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In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.

11 topics shown · 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.

Open Models · 5.4% · Aug 3–9, 2026 · About the same in the latest report

Open Models

AI models whose weights or code are available for others to use and adapt.

Aug 3–9, 2026

5.4%About the sameDown 1.3 percentage points from last week

Choose a week to read the discussion.— Below threshold

Open Models, 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

Open Models · Aug 3–9, 2026

A closer read

What changed
Its share fell from 6.7% to 5.4%, with evidence across 9 podcasts.
Where it showed up
It appeared in episodes including “Thinking in Silico: Goodfire CTO Dan Balsam on Concept Manifolds & a $1000/Month ML Research Agent” and “Seedance 2.5 & The New Age of AI Video (w/ Theoretically Media)”.
How to read it
6 cited episodes from 5 podcasts are shown below. The topic appeared across 9 podcasts in the full analysis.

Podcast moments from the week

9 quoted moments · 6 episodes · 5 podcasts

The Cognitive Revolution

Thinking in Silico: Goodfire CTO Dan Balsam on Concept Manifolds & a $1000/Month ML Research Agent

Open episode ↗
  1. A
    “there's not too many open weights models that you can hack on that have the intensity of RL that is going on at the frontier labs”
    Open episode and seek to 10:27

    ConceptOpen Models

    Report this moment
  2. C
    “To be clear, my feelings on open source are like very nuanced. Like the reality is that we do have cyber weapons, like in the world now, like, like we have models that are so powerful that they are weapons and unwieldy ones at that, it turns out.”
    Open episode and seek to 1:20:34

    ConceptOpen Models

    Report this moment
  3. C
    “I think I'm still in, we're still in the era where I think open source is like purely net positive.”
    Open episode and seek to 1:22:15

    ConceptOpen Models

    Report this moment

Practical AI

Models, Harnesses, and Multi-Agent Systems

Open episode ↗
  1. C
    “Yep. And so, and that's, and it's interesting that we're in a moment where if you're wanting to run a fairly sophisticated model on your own, you know, on your own server, you're probably most likely going to a Chinese model these days. They're the best. They're the best right...”
    Open episode and seek to 09:44

    ConceptOpen Models

    Report this moment

The Cognitive Revolution

Pick Your Poison: Zvi Mowshowitz on the Unipolar/Multipolar AGI Dilemma, OpenFace & Pacing the ...

Open episode ↗
  1. B
    “even if they work, you need everybody who is releasing one of these models to use the technique properly, voluntarily, at this point.”
    Open episode and seek to 2:31:43

    ConceptOpen Models

    Report this moment

AI Inside

What Happens When AI Outsmarts Mathematicians

Play episode ↗
  1. C
    “From NVIDIA. Yeah, I just said that. So I'm announcing his news here first. Sorry, Leo. Um, yeah, but because he believes strongly in, in local models, local Because of control, because of a lack of—”
    Play from 34:03

    ConceptOpen Models

    Report this moment
  2. C
    “I think you can have, have the saddle go to the most powerful models that are too big for you to run locally, only for the tasks that they can't do.”
    Play from 34:36

    ConceptOpen Models

    Report this moment

The AI Native Dev

Datadog Deleted All Its AI Context. It Worked.

Play episode ↗
  1. C
    “To clarify for those who don't know, that Pi is the kind of very highly customizable custom harness. It's open source, but then you can customize, on top of which OpenCLAW is built.”
    Play from 37:26

    ConceptOpen Models

    Report this moment
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