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

Research

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

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 18.5% of the conversation, with evidence across 11 podcasts.
Where it showed up
It appeared in episodes including “The Thermodynamic AI Computing Chip - Thomas Ahle” and “AI:AM #4: Cameron on Model Consciousness, Duvenaud's Gradual Disempowerme...”.
How to read it
6 cited episodes from 6 podcasts are shown below. The topic appeared across 11 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.

14 quoted moments · 6 episodes · 6 podcasts

Machine Learning Street Talk

The Thermodynamic AI Computing Chip - Thomas Ahle

Open episode ↗
  1. C
    “Oh, really? Using adaptive fine-tuning? And structured inference.”

    ConceptResearch

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  2. A
    “It's like a star search or something where you kind of, um, you like, you prune your search tree as you go on, like, um, what seems most successful so far, like Exactly.”

    ConceptResearch

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  3. A
    “yeah, but did it get any of them actually right?”

    ConceptResearch

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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. B
    “The analogy that I reach for here is something like a dimmer switch, where I think you can basically accommodate both the binary intuition and the sort of continuous intuition. You know, if you have a light with a dimmer switch, like, really, it is either on to some extent or ...”

    ConceptResearch

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  2. B
    “being able to just scale the crap out of it so that we can evaluate given any description of an architecture”

    ConceptResearch

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  3. B
    “Let me stop. Wait, wait, wait. That's not right. Starts like freaking out. It starts having a, like, I don't want to use anthropomorphizing language, but the very fact that I'm reaching for it, I think is the point. And sort of goes to, to what your question is. Confidence. We...”

    ConceptResearch

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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
    “They're not controlling for the amount of test-time compute that is being used on that benchmark question.”

    ConceptResearch

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  2. A
    “5.5 and other models, can think for, if you scaffold them reasonably well, can think for weeks even before having performance plateau on some of these benchmarks.”

    ConceptResearch

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  3. A
    “And so the point at which they plateau is simply too far out to reasonably test.”

    ConceptResearch

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AI For Humans

Anthropic Caught Alibaba Spying. The AI Cold War Is Here.

Play episode ↗
  1. B
    “And basically what they're doing is they're poking at the model, you know, testing it with different inputs, seeing what the output is. And as you said, distilling— trying to distill, take away the knowledge, the learning, the reasoning from the core model so they can make the...”

    ConceptResearch

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  2. B
    “In this case, it's asking the model questions, feeding it a certain input, and then analyzing the reasoning steps and the output that the model gives you, and then using that as guidance for your own model that you're training because we know there's pre-training where a lot o...”

    ConceptResearch

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The AI Daily Brief

CEO-Led AI Gets 3X the ROI

Open episode ↗
  1. A
    “This includes every Chinese cloud giant alongside multiple electric vehicle companies, robotics labs, and chipmakers. The designation blocks these firms from doing business with the Pentagon and restricts lobbying activities. Many analysts also view the designation as a precur...”

    ConceptResearch

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  2. A
    “On Wednesday, Bloomberg reported that Jonas Adler and Alexander Pritzl were also leaving to join Anthropic. The report described Adler and Pritzl as senior researchers who were viewed as key contributors to Gemini. After scraping social media, ChrisGPT found 2 more Googlers pa...”

    ConceptResearch

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The AI Native Dev

Why Agents Are Forcing Enterprises to Finally Fix Their Dev Process

Play episode ↗
  1. A
    “And it's exactly the same as we were all saying earlier of like, that's always been good development practice. Like, there's nothing worse than as a developer, you run the tests and you just get like Assert true failed, and you're like, great. Error 1317.”

    ConceptResearch

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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.

View the next edition

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