Heavybit Podcasts

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Every Heavybit podcast in one feed: conversations with technical founders, engineers and operators about building AI and enterprise infrastructure companies, from the bottom up to the top down.

  1. 23h ago

    Ep. #6, Why AI Needs to Argue with Itself with James Evans

    On episode 6 of Lab Notes, Amir Zohrenejad speaks with James Evans about the surprising finding that reasoning models simulate a society rather than a single brain. They dig into sycophancy and why users trust AI less but perform better when it has a point of view, the Computational Life experiments that evolved self-replicating programs from a primordial soup of code, and James’s argument that diverse novel ideas are about to become the scarcest resource on the planet.

  2. 23h ago

    Ep. #45, When Agents Outrun Human Review with Dotta of Paperclip

    On episode 45 of Open Source Ready, Brian Douglas and John McBride speak with Dotta about Paperclip, an open-source platform for managing teams of AI agents. They explore what happens when agents produce more work than humans can review, why permissions need to extend beyond a separate computer, and how engineering judgment changes when writing code becomes easier.

  3. Oct 15

    Ep. #13, Ten Times Faster at What? with Jennifer Riggins

    On episode 13 of Third Loop, the Progressive Delivery team speaks with Jennifer Riggins about why faster code doesn’t automatically mean better software. They explore how AI exposes organizational bottlenecks, why psychological safety matters, and what Spotify’s growing feature set reveals about user value. Jennifer makes the case for smaller experiments, stronger feedback loops, and keeping people at the center of delivery.

  4. Oct 14

    Ep. #60, The Killer App for AI with Vasanth Mohan

    On episode 60 of Generationship, Rachel Chalmers speaks with Vasanth Mohan of SambaNova about when faster AI agents actually mean better work. They explore why token consumption and code volume are poor substitutes for business value, how inference latency interrupts productive workflows, and why engineering taste still matters. Sometimes the most valuable thing an engineer can produce is less code.

  5. Oct 8

    Ep. #44, Beyond the Model: Observing AI Agents with Mikyo King

    On episode 44 of Open Source Ready, Brian Douglas and John McBride sit down with Mikyo King to explore why an agent can fail even when its model gets things right. They discuss observing the full agent workflow, using evaluations to uncover unexpected behavior, and testing whether skills actually improve results. Along the way, Mikyo shares how Arize approaches open source collaboration as coding agents reshape the contribution process.

  6. Sep 22

    Ep. #12, Shipping at the Speed of Understanding with Steph Hippo

    On episode 12 of Third Loop, the Progressive Delivery team speaks with Steph Hippo, Platform Engineering Director at Honeycomb, about what happens when AI accelerates development beyond the pace humans can absorb. They explore safe defaults, evolving code reviews, and the feedback loops that help teams understand what they ship. Steph makes the case for reinvesting saved time in better decisions, software quality, and human connection.

  7. Sep 17

    Ep. #59, Containers Should Actually Contain with Emily Long and Alex Zenla

    On episode 59 of Generationship, Rachel Chalmers speaks with Emily Long and Alex Zenla, co-founders of Edera, about rethinking the foundations of cloud and AI security. They explain how an IoT side project became an approach to workload isolation built around Xen and Rust, and why AI agents are making stronger security boundaries increasingly urgent. Along the way, they discuss complementary leadership skills, fundraising lessons, and the value of questioning the industry’s technical assumptions.

  8. Sep 2

    Ep. #5, The Voice AI Turing Test with Aoden Teo

    In episode 5 of Lab Notes, Amir Zohrenejad speaks with Aoden Teo, co-founder and CEO of Miso Labs, about what it will take for voice AI to become truly humanlike. They explore the limitations of today's speech-to-text and text-to-speech pipelines, the promise of full-duplex speech models, and the technical challenges around audio tokenization, turn-taking, emotion, reasoning, and real-time inference.

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About

Every Heavybit podcast in one feed: conversations with technical founders, engineers and operators about building AI and enterprise infrastructure companies, from the bottom up to the top down.

Information

  • Creator
    Heavybit
  • Years Active
    2016 - 2026
  • Episodes
    300
  • Rating
    Explicit
  • Copyright
    © Heavybit
  • Show Website
    Heavybit Podcasts

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