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Sonya Huang

Sequoia Capital partner focused on AI; co-host of Sequoia's Training Data podcast

Every podcast episode featuring Sonya Huang that Attunex has found: 82 interviews and appearances across 5 shows between 2023 and 2026. Most often on Training Data (77) and TBPN (2). Often in conversation with Pat Grady, Shaun Maguire and Roelof Botha. Follow Sonya in Attunex to get new appearances automatically, each with an on-device transcript and summary.

Follow Sonya Huang in Attunex

Updated 2026-10-14.

  1. David Silver and Lasse Espeholt of Ineffable Intelligence: A Superlearner for the Age of Experience
    Training Data

    David Silver spent two years building AlphaGo on human data. When he removed human data altogether building AlphaGo Zero, the AI surpassed AlphaGo in under two days. He left DeepMind to run that same…

    2026-10-13
  2. Google's AI Infrastructure Chief, Amin Vahdat, on the Physics & Economics of Frontier AI
    Training Data

    At 100,000-accelerator scale, something fails multiple times an hour, which is why Google's Chief Technologist for AI Infrastructure Amin Vahdat thinks FLOPS is a vanity metric. The metric that…

    2026-10-06
  3. Box's Aaron Levie: On Reinventing Yourself in the AI Age and Enterprise Diffusion
    Training Data

    Starting a company is hard. Reinventing your company for AI as a public company with quarterly earnings results is even harder. Aaron Levie has pulled off the transition with Box and offers hard-won…

    2026-09-15
  4. Parallel’s Parag Agrawal: Building a New Web for AI Agents
    Training Data

    Parag Agrawal is making a bet that goes against two decades of web search: agents will query the web a thousand times more than humans ever have, and the infrastructure built around human clicks is…

    2026-08-25
  5. #683.Rich Sutton:大语言模型不是真正的智能,我们卡在了一个局部最优里
    跨国串门儿计划AI

    📝 本期播客简介 本期我们克隆了:知名播客 Training Data Rich Sutton and Khurram Javed: Why AI Models Stop Learning, and How to Start It Again。原内容更新时间:2026-08-18。嘉宾 Rich Sutton 与 Khurram Javed…

    2026-08-20
  6. Rich Sutton and Khurram Javed: Why AI Models Stop Learning, and How to Start It Again
    Training Data

    Rich Sutton, who helped pioneer reinforcement learning and wrote the seminal AI essay The Bitter Lesson, has now cofounded Oak Lab with his former student Khurram Javed. Their goal: to build agents…

    2026-08-18
  7. 红杉「Own Your Intelligence」系列专题 1:Sonya Huang-企业如何构建自己的智能
    AI智识录AI

    红杉资本近期发起了一个名为「Own Your Intelligence」的系列专题分享,邀请在"企业自建智能"方面实践最多的几家公司,围绕战略理念、模型后训练、强化学习环境与垂直落地四大议题做系统分享。 本期由红杉资本专注于 AI 与企业级软件投资的合伙人 Sonya Huang 立论,她系统阐述了"主权 AI(Sovereign…

    2026-08-13
  8. Building the Automated AGI Lab: Core Automation's Jerry Tworek and Rohan Anil
    Training Data

    Jerry Tworek led reasoning at OpenAI, convinced that scaling reinforcement learning was the path to AGI. Rohan Anil co-led Gemini pre-training and built the Shampoo optimizer. Now they've teamed up…

    2026-07-29
  9. Factory's Matan Grinberg: The Coming ‘Dark Factory’ Where Software Builds Itself
    Training Data

    Factory started building fully autonomous coding agents in April 2023, two years before enterprises were ready. Matan Grinberg now says this is indistinguishable from being wrong. The Factory…

    2026-07-21
  10. Anthropic's Katelyn Lesse & Angela Jiang: Building an Ecosystem, not a Walled Garden
    Training Data

