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In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.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 · 1.6% · Sep 14–20, 2026 · About the same in the latest report

Open Models

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

Sep 14–20, 2026

1.6%About the sameDown 1 percentage point 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 · Sep 14–20, 2026

A closer read

What changed
Its share fell from 2.6% to 1.6%, with evidence across 10 podcasts.
Where it showed up
It appeared in episodes including “Instinct & Meta Muse Are AI Agents That Can Run Your Life. We Let One Try.” and “It's All About That Pace”.
How to read it
6 cited episodes from 6 podcasts are shown below. The topic appeared across 10 podcasts in the full analysis.

Podcast moments from the week

11 quoted moments · 6 episodes · 6 podcasts

AI For Humans

Instinct & Meta Muse Are AI Agents That Can Run Your Life. We Let One Try.

Play episode ↗
  1. A
    “I do think there's a part of this that might be trying to get regulation to stop or ban open source um as a movement, which is very, very concerning to me as well. But it's, it's all concerning for multiple reasons. It is odd, though, that there— it seems to be that there's a—...”
    Play from 25:30

    ConceptOpen Models

    Report this moment
  2. B
    “I can guarantee you what will come out are models that are cheaper and faster”
    Play from 40:46

    ConceptOpen Models

    Report this moment
  3. B
    “even if the frontier models said, hey, we have to wait for a bit before we move on to superintelligence, that all this stuff's gonna keep coming out”
    Play from 41:12

    ConceptOpen Models

    Report this moment

Latent Space

Underwriting Superintelligence: Backing Agents you can Sue — Rune Kvist, AIUC

Open episode ↗
  1. A
    “Just a side mention, because you mentioned Chinese models, any specific concerns that you're hearing from your CISOs about that? Uh Because I guess it's free, but—”
    Open episode and seek to 31:55

    ConceptOpen Models

    Report this moment
  2. B
    “CISOs have a bunch of concerns around data flows in general that they're really concerned about. So there's a lot of questions like, uh if these models are Chinese, where does our data go? I think a lot of this can be addressed, but they come up often.”
    Open episode and seek to 32:05

    ConceptOpen Models

    Report this moment
  3. B
    “running a Chinese open-source model is just the best solution”
    Open episode and seek to 33:18

    ConceptOpen Models

    Report this moment

Training Data

Box's Aaron Levie: On Reinventing Yourself in the AI Age and Enterprise Diffusion

Play episode ↗
  1. A
    “Over time, I think it stands to reason that you'll see meaningful different costs because you'll be able to peel off workloads that just only make sense at grinding down to the cost of inference, in which case open weights will have this sort of economic advantage.”
    Play from 29:54

    ConceptOpen Models

    Report this moment
  2. A
    “what's gonna happen is each use case that kind of matures, you can peel off to open source.”
    Play from 30:52

    ConceptOpen Models

    Report this moment

The Artificial Intelligence Show

#239: Labs Agree to Pace AI, OpenAI’s Math Breakthrough, AI Jobs Apocalypse Postponed & Jensen Declares AGI

Play episode ↗
  1. A
    “I'm trying so, so hard to understand the argument for why open weights are essential to society”
    Play from 1:20:32

    ConceptOpen Models

    Report this moment
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