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

Agents

AI systems that can plan, use tools, and carry out multi-step tasks.

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 7.9% of the conversation, with evidence across 12 podcasts.
Where it showed up
It appeared in episodes including “The Thermodynamic AI Computing Chip - Thomas Ahle” and “The Capability Overhang Playbook”.
How to read it
6 cited episodes from 6 podcasts are shown below. The topic appeared across 12 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 · 6 podcasts

Machine Learning Street Talk

The Thermodynamic AI Computing Chip - Thomas Ahle

Open episode ↗
  1. B
    “So engineers design the whole circuit in a language called Verilog, almost written like software, and only much later does any of it become physical silicon. But first, that code has to be simulated and formally verified. it has to be proven correct. Because once a chip is fab...”

    ConceptAgents

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  2. A
    “having some 20 GPT agents running for around 6 months now, still making progress”

    ConceptAgents

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  3. C
    “there is this tendency with agentic coding to build a spaghetti monster”

    ConceptAgents

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The AI Daily Brief

The Capability Overhang Playbook

Open episode ↗
  1. A
    “you have the world's most infinitely patient and knowledgeable tutor in the actual tools themselves”

    ConceptAgents

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  2. A
    “even when some of them are derivative, they're almost all valuable.”

    ConceptAgents

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  3. A
    “it will actually make these assets that you've spent time developing for yourself much, much more useful.”

    ConceptAgents

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The Cognitive Revolution

AI:AM #4: Cameron on Model Consciousness, Duvenaud's Gradual Disempowerment, swyx's AI-Eng Alpha

Open episode ↗
  1. A
    “Another harness idea getting attention is the advisor or router model, a cheaper model that notices when it's stuck and calls up a smarter one. We asked Swyx what he makes of it.”

    ConceptAgents

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  2. C
    “You're effectively just doing model routing. You're just giving it a different name.”

    ConceptAgents

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  3. C
    “when you are asked a question that is more complex than you have the intelligence to answer, you don't even know, like, you're just going to straightforward answer it without knowing that, like, oh, I'm supposed to call out the smart model. And that's just the theoretical limi...”

    ConceptAgents

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AI Inside

Liz Reid on What Publishers Get Wrong About AI

Play episode ↗
  1. C
    “the agentic side of things is starting to also come over to search, which is interesting and exciting”

    ConceptAgents

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No Priors

Really Big Test-Time Compute in AI Changes Benchmarks, Safety and Research with OpenAI Research Scientist Noam Brown

Play episode ↗
  1. A
    “with the most recent models that you can actually scaffold, for example, 5.5 into doing a series of experiments that can run for weeks, for months.”

    ConceptAgents

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  2. A
    “we're going to pretty soon be at that point where I probably could just tell it like, yeah, go work on this for a month and then come back to me with a full, complete poker solver that's state-of-the-art”

    ConceptAgents

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  3. B
    “What do you think is on the frontier that is less explored now? Like, we've talked about multi-agent before.”

    ConceptAgents

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The AI Native Dev

Why Agents Are Forcing Enterprises to Finally Fix Their Dev Process

Play episode ↗
  1. A
    “Now that it's agents doing the work and tokens and the cost of those, everyone's gonna be really keen on making sure the software development lifecycle was as effective and as efficient as it possibly could be. But when it was humans, it was like, oh well, Timmy's just lazy an...”

    ConceptAgents

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  2. C
    “There is no excuse not to do everything you ever thought you'd want somebody to do and then automate it so it happens by CI automatically.”

    ConceptAgents

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  3. D
    “Brilliant. So, around this table, we're going to be chatting about all things AI enablement. Let's kick off with an interesting question about when we want to scale AI agentic development across our organization in a way where we can control it, It is something we can govern. ...”

    ConceptAgents

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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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