    Katelyn Lesse and Angela Jiang lead the team building Anthropic's developer platform - the layer that both outside builders and Anthropic's own products run on top of. Angela frames the platform as a…

    2026-07-14
  11. Why Hardware-Software Co-Design Is AI's Real 100x: Dylan Patel of SemiAnalysis
    Training Data

    Dylan Patel, founder of SemiAnalysis, argues the biggest gains in AI don't come from faster chips, they come from software-hardware co-design. Optimizing the model, the kernels, and the silicon…

    2026-06-30
  12. Memory and Continual Learning: Engram's Dan Biderman and Jessy Lin
    Training Data

    Dan Biderman and Jessy Lin, co-founders of Engram, are building a neolab around memory and continual learning, which they call two sides of the same coin. Their contrarian premise: instead of…

    2026-06-24
  13. Simulating Humans at Scale: Simile's Joon Sung Park
    Training Data

    The race to build superintelligence is producing models that keep getting better at objective problems, but not at behaving like actual people. Joon Sung Park, founder and CEO of Simile and creator…

    2026-06-16
  14. Google DeepMind's Logan Kilpatrick: Why the Model Eats the Harness
    Training Data

    The entire startup ecosystem is racing to build agent harnesses. Logan Kilpatrick, who leads Google AI Studio and the Gemini API, argues that scramble has a roughly 12-month shelf life. Models will…

    2026-06-11
  15. How Cursor Trained Composer on Fireworks: Distributed Infrastructure for High-Performance RL
    Training Data

    Cursor's Federico Cassano and Fireworks' Dmytro Dzhulgakov explain how they collaborated to build Composer as a specialized foundation model. The core insight: models have finite capacity in their…

    2026-05-26
  16. Suno's Mikey Shulman: Everyone Can Make Music Now
    Training Data

    Most music platforms assume you're a listener. On Suno, 90% of daily users make something. Founder and CEO Mikey Shulman explains why that flips the model: the act of creating IS the entertainment,…

    2026-05-13
  17. From SEO to Agent-Led Growth: Profound’s James Cadwallader
    Training Data

    James Cadwallader, co-founder and CEO of Profound, makes the case that we are living through the biggest platform shift in marketing history. The front door of the internet hasn't changed, but the…

    2026-04-14
  18. How Autonomous Labs Will Transform Scientific Research: Ginkgo Bioworks’ Jason Kelly
    Training Data

    Jason Kelly founded Ginkgo Bioworks in 2008 with a simple but radical idea: DNA is code, and cells are programmable. Sixteen years later, AI is finally making that vision real in ways that could…

    2026-03-24
  19. Greetings, Earthlings: Philip Johnston of Starcloud on Data Centers in Space
    Training Data

    Philip Johnston, founder and CEO of Starcloud, explains why space will become the primary location for AI compute infrastructure within the next decade. After witnessing SpaceX's massive…

    2026-03-17
  20. Physics Gets a Vote: Nominal Cofounders on Hardware Development in an AI World
    Training Data

    Nominal’s cofounders (Cameron McCord, Jason Hoch and Bryce Strauss) realized that the new age of reindustrialization requires a new approach to hardware engineering and testing that’s closer to how…

    2026-03-10
  21. Building the GitHub for RL Environments: Prime Intellect's Will Brown & Johannes Hagemann
    Training Data

    Will Brown and Johannes Hagemann of Prime Intellect discuss the shift from static prompting to "environment-based" AI development, and their Environments Hub, a platform designed to democratize…

    2026-02-10
  22. Making the Case for the Terminal as AI's Workbench: Warp’s Zach Lloyd
    Training Data

    Zach Lloyd built Warp to modernize the terminal for professional developers, but the rise of coding agents transformed his company's trajectory. He discusses the convergence of IDEs and terminals…

    2026-01-27
  23. Context Engineering Our Way to Long-Horizon Agents: LangChain’s Harrison Chase
    Training Data

