← 返回
Gradient Dissent: Conversations on AI

Gradient Dissent: Conversations on AI

AI
更新于 2026-05-15 01:28 共 100 条
  1. 1 Uber, Nissan, and Mercedes Chose This Self-Driving Startup | Alex Kendall, Wayve
  2. 2 Why Netflix, Uber, and Spotify Never Lag: The Database Nobody Talks About | Aaron Katz
  3. 3 The $64M Bet on an AI That Has to Be Right | Carina Hong, CEO of Axiom
  4. 4 What a $42B Software Co. Really Spends on AI Tools
  5. 5 Inside the $41B AI Cloud Challenging Big Tech | CoreWeave SVP
  6. 6 Why Physical AI Needed a Completely New Data Stack
  7. 7 The Engineering Behind the World’s Most Advanced Video AI
  8. 8 The CEO Behind the Fastest-Growing AI Inference Company | Tuhin Srivastava
  9. 9 The Startup Powering The Data Behind AGI
  10. 10 Arvind Jain on Building Glean and the Future of Enterprise AI
  11. 11 How DeepL Built a Translation Powerhouse with AI with CEO Jarek Kutylowski
  12. 12 GitHub CEO Thomas Dohmke on Copilot and the Future of Software Development
  13. 13 From Pharma to AGI Hype, and Developing AI in Finance: Martin Shkreli’s Journey
  14. 14 Inside Cursor: The future of AI coding with Co-founder Sualeh Asif
  15. 15 Inside the Dark Web, AI and Cybersecurity with Christopher Ahlberg CEO of Recorded Future
  16. 16 AI, autonomy, and the future of naval warfare with Captain Jon Haase, United States Navy
  17. 17 The rise of AI agents
  18. 18 R1, OpenAI’s o3, and the ARC-AGI Benchmark: Insights from Mike Knoop
  19. 19 DeepSeek, Stargate and AI's $600 Billion Question with Sequoia's David Cahn
  20. 20 Building the future of collaborative AI development with Akshay Agrawal
  21. 21 Evaluating LLMs with Chatbot Arena and Joseph E. Gonzalez
  22. 22 AI’s breakthrough in weather forecasting with Brightband’s Julian Green
  23. 23 What’s the path to AGI? A conversation with Turing Co-founder and CEO Jonathan Siddharth
  24. 24 Vercel’s CEO & Founder Guillermo Rauch on the impact of AI on Web Development and Front End Engineering
  25. 25 Snowflake’s CEO Sridhar Ramaswamy on 700+ LLM enterprise use cases
  26. 26 Elevating ML Infrastructure with Modal Labs CEO Erik Bernhardsson
  27. 27 From No-Code to AI-Powered Apps with Airtable’s Howie Liu
  28. 28 Launching the Fastest AI Inference Solution with Cerebras Systems CEO Andrew Feldman
  29. 29 Reinventing AI Agents with Imbue CEO Kanjun Qiu
  30. 30 From startup to $1.2B with Lambda’s Stephen Balaban
  31. 31 Harnessing AI for legal practice with CoCounsel’s Jake Heller
  32. 32 Transforming Search with Perplexity AI’s CTO Denis Yarats
  33. 33 AI in electronics: Quilter’s journey in PCB design
  34. 34 The Future of AI in Coding with Codeium CEO Varun Mohan
  35. 35 Shaping AI Benchmarks with Together AI Co-Founder Percy Liang
  36. 36 Accelerating drug discovery with AI: Insights from Isomorphic Labs
  37. 37 Redefining AI Hardware for Enterprise with SambaNova’s Rodrigo Liang
  38. 38 Navigating the Vector Database Landscape with Pinecone's Edo Liberty
  39. 39 Transforming Data into Business Solutions with Salesforce AI CEO, Clara Shih
  40. 40 Upgrading Your Health: Navigating AI's Future In Healthcare with John Halamka of Mayo Clinic Platform
  41. 41 Shaping the World of Robotics with Chelsea Finn
  42. 42 The Power of AI in Search with You.com's Richard Socher
  43. 43 AI’s Future: Investment & Impact with Sarah Guo and Elad Gil
  44. 44 Revolutionizing AI Data Management with Jerry Liu, CEO of LlamaIndex
  45. 45 Bridging AI and Science: The Impact of Machine Learning on Material Innovation with Joe Spisak of Meta
  46. 46 Unlocking the Power of Language Models in Enterprise: A Deep Dive with Chris Van Pelt
