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  1. 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.

  2. Sequoia Capital45 min

    Why Businesses Are Rejecting the AI They’ve Asked For ft Agency CEO Elias Torres

    Elias Torres, Sonya Huang, Pat Grady

    Elias Torres leverages his experience founding Drift and leading HubSpot's platform rebuild to launch Agency, an AI-native company dedicated to automating entire customer workflows rather than merely assisting human agents. The venture targets enterprise clients by challenging the market's demand for perfect AI accuracy, instead promoting a model that delivers broad functionality with 10-30% efficiency gains while relying on fewer than 100 employees to scale operations. Torres aims to build a $1 billion revenue entity by deprogramming businesses from manual dependency and hiring talent driven by grit and hunger over traditional credentials.

  3. Sequoia Capital43 min

    Building the "App Store" for Robots: Hugging Face's Thomas Wolf on Physical AI

    Thomas Wolf, Sonya Huang, Pat Grady

    Hugging Face has expanded its LeRobot ecosystem to a global community of 10,000 members while accelerating hardware accessibility through the $100 SO-100 robotic arm and the $300 Ritchie Mini unit. By leveraging decentralized datasets, advanced world models, and a coexisting open-source strategy, the platform aims to transform robotics from a niche industry into a horizontal software platform accessible to developers and hobbyists alike. This strategic shift targets an imminent "iPhone moment" in entertainment and education, eventually driving the cost of adaptive robot form factors below $10,000 within the next decade.

  4. 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.

  5. Sequoia Capital15 min

    The $10 Trillion AI Revolution: Why It’s Bigger Than the Industrial Revolution

    Konstantine Buhler

    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.

  6. Sequoia Capital36 min

    Building the Universal AI Automation Layer ft n8n CEO Jan Oberhauser

    Jan Oberhauser, George Robson, Pat Grady, Henry Suryawirawan

    Following a strategic pivot to an orchestration layer for AI agents, N8N achieved a fourfold revenue increase in eight months by shifting from lead-generation tactics to a community-driven adoption model. Led by founder Jan Oberhauser, the company expanded its US operations and redefined its role as a "Excel of AI," supporting a diverse technology stack that allows users to build and manage agents without locking into specific models. This approach positions N8N to capture the market from the bottom up, targeting non-technical builders while anticipating a future acceleration in foundation model innovation driven by capital influx and enterprise demand.

  7. Sequoia Capital30 min

    Scaling the 'Cursor for Slides' to $50M ARR ft Gamma founder Jon Noronha

    Jon Noronha, Sonya Huang

    Founded in 2020 by John Nerona and Grant, Gamma is a visual storytelling platform that has grown to over 50 million users and $50 million in ARR by combining Notion-style writing with Canva-like design. The company survived an existential threat in 2023 by pivoting to a multi-model AI strategy that leverages handcrafted prompts across models like Claude and Gemini to optimize creative output and cost efficiency. With a lean team of 30, Gamma is now expanding its block-based editor into documents and websites while preparing to launch an API in September for automated workflow generation.

  8. Sequoia Capital39 min

    How AI Digital Minds Can Scale Human Connection ft Delphi’s Dara Ladjevardian

    Dara Ladjevardian, Sonya Huang, Jess Lee

    Delphi is developing an adaptive platform that constructs personalized "digital minds" using temporal knowledge graphs to capture the specific reasoning, heuristics, and voice patterns of individual users. Following a strategic pivot from licensing public figures to empowering authentic self-created twins, the technology enables high-value applications in enterprise knowledge scaling, personalized education, and automated lead qualification while strictly adhering to identity verification and safety guardrails. Founder Dara predicts that by 2026, these digital representations will normalize as a consumer standard, transforming human energy and authentic connection into a premium economic resource as the market shifts from passive information feeds to active conversational media.

  9. 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.

  10. Sequoia Capital30 min

    OpenAI’s IMO Team on Why Models Are Finally Solving Elite-Level Math

    Alex Wei, Sheryl Hsu, Noam Brown, Sonya Huang

    Alex Wei, Cheryl Hsu, and Noam Brown led a focused sprint that enabled AI models to achieve gold medal performance at the International Math Olympiad, marking the first instance of a system reaching this elite human benchmark. This breakthrough relied on scaling test-time compute to over 100 minutes of reasoning and deploying self-verification protocols that allowed the model to correctly identify unsolvable problems rather than hallucinating solutions. While the team utilized general-purpose techniques to advance broader reasoning capabilities for future scientific research, they explicitly noted that current constraints prevent solving complex combinatorics or Millennium Prize problems within the required timeframe.

  11. Sequoia Capital38 min

    OpenAI Just Released ChatGPT Agent, Its Most Powerful Agent Yet

    Isa Fulford, Casey Chu, Edward Sun, Sonya Huang, Lauren Reeder

    OpenAI has merged its Deep Research and Operator teams to launch a unified ChatGPT Agent capable of executing complex, multi-hour tasks such as financial modeling and data analysis within a shared virtual environment. This system leverages reinforcement learning and four distinct interface modes to navigate text, graphical interfaces, and code terminals while maintaining robust safety protocols against operational risks. Early testing demonstrates the agent's ability to outperform human baselines in specific technical workflows, signaling a shift toward general-purpose autonomous systems that can operate independently or assist users through interactive correction.

  12. Sequoia Capital41 min

    DeepMind's Pushmeet Kohli on AI's Scientific Revolution

    Pushmeet Kohli, Sonya Huang, Pat Grady

    DeepMind's AlphaEvolve employs a multi-agent evolutionary architecture using Gemini models to autonomously discover entirely new algorithms, successfully resolving long-standing mathematical challenges like reducing 4x4 matrix multiplication steps to 48 and uncovering symmetries in the Cap Set problem with Terence Tao. Operating across languages such as C++, Python, and Verilog, the system generates human-interpretable code that outperforms expert designs in tasks ranging from chip design to data center scheduling without relying on human feedback loops. This breakthrough mirrors the impact of AlphaFold 2 by democratizing scientific discovery, with Pushmeet Kohli predicting that future Nobel Prizes will be won by human-AI collaborative teams as the technology scales into robotics and energy sectors.

  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 Capital41 min

    From DevOps ‘Heart Attacks’ to AI-Powered Diagnostics With Traversal’s AI Agents

    Anish Agarwal, Raj Agrawal, Sonya Huang, Bogomil Balkansky

    Traversal, founded by Anish and Raj, deploys LLM-orchestrated AI agents to automate Root Cause Analysis in DevOps and SRE, transforming fragmented manual troubleshooting into a scalable process. By leveraging statistical causal inference to build semantic dependency maps, the platform achieves approximately 90% accuracy in identifying incident origins within minutes rather than hours. Operating with read-only access, Traversal distinguishes itself as a critical safety net for mission-critical systems, currently rated at an L4 capability level for autonomous diagnostics without requiring complex human intervention or new data generation.