    Harrison Chase, cofounder of LangChain and pioneer of AI agent frameworks, discusses the emergence of long-horizon agents that can work autonomously for extended periods. Harrison breaks down the…

    2026-01-21
  24. Elon vs OpenAI, Ads in ChatGPT, Leaked Tech Emails | Sean Frank, Bill Shufelt, Alex Mashrabov, Sonya Huang & Pat Grady
    TBPN

    Sign up for TBPN’s daily newsletter at TBPN.com (02:30) - Elon vs OpenAI (58:16) - Ads in ChatGPT (01:11:57) - WSJ Mansion Section (01:28:54) - Bill Shufelt, a former hedge fund trader and…

    2026-01-16
  25. How Ricursive Intelligence’s Founders are Using AI to Shape The Future of Chip Design
    Training Data

    Anna Goldie and Azalia Mirhoseini created AlphaChip at Google, using AI to design four generations of TPUs and reducing chip floor planning from months to hours. They explain how chip design has…

    2026-01-14
  26. Training General Robots for Any Task: Physical Intelligence’s Karol Hausman and Tobi Springenberg
    Training Data

    Physical Intelligence’s Karol Hausman and Tobi Springenberg believe that robotics has been held back not by hardware limitations, but by an intelligence bottleneck that foundation models can solve.…

    2026-01-06
  27. Why the Next AI Revolution Will Happen Off-Screen: Samsara CEO Sanjit Biswas
    Training Data

    Sanjit Biswas is one of the rare founders who has scaled AI in the physical world – first with Meraki, and now with Samsara, a $20B+ public company with sensors deployed across millions of vehicles…

    2025-12-16
  28. The Rise of Generative Media: fal's Bet on Video, Infrastructure, and Speed
    Training Data

    fal is building the infrastructure layer for the generative media boom. In this episode, founders Gorkem Yurtseven, Burkay Gur, and Head of Engineering Batuhan Taskaya explain why video models…

    2025-12-10
  29. Why IDEs Won't Die in the Age of AI Coding: Zed Founder Nathan Sobo
    Training Data

    Nathan Sobo has spent nearly two decades pursuing one goal: building an IDE that combines the power of full-featured tools like JetBrains with the responsiveness of lightweight editors like Vim.…

    2025-12-02
  30. How End-to-End Learning Created Autonomous Driving 2.0: Wayve CEO Alex Kendall
    Training Data

    Alex Kendall founded Wayve in 2017 with a contrarian vision: replace the hand-engineered autonomous vehicle stack with end-to-end deep learning. While AV 1.0 companies relied on HD maps, LiDAR…

    2025-11-18
  31. OpenAI Sora 2 Team: How Generative Video Will Unlock Creativity and World Models
    Training Data

    The OpenAI Sora 2 team (Bill Peebles, Thomas Dimson, Rohan Sahai) discuss how they compressed filmmaking from months to days, enabling anyone to create compelling video. Bill, who invented the…

    2025-11-06
  32. Nvidia CTO Michael Kagan: Scaling Beyond Moore's Law to Million-GPU Clusters
    Training Data

    Recorded live at Sequoia’s Europe100 event: Michael Kagan, co-founder of Mellanox and CTO of Nvidia, explains how the $7 billion Mellanox acquisition helped transform Nvidia from a chip company into…

    2025-10-28
  33. Securing the AI Frontier: Irregular Co-founder Dan Lahav
    Training Data

    Irregular co-founder Dan Lahav is redefining what cybersecurity means in the age of autonomous AI. Working closely with OpenAI, Anthropic, and Google DeepMind, Dan, co-founder Omer Nevo and team are…

    2025-10-21
  34. Why AI Will Transform Customer Experience: Cresta CEO Ping Wu and Sequoia’s Doug Leone
    Training Data

    Ping Wu built Google's contact center business before becoming CEO of Cresta, where he's pioneering a unique approach to contact center transformation. Rather than full automation Ping advocates a…

