Unsupervised Learning

Unsupervised Learning

Daniel Miessler
Maa Yhdysvallat
Genret Teknologia
Kieli EN-US
Jaksot 546
Viimeisin 31.08.2026

Unsupervised Learning explores ideas and trends in cybersecurity, national security, AI, technology, and culture. Host Daniel Miessler discusses how to upgrade ourselves to be ready for what's coming. The podcast blends analysis of current events with practical advice for personal improvement. It aims to help listeners understand the intersection of these fields and prepare for future challenges.

Jaksot

  • The Missing Piece Is Ideal State 31.08.2026 20min
    📝 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/upgradeSee omnystudio.com/listener for privacy information.
  • The Different Games OpenAI and Anthropic Are Playing 14.08.2026 3min
    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/upgradeSee omnystudio.com/listener for privacy information.
  • Debating the Morality of Dario Amodei 09.07.2026 1t 14min
    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-YoE9ykEBecome a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.
  • Rethinking AI Harnesses 09.07.2026 12min
    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/LifeOSBecome a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.
  • Why We Need Some AI Model Controls 09.07.2026 36min
    My argument for why we need some AI model controls.Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.
  • AI Predicts the Text of Answers 03.06.2026 8min
    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/upgradeSee omnystudio.com/listener for privacy information.
  • Most Companies Aren't Anywhere Near Ready for AI 03.05.2026 5min
    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/upgradeSee omnystudio.com/listener for privacy information.
  • We're All Building a Single Digital Assistant 15.04.2026 32min
    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/upgradeSee omnystudio.com/listener for privacy information.
  • Why AI Will Replace Knowledge Workers 21.03.2026 1t 16min
    A longer form discussion on exactly how and why AI will replace knowledge workers.Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.
  • Why I Believe in SOTA Models Over Custom Ones 11.03.2026 1min
    I think the future is cheaper and Open Source SOTA models combined with context, not custom, narrow models.Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.
  • AI Quality Inversion 06.03.2026 1min
    A troubling thought about what we will think about high-quality content in the future. Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.
  • The Great Transition 28.02.2026 1t 24min
    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/upgradeSee omnystudio.com/listener for privacy information.
  • Starting 2026 30.01.2026 25min
    A welcome back and early entry into 2026.  Sponsored by: Knocknoc!Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.
  • Judge AI based on Output, Not Mechanism 22.11.2025 6min
    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/upgradeSee omnystudio.com/listener for privacy information.
  • Humans Need Entropy 16.11.2025 4min
    How humans and AI models both share the weakness of deterioration without novel inputs. Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.
  • Why I Think Karpathy is Wrong on the AGI Timeline 20.10.2025 9min
    Karpathy is confusing LLM limitations with AI system limitations, and that makes all the difference. Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.
  • Novelty Exploration vs. Pattern Exploitation 15.10.2025 3min
    How going from exploration to exploitation can help you as both a consumer and creator of everything.Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.
  • Magnifying Time 14.10.2025 6min
    Some thoughts on how novelty and attention magnify the time that we have. Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.
  • A Conversation With Harry Wetherald CO-Founder & CEO At Maze 22.09.2025 35min
    ➡ 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 ManagementWhy 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 VelocityHow 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 SecurityWhy 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 FirstHow 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 MinutesWhy 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 Background01:07 – The Real Problem: Remediation vs. Prioritization04:31 – Breaking Down Vulnerability Context and Threat Intel05:46 – Connecting Vulnerabilities to Developers and Workflows08:01 – Why Traditional Vulnerability Management Fails10:29 – Startup Lessons and The State of AI Agents13:26 – DARPA’s AI Cybersecurity Competition14:29 – System Design: Deterministic Code vs. AI16:05 – How the Product Works and Data Sources18:01 – AI as “Extra Eyes and Hands” in Security20:20 – Breaking Barriers: Rethinking Scale with AI23:22 – Building World Models for Defense (and Attack)25:22 – Attackers Move Faster: Why Context Matters27:04 – Phishing at Scale with AI Agents31:24 – Shrinking Windows of Vulnerability: From Days to Minutes32:47 – What’s Next for Harry’s Work34:13 – Closing ThoughtsBecome a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.
  • A Conversation With Grant Lee CO-Founder & CEO At Gamma 18.09.2025 21min
    ➡ 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 StoriesWhy presentations should begin with narrative flow and core ideas, not pre-existing slide templates. Gamma enables creators to design around the message rather than being trapped by the format. AI as Your Presentation PartnerHow Gamma acts like a personal design expert—adjusting layouts, visuals, and style in real time—similar to having a world-class presentation coach and designer by your side. Idea Propagation Beyond SlidesWhy Gamma isn’t just about “slides,” but about propagating ideas in the right medium: presentations, video overlays, mobile-first content, or even context-based imagery and clips. The Future of GammaWhere the platform is headed in the next few years, and how AI-driven storytelling will redefine the way we share ideas across industries. Subscribe to the newsletter:https://danielmiessler.com/subscribe Join the UL community:https://danielmiessler.com/upgrade Follow on X:https://x.com/danielmiessler Follow on LinkedIn:https://www.linkedin.com/in/danielmiessler Chapters: 00:00 – Introduction to Unsupervised Learning00:17 – Welcome Grant and Gamma’s Background01:31 – AI Trends Driving Presentation Innovation03:20 – Story First: Rethinking Workflow Beyond Slides04:29 – Building Narrative Flow Before Design07:42 – Gamma as an AI Presentation Partner09:43 – What Gamma Does Differently from Other Tools12:27 – Idea Propagation: Matching Message, Medium, and Audience13:23 – Enhancing Presentations with Images, Clips, and Context15:15 – Current Graphics and Animation Options17:03 – Most Popular and Favorite Features in Gamma18:05 – What’s Coming Soon in Gamma19:08 – The Future of Idea Propagation with AI20:46 – Where to Learn More About Gamma21:21 – Closing ThoughtsBecome a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

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