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Gradient Dissent: Conversations on AI

Join Lukas Biewald on Gradient Dissent, an AI-focused podcast brought to you by Weights & Biases. Dive into fascinating conversations with industry giants from NVIDIA, Meta, Google, Lyft, OpenAI, and more. Explore the cutting-edge of AI and learn the intricacies of bringing models into production.

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Every guest on Gradient Dissent: Conversations on AI

118 guests, ranked by how many people never want them back.

  1. —
    Daeil Kim

    Daeil Kim — The Unreasonable Effectiveness of Synthetic Data · Oct 2020

    0 votes
  2. —
    Dave Rogenmoser

    Jasper AI's Dave Rogenmoser & Saad Ansari on Growing & Maintaining an LLM-Based Company · Mar 2023

    0 votes
  3. —
    Dominik Moritz

    Dominik Moritz — Building Intuitive Data Visualization Tools · Mar 2021

    0 votes
  4. —
    Jake Heller

    Harnessing AI for legal practice with CoCounsel’s Jake Heller · Jul 2024

    0 votes
  5. —
    Jarek Kutylowski

    How DeepL Built a Translation Powerhouse with AI with CEO Jarek Kutylowski · Jul 2025

    0 votes
  6. —
    Jean Marc Alkazzi

    Deploying Autonomous Mobile Robots with Jean Marc Alkazzi at idealworks · May 2023

    0 votes
  7. —
    Jeff Hammerbacher

    Jeff Hammerbacher — From data science to biomedicine · Aug 2021

    0 votes
  8. —
    Jehan Wickramasuriya

    Jehan Wickramasuriya — AI in High-Stress Scenarios · Oct 2022

    0 votes
  9. —
    Jerome Pesenti

    Jerome Pesenti — Large Language Models, PyTorch, and Meta · Dec 2022

    0 votes
  10. —
    Joaquin Candela

    Joaquin Candela — Definitions of Fairness · Oct 2020

    0 votes
  11. —
    Johannes Otterbach

    Johannes Otterbach — Unlocking ML for Traditional Companies · May 2022

    0 votes
  12. —
    Julian Green

    AI’s breakthrough in weather forecasting with Brightband’s Julian Green · Nov 2024

    0 votes
  13. —
    Luis Ceze

    Luis Ceze — Accelerating Machine Learning Systems · Jun 2021

    0 votes
  14. —
    Mircea Neagovici

    Mircea Neagovici — Robotic Process Automation (RPA) and ML · Apr 2022

    0 votes
  15. —
    Nicolas Koumchatzky

    Nicolas Koumchatzky — Machine Learning in Production for Self-Driving Cars · Mar 2020

    0 votes
  16. —
    Nimrod Shabtay

    Nimrod Shabtay — Deployment and Monitoring at Nanit · Apr 2021

    0 votes
  17. —
    Pete Warden

    Pete Warden — Practical Applications of TinyML · Oct 2021

    0 votes
  18. —
    Peter Norvig

    Peter Norvig – Singularity Is in the Eye of the Beholder · Nov 2020

    0 votes
  19. —
    Peter Skomoroch

    Peter Skomoroch — Product Management for AI · Jul 2020

    0 votes
  20. —
    Peter Welinder

    Peter Welinder — Deep Reinforcement Learning and Robotics · Jun 2020

    0 votes
  21. —
    Phil Brown

    Phil Brown — How IPUs are Advancing Machine Intelligence · May 2021

    0 votes
  22. —
    Piero Molino

    Piero Molino — The Secret Behind Building Successful Open Source Projects · Feb 2021

    0 votes
  23. —
    Polly Fordyce

    Polly Fordyce — Microfluidic Platforms and Machine Learning · Apr 2021

    0 votes
  24. —
    Rachael Tatman

    Rachael Tatman — Conversational AI and Linguistics · Apr 2020

    0 votes
  25. —
    Robert Nishihara

    Robert Nishihara — The State of Distributed Computing in ML · Nov 2020

    0 votes
  26. —
    Rodrigo Liang

    Redefining AI Hardware for Enterprise with SambaNova’s Rodrigo Liang · Apr 2024

    0 votes
  27. —
    Rosanne Liu

    Rosanne Liu — Conducting Fundamental ML Research as a Nonprofit · Feb 2021

    0 votes
  28. —
    0 votes
  29. —
    Samuel G. Rodriques

    He Raised $70M to Cure Every Disease With AI | Samuel G. Rodriques, Edison Scientific · May 2026

    0 votes
  30. —
    Sean Gourley

    Sean Gourley — NLP, National Defense, and Establishing Ground Truth · Jan 2021

    0 votes
  31. —
    Spence Green

    Spence Green — Enterprise-scale Machine Translation · Jul 2021

    0 votes
  32. —
    Stella Biderman

    How EleutherAI Trains and Releases LLMs: Interview with Stella Biderman · May 2023

    0 votes
  33. —
    Stephan Fabel

    Stephan Fabel — Efficient Supercomputing with NVIDIA's Base Command Platform · Jan 2022

    0 votes
  34. —
    Stephen Balaban

    From startup to $1.2B with Lambda’s Stephen Balaban · Jul 2024

    0 votes
  35. —
    Sualeh Asif

    Inside Cursor: The future of AI coding with Co-founder Sualeh Asif · Apr 2025

    0 votes
  36. —
    Vicki Boykis

    Vicki Boykis — Machine Learning Across Industries · Jun 2020

    0 votes
  37. —
    Vladlen Koltun

    Vladlen Koltun — The Power of Simulation and Abstraction · Apr 2021

    0 votes
  38. —
    Will Falcon

    Will Falcon — Making Lightning the Apple of ML · Sep 2022

    0 votes

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