    2025-10-14
  35. Block CTO Dhanji Prasanna: Building the AI-First Enterprise with Goose, their Open Source Agent
    Training Data

    As CTO of Block, Dhanji Prasanna has overseen a dramatic enterprise AI transformation, with engineers saving 8-10 hours a week through AI automation. Block’s open-source agent goose connects to…

    2025-09-30
  36. Why Businesses Are Rejecting the AI They’ve Asked For: Agency CEO Elias Torres
    Training Data

    Elias Torres has been building AI systems since 1999, from chatbots at IBM to co-founding Drift and now Agency. He believes businesses are caught in an expectation mismatch—demanding AI while…

    2025-09-23
  37. Building the "App Store" for Robots: Hugging Face's Thomas Wolf on Physical AI
    Training Data

    Thomas Wolf, co-founder and Chief Science Officer of Hugging Face, explains how his company is applying the same community-driven approach that made transformers accessible to everyone to the…

    2025-09-09
  38. Scaling the ‘Cursor for Slides’ to $50M ARR: Gamma founder Jon Noronha
    Training Data

    Before ChatGPT made AI mainstream, John Noronha was building Gamma with a simple insight: everyone hates making slides but needs visual communication for high-stakes ideas. His background at…

    2025-08-19
  39. Delphi’s Dara Ladjevardian: How AI Digital Minds Can Scale Human Connection
    Training Data

    Dara Ladjevardian, founder and CEO of Delphi, is creating digital minds that allow people to scale their thoughts and availability without replacing human connection. Inspired by Ray Kurzweil’s…

    2025-08-12
  40. Vercel CEO Guillermo Rauch: Building the Generative Web with AI
    Training Data

    Vercel CEO Guillermo Rauch has spent years obsessing over reducing the friction between having an idea and getting it online. Now with AI, he's achieving something even more ambitious: making…

    2025-08-05
  41. OpenAI’s IMO Team on Why Models Are Finally Solving Elite-Level Math
    Training Data

    In just two months, a scrappy three-person team at OpenAI sprinted to fulfill what the entire AI field has been chasing for years—gold-level performance on the International Mathematical Olympiad…

    2025-07-30
  42. OpenAI Just Released ChatGPT Agent, Its Most Powerful Agent Yet
    Training Data

    Isa Fulford, Casey Chu, and Edward Sun from OpenAI's ChatGPT agent team reveal how they combined Deep Research and Operator into a single, powerful AI agent that can perform complex, multi-step tasks…

    2025-07-22
  43. DeepMind's Pushmeet Kohli on AI's Scientific Revolution
    Training Data

    Pushmeet Kohli leads AI for Science at DeepMind, where his team has created AlphaEvolve, an AI system that discovers entirely new algorithms and proves mathematical results that have eluded…

    2025-07-11
  44. Mapping the Mind of a Neural Net: Goodfire’s Eric Ho on the Future of Interpretability
    Training Data

    Eric Ho is building Goodfire to solve one of AI’s most critical challenges: understanding what’s actually happening inside neural networks. His team is developing techniques to understand, audit and…

    2025-07-08
  45. From DevOps ‘Heart Attacks’ to AI-Powered Diagnostics With Traversal’s AI Agents
    Training Data

    Anish Agarwal and Raj Agrawal, co-founders of Traversal, are transforming how enterprises handle critical system failures. Their AI agents can perform root cause analysis in 2-4 minutes instead of…

    2025-06-24
  46. The Breakthroughs Needed for AGI Have Already Been Made: OpenAI Former Research Head Bob McGrew
    Training Data

    As OpenAI's former Head of Research, Bob McGrew witnessed the company's evolution from GPT-3’s breakthrough to today's reasoning models. He argues that there are three legs of the stool for…

    2025-06-17
  47. OpenAI Codex Team: From Coding Autocomplete to Asynchronous Autonomous Agents
    Training Data

    Hanson Wang and Alexander Embiricos from OpenAI's Codex team discuss their latest AI coding agent that works independently in its own environment for up to 30 minutes, generating full pull requests…

