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Daniel Miessler

Unsupervised Learning is about ideas and trends in Cybersecurity, National Security, AI, Technology, and Culture—and how best to upgrade ourselves to be ready for what's coming.

Unsupervised Learning

A debate with Zack Korman on the morality of Dario Amodei specifically, and Anthropic in general. Zack's version of the video: https://youtu.be/mQ9-YoE9ykE

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Debating the Morality of Dario Amodei

Why we should think of the AI harness not as a coding tool, but as an Intent Engineering system that manages your entire life — a LifeOS. https://github.com/danielmiessler/LifeOS

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Rethinking AI Harnesses

My argument for why we need some AI model controls.

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Why We Need Some AI Model Controls

A logical argument and demonstration of how AI has one type of understanding while lacking another.
 
https://aiunderstands.ai 

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AI Predicts the Text of Answers

Most Companies Aren't Anywhere Near Ready for AI. It's not that companies aren't using AI—it's that they can't.

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Most Companies Aren't Anywhere Near Ready for AI

There's tons of confusion about what we're all building towards with Personal AI. Are we building Agents? AI Harnesses? To what end? In this video I lay why I think we're all heading towards a single place that we should start getting ready for now. I think getting this early will put you 1-3 years ahead of everyone.

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We're All Building a Single Digital Assistant

A longer form discussion on exactly how and why AI will replace knowledge workers.

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Why AI Will Replace Knowledge Workers

I think the future is cheaper and Open Source SOTA models combined with context, not custom, narrow models.

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Why I Believe in SOTA Models Over Custom Ones

A troubling thought about what we will think about high-quality content in the future. 

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AI Quality Inversion

There are a bunch of different transitions happening right now—all at the same time, all (I think) heading in the same direction. Here is a long-form exploration of the various pieces.

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The Great Transition

Gooligan, Korean Game Hacking Law, DoubleFlag Experian Hack, Georgia Tech Attribution Research, Amazon's re:Invent Conference Highlights, recommended links, and more…

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Unsupervised Learning: No. 56

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