Unsupervised Learning

I went on a walk and ended up connecting three things I've been thinking about: evolution, LitRPG, and personal AI harnesses. Why listening to The Primal Hunter keeps getting me excited to work on my own goals, and how a personal AI harness is your own LitRPG system. Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.

📝 Theo put out a video saying you should turn off Claude Code's memory, and it triggered me enough to record a response. My argument: the real problem with all AI is the gap between what's in your head and what the AI knows you want. I walk through how LifeOS closes that gap with the Ideal State Artifact, one document that works as both the build spec and the testing harness, and show the skill system and blogging pipeline that run on it. Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.

Anthropic is going after the enterprise operations layer; OpenAI wants to be everyone's personal agent. Both are multi-trillion-dollar markets, and they barely overlap. Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.

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 Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.

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 Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.

My argument for why we need some AI model controls. Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.

A logical argument and demonstration of how AI has one type of understanding while lacking another. https://aiunderstands.ai Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.

Most Companies Aren't Anywhere Near Ready for AI. It's not that companies aren't using AI—it's that they can't. Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.

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. Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.

A longer form discussion on exactly how and why AI will replace knowledge workers. Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.

I think the future is cheaper and Open Source SOTA models combined with context, not custom, narrow models. Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.

A troubling thought about what we will think about high-quality content in the future. Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.

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. Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.

A welcome back and early entry into 2026. Sponsored by: Knocknoc! Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.

How we can use an output-based system to judge whether or not different kinds of technology achieve understanding or intelligence. Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.

How humans and AI models both share the weakness of deterioration without novel inputs. Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.

Karpathy is confusing LLM limitations with AI system limitations, and that makes all the difference. Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.

How going from exploration to exploitation can help you as both a consumer and creator of everything. Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.

Some thoughts on how novelty and attention magnify the time that we have. Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.

➡ 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 Vulnerability Management Why remediation—not just prioritization—remains the toughest challenge, and how AI can help bridge the gap between vulnerabilities and the developers who need to fix them. Context, Ownership, and Velocity How linking vulnerabilities to the right applications and teams inside their daily tools (like GitHub) reduces friction, speeds up patching, and improves security without slowing developers down. AI Agents and the Future of Security Why we should think of AI agents as “extra eyes and hands,” and how they’re reshaping everything from threat detection to system design, phishing campaigns, and organizational defense models. Attackers Move First How attackers are already building unified world models of their targets using AI, and why defenders need to match (or exceed) this intelligence to stay ahead. From Days to Minutes Why the tolerance for vulnerability windows is shrinking fast, and how automation and AI are pushing us toward a future where hours—or even minutes—make the difference. Subscribe to the newsletter at: https://danielmiessler.com/subscribe Join the UL community at: https://danielmiessler.com/upgrade Follow on X: https://x.com/danielmiessler Follow on LinkedIn: https://www.linkedin.com/in/danielmiessler Chapters: 00:00 – Welcome and Harry’s Background 01:07 – The Real Problem: Remediation vs. Prioritization 04:31 – Breaking Down Vulnerability Context and Threat Intel 05:46 – Connecting Vulnerabilities to Developers and Workflows 08:01 – Why Traditional Vulnerability Management Fails 10:29 – Startup Lessons and The State of AI Agents 13:26 – DARPA’s AI Cybersecurity Competition 14:29 – System Design: Deterministic Code vs. AI 16:05 – How the Product Works and Data Sources 18:01 – AI as “Extra Eyes and Hands” in Security 20:20 – Breaking Barriers: Rethinking Scale with AI 23:22 – Building World Models for Defense (and Attack) 25:22 – Attackers Move Faster: Why Context Matters 27:04 – Phishing at Scale with AI Agents 31:24 – Shrinking Windows of Vulnerability: From Days to Minutes 32:47 – What’s Next for Harry’s Work 34:13 – Closing Thoughts Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.