    2025-06-10
  48. Google I/O Afterparty: The Future of Human-AI Collaboration, From Veo to Mariner
    Training Data

    Fresh off impressive releases at Google’s I/O event, three Google Labs leaders explain how they’re reimagining creative tools and productivity workflows. Thomas Iljic details how video generation is…

    2025-06-03
  49. From Data Centers to Dyson Spheres: P-1 AI's Path to Hardware Engineering AGI
    Training Data

    Former Airbus CTO Paul Eremenko shares his vision for bringing AI to physical engineering, starting with Archie—an AI agent that works alongside human engineers. P-1 AI is tackling the challenge of…

    2025-05-27
  50. Gong’s Amit Bendov: From Meeting Recordings to Revenue AI
    Training Data

    CEO Amit Bendov shares how Gong evolved from a meeting transcription tool to an AI-powered revenue platform that's increasing sales capacity by up to 60%. He explains why task-specific AI agents are…

    2025-05-20
  51. Mother's Day Gift Guide, Rorra in WSJ, Morgan Housel, Mehul Nariyawala, Sonya Huang, Stanford Review, Will Quist, Aidan Dewar, George Maloney
    TBPN

    TBPN.com is made possible by: Ramp - https://ramp.com Figma - https://figma.com Vanta - https://vanta.com Linear - https://linear.app Figma - https://www.figma.com Eight Sleep -…

    2025-05-09
  52. Workday CEO Carl Eschenbach: Building the System of Record for the AI Era
    Training Data

    Workday CEO and Sequoia partner Carl Eschenbach explains how the company is evolving its platform to handle both human and AI workers. He shares Workday’s three-pronged approach to monetizing AI…

    2025-05-06
  53. Replit CEO Amjad Masad on 1 Billion Developers: A Better End State than AGI?
    Training Data

    Amjad Masad set out more than a decade ago to pursue the dream of unleashing 1B software creators around the world. With millions of Replit users pre-ChatGPT, that vision was already becoming a…

    2025-04-08
  54. From Software Engineers to AI Word Artisans: Filip Kozera of Wordware
    Training Data

    Filip Kozera sees parallels between Excel’s democratization of data analytics and Wordware’s mission to put AI development in the hands of knowledge workers. Drawing inspiration from Excel’s 750…

    2025-03-25
  55. How AI Breakout Harvey is Transforming Legal Services, with CEO Winston Weinberg
    Training Data

    Harvey CEO Winston Weinberg explains why success in legal AI requires more than just model capabilities—it demands deep process expertise that doesn’t exist online. He shares how Harvey balances…

    2025-03-11
  56. OpenAI’s Deep Research Team on Why Reinforcement Learning is the Future for AI Agents
    Training Data

    OpenAI’s Isa Fulford and Josh Tobin discuss how the company’s newest agent, Deep Research, represents a breakthrough in AI research capabilities by training models end-to-end rather than using…

    2025-02-25
  57. Palo Alto Networks’ Nikesh Arora: AI, Security and the New World Order
    Training Data

    Palo Alto Networks’s CEO Nikesh Arora dispels DeepSeek hype by detailing all of the guardrails enterprises need to have in place to give AI agents “arms and legs.” No matter the model, deploying…

    2025-02-18
  58. MongoDB’s Sahir Azam: Vector Databases and the Data Structure of AI
    Training Data

    MongoDB product leader Sahir Azam explains how vector databases have evolved from semantic search to become the essential memory and state layer for AI applications. He describes his view of how AI…

    2025-02-13
  59. Roblox Studio Head Stef Corazza: Using AI to Empower Creators
    Training Data

    Stef Corazza leads generative AI development at Roblox after previously building Adobe’s 3D and AR platforms. His technical expertise, combined with Roblox’s unique relationship with its users, has…

    2025-02-04
  60. ReflectionAI Founder Ioannis Antonoglou: From AlphaGo to AGI
    Training Data

