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* 00:00:00 - Introduction
* 00:01:36 - Table of Contents
* 00:05:24 - Language Models Offer Mundane Utility
* 00:06:46 - Heads In The Sand
* 00:10:32 - Huh, Upgrades
* 00:11:27 - Mythos
* 00:15:13 - What’s In A Name
* 00:17:59 - On Your Marks
* 00:19:17 - Choose Your Fighter
* 00:20:00 - Get My Agent On The Line
* 00:20:39 - Deepfaketown and Botpocalypse Soon
* 00:28:02 - Cyber Lack Of Security
* 00:32:45 - Fun With Media Generation
* 00:33:27 - A Young Lady’s Illustrated Primer
* 00:34:33 - They Took Our Jobs
* 00:41:48 - After They Take Our Jobs
* 00:43:18 - Gell-Mann Amnesia
* 00:45:31 - Get Involved
* 00:47:30 - In Other AI News
* 00:50:49 - Show Me the Money
* 00:55:28 - Quiet Speculations
* 00:56:42 - Explaining Persistent Model Parity
* 01:00:38 - Take a Moment
* 01:06:12 - OpenAI: The Histories
* 01:11:33 - The Department of AI War
* 01:18:35 - Department of AI Solidarity
* 01:19:41 - Writing For The AIs
* 01:22:43 - Quickly, There’s No Time
* 01:22:46 - The Quest for Sane Regulations
* 01:24:04 - Chip City
* 01:25:53 - You Received The Federal Framework
* 01:26:39 - The Week in Audio
* 01:30:01 - Rhetorical Innovation
* 01:33:54 - I Am The Very Human Of A Frontier Language Model
* 01:44:22 - Aligning a Smarter Than Human Intelligence is Difficult
* 01:47:45 - Aligning Fake Graphs Can Also Be Difficult
* 01:57:12 - The Lighter Side
https://open.substack.com/pub/thezvi/p/ai-162-visions-of-mythos?utm_campaign=post-expanded-share&utm_medium=web
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