  47. 47 Providing Greater Access to LLMs with Brandon Duderstadt, Co-Founder and CEO of Nomic AI
  48. 48 Exploring PyTorch and Open-Source Communities with Soumith Chintala, VP/Fellow of Meta, Co-Creator of PyTorch
  49. 49 Advanced AI Accelerators and Processors with Andrew Feldman of Cerebras Systems
  50. 50 Enabling LLM-Powered Applications with Harrison Chase of LangChain
  51. 51 Deploying Autonomous Mobile Robots with Jean Marc Alkazzi at idealworks
  52. 52 How EleutherAI Trains and Releases LLMs: Interview with Stella Biderman
  53. 53 Scaling LLMs and Accelerating Adoption with Aidan Gomez at Cohere
  54. 54 Neural Network Pruning and Training with Jonathan Frankle at MosaicML
  55. 55 Jasper AI's Dave Rogenmoser & Saad Ansari on Growing & Maintaining an LLM-Based Company
  56. 56 Shreya Shankar — Operationalizing Machine Learning
  57. 57 Sarah Catanzaro — Remembering the Lessons of the Last AI Renaissance
  58. 58 Cristóbal Valenzuela — The Next Generation of Content Creation and AI
  59. 59 Jeremy Howard — The Simple but Profound Insight Behind Diffusion
  60. 60 Jerome Pesenti — Large Language Models, PyTorch, and Meta
  61. 61 D. Sculley — Technical Debt, Trade-offs, and Kaggle
  62. 62 Emad Mostaque — Stable Diffusion, Stability AI, and What’s Next
  63. 63 Jehan Wickramasuriya — AI in High-Stress Scenarios
  64. 64 Will Falcon — Making Lightning the Apple of ML
  65. 65 Aaron Colak — ML and NLP in Experience Management
  66. 66 Jordan Fisher — Skipping the Line with Autonomous Checkout
  67. 67 Drago Anguelov — Robustness, Safety, and Scalability at Waymo
  68. 68 James Cham — Investing in the Intersection of Business and Technology
  69. 69 Boris Dayma — The Story Behind DALL·E mini, the Viral Phenomenon
  70. 70 Tristan Handy — The Work Behind the Data Work
  71. 71 Johannes Otterbach — Unlocking ML for Traditional Companies
  72. 72 Mircea Neagovici — Robotic Process Automation (RPA) and ML
  73. 73 Jensen Huang — NVIDIA’s CEO on the Next Generation of AI and MLOps
  74. 74 Peter & Boris — Fine-tuning OpenAI's GPT-3
  75. 75 Ion Stoica — Spark, Ray, and Enterprise Open Source
  76. 76 Stephan Fabel — Efficient Supercomputing with NVIDIA's Base Command Platform
  77. 77 Chris Padwick — Smart Machines for More Sustainable Farming
  78. 78 Kathryn Hume — Financial Models, ML, and 17th-Century Philosophy
  79. 79 Sean & Greg — Biology and ML for Drug Discovery
  80. 80 Chris, Shawn, and Lukas — The Weights & Biases Journey
  81. 81 Pete Warden — Practical Applications of TinyML
  82. 82 Pieter Abbeel — Robotics, Startups, and Robotics Startups
  83. 83 Chris Albon — ML Models and Infrastructure at Wikimedia
  84. 84 Emily M. Bender — Language Models and Linguistics
  85. 85 Jeff Hammerbacher — From data science to biomedicine
  86. 86 Josh Bloom — The Link Between Astronomy and ML
  87. 87 Xavier Amatriain — Building AI-powered Primary Care
  88. 88 Spence Green — Enterprise-scale Machine Translation
  89. 89 Roger & DJ — The Rise of Big Data and CA's COVID-19 Response
  90. 90 Amelia & Filip — How Pandora Deploys ML Models into Production
  91. 91 Luis Ceze — Accelerating Machine Learning Systems
  92. 92 Matthew Davis — Bringing Genetic Insights to Everyone
  93. 93 Clément Delangue — The Power of the Open Source Community
  94. 94 Wojciech Zaremba — What Could Make AI Conscious?
  95. 95 Phil Brown — How IPUs are Advancing Machine Intelligence
  96. 96 Alyssa Simpson Rochwerger — Responsible ML in the Real World
  97. 97 Sean Taylor — Business Decision Problems
  98. 98 Polly Fordyce — Microfluidic Platforms and Machine Learning
  99. 99 Adrien Gaidon — Advancing ML Research in Autonomous Vehicles
  100. 100 Nimrod Shabtay — Deployment and Monitoring at Nanit