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

Research attention surged while infrastructure fell back

Across 10 episodes from 6 contributing podcasts, research rose 12 points to 24.4% while infrastructure fell 7.1 points to 2.2%.

10 Episodes analyzed6 Podcasts contributed this week5 Weeks compared

All 10 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
Adoption Use Cases rose 4.7 points and Research rose 12 points.
Where it showed up
Adoption Use Cases, Research, and Agents accounted for 69% of the relevant conversation across 10 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.6 podcasts · 140 relevant passagesThe AI Daily Brief, No Priors, and Practical AI +3 more34%of this week's conversation
  2. ResearchNew models, training methods, benchmarks, and discoveries from AI labs.6 podcasts · 195 relevant passagesThe AI Daily Brief, No Priors, and Practical AI +3 more24%of this week's conversation
  3. AgentsAI systems that can plan, use tools, and carry out multi-step tasks.5 podcasts · 39 relevant passagesNo Priors, Practical AI, and Latent Space +2 more10%of this week's conversation
  4. Open ModelsAI models whose weights or code are available for others to use and adapt.4 podcasts · 31 relevant passagesPractical AI, Latent Space, and The AI Daily Brief +1 more9%of this week's conversation
  5. EconomicsThe cost of building and running AI, and how money moves through the market.5 podcasts · 37 relevant passagesThe AI Daily Brief, No Priors, and Practical AI +2 more9%of this week's conversation
  6. RegulationLaws, rules, and government decisions about how AI may be built and used.4 podcasts · 24 relevant passagesThe AI Daily Brief, Practical AI, and Latent Space +1 more4%of this week's conversation
  7. HardwareThe chips, data centers, energy, and devices that AI depends on.3 podcasts · 14 relevant passagesNo Priors, Latent Space, and AI For Humans3%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.3 podcasts · 6 relevant passagesNo Priors, Practical AI, and Latent Space2%of this week's conversation
  2. InfrastructureThe software and systems needed to build, deploy, and monitor AI.4 podcasts · 17 relevant passagesThe AI Daily Brief, No Priors, and Latent Space +1 more2%of this week's conversation
  3. Safety & governanceWays to reduce harm, set limits, test behavior, and govern how AI is used.2 podcasts · 20 relevant passagesLatent Space and The AI Daily Brief2%of this week's conversation
  4. OtherAI discussion that does not fit another recurring topic.2 podcasts · 3 relevant passagesPractical AI and AI For Humans1%of this week's conversation
Back to all concepts
From Jul 20–26, 2026

About this Concept

Research

New models, training methods, benchmarks, and discoveries from AI labs.

Trend this week

5 of 5 weeks tracked had mentions across multiple podcasts.

A closer read

What changed
Its share rose from 12.4% to 24.4%, with evidence across 6 podcasts.
Where it showed up
It appeared in episodes including “A Field Guide to AI Market Freakouts” and “Building an Autonomous Delivery Experience with DoorDash Co-Founders Andy...”.
How to read it
6 cited episodes from 5 podcasts are shown below. The topic appeared across 6 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.

16 quoted moments · 6 episodes · 5 podcasts

The AI Daily Brief

A Field Guide to AI Market Freakouts

Open episode ↗
  1. A
    “we've also just seen pre-training very clearly not having hit a wall”

    ConceptResearch

    Report this moment

No Priors

Building an Autonomous Delivery Experience with DoorDash Co-Founders Andy Fang and Stanley Tang

Play episode ↗
  1. C
    “Where, I mean, we, we also launched a product called Tasks a couple months ago where we're, we're having people in the Dasher fleet help basically collect, uh, data points to help train some of these world models. And I think we're so early there, and I think there's so many d...”

    ConceptResearch

    Report this moment
  2. A
    “it's not that hard to get a cherry-picked demo of like one cool success on a task”

    ConceptResearch

    Report this moment
  3. A
    “The problem is getting it to work on any object or in any environment.”

