Unsupervised Learning

Daniel Miessler
  • 4.6(135개의 평가)
  • 과학 기술
  • 주 2회 업데이트

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.

  1. 10월 20일

    Why I Think Karpathy is Wrong on the AGI Timeline

    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.

    10분

  2. 10월 15일

    Novelty Exploration vs. Pattern Exploitation

    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.

    4분

  3. 10월 14일

    Magnifying Time

    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.

    7분

  4. 9월 22일

    A Conversation With Harry Wetherald CO-Founder & CEO At Maze

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

    35분

  5. 9월 18일

    A Conversation With Grant Lee CO-Founder & CEO At Gamma

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

    22분

  6. 9월 10일

    UL NO. 497: STANDARD EDITION | More NPM Shenanigans, I Open Sourced Kai, Blood Work Results, Finding Vulns in a 10-line Prompt, and more...

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

    37분

  7. 9월 5일

    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...

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

    1시간 3분
  8. A Conversation with Michael Brown About Designing AI Systems

    8월 22일

    A Conversation with Michael Brown About Designing AI Systems

    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 and “best of both worlds” approaches outperform pure LLM-heavy -designs -How large language models performed in patch generation and fuzzing support -The risks of compounding errors in AI pipelines — and how to avoid them -Broader lessons for applying AI in cybersecurity and beyond If you’re interested in AI, security engineering, or system design at scale, this conversation breaks down what worked, what didn’t, and where the field is heading. 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 Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.

    50분
모두 보기(532개)

4.6
최고 5점
135개의 평가

소개

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.

정보

  • 제작진
    Daniel Miessler
  • 방송 연도
    2016년 - 2025년
  • 에피소드
    532
  • 등급
    무삭제판
  • 저작권
    © 2025 Daniel Miessler
  • 웹사이트 보기
    Unsupervised Learning

좋아할 만한 다른 항목