evolving through a three-layered abstraction model—knowledge, execution, and coordination—to enable the creation of sophisticated agentic systems. By providing robust primitives, the platform empowers builders to move beyond simple chat interfaces toward autonomous agents capable of lo...
Zipline has evolved from a specialized drone delivery service into a global autonomous logistics infrastructure provider, proving that hardware represents only 15% of a successful delivery system. The company’s success stems from deep vertical integration, where every component—from flight computers to motors—is design...
Dylan Patel, founder of Semi-Analysis, details the evolution of the semiconductor industry and the critical role of hardware-software co-design in the AI era. Patel explains how his background in family businesses and internet forum moderation shaped his analytical approach to supply chains and economics. The discussio...
AI models currently face a bottleneck in understanding evolving, private, or company-specific contexts, often relying on inefficient retrieval-augmented generation or massive context windows. Engram co-founders Dan Biderman and Jessy Lin propose a shift toward "always training" models that internalize domain-specific k...
Simulating human behavior through generative agents offers a transformative approach to decision-making in social sciences and corporate strategy. Joon Sung Park, founder and CEO of Simile, details how his team evolved from the "Smallville" experiment—where autonomous agents exhibited emergent social behaviors like pla...
Agentic AI is transforming Google’s product architecture, positioning Gemini as a foundational through line that enables autonomous, action-oriented user experiences. This era of agentic coding serves as a form of narrow superintelligence, drastically reducing development timelines and allowing builders to tackle incre...
The AI revolution represents the largest infrastructure build-out in human history, fundamentally shifting computing from a retrieval-based system to one that generates intelligence in real time. This transition relies on "AI factories"—massive, specialized data centers that transform raw energy into tokens of intellig...
Composer 2 represents a strategic shift for Cursor from an application provider to a foundation model developer, prioritizing specialized model weights for software engineering tasks over general-purpose coding capabilities. By utilizing a trillion-parameter sparse mixture-of-experts model, the team achieved significan...
Serval functions as an AI-native enterprise service management platform designed to bridge the gap between idealized job expectations and daily operational realities. By utilizing natural language to generate workflows and update databases, the platform eliminates the need for manual, time-consuming development. The ar...
Suno transforms music from a passive consumption experience into an active, creative entertainment platform by modeling sound waves from first principles rather than relying on traditional Western musical constraints. By treating audio as continuous data rather than discrete notes, the platform enables users to generat...
ElevenLabs emerged in 2022 to address the lack of emotional depth in synthetic audio, initially inspired by the limitations of monotone dubbing in Polish cinema. The company prioritizes building frontier audio models by focusing on emotional intelligence, real-time streaming, and multi-modal capabilities like music gen...
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