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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 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

A welcome back and early entry into 2026. 
 
Sponsored by: Knocknoc!

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Starting 2026

How we can use an output-based system to judge whether or not different kinds of technology achieve understanding or intelligence. 

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Judge AI based on Output, Not Mechanism

How humans and AI models both share the weakness of deterioration without novel inputs. 

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Humans Need Entropy

Karpathy is confusing LLM limitations with AI system limitations, and that makes all the difference. 

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Why I Think Karpathy is Wrong on the AGI Timeline

How going from exploration to exploitation can help you as both a consumer and creator of everything.

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Novelty Exploration vs. Pattern Exploitation

Some thoughts on how novelty and attention magnify the time that we have. 

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Magnifying Time

Peak Prevention at AppSec Cali, Austrian Hotel Ransomware, Russian FSB Drama, WordPress Issues, AV Conflicts, Uber Pays Another Company's Bounty, Data Science, Rules for Rulers…

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Unsupervised Learning: No. 63

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