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Armstrong & Getty On Demand

A&G Replay Wednesday Hour Three

Armstrong & Getty On Demand

iHeartPodcasts

News, Daily News, Society & Culture

4.63.5K Ratings

🗓️ 26 November 2025

⏱️ 36 minutes

🧾️ Download transcript

Summary

The A&G Replay on November 26, 2025, Hour 3 contains:

  • AI Possibilities and skeptics
  • Britain's economy damaged by climate change
  • Check Up at The Heritage Foundation
  • Japanese Bears/ A&G Pickleball Paddles

Stupid Should Hurt: https://www.armstrongandgetty.com/

See omnystudio.com/listener for privacy information.

Transcript

Click on a timestamp to play from that location

0:00.0

This is an I-Heart podcast.

0:02.5

Guaranteed Human.

0:14.7

Broadcasting live from the Abraham Lincoln Radio Studio

0:18.3

at the George Washington Broadcast Center.

0:20.8

Jack Armstrong and Joe Getty.

0:23.1

Armstrong and Getty.

0:24.7

And now here's Armstrong and Getty.

0:32.1

Not live. We're not here. It's the Armstrong and Getty replay.

0:36.1

But what we have for you is delicious,

0:38.6

a collection of some of our best stuff. You can hear more, of course, on our podcast, Armstrong and

0:43.1

Getty on demand. And hey, get through your Christmas shopping list at the Armstrong and Getty

0:47.2

super store, shirts, hoodies, and much more. So now enjoy the Armstrong and Getty replay.

0:53.2

So I came across this and substack yesterday from this guy named

0:55.8

Timothy Lee, who I do not know, but his article was he writes about AI for a living. And his

1:02.3

headline was AI skeptics and AI boosters are both wrong. And I gave that a look. And everybody's

1:10.5

guessing to a certain extent here. but I just thought this was an interesting

1:13.9

take I hadn't heard before. Earlier this month, he writes, I attended an AI conference

1:19.5

called The Curve in Berkeley, California, just a few miles from where we are. A lot of people

1:24.9

there were AGI-pilled, he calls it. For example, I participated in a

1:29.7

role-playing exercise organized by this dude who argues that AI systems will soon achieve

1:36.0

human-level intelligence, then they will rapidly improve themselves leading to superhuman

1:42.2

AI capabilities and an extreme acceleration of scientific discovery and economic growth.

...

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