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In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.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 · 19.1% · Sep 21–27, 2026 · Gaining attention in the latest report

Research

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

Sep 21–27, 2026

19.1%About the sameDown 3 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 21–27, 2026

A closer read

What changed
Its share fell from 22.1% to 19.1%, with evidence across 10 podcasts.
Where it showed up
It appeared in episodes including “AI:AM: What If It Works Too Well? Colluding Agents, $200M Safety Orgs, Virtual Cells Saturate at 2%” and “When AI Research Starts Moving Faster Than Human Research - Zhengyao Jiang”.
How to read it
6 cited episodes from 5 podcasts are shown below. The topic appeared across 10 podcasts in the full analysis.

Podcast moments from the week

13 quoted moments · 6 episodes · 5 podcasts

The Cognitive Revolution

AI:AM: What If It Works Too Well? Colluding Agents, $200M Safety Orgs, Virtual Cells Saturate at 2%

Open episode ↗
  1. G
    “The challenge of this argument that it's just like this, just a, uh, uh, uh size of dataset thing, is that currently even the state-of-the-art virtual cell models that exist saturate at a very, very small uh fraction of the input data that is fed to them.”
    Open episode and seek to 02:06

    ConceptResearch

    Report this moment
  2. G
    “even the state-of-the-art virtual cell models that exist saturate at a very, very small fraction uh of the input data that is fed to them”
    Open episode and seek to 1:25:28

    ConceptResearch

    Report this moment
  3. A
    “Prakash also made the case for specialists. A model like AlphaFold does its one job better than any generalist. He expects that to hold. And the version of superintelligence people fear is a single model that does every job better than the specialists and depends on no one. My...”
    Open episode and seek to 1:39:40

    ConceptResearch

    Report this moment

Machine Learning Street Talk

When AI Research Starts Moving Faster Than Human Research - Zhengyao Jiang

Open episode ↗
  1. E
    “It managed to discover a better auto-research bonus. Then we keep tuning in the last 2 years.”
    Open episode and seek to 01:57

    ConceptResearch

    Report this moment
  2. E
    “improving the efficiency of self-referential research is definitely already on the roadmap.”
    Open episode and seek to 04:25

    ConceptResearch

    Report this moment
  3. D
    “There's an interesting thing we observe on self-evolved uh auto-research harness. We see the code it generated.”
    Open episode and seek to 05:13

    ConceptResearch

    Report this moment

The Cognitive Revolution

Zero to One in AI Safety: Halcyon's Mike McCormick on Launching 30 New Orgs & the Founder Bottleneck

Open episode ↗
  1. A
    “The other thing that is borderline haunting to me, I just did an episode not too long with Bronson Shane from Apollo, and reading through some of these chain-of-thought sequences, when the models are referring to memories that they have developed from their training, that also...”
    Open episode and seek to 1:12:47

    ConceptResearch

    Report this moment

Latent Space

Runway’s WorldPrompt and the Engineering of Real-Time Worlds

Open episode ↗
  1. C
    “Oddly enough, I think early image-video models weren't good at being human-realistic, right? You see a lot of the high-res 4K professional photography, but not just everyday life, like normal picture, right? Everything looks like it's professionally generated, like professiona...”
    Open episode and seek to 1:10:52

    ConceptResearch

    Report this moment
  2. C
    “I think the delta is also huge. I learned pics to pics, like this was intro to ML, the TensorFlow, like Jupyter, Google Colab notebooks were like this, and then you have a sudden step function change with diffusion and whatnot. Any other ones since that, like there were clear ...”
    Open episode and seek to 07:02

    ConceptResearch

    Report this moment
  3. B
    “we really believe that if we trained a video model at a large scale, uh we would get a great model at the end”
    Open episode and seek to 08:20

    ConceptResearch

    Report this moment

AI For Humans

Opus 5.5 is our favorite AI model (so far).

Play episode ↗
  1. B
    “I am shocked today by what we are seeing. And what's funny to me is these are not state-of-the-art models. We are not getting— I should say, we have got 2 brand new models this week. We got Opus 5.5. We got GPT-6 Sol and 6 Luna. We are going to get into what those mean. But th...”
    Play from 01:58

    ConceptResearch

    Report this moment
  2. B
    “Again, amazing models out of OpenAI. These are really cool.”
    Play from 26:47

    ConceptResearch

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Last Week in AI

#257 - GPT 6 Astra, AI Extinction, Security Incidents

Play episode ↗
  1. B
    “Astra is overall the kind of more useful model for at least the coding workflow type stuff”
    Play from 14:23

    ConceptResearch

    Report this moment
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