In this post, Gwern argues for “Guardian Angels”: deeply personalized LLMs designed not as generic chatbots, but as trusted extensions of a specific person’s values, style, preferences, and goals. It’s a wide-ranging essay about productivity, security, AI-mediated work, and what it might take for future AI systems to genuinely amplify individuals rather than merely replace or manipulate them.

* 00:00:00 - Introduction

* 00:06:27 - Chatbot Incentives Are Misaligned

* 00:10:03 - Chatbot Problems

* 00:10:44 - Mode-Collapse

* 00:13:09 - Laziness

* 00:13:52 - Brittle Because Fast

* 00:16:41 - Too Helpful

* 00:18:14 - Amnesiac

* 00:20:03 - Chatbot Fixes

* 00:20:07 - Cooperative RL

* 00:22:47 - Continual Learning

* 00:22:50 - Catastrophic Forgetting

* 00:23:48 - Generalizing

* 00:26:32 - Creative Writing

* 00:30:03 - Over-Parameterizing

* 00:30:30 - Extremely Large LMs

* 00:30:57 - Active Learning

* 00:33:14 - Preference Learning

* 00:36:10 - Brain Imitation Learning

* 00:37:05 - Personality Emulation

* 00:39:01 - Guardian Angels

* 00:40:48 - Principles

* 00:42:07 - Anti-Principles

* 00:47:06 - UX

* 00:48:23 - Use-Cases: Politics & Politics

* 00:51:17 - Hardware

* 00:52:57 - Cost

* 00:55:11 - Organization

* 00:56:18 - Startup Business Model

* 00:57:43 - Competition

* 01:00:20 - Initial Steps

* 01:01:35 - GBT

* 01:04:18 - For Writing

* 01:06:44 - Data Augmentation

https://gwern.net/guardian-angel

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