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  1. Sequoia Capital47 min

    Chai Discovery's Bitter Lesson: Drug Design Is Another Scaling Problem

    Josh Meier, Matt McPartlon, Pat Grady, Sonali Singh

    Chai Discovery is industrializing drug discovery by deploying a simplified, AI-driven infrastructure that replaces traditional trial-and-error with scalable molecule design, partnering with major pharmaceutical firms like Eli Lilly and Pfizer rather than managing a full internal pipeline. The company's second-generation model has achieved a 15% binding success rate through diffusion-based generation and a continuous feedback loop from wet-lab experiments, effectively targeting historically undruggable biological structures. By shifting the industry toward computational "last in class" solutions, Chai aims to accelerate development timelines from months to days while ensuring extreme safety and manufacturability at the molecular generation stage.

  2. 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.

  3. Sequoia Capital1h 9m

    The Philosopher CEO | Clay Co-Founder Kareem Amin

    Clay Co-Founder Kareem Amin, Kareem Amin, Varun, Nikolai, Mike Vernal, Pete Caputa, Jack Dorsey, David Solomon, Tarek

    Clay CEO Kareem guides his company through a "long strange trip" of pivoting from broad ambitions to the specific niche of Go-to-Market Engineering, where he prioritizes radical transparency and usage-based pricing to align with technical users. By rejecting standard management dogmas in favor of "momentum detective" leadership and "deep work" practices, Kareem fosters a culture of devotion that withstands pricing backlash and drives a unique product philosophy valuing flexibility over simplicity. This strategy successfully established a new market category while navigating a five-year period of ambiguity to achieve product-market fit without relying on external validation.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. Sequoia Capital1h 0m

    Why Voice Will Be the Fundamental Interface for Tech ft ElevenLabs’ Mati Staniszewski

    Mati Staniszewski, Pat Grady

    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.

  15. 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.