Issue No. 45Week ending Sunday, November 8, 2026806 episodes · 3,521 write-ups
The Podcast Summary.

The best ideas from 30+ top podcasts, every week.

Insights

What the podcasts say, counted.

We keep the full transcript of every episode we summarize, 806 so far. These pages count what the shows say in those transcripts. Each page shows example quotes with a link to the exact moment, and explains how we counted.

The biggest move right now

AGI Fading

AGI peaked in the four weeks to Aug 16, at 12 of 54 episodes (22%). It is at 5% now, well below its usual 13%.

19%Apr 266 of 3210%May 245 of 5116%Jun 2111 of 6817%Jul 1910 of 6022%Aug 1612 of 5414%Sep 1311 of 789%Oct 1110 of 1065%Nov 88 of 157

The AGI page →

Biggest moves

The terms whose share changed the most between the earlier weeks and the newest four, strongest evidence first. The tag says whether the change is big enough to call.

  • ChatGPT No clear trend12% before, 4% now (7 of 157 episodes)
  • Neoclouds No clear trend6% before, 11% now (17 of 157 episodes)
  • Prediction markets No clear trend5% before, 10% now (15 of 157 episodes)
  • Vibe coding No clear trend9% before, 4% now (7 of 157 episodes)
  • Computer use No clear trend9% before, 5% now (8 of 157 episodes)

See all 37 trends →

Who said it first

Shows in the same week are tied, and a later show may be reacting to the same news.

Astra. First heard in our archive, counting any mention: the week ending Sep 6, on All-In Podcast, Dwarkesh Podcast, How I AI, Lenny's Podcast and TBPN. 20VC with Harry Stebbings and Odd Lots each first said it 1 week later. 4 more shows first said it within 6 weeks of the first.

Predictions due next

Specific calls about the future, in the speaker's own words. Most have a deadline, and we grade each one against the evidence once the outcome is clear.

See all 92 predictions →

About these numbers. Transcripts are automatic captions, and the counts cover the shows we summarize, not every podcast. Trend numbers are plain counts. For predictions, a model writes a one-line summary from the speaker's exact words, and code checks those words against the transcript. The predictions page shows the words beside each call. Each page says how it was counted. The data is open: trends (JSON, CSV) and predictions (JSON).

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