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In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.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 CasesResearch: Gaining attention in the latest reportResearchAgents: About the same in the latest reportAgentsSafety & governance: Losing attention in the latest reportSafety & governanceHardware: Gaining attention in the latest reportHardwareRegulation: About the same in the latest reportRegulationOpen Models: About the same in the latest reportOpen ModelsEconomics: Losing attention in the latest reportEconomicsInfrastructure: About the same in the latest reportInfrastructureJobs: About the same in the latest reportJobsOther: Below threshold in the latest reportOther

Direction compares the latest report with recent weeks; small changes are “About the same,” and gaps mean no measurement.

Open Models · 4.6% · Jul 13–19, 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 13–19, 2026

4.6%About the sameNo comparable prior 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 13–19, 2026

A closer read

What changed
This was its first published appearance at 4.6% of the conversation, with evidence across 7 podcasts.
Where it showed up
It appeared in episodes including “Is Kimi K3 Really Fable Class?” and “Kimi K3 Is Here. China Just Hit the AI Frontier.”.
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

17 quoted moments · 6 episodes · 5 podcasts

The AI Daily Brief

Is Kimi K3 Really Fable Class?

Open episode ↗
  1. A
    “In fact, as we've been discussing fine-tunes of open models like Cursor's Composer 2.5, they tend to be built around a KIMI base. On Wednesday, the KIMI K3 teaser started coming in a serious way. AI leaker Leo Synthwave wrote, I think KIMI K3 is going to shock some of the Chin...”
    Open episode and seek to 03:33

    ConceptOpen Models

    Report this moment
  2. A
    “As for features, KIMI-K3 supports a million-token context window and native image inputs alongside text. It uses a mixture of experts architecture, which has become standard for both open source and proprietary models since it was introduced by DeepSeek. And the benchmarks, we...”
    Open episode and seek to 04:44

    ConceptOpen Models

    Report this moment
  3. A
    “clearly a very strong new pre-training run that could give a solid base model for future iterations as well”
    Open episode and seek to 06:11

    ConceptOpen Models

    Report this moment

AI For Humans

Kimi K3 Is Here. China Just Hit the AI Frontier.

Play episode ↗
  1. B
    “But it's not as cheap as free and probably too big to run locally unless you're like some sort of billionaire who fights robots in their spare time. You know, robots like this.”
    Play from 00:07

    ConceptOpen Models

    Report this moment
  2. B
    “It could be hitting next week. And wouldn't that make sense, Gavin? As we see, everybody goes open source, open weights, open this. It's always 6 months behind. And now look at this.”
    Play from 08:35

    ConceptOpen Models

    Report this moment

The AI Daily Brief

The New Enterprise Battle Over Who Owns the Model

Open episode ↗
  1. A
    “That model was a larger and more capable version of their Open Model family, addressing the demand for powerful and cheap US-based models”
    Open episode and seek to 03:30

    ConceptOpen Models

    Report this moment
  2. A
    “And yet, as regular listeners well know, benchmarks don't usually tell much of a story. Unfortunately, although there aren't all that many first impressions, the ones that we have aren't great. Professor Ethan Mollick wrote, Happy to see a new open weights model, but so far In...”
    Open episode and seek to 16:18

    ConceptOpen Models

    Report this moment
  3. A
    “The world needs open LLMs from as many players as possible. Given TLM's talent, know-how, funding, and compute, they will soon reach Opus if not Fable-5 level. So basically Yunfan's argument is that this should be treated as the first, not last, model that TML is going to put ...”
    Open episode and seek to 17:32

    ConceptOpen Models

    Report this moment

Latent Space

🔬 The Lab of the Future Should Feel Like a Data Center — Andy Beam & Rafa Gómez-Bombarelli, Lila Sciences

Open episode ↗
  1. B
    “a good scientific prior over what is known, and therefore a good base camp to build upon”
    Open episode and seek to 1:21:02

    ConceptOpen Models

    Report this moment
  2. B
    “Yeah. And we use, like, we use Neutron quite a bit because we have a partnership with Nvidia. And I think there's like 30 trillion tokens that go into the pre- and post-training for that model.”
    Open episode and seek to 1:21:41

    ConceptOpen Models

    Report this moment
  3. A
    “Have you all— So in the process of these reasoning tokens, you are also creating what are arguably probably just rather useful datasets themselves. Have you thought about independently releasing some of those datasets open source, even in the absence of the reasoning model, wh...”
    Open episode and seek to 1:21:50

    ConceptOpen Models

    Report this moment

AI Inside

Apple Says OpenAI Stole Its Secrets

Play episode ↗
  1. B
    “So, um, all right, so open source, like open source code has faced a similar situation. Open source code still fully exists. Is there any, like, is there any, like, precedent or You know, how is it— how and why is this different? Is it because it's just the scale? It's, it's b...”
    Play from 40:38

    ConceptOpen Models

    Report this moment
  2. C
    “I think the open source code world was different. These are applications. that can do powerful, dangerous things”
    Play from 41:00

    ConceptOpen Models

    Report this moment
  3. B
    “Um, CH, uh, Zimis, uh, or Zimis on YouTube says, interesting, some of these companies are very pro-open source though. Microsoft with .NET, Google in general. And I—”
    Play from 41:55

    ConceptOpen Models

    Report this moment

Last Week in AI

#252 - GPT 5.6, Grok 4.5, Nemotron-Labs-Diffusion, AI 2040

Play episode ↗
  1. A
    “I would imagine that just the training volume is ridiculous, but the product side release here was a bit of a mess. And next, going back to models, there's a story, Chinese AI models gain ground with US companies as costs surge. So this is a bit of a trend check where it's sho...”
    Play from 31:39

    ConceptOpen Models

    Report this moment
  2. B
    “Keep in mind also that China is going to be clamping down on open source at some point in the next like year or 2. So many of these trends are I think properly viewed as transients, where it just becomes untenable for, you know, like cyber weapon models or models that can even...”
    Play from 33:22

    ConceptOpen Models

    Report this moment
  3. B
    “increasingly you're going to want to like look at a model that was made, you know, with the hardware that you trust or software you trust”
    Play from 34:22

    ConceptOpen Models

    Report this moment
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