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In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.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 · 4.8% · Aug 10–16, 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 10–16, 2026

4.8%Losing attentionDown 0.6 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 10–16, 2026

A closer read

What changed
Its share fell from 5.4% to 4.8%, with evidence across 8 podcasts.
Where it showed up
It appeared in episodes including “Lindy Teammate: Flo Crivello on Multiplayer Agents, Memory & Why He'd Ban the Chinese Models He Uses” and “The AI Race Just Moved the Goal Posts”.
How to read it
5 cited episodes from 5 podcasts are shown below. The topic appeared across 8 podcasts in the full analysis.

Podcast moments from the week

12 quoted moments · 5 episodes · 5 podcasts

The Cognitive Revolution

Lindy Teammate: Flo Crivello on Multiplayer Agents, Memory & Why He'd Ban the Chinese Models He Uses

Open episode ↗
  1. B
    “Sonnet 4.6 is a really good level, a really good model for like most use cases. And it's literally 100x cheaper”
    Open episode and seek to 1:20:36

    ConceptOpen Models

    Report this moment
  2. A
    “a model could pass a bunch of tests and you would feel good about it. And then if you'd start to test it live with users, you'd get the feedback that like, hey, like it got dumb”
    Open episode and seek to 1:21:01

    ConceptOpen Models

    Report this moment
  3. A
    “Can we unpack the threat model there though? Because I'm a little bit like, okay, these are, I don't know where you're running your inference, but like most American companies that are running Chinese models are not like calling the DeepSeek API, right? They're using some Amer...”
    Open episode and seek to 1:53:41

    ConceptOpen Models

    Report this moment

AI For Humans

Zuck Wants Superintelligence. Do People Even Want AI?

Play episode ↗
  1. B
    “The cynical viewpoint is that, well, we're sticking with open source because it turns out we couldn't beat the closed-source foundational stuff.”
    Play from 04:39

    ConceptOpen Models

    Report this moment

Last Week in AI

#254 - Rogue AI hacking, bio-weapons, Dean & Hassabis out

Play episode ↗
  1. B
    “I think there's a knockdown argument against the idea that more good open source models are general, like generally leads to stability”
    Play from 10:14

    ConceptOpen Models

    Report this moment
  2. B
    “I'm super skeptical of the argument that open source models are a long-term pillar of cyber defense”
    Play from 14:58

    ConceptOpen Models

    Report this moment
  3. B
    “open source for cyber defense equals cyber defense capabilities that are real and deployed. That is not the case.”
    Play from 16:04

    ConceptOpen Models

    Report this moment

Eye on AI

In 5 Years, 90% of What You Use AI For Will Run on Your Smartphone | Paolo Ardoino, Tether

Open episode ↗
  1. A
    “Our team was able to produce a 4 billion parameters model. that was exceeding the performance and the accuracy of the 27 billion parameter model of Magenta.”
    Open episode and seek to 18:08

    ConceptOpen Models

    Report this moment
  2. A
    “can work everywhere. And yeah, we, and again, will be fully open source.”
    Open episode and seek to 37:41

    ConceptOpen Models

    Report this moment
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