Unsupervised Learning
- Épisodes
- 548
- Parution
- toutes les deux semaines
- Dernier épisode
- 17 Sep 2026
À propos du podcast
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.
Épisodes 548
Evolution, Lit RPG and AI Harnesses
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 …
Notes de l’épisode
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
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The Missing Piece Is Ideal State
📝 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 …
Notes de l’épisode
📝 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.
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The Different Games OpenAI and Anthropic Are Playing
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 …
Notes de l’épisode
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
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Debating the Morality of Dario Amodei
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 …
Notes de l’épisode
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
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Rethinking AI Harnesses
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 …
Notes de l’épisode
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.
Why We Need Some AI Model Controls
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
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 …
Notes de l’épisode
A logical argument and demonstration of how AI has one type of understanding while lacking another.
Become a Member: https://danielmiessler.com/upgrade
See omnystudio.com/listener for privacy information.
Most Companies Aren't Anywhere Near Ready for AI
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
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 …
Notes de l’épisode
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
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Why AI Will Replace Knowledge Workers
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
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
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
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 …
Notes de l’épisode
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.
Starting 2026
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
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 …
Notes de l’épisode
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.
Humans Need Entropy
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
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
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
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
➡ 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 …
Notes de l’épisode
➡ 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:
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https://danielmiessler.com/upgradeFollow on X:
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https://www.linkedin.com/in/danielmiesslerChapters:
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 ThoughtsBecome a Member: https://danielmiessler.com/upgrade
See omnystudio.com/listener for privacy information.
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 …
Notes de l’épisode
➡ 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 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 Partner
How 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 Slides
Why 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 Gamma
Where 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:
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https://danielmiessler.com/upgradeFollow on X:
https://x.com/danielmiesslerFollow on LinkedIn:
https://www.linkedin.com/in/danielmiesslerChapters:
00:00 – Introduction to Unsupervised Learning
00:17 – Welcome Grant and Gamma’s Background
01:31 – AI Trends Driving Presentation Innovation
03:20 – Story First: Rethinking Workflow Beyond Slides
04:29 – Building Narrative Flow Before Design
07:42 – Gamma as an AI Presentation Partner
09:43 – What Gamma Does Differently from Other Tools
12:27 – Idea Propagation: Matching Message, Medium, and Audience
13:23 – Enhancing Presentations with Images, Clips, and Context
15:15 – Current Graphics and Animation Options
17:03 – Most Popular and Favorite Features in Gamma
18:05 – What’s Coming Soon in Gamma
19:08 – The Future of Idea Propagation with AI
20:46 – Where to Learn More About Gamma
21:21 – Closing ThoughtsBecome a Member: https://danielmiessler.com/upgrade
See omnystudio.com/listener for privacy information.
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 …
Notes de l’épisode
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...
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 …
Notes de l’épisode
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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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) …
Notes de l’épisode
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:
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UL NO. 494: STANDARD EDITION | AI Finds a P1, I Missed Chartbeat So I Made My Own, XBow Open-Sources Their AI Bot, and more...
You are currently listening to the Standard version of the podcast, consider upgrading and becoming a member to unlock the full version and many other exclusive benefits here …
Notes de l’épisode
You are currently listening to the Standard version of the podcast, consider upgrading and becoming a member to unlock the full version and many other exclusive benefits here: https://newsletter.danielmiessler.com/upgrade
Read this episode online: https://newsletter.danielmiessler.com/p/ul-494
Subscribe to the newsletter at:
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A Conversation With Sarit Tager from Prisma Cloud
➡ 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 …
Notes de l’épisode
➡ 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, Cloud, and SOC into One Data Lake
How Palo Alto merged their products into a single system that consolidates runtime, code, identity, cloud, and SOC data, allowing for true context-aware risk prioritization and faster response times across the board.From Detection to Dynamic Prevention
Why the future of application security isn’t just about discovering vulnerabilities, but enforcing smart, context-based guardrails during development, CI/CD, and build processes to prevent issues before they reach production.AI-Powered Insight and the Future of Secure DevOps
How their system uses AI to analyze the full security posture, enrich findings, simulate attack paths, and recommend precise mitigations. The platform even helps guide security and engineering teams through better workflows, boosting velocity, and not blocking it.Subscribe to the newsletter at:
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https://www.linkedin.com/in/danielmiesslerChapters:
00:00 – Sarit’s Background and the Goal of Unifying Security Context
01:50 – Building a Single Data Lake for Cloud, SOC, and AppSec
04:28 – From Noise to Clarity: Fixing the Prioritization Problem in AppSec
06:47 – Using Business Context to Drive Risk-Based Decisions
10:18 – True App Ownership, Developer Velocity, and Aligning with Business Impact
13:12 – Continuous Discovery and Bringing External Signals Into One View
15:25 – Why App Grouping and Context-Rich Policies Increase Velocity
17:58 – How Attackers Are Already Building Their Own Unified Context (UEC)
20:45 – Prisma’s Control Points: IDE, PR, CI/CD, Image, Admission Control
21:56 – Bringing In Data From External Scanners and Enriching Coverage
24:23 – Ecosystem Signals, Query Language, and Intelligent Workflow Automation
25:05 – Closing Thoughts: Security and Developers Working TogetherBecome a Member: https://danielmiessler.com/upgrade
See omnystudio.com/listener for privacy information.
UL NO. 489: STANDARD EDITION | My personal toolchain updates, Google tracking through DuckDuckGo, Anthropic’s Pentagon Deal, Grok4 NSFW, Substack Crushes WSJ, and more...
UL NO. 489: STANDARD EDITION | My personal toolchain updates, Google tracking through DuckDuckGo, Anthropic’s Pentagon Deal, Grok4 NSFW, Substack Crushes WSJ, and more... You are currently listening to the …
Notes de l’épisode
UL NO. 489: STANDARD EDITION | My personal toolchain updates, Google tracking through DuckDuckGo, Anthropic’s Pentagon Deal, Grok4 NSFW, Substack Crushes WSJ, and more...
You are currently listening to the Standard version of the podcast, consider upgrading and becoming a member to unlock the full version and many other exclusive benefits here: https://newsletter.danielmiessler.com/upgrade
Read this episode online: https://newsletter.danielmiessler.com/p/ul-489
Subscribe to the newsletter at:
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https://danielmiessler.com/upgradeFollow on X:
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https://www.linkedin.com/in/danielmiesslerBecome a Member: https://danielmiessler.com/upgrade
See omnystudio.com/listener for privacy information.
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...
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... You are currently listening …
Notes de l’épisode
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...
You are currently listening to the Standard version of the podcast, consider upgrading and becoