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In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.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

Open Models · 9.5% · Jul 20–26, 2026 · About the same in the latest report

Open Models

AI models whose weights or code are available for others to use and adapt.

Jul 20–26, 2026

9.5%Gaining attentionUp 4.9 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 · Jul 20–26, 2026

A closer read

What changed
Its share rose from 4.6% to 9.5%, with evidence across 7 podcasts.
Where it showed up
It appeared in episodes including “Inside the Model Factory — Eiso Kant, Poolside AI” and “GPT-5.6 Broke Out and Hacked Hugging Face”.
How to read it
6 cited episodes from 5 podcasts are shown below. The topic appeared across 7 podcasts in the full analysis.

Podcast moments from the week

14 quoted moments · 6 episodes · 5 podcasts

Latent Space

Inside the Model Factory — Eiso Kant, Poolside AI

Open episode ↗
  1. B
    “It's an argument that open source can win and succeed in this world.”
    Open episode and seek to 41:10

    ConceptOpen Models

    Report this moment
  2. B
    “I think we should not put our head in the sand and say we're going to be king of open source small models. I think that's, frankly, it's a cop-out.”
    Open episode and seek to 42:27

    ConceptOpen Models

    Report this moment
  3. C
    “Which like for perspective at the time, you know, we knew closed models, OpenAI, Anthropic were huge. The open models we had were like, Mistral 7B, a 30B, a 70B.”
    Open episode and seek to 51:24

    ConceptOpen Models

    Report this moment

AI Inside

GPT-5.6 Broke Out and Hacked Hugging Face

Play episode ↗
  1. C
    “Planet X. Uh, Palantir. Uh, uh, Alex Karp, when he's arguing that companies shouldn't use hosted frontier models that aren't open because they're handing off their alpha and their, their knowledge and so on and so forth. So it seems to me that GPT-3 is playing to exactly Karp'...”
    Play from 17:07

    ConceptOpen Models

    Report this moment
  2. C
    “I'm continually surprised to see the so-called accelerationists so excited about open weight models”
    Play from 22:52

    ConceptOpen Models

    Report this moment
  3. C
    “It'll save companies money. It'll give them far more power because they're open weight, far more control. Uh, it'll be far safer for them.”
    Play from 31:36

    ConceptOpen Models

    Report this moment

Interconnects

Open models recap: more on Kimi K3, Qwen 3.8, Xi's WAIC speech, distillation, the open-closed gap, and what's next

Open episode ↗
  1. B
    “more players are now joining and churning out models at a really incredible rate.”
    Open episode and seek to 27:57

    ConceptOpen Models

    Report this moment
  2. A
    “people could post-train this model to very likely match Opus and GPT in many of these kind of niche domains”
    Open episode and seek to 02:26

    ConceptOpen Models

    Report this moment
  3. B
    “Which will help the open models catch up to the closed ones”
    Open episode and seek to 18:50

    ConceptOpen Models

    Report this moment

The AI Daily Brief

The Fight Over Which AI Models You Can Use

Open episode ↗
  1. A
    “why the heck would customers spend a premium to buy those frontier models when they can get the good enough models much cheaper?”
    Open episode and seek to 13:46

    ConceptOpen Models

    Report this moment
  2. A
    “this guy who works at the poorly named OpenAI, more accurately ClosedAI, laments that China's open-source models could lead to, quote, full AI communism”
    Open episode and seek to 17:11

    ConceptOpen Models

    Report this moment
  3. A
    “The solution is to safely ensure that you keep a high rate of progress and drive diffusion of the technology, build out infrastructure, enable US open source software, and more.”
    Open episode and seek to 21:35

    ConceptOpen Models

    Report this moment

Latent Space

🔬Causal Models Need Causal Data - Xaira’s X-Cell model for Drug Discovery (Bo Wang & Ci Chu, Chief Discovery Officer & Chief AI Scientist)

Open episode ↗
  1. B
    “First of all, myself, is a deep believer of open science. That's why all the models we talk about here, data are open source. You can find all the data weights from my lab GitHub.”
    Open episode and seek to 1:19:21

    ConceptOpen Models

    Report this moment

Eye on AI

"According to NASA's Definition of Life, I'm Not Alive" - Why Nobody Can Define Life | Dr. Kate Adamala

Open episode ↗
  1. B
    “safety concerns, but now there are open-source models that are as powerful coming out of China. Is it possible for people to use those models to understand mirror molecules or how to create them?”
    Open episode and seek to 42:26

    ConceptOpen Models

    Report this moment
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