    Ioannis Antonoglou, founding engineer at DeepMind and co-founder of ReflectionAI, has seen the triumphs of reinforcement learning firsthand. From AlphaGo to AlphaZero and MuZero, Ioannis has built…

    2025-01-28
  61. Kumo’s Hema Raghavan: Turning Graph AI into ROI
    Training Data

    Hema Raghavan is co-founder of Kumo, a company that makes graph neural networks accessible to enterprises by connecting to their relational data stored in Snowflake and Databricks. Hema talks about…

    2025-01-21
  62. Databricks Founder Ion Stoica: Turning Academic Open Source into Startup Success
    Training Data

    Berkeley professor Ion Stoica, co-founder of Databricks and Anyscale, transformed the open source projects Spark and Ray into successful AI infrastructure companies. He talks about what mattered most…

    2025-01-14
  63. XBOW CEO and GitHub Copilot Creator Oege de Moor: Cracking the Code on Offensive Security With AI
    Training Data

    Oege de Moor, the creator of GitHub Copilot, discusses how XBOW’s AI offensive security system matches and even outperforms top human penetration testers, completing security assessments in minutes…

    2024-12-10
  64. Ramp CEO Eric Glyman: Using AI to Build “Self-Driving Money”
    Training Data

    When ChatGPT ushered in a new paradigm of AI in everyday use, many companies attempted to adapt to the new paradigm by rushing to add chat interfaces to their products. Eric has a different take—he…

    2024-12-03
  65. Decart’s Dean Leitersdorf on AI-Generated Video Games and Worlds
    Training Data

    Can GenAI allow us to connect our imagination to what we see on our screens? Decart’s Dean Leitersdorf believes it can. In this episode, Dean Leitersdorf breaks down how Decart is pushing the…

    2024-11-13
  66. How Glean CEO Arvind Jain Solved the Enterprise Search Problem – and What It Means for AI at Work
    Training Data

    Years before co-founding Glean, Arvind was an early Google employee who helped design the search algorithm. Today, Glean is building search and work assistants inside the enterprise, which is…

    2024-10-29
  67. OpenAI Researcher Dan Roberts on What Physics Can Teach Us About AI
    Training Data

    In recent years there’s been an influx of theoretical physicists into the leading AI labs. Do they have unique capabilities suited to studying large models or is it just herd behavior? To find out,…

    2024-10-22
  68. Google NotebookLM’s Raiza Martin and Jason Spielman on Creating Delightful AI Podcast Hosts and the Potential for Source-Grounded AI
    Training Data

    NotebookLM from Google Labs has become the breakout viral AI product of the year. The feature that catapulted it to viral fame is Audio Overview, which generates eerily realistic two-host podcast…

    2024-10-15
  69. Snowflake CEO Sridhar Ramaswamy on Using Data to Create Simple, Reliable AI for Businesses
    Training Data

    All of us as consumers have felt the magic of ChatGPT—but also the occasional errors and hallucinations that make off-the-shelf language models problematic for business use cases with no tolerance…

    2024-10-08
  70. OpenAI's Noam Brown, Ilge Akkaya and Hunter Lightman on o1 and Teaching LLMs to Reason Better
    Training Data

    Combining LLMs with AlphaGo-style deep reinforcement learning has been a holy grail for many leading AI labs, and with o1 (aka Strawberry) we are seeing the most general merging of the two modes to…

    2024-10-02
  71. Why Vlad Tenev and Tudor Achim of Harmonic Think AI Is About to Change Math—and Why It Matters
    Training Data

    Adding code to LLM training data is a known method of improving a model’s reasoning skills. But wouldn’t math, the basis of all reasoning, be even better? Up until recently, there just wasn’t enough…

    2024-09-24
  72. Jim Fan on Nvidia’s Embodied AI Lab and Jensen Huang’s Prediction that All Robots will be Autonomous
    Training Data

