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Take One Daf Yomi

Zevachim 109 - Cracking the Code

Take One Daf Yomi

Tablet Magazine

Judaism, Religion & Spirituality

4.8565 Ratings

🗓️ 1 January 2026

⏱️ 15 minutes

🧾️ Download transcript

Summary

On today’s page, Zevachim 109, the Talmud models how precision dissolves contradiction. We highlight an animated explainer from the YouTube channel of Joshua Waxman — watch it here. But before we get to the explainer, we stop to examine the explainer itself, with Professor Waxman joining us to discuss AI experimentation, its limits, and why human judgment still matters. What happens when clarity comes not from new answers, but from better questions? Listen and find out. You can visit Professor Waxman's website: girsology.com For the previous version of the explainer referenced in the episode, you can go here.

Transcript

Click on a timestamp to play from that location

0:00.0

Hey there and welcome back to Take One, the podcast that brings you just one fantastic page of Talmud each day.

0:25.5

And as we read today's page Zvachim 109, it's the first day of the new year, 26.

0:32.8

So we thought we would do something a little bit different.

0:36.0

Start the year off on a note of gratitude.

0:39.3

Recently, we came across the YouTube channel of Yeshiva University Professor Joshua Waxman,

0:44.3

which so beautifully and eloquently breaks down the very complicated question at the heart of today's stuff.

0:51.4

So instead of offering our take on Zvachim 109, it is our pleasure to highlight

0:56.7

instead Professor Waxman's. We'll put the link to the video itself in the show notes, so

1:01.5

watch it if you would like to enjoy the truly delightful animation Professor Waxman has created

1:07.5

to go along with this narration. And now, with a note of admiration, and to kick

1:12.8

off the new year by singing the praises of worthy teachers, here is Professor Joshua Waxman's

1:18.7

take on Zvachim 109. Whoa, whoa, whoa, hang on there a second, L. Hey, folks, it's producer

1:26.1

Josh Cross. When I emailed Professor Waxman to make sure he was good with us running his audio,

1:31.3

he basically said that we shouldn't.

1:33.2

But it wasn't for any reason we could have guessed.

1:35.7

Basically what he said was the video was AI generated.

1:39.1

What he's been doing is experimenting with AI,

1:41.8

specifically Google's Notebook LM,

1:44.1

and that the prompts that led to the video that we were going to use were old and not as good

1:50.3

as the ones that he uses now.

1:51.8

Additionally, he's put up a new version that he thinks is a lot better.

1:55.5

We'll get to that in a minute.

...

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