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In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.

3 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.

Open Models · 2.6% · Sep 7–13, 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 7–13, 2026

2.6%About the sameUp 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 · Sep 7–13, 2026

A closer read

What changed
Its share rose from 1.3% to 2.6%, with evidence across 6 podcasts.
Where it showed up
It appeared in episodes including “GPT-6 Astra Does Everything. Here's What It's Actually Good At.” and “#256 - Fable 5.1, Astra Tease, Gemini 3.8 Flash”.
How to read it
2 cited episodes from 2 podcasts are shown below. The topic appeared across 6 podcasts in the full analysis.

Podcast moments from the week

4 quoted moments · 2 episodes · 2 podcasts

AI For Humans

GPT-6 Astra Does Everything. Here's What It's Actually Good At.

Play episode ↗
  1. A
    “Well, speaking of, um, this is a bit of a ah distraction, but um Playtime AI over on Hugging Face, I don't I'm not quite sure how the account is still active right now, uh but I went and scraped all of their models. They've got a bunch of LoRAs for— uh these are uh adapters, i...”
    Play from 38:05

    ConceptOpen Models

    Report this moment

Last Week in AI

#256 - Fable 5.1, Astra Tease, Gemini 3.8 Flash

Play episode ↗
  1. A
    “They were able to distill the big models into smaller models. But they did also open source these um and gave us a lot of technical details.”
    Play from 35:12

    ConceptOpen Models

    Report this moment
  2. C
    “Which we also talked about, I think even a couple of times. These are, you know, these are pretty like in the weeds things and they're popping up all, all over the place now in the Chinese ecosystem. This, I think, is like uh an interesting and for me, I'll say embarrassingly ...”
    Play from 35:58

    ConceptOpen Models

    Report this moment
  3. B
    “Still, I think it's an interesting artifact of this open sourcing that you do see such convergence across now. Like, I mean, it's like 2 or 3 entities that are very significant in China.”
    Play from 37:28

    ConceptOpen Models

    Report this moment
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