    AI researcher Jim Fan has had a charmed career. He was OpenAI’s first intern before he did his PhD at Stanford with “godmother of AI,” Fei-Fei Li. He graduated into a research scientist position at…

    2024-09-17
  73. Founder Eric Steinberger on Magic’s Counterintuitive Approach to Pursuing AGI
    Training Data

    There’s a new archetype in Silicon Valley, the AI researcher turned founder. Instead of tinkering in a garage they write papers that earn them the right to collaborate with cutting-edge labs until…

    2024-09-10
  74. Phaidra’s Jim Gao on Building the Fourth Industrial Revolution with Reinforcement Learning
    Training Data

    After AlphaGo beat Lee Sedol, a young mechanical engineer at Google thought of another game reinforcement learning could win: energy optimization at data centers. Jim Gao convinced his bosses at the…

    2024-08-20
  75. Fireworks Founder Lin Qiao on How Fast Inference and Small Models Will Benefit Businesses
    Training Data

    In the first wave of the generative AI revolution, startups and enterprises built on top of the best closed-source models available, mostly from OpenAI. The AI customer journey moves from training to…

    2024-08-13
  76. GitHub CEO Thomas Dohmke on Building Copilot, and the the Future of Software Development
    Training Data

    GithHub invented collaborative coding and in the process changed how open source projects, startups and eventually enterprises write code. GitHub Copilot is the first blockbuster product built on top…

    2024-08-06
  77. Meta’s Joe Spisak on Llama 3.1 405B and the Democratization of Frontier Models
    Training Data

    As head of Product Management for Generative AI at Meta, Joe Spisak leads the team behind Llama, which just released the new 3.1 405B model. We spoke with Joe just two days after the model’s release…

    2024-07-30
  78. Klarna CEO Sebastian Siemiatkowski on Getting AI to Do the Work of 700 Customer Service Reps
    Training Data

    In February, Sebastian Siemiatkowski boldly announced that Klarna’s new OpenAI-powered assistant handled two thirds of the Swedish fintech’s customer service chats in its first month. Not only were…

    2024-07-23
  79. Introducing "Training Data," a new podcast from Sequoia about the future of A.I.
    Crucible Moments

    Crucible Moments will be back shortly with season 2. You’ll hear from the founders of YouTube, DoorDash, Reddit, and more. In the meantime, we’d love to introduce you to a new original podcast,…

    2024-07-11
  80. Factory’s Matan Grinberg and Eno Reyes Unleash the Droids on Software Development
    Training Data

    Archimedes said that with a large enough lever, you can move the world. For decades, software engineering has been that lever. And now, AI is compounding that lever. How will we use AI to apply 100…

    2024-06-25
  81. LangChain’s Harrison Chase on Building the Orchestration Layer for AI Agents
    Training Data

    Last year, AutoGPT and Baby AGI captured our imaginations—agents quickly became the buzzword of the day…and then things went quiet. AutoGPT and Baby AGI may have marked a peak in the hype cycle, but…

    2024-06-18
  82. Introducing "Training Data"
    Training Data

    Join us as we train our neural nets on the theme of the century: AI. Sequoia Capital partners Sonya Huang and Pat Grady host conversations with leading AI builders and researchers to ask critical…

    2024-06-05
  83. ASML Data Stolen and Elon Musk Not Leaving Twitter Just Yet
    Bloomberg Tech

    Bloomberg's Caroline Hyde and Ed Ludlow break down the latest in the world of chip industry espionage, with ASML saying a China-based former employee stole data from the company. Plus, Elon Musk…

    2023-02-15
  84. Sequoia Capital’s Pat Grady and Sonya Huang on Generative AI - Ep. 187
    NVIDIA AI Podcast

    In the latest episode of the NVIDIA AI Podcast, host Noah Kravitz is joined by Pat Grady and Sonya Huang, partners at Sequoia Capital, to discuss their recent essay, “Generative AI: A Creative New…

    2023-01-18