    ConceptResearch

    Report this moment

Practical AI

Surviving the New Economics of a Post-Agentic World

Open episode ↗
  1. C
    “I mean, one of the things that I think is interesting is that lately I'm hearing a lot more conversations about not only looking for other sources of open weight models that are out there that are not specifically Chinese or specifically from the US. Obviously Europe is doing ...”

    ConceptResearch

    Report this moment
  2. B
    “improving functional capability of these models to route and report information”

    ConceptResearch

    Report this moment
  3. C
    “Yeah, I think one of the things in the paper that you're referencing that was pointed out was that Anthropic had noticed that models are creating what they're calling workspaces, where they're essentially— the notion of the workspace is fulfilling the same function as working ...”

    ConceptResearch

    Report this moment

Latent Space

Inside the Model Factory — Eiso Kant, Poolside AI

Open episode ↗
  1. B
    “No, it's not at all. Actually, I don't think it's obvious how I got in this I owe getting into this space to Andrej Karpathy. In 2015, he wrote an article called The Unreasonable Effectiveness of Recurrent Neural Nets. And that article, I read it and I pivoted my startup at th...”

    ConceptResearch

    Report this moment
  2. B
    “that we're starting to actually predict letters. He has an example out here. There's a little Paul Graham generator, and you can kind of read it, and the text kind of makes sense, but it doesn't. And there's a little, there's an example of code a little bit further down. It sa...”

    ConceptResearch

    Report this moment
  3. B
    “And what we missed throughout that entire journey that we were on the right track, but we should have just kept scaling up. And today to all of us, the scaling laws and scaling up seems like the most obvious thing. But having spent 4 or 5 years of my life on working on languag...”

    ConceptResearch

    Report this moment

The AI Daily Brief

Wait... Just How Good IS GPT-6?

Open episode ↗
  1. A
    “Very strange model release. Leo at Synthwaved writes, Gemini 3.6 Flash benchmarks are out, and it's beaten by other models on code tasks and is only really consistently state-of-the-art on vision and context benchmarks. But hey, 3.1 Pro is now so old that 3.6 Flash outperforms...”

    ConceptResearch

    Report this moment
  2. A
    “the latest generation of frontier models quietly plowing through unsolved math problems”

    ConceptResearch

    Report this moment
  3. A
    “Math capabilities accelerated so quickly”

    ConceptResearch

    Report this moment

AI For Humans

Is Google Gemini In Trouble?

Play episode ↗
  1. B
    “If you are doing stuff in the API and you want a very smart, cheap model, this is pretty good.”

    ConceptResearch

    Report this moment
  2. B
    “One second. He said 3.5 Pro is testing with partners and will hopefully land soon. And this is also on top of another tweet that he put out today, uh, exactly when 3.6 Flash came out, where he said very specifically, we have started our most ambitious pre-training run yet for ...”

    ConceptResearch

    Report this moment
  3. B
    “maybe there are significant scientific discoveries coming down the pipe. So that is very exciting”

    ConceptResearch

    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.

Infrastructure

↶ Down 7.1 points

Infrastructure reversed course

Its share fell from 9.3% last week to 2.2% this week, reversing the previous week's rise.

2.2%this week7.9%recent average
Podcast moments5 cited moments

Adoption Use Cases

↶ Up 4.7 points

Adoption Use Cases rebounded

Its share rose from 29.2% last week to 33.9% this week, reversing the previous week's drop.

33.9%this week29.7%recent average
Podcast moments5 cited moments

Regulation

↶ Down 3.1 points

Regulation reversed course

Its share fell from 7.1% last week to 4% this week, reversing the previous week's rise.

4.0%this week6.1%recent average
Podcast moments5 cited moments

Research

↗ Up 12 points

Research gained ground

Its share grew from 12.4% last week to 24.4% this week.

24.4%this week15.7%recent average
Podcast moments5 cited moments

Agents

↘ Down 5.5 points

Agents cooled

Its share fell from 15.9% last week to 10.4% this week.

10.4%this week15.5%recent average
Podcast moments5 cited moments

Safety & governance

↘ Down 5.4 points

Safety & governance cooled

Its share fell from 7.6% last week to 2.2% this week.

2.2%this week6.5%recent average
Podcast moments4 cited moments

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