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In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.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

Research · 16.5% · Sep 7–13, 2026 · Gaining attention in the latest report

Research

New models, training methods, benchmarks, and discoveries from AI labs.

Sep 7–13, 2026

16.5%Losing attentionDown 0.5 percentage points from last week

Choose a week to read the discussion.— Below threshold

Research, 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

Research · Sep 7–13, 2026

A closer read

What changed
Its share fell from 17% to 16.5%, with evidence across 12 podcasts.
Where it showed up
It appeared in episodes including “AI:AM Highlights: Astra as AGI, OpenAI's Pause, Mythos @ Mozilla & Human Agency vs Technocapitalism” and “How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes”.
How to read it
6 cited episodes from 6 podcasts are shown below. The topic appeared across 12 podcasts in the full analysis.

Podcast moments from the week

11 quoted moments · 6 episodes · 6 podcasts

The Cognitive Revolution

AI:AM Highlights: Astra as AGI, OpenAI's Pause, Mythos @ Mozilla & Human Agency vs Technocapitalism

Open episode ↗
  1. B
    “You know, one of the people online, Ethan Mollick, who's a professor, um, who tests a lot of models, he, uh, posted the meter, the famous meter hours, you know, hours of work chart. There hasn't been an update for a while now. You know, I think it's—”
    Open episode and seek to 05:27

    ConceptResearch

    Report this moment
  2. A
    “In Tuesday's closing, I read OpenAI's announcement about an internal model it described as significantly more capable than Astra. The announcement concerned a proposed Navier-Stokes proof with a smooth external force. The unforced problem remained separate.”
    Open episode and seek to 26:43

    ConceptResearch

    Report this moment

Machine Learning Street Talk

How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes

Open episode ↗
  1. A
    “it's not very good at training agents to come up with their own goals, to ask questions rather than answer them.”
    Open episode and seek to 46:58

    ConceptResearch

    Report this moment
  2. A
    “base model can do the thing that harness could do.”
    Open episode and seek to 1:40:46

    ConceptResearch

    Report this moment
  3. A
    “one of the areas that we're very excited to look at next is how could you use harnesses at training time to boost the performance within a rollout of the agent, and then distill that back into the weights so that you get the best of both worlds”
    Open episode and seek to 1:42:38

    ConceptResearch

    Report this moment

The TWIML AI Podcast

Do AI Tokenomics Matter More Than Model Benchmarks? with Chris Potts - #776

Open episode ↗
  1. B
    “maybe we could get massively more capable models with half the depth and a quarter of the representational width. And that would be transformative for the economics of AI”
    Open episode and seek to 12:29

    ConceptResearch

    Report this moment
  2. A
    “Why do you think they say that? Why do you think they say that they don't understand the models? There's got to be some payback there.”
    Open episode and seek to 17:08

    ConceptResearch

    Report this moment
  3. A
    “In thinking about the notion of value, is this something that you're anticipating? Like it strikes me that that's an entire research thread that you know, one could go into, I don't know if that's a linguistics or a linguist or an economist or a computer scientist, you know, p...”
    Open episode and seek to 39:27

    ConceptResearch

    Report this moment

AI For Humans

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

Play episode ↗
  1. A
    “The rumor mill started to explode, and word leaked that Anthropic, because that's where one of the researchers worked, uh had solved a major open problem. Well, then OpenAI— this is according to one of the mathematicians that was behind this— OpenAI claimed that one of their i...”
    Play from 23:27

    ConceptResearch

    Report this moment
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