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

This week across AI podcasts

Adoption Use Cases and research led the first week of tracking

Across 27 episodes from 15 contributing podcasts, adoption use cases held 30.1% of the relevant conversation and research held 18.5%.

27 Episodes analyzed15 Podcasts contributed this week1 Week observed

All 27 public episodes released by tracked podcasts that week were analyzed. Podcasts without a release are not counted as weekly contributors.

The TL;DR

What changed
This is the first published week, so there is no earlier report to compare.
Where it showed up
Adoption Use Cases, Research, and Safety & governance accounted for 65% of the relevant conversation across 27 episodes.
How to read it
Recurrence across podcasts does not mean agreement. The cited moments show the language behind each summary.

Inside this report

Leading conversations this week

Percentages show how much of the relevant podcast conversation each topic occupied—not whether hosts agreed with it. Open a topic for its moments and sources.

  1. Adoption Use CasesPractical ways people and organizations are putting AI to work.14 podcasts · 445 relevant passagesMachine Learning Street Talk, The AI Daily Brief, and The Cognitive Revolution +11 more30%of this week's conversation
  2. ResearchNew models, training methods, benchmarks, and discoveries from AI labs.11 podcasts · 301 relevant passagesMachine Learning Street Talk, The Cognitive Revolution, and No Priors +8 more19%of this week's conversation
  3. Safety & governanceWays to reduce harm, set limits, test behavior, and govern how AI is used.13 podcasts · 268 relevant passagesMachine Learning Street Talk, The Cognitive Revolution, and AI Inside +10 more17%of this week's conversation
  4. AgentsAI systems that can plan, use tools, and carry out multi-step tasks.12 podcasts · 152 relevant passagesMachine Learning Street Talk, The AI Daily Brief, and The Cognitive Revolution +9 more8%of this week's conversation
  5. EconomicsThe cost of building and running AI, and how money moves through the market.13 podcasts · 95 relevant passagesMachine Learning Street Talk, The Cognitive Revolution, and AI Inside +10 more7%of this week's conversation
  6. RegulationLaws, rules, and government decisions about how AI may be built and used.8 podcasts · 95 relevant passagesThe AI Daily Brief, The Cognitive Revolution, and AI For Humans +5 more6%of this week's conversation
  7. Open ModelsAI models whose weights or code are available for others to use and adapt.7 podcasts · 27 relevant passagesMachine Learning Street Talk, The AI Daily Brief, and Last Week in AI +4 more5%of this week's conversation
Showing 7 of 11 leading conversationsView 4 more conversationsShow fewer conversations
  1. JobsHow AI is changing work, hiring, roles, and the skills people need.9 podcasts · 30 relevant passagesMachine Learning Street Talk, The Cognitive Revolution, and No Priors +6 more4%of this week's conversation
  2. HardwareThe chips, data centers, energy, and devices that AI depends on.8 podcasts · 44 relevant passagesMachine Learning Street Talk, The Cognitive Revolution, and AI For Humans +5 more2%of this week's conversation
  3. InfrastructureThe software and systems needed to build, deploy, and monitor AI.6 podcasts · 44 relevant passagesThe Cognitive Revolution, AI For Humans, and Last Week in AI +3 more2%of this week's conversation
  4. OtherAI discussion that does not fit another recurring topic.9 podcasts · 33 relevant passagesMachine Learning Street Talk, The AI Daily Brief, and AI For Humans +6 more1%of this week's conversation
Back to all concepts
From Jun 22–28, 2026

About this Concept

Open Models

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

Trend this week

1 of 1 week tracked had mentions across multiple podcasts.

A closer read

What changed
This was its first published appearance at 4.9% of the conversation, with evidence across 7 podcasts.
Where it showed up
It appeared in episodes including “The Thermodynamic AI Computing Chip - Thomas Ahle” and “The Ad Hoc AI Licensing Regime”.
How to read it
6 cited episodes from 6 podcasts are shown below. The topic appeared across 7 podcasts in the full analysis.

Podcast moments from the week

Moments are grouped by episode so repeated excerpts from one conversation do not look like separate sources.

13 quoted moments · 6 episodes · 6 podcasts

Machine Learning Street Talk

The Thermodynamic AI Computing Chip - Thomas Ahle

Open episode ↗
  1. A
    “it is just for a lot of things more efficient than also going through and you can get everything just the way you want it.”

    ConceptOpen Models

    Report this moment
  2. A
    “now you're really skeptical about anything because like, why would I wanna spend time reading stuff that you didn't even read yourself”

    ConceptOpen Models

    Report this moment
  3. A
    “And yeah, it's not really fun. Yeah. Have you talked with anyone about that? Like people talking about like we need like a GitHub, like a social credit system, like a karma system so people can like downrate you. And like if you don't have a high enough karma, maybe they'll ju...”

    ConceptOpen Models

    Report this moment

The AI Daily Brief

The Ad Hoc AI Licensing Regime

Open episode ↗
  1. A
    “But interestingly, the Fable 5 background context, along with the token efficiency considerations and cost concerns that had been growing even before that, have made people a little bit less willing to just jump into the latest feature from one of the big labs. As Will Brown f...”

    ConceptOpen Models

    Report this moment

Last Week in AI

#249 - Fable 5 ban, SpaceX Cursor + IPO, OSS Aplenty

Play episode ↗
  1. A
    “the cost and speed of these open source options, especially if they keep moving in that direction, will potentially start eating at the revenue of OpenAI and Anthropic”

    ConceptOpen Models

    Report this moment
  2. B
    “Bottom line is, KimmyK27, Code Local. Yeah. One of the big things here is they've actually taken the, so the initial like 1 trillion parameter model and they shrunk it down to about like 325 gigs. Previously it would have been 605 gigs at full precision. So they've done this w...”

    ConceptOpen Models

    Report this moment
  3. B
    “It's pretty impressive and a pretty radical quantization win here.”

    ConceptOpen Models

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Latent Space

Why the Frontier Ecosystem must be Open — Matei Zaharia and Reynold Xin, Databricks

Open episode ↗
  1. C
    “one of the reasons we open sourced it is anyone building agents, this gives them an app they can start with and customize”

    ConceptOpen Models

    Report this moment
  2. C
    “there'll be some network effect. It'll benefit from many people collaborating on it.”

    ConceptOpen Models

    Report this moment
  3. B
    “we're already seeing pull requests of all kinds of ecosystem integration”

    ConceptOpen Models

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Training Data

Memory and Continual Learning: Engram's Dan Biderman and Jessy Lin

Play episode ↗
  1. B
    “Does this approach work on the frontier models or the closed frontier models?”

    ConceptOpen Models

    Report this moment
  2. C
    “We need white box access to the weights, right? So we can partner with companies that have closed source weights and do this with them, but it's easiest for us to do it with open source models. But any model that's a transformer model, we can do our thing to it.”

    ConceptOpen Models

    Report this moment

The Artificial Intelligence Show

#221: Anthropic vs. the White House, Microsoft CEO on the Future of Firms & AI’s Token Crisis

Play episode ↗
  1. B
    “I was gonna say, good luck. Let us report back with your results, please. Um, Chinese startup Z.AI released something called GLM-5.2 that's getting quite a bit of attention online. This is an open weights model under an MIT license that The Open Model Leaderboards and beats GP...”

    ConceptOpen Models

    Report this moment

Changes across weeks

Patterns worth following

The changes that stood out compared with recent weeks. A Pattern must show up across multiple podcasts and weeks.

Opening edition

This week is our starting point.

Patterns need at least two weeks to compare. This is the first published week, so there is no change to show yet.

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