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In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.

2 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.

Safety & governance · 3.8% · Jul 20–26, 2026 · Losing attention in the latest report

Safety & governance

Ways to reduce harm, set limits, test behavior, and govern how AI is used.

Jul 20–26, 2026

3.8%Losing attentionDown 3.8 percentage points from last week

Choose a week to read the discussion.— Below threshold

Safety & governance, 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

Safety & governance · Jul 20–26, 2026

A closer read

What changed
Its share fell from 7.6% to 3.8%, with evidence across 5 podcasts.
Where it showed up
It appeared in episodes including “BONUS: Snyk Found Malware Inside AI Agent Skills” and “Inside the Model Factory — Eiso Kant, Poolside AI”.
How to read it
6 cited episodes from 5 podcasts are shown below. The topic appeared across 5 podcasts in the full analysis.

Podcast moments from the week

10 quoted moments · 6 episodes · 5 podcasts

The AI Native Dev

BONUS: Snyk Found Malware Inside AI Agent Skills

Play episode ↗
  1. C
    “What can a developer actually do to make sure that any skills that they download, you know, is first of all safe? And how can an organization better adopt such technology with that governance in mind?”
    Play from 11:35

    ConceptSafety & governance

    Report this moment

Latent Space

Inside the Model Factory — Eiso Kant, Poolside AI

Open episode ↗
  1. A
    “It's better to err on the side of safety and then roll it back rather than the other way”
    Open episode and seek to 1:31:38

    ConceptSafety & governance

    Report this moment
  2. C
    “You don't have global err on the side of safety”
    Open episode and seek to 1:31:53

    ConceptSafety & governance

    Report this moment
  3. A
    “you don't get to do unilateral safety because someone else will just be more unsafe than you”
    Open episode and seek to 1:32:01

    ConceptSafety & governance

    Report this moment

AI Inside

GPT-5.6 Broke Out and Hacked Hugging Face

Play episode ↗
  1. B
    “They did privilege escalation, moved laterally inside of OpenAI's own testing environment, figured out that Hugging Face happened to be hosting an actual solution to the evaluation, and instead of solving the test, they just chained together these um, I guess these stolen cred...”
    Play from 07:49

    ConceptSafety & governance

    Report this moment

The AI Native Dev

From Living Room Hack to 30 AI Agents at Cyera

Play episode ↗
  1. A
    “if you want to build agents and let agents roam freely. Because otherwise, you risk leaks. And if you're scared of data leaking, you're kind of paralyzed, right? So it's really all about control.”
    Play from 04:37

    ConceptSafety & governance

    Report this moment

Interconnects

Kimi K3: The open-weights escalation

Open episode ↗
  1. A
    “it is an incredibly safe equilibrium for the best models to be accessed in a controlled, closed manner several months ahead of similar open-weight models”
    Open episode and seek to 13:47

    ConceptSafety & governance

    Report this moment
  2. A
    “It all comes down to careful measurement and proactive hardening of society to risk vectors.”
    Open episode and seek to 16:17

    ConceptSafety & governance

    Report this moment
  3. A
    “The key point is that we must collectively ask to mitigate potential harms as they appear.”
    Open episode and seek to 17:34

    ConceptSafety & governance

    Report this moment
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