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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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