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

Infrastructure attention rebounded while adoption use cases fell back

Across 17 episodes from 11 contributing podcasts, infrastructure rose 3.1 points to 9.3% while adoption use cases fell 3 points to 29.2%.

17 Episodes analyzed11 Podcasts contributed this week4 Weeks compared

All 17 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 fell 3 points and Agents fell 1.5 points.
Where it showed up
Adoption Use Cases, Agents, and Research accounted for 58% of the relevant conversation across 17 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.11 podcasts · 241 relevant passagesThe AI Daily Brief, AI For Humans, and Practical AI +8 more29%of this week's conversation
  2. AgentsAI systems that can plan, use tools, and carry out multi-step tasks.10 podcasts · 136 relevant passagesThe AI Daily Brief, AI For Humans, and Practical AI +7 more16%of this week's conversation
  3. ResearchNew models, training methods, benchmarks, and discoveries from AI labs.9 podcasts · 143 relevant passagesThe AI Daily Brief, AI For Humans, and Practical AI +6 more12%of this week's conversation
  4. InfrastructureThe software and systems needed to build, deploy, and monitor AI.9 podcasts · 73 relevant passagesThe AI Daily Brief, Practical AI, and Latent Space +6 more9%of this week's conversation
  5. Safety & governanceWays to reduce harm, set limits, test behavior, and govern how AI is used.9 podcasts · 83 relevant passagesThe AI Daily Brief, AI For Humans, and Latent Space +6 more8%of this week's conversation
  6. RegulationLaws, rules, and government decisions about how AI may be built and used.5 podcasts · 71 relevant passagesThe AI Daily Brief, AI For Humans, and AI Inside +2 more7%of this week's conversation
  7. EconomicsThe cost of building and running AI, and how money moves through the market.11 podcasts · 62 relevant passagesThe AI Daily Brief, AI For Humans, and Practical AI +8 more6%of this week's conversation
Showing 7 of 11 leading conversationsView 4 more conversationsShow fewer conversations
  1. Open ModelsAI models whose weights or code are available for others to use and adapt.7 podcasts · 51 relevant passagesThe AI Daily Brief, AI For Humans, and Latent Space +4 more5%of this week's conversation
  2. HardwareThe chips, data centers, energy, and devices that AI depends on.4 podcasts · 33 relevant passagesAI For Humans, The AI Daily Brief, and AI Inside +1 more3%of this week's conversation
  3. JobsHow AI is changing work, hiring, roles, and the skills people need.5 podcasts · 15 relevant passagesPractical AI, Latent Space, and The AI Daily Brief +2 more2%of this week's conversation
  4. OtherAI discussion that does not fit another recurring topic.6 podcasts · 26 relevant passagesAI For Humans, Practical AI, and AI Inside +3 more2%of this week's conversation
Back to all concepts
From Jul 13–19, 2026

About this Concept

Research

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

Trend this week

4 of 4 weeks tracked had mentions across multiple podcasts.

A closer read

What changed
Its share fell from 13.1% to 12.4%, with evidence across 9 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 9 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.

15 quoted moments · 6 episodes · 5 podcasts

AI For Humans

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

Play episode ↗
  1. B
    “GPT-3 was smarter than me. I mean, it wasn't maybe as capable. I'll give myself that.”

    ConceptResearch

    Report this moment
  2. B
    “It was smarter than me.”

    ConceptResearch

    Report this moment
  3. A
    “China's latest model, Kimi K3, is out and it is inching ever closer to the frontier of American AI.”

    ConceptResearch

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Practical AI

The Future of AI Infrastructure with CoreWeave

Open episode ↗
  1. C
    “And so, you know, a bunch of that observability, this is a big part of, I think, where that sort of AI-centric work that sort of, you know, we believe our secret sauce, but certainly everybody's working on that sort of like AI-centric focus on sort of being able to detect thos...”

    ConceptResearch

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The AI Daily Brief

The New Enterprise Battle Over Who Owns the Model

Open episode ↗
  1. A
    “Marketing's agent turns competitor moves into landing pages. Sales' agent enriches leads, drafts emails, and updates the CRM. Ops' agent chases the paperwork and tracks the budget. Every agent has access to shared context and follows your rules about scope and approvals. It's ...”

    ConceptResearch

    Report this moment
  2. A
    “Now for context, at 975 billion parameters, Inkling is quite a bit smaller than the 1.6 billion parameters of DeepSeek V4 Pro, but a little larger than the 750 billion parameters of ZAI's GLM-5.2. Importantly, TML pre-trained Inkling from scratch. And aside from a small bootst...”

    ConceptResearch

    Report this moment
  3. A
    “On coding, Inkling scored 54.3% on SweBench Pro and 63.8% on TerminalBench 2.1, again putting it ahead of NeMoTrON and K2.5, but a little behind K2.6 and at a significant shortfall compared to GLM-5.2, 5.6 SOL, and Fable-5. On GDPVal, which measures real-world tasks and is a s...”

    ConceptResearch

    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
    “those are the types of like serendipity things that we'd actually like to automate”

    ConceptResearch

    Report this moment
  2. B
    “We have lots of funny, like, RL fails that are not explicitly reward hacking. Well, I mean, one is when we trained— one of the early things we did was like, can you just like make a plate map? Like, can you like lay the experimental conditions out on a plate. And it got annoye...”

    ConceptResearch

    Report this moment
  3. B
    “We are all in on the bitter lesson and scale. We think that methods that scale and that are general beat those that are not. You know, as Ilya said at NeurIPS last year, we have but one internet. It's the fossil fuel we fracked. We got every ounce of data that we could out of ...”

    ConceptResearch

    Report this moment

Last Week in AI

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

Play episode ↗
  1. B
    “So it's causal. It is sometimes referred to as causal.”

    ConceptResearch

    Report this moment
  2. B
    “Yeah, it's pretty interesting when you look at like the broad fingerprint of capabilities that's advertised here. So the first thing, by the way, from a You can tell what part of the model announcements I rush to immediately when I see these cyber capabilities, because that's ...”

    ConceptResearch

    Report this moment
  3. A
    “Yeah. And you know, how much does superintelligence help you with stuff building nuclear safely anyways? Onto projects in open source. And we do have a couple of interesting new models that are open source, starting with Nimotron-Labs-Diffusion, a tri-mode language model unify...”

    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.

Adoption Use Cases

↶ Down 3 points

Adoption Use Cases reversed course

Its share fell from 32.2% last week to 29.2% this week, reversing the previous week's rise.

29.2%this week30.0%recent average
Podcast moments5 cited moments

Infrastructure

↶ Up 3.1 points

Infrastructure rebounded

Its share rose from 6.2% last week to 9.3% this week, reversing the previous week's drop.

9.3%this week5.6%recent average
Podcast moments5 cited moments

Open Models

↗ Up 2.9 points

Open Models gained ground

Its share grew from 1.7% last week to 4.6% this week.

4.6%this week3.1%recent average
Podcast moments5 cited moments

Jobs

↘ Down 2.4 points

Jobs cooled

Its share fell from 4.7% last week to 2.3% this week.

2.3%this week3.7%recent average
Podcast moments5 cited moments

Regulation

↗ Up 2.1 points

Regulation gained ground

Its share grew from 5% last week to 7.1% this week.

7.1%this week5.9%recent average
Podcast moments5 cited moments

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