Unsupervised Learning
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.
Episodes
A logical argument and demonstration of how AI has one type of understanding while lacking another.
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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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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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A longer form discussion on exactly how and why AI will replace knowledge workers.
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I think the future is cheaper and Open Source SOTA models combined with context, not custom, narrow models.
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A troubling thought about what we will think about high-quality content in the future.
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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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A welcome back and early entry into 2026.
Sponsored by: Knocknoc!
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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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How humans and AI models both share the weakness of deterioration without novel inputs.
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Karpathy is confusing LLM limitations with AI system limitations, and that makes all the difference.
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How going from exploration to exploitation can help you as both a consumer and creator of everything.
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Some thoughts on how novelty and attention magnify the time that we have.
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➡ Stay Ahead of Cyber Threats with AI-Driven Vulnerability Management with Maze:
https://mazehq.com/
In this conversation, I speak with Harry about how AI is transforming vulnerability management and application security. We explore how modern approaches can move beyond endless reports and generic fixes, toward real context-aware workflows that actually empower developers and security teams.
We talk about:
The Real Problem in Vu...
➡ Upgrade your presentations with Gamma, the best AI presentation maker: https://gamma.app
In this conversation, I speak with Grant, co-founder of Gamma, about how their platform is transforming presentations and idea-sharing. Instead of starting with slides, Gamma helps you focus on the story first—then builds the visuals, structure, and delivery around it using AI.
We talk about:
From Slides to Stories
Why presentations ...
UL NO. 497: STANDARD EDITION | More NPM Shenanigans, I Open Sourced Kai, Blood Work Results, Finding Vulns in a 10-line Prompt, and more...
Read this episode online: https://newsletter.danielmiessler.com/p/ul-497
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UL NO. 496: STANDARD EDITION | New Video on Building my Personal AI System, Anthropic Reveals One-person Hacking Company using Claude, Pentagon Says China Keeps Penetrating, and more...
Read this episode online: https://newsletter.danielmiessler.com/p/ul-496
Personal AI Video I'm so excited about
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In this episode of Unsupervised Learning, I sit down with Michael Brown, Principal Security Engineer at Trail of Bits, to dive deep into the design and lessons learned from the AI Cyber Challenge (AIxCC). Michael led the team behind Buttercup, an AI-driven system that secured 2nd place overall.
We discuss:
-The design philosophy behind Buttercup and how it blended deterministic systems with AI/ML
-Why modular architectures...
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Read this episode online: https://newsletter.danielmiessler.com/p/ul-494
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➡ Prevent Risk At The Source with Cortex Cloud: https://www.paloaltonetworks.com/cortex/cloud/application-security
In this sponsored conversation, I speak with Sarit Tager, VP of Product Management at Palo Alto Networks, about how Prisma Cloud and their new ASPM solution are transforming cloud and application security by unifying data and deeply integrating business context into AppSec workflows.
We talk about:
Unifying AppSec, Clo...
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