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18 AI-focused podcasts currently tracked18 AI podcasts

Currently tracking18 AI-focused podcasts

  • AI For Humans
  • AI Inside
  • AI Today Podcast
  • Eye on AI
  • Gradient Dissent
  • Interconnects
  • Last Week in AI
  • Latent Space
  • Machine Learning Street Talk
  • Me, Myself, and AI
  • No Priors
  • Practical AI
  • The AI Daily Brief
  • The AI Native Dev
  • The Artificial Intelligence Show
  • The Cognitive Revolution
  • The TWIML AI Podcast
  • Training Data

Trends over time

Jul 13–Oct 4, 2026 · 12 published weeks

In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.

6 topics highlighted · Sep 28–Oct 4, 2026

Select a topic or a dated dot to see its history below.

Swipe to follow the full timeline →

Topic attention across published weeksEach colored line uses the same attention scale. Only topics with published measurements are shown; their shares do not necessarily total 100%. Breaks mean missing measurements, not zero. Dated dots open that topic and week below.0%11.3%22.5%33.8%45%Jul 13Jul 20Jul 27Aug 3Aug 10Aug 17Aug 24Aug 31Sep 7Sep 14Sep 21Sep 28Adoption Use Cases: About the same in the latest reportAdoption Use Cases33.4%Research: Gaining attention in the latest reportResearch22.7%Agents: About the same in the latest reportAgents14.5%Safety & governance: Losing attention in the latest reportSafety & governance8.6%Hardware: Gaining attention in the latest reportHardware7.9%Regulation: About the same in the latest reportRegulation3.9%Open Models: About the same in the latest reportOpen Models3.1%Economics: Losing attention in the latest reportEconomics2.5%Infrastructure: About the same in the latest reportInfrastructure1.2%Jobs: About the same in the latest reportJobs1.2%Other: Below threshold in the latest reportOtherNo measurement

Direction compares the latest report with recent weeks; small changes are “About the same,” and gaps mean no measurement.

Safety & governance · 10.7% · Aug 24–30, 2026 · Losing attention in the latest report

Safety & governance

Ways to reduce harm, set limits, test behavior, and govern how AI is used.

Aug 24–30, 2026

10.7%About the sameUnchanged from last week

Choose a week to read the discussion.— Below threshold

Safety & governance, week by weekDated controls show each week's attention share. Gaps mean no qualifying measurement, not zero. Select a week to read its discussion below.0%11.3%22.5%33.8%45%
Show this week’s discussionHide this week’s discussionPodcast moments and context

Safety & governance · Aug 24–30, 2026

A closer read

What changed
Its share rose from 10.7% to 10.7%, with evidence across 9 podcasts.
Where it showed up
It appeared in episodes including “AI:AM Highlights: Recursive Self-Improvement, Rushed and Vibe-Coded?” and “🔬“We have foundation models for language, not for physics” — Anima Anandkumar, Bren Professor of Computing”.
How to read it
4 cited episodes from 3 podcasts are shown below. The topic appeared across 9 podcasts in the full analysis.

Podcast moments from the week

8 quoted moments · 4 episodes · 3 podcasts

The Cognitive Revolution

AI:AM Highlights: Recursive Self-Improvement, Rushed and Vibe-Coded?

Open episode ↗
  1. B
    “do you have a sort of safety case in mind that you're trying to fill out the elements of where we could be confident that we actually could step back from a an ML-powered or an AI-powered ML research process for a bit and not have it go totally sideways on us?”
    Open episode and seek to 22:37

    ConceptSafety & governance

    Report this moment
  2. E
    “I have a question for you. Number one, do we want to slow down AI uh in the US, even if it means slowing down unilaterally? And number 2, if we do, is not data centre opposition for other reasons, any other reason, good enough to kind of maybe slow down AI progress enough for ...”
    Open episode and seek to 2:01:09

    ConceptSafety & governance

    Report this moment

Latent Space

🔬“We have foundation models for language, not for physics” — Anima Anandkumar, Bren Professor of Computing

Open episode ↗
  1. A
    “can then help us not only train neural networks to do well in a control loop, but also worry about safety and robustness, stability.”
    Open episode and seek to 08:09

    ConceptSafety & governance

    Report this moment

The Cognitive Revolution

RL's a Hell of a Drug: Metagaming, Reward Seeking & Motivated CoT Reasoning – Bronson Schoen, Apollo

Open episode ↗
  1. C
    “there are a lot of really complex plans of like how we can do things with respect to alignment, but we're not really getting the simple ones down”
    Open episode and seek to 1:46:59

    ConceptSafety & governance

    Report this moment
  2. C
    “given the stakes and the money and the, the everything involved in it, is like when you ask, okay, who's working on this particular part of alignment that's not going very well? It's, oh, it's 4 people.”
    Open episode and seek to 2:01:59

    ConceptSafety & governance

    Report this moment

Eye on AI

95% of AI Agent Projects Fail to Reach Production. Here's Why | Manoj Saxena, TrustWise

Open episode ↗
  1. A
    “This is to provide runtime governance. I mean, it's monitoring what agents do in real time. Is that right?”
    Open episode and seek to 08:26

    ConceptSafety & governance

    Report this moment
  2. B
    “how do we make sure we are drug testing these properly? How do we make sure that each worker has the right employee handbook? How do we make sure we can do instant performance appraisal? And how do we make sure if they're drifting, is there a kill switch on these things?”
    Open episode and seek to 19:38

    ConceptSafety & governance

    Report this moment
  3. B
    “you could distill those values and you can implement that as one of the core alignment pieces in your AI system.”
    Open episode and seek to 55:39

    ConceptSafety & governance

    Report this moment
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