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
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...
UL NO. 489: STANDARD EDITION | My personal toolchain updates, Google tracking through DuckDuckGo, Anthropic’s Pentagon Deal, Grok4 NSFW, Substack Crushes WSJ, and more...
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UL NO. 488: STANDARD EDITION | Google Granting Confusing Access to Gemini, A New Favorite Creator, Russia's new Autonomous Drones, Claude Code Madness and Neovim Config, and more...
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UL NO. 487: STANDARD EDITION: Iranian Critical Infra Attacks, Insane Recent Productivity, A Chinese Mosquito Drone, Marcus's Response to Our AI Debate, "Context Engineering" Ain't It, and more...
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Marcus and I debate AIs capabilities from nearly polar opposite ends. He thinks it's basically autocomplete, and I think it's the most important tech we've ever built as humans.
It was a fantastic, and very civil conversation, so thanks to Marcus for that, and we're already planning on Part 2.
This two-hour discussion covers:
🧠 The real risks of AI vs. the imagined ones
🔐 How security researchers view AI's capabilities
🤖 T...
UL NO. 486: STANDARD EDITION: Fully Automated AI Malware (Binary and Web), My Debate with Marcus Hutchins on AI, The 'Did You Notice?' Psyop, The METR AI Metric for Longterm Tasks, and more...
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STANDARD EDITION: Netflix RCE, My Current AI Stack, All-in on Claude Code, and more...
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Read this episode online: https://newsletter.danielmiessler.com/p/ul-485
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UL NO. 484: STANDARD EDITION: OpenAI's Malicious AI Report, Disappointed with WWDC, AI's First Actual Science Breakthrough, and more...
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A Chrome 0-Day, Meta Automates Security Assessments, New Essays, My New Video on Hacking with AI, Ukraine's Asymmetrical Attack, Thoughts on My AI Skeptical Friends, The Dangers of Winning the Wrong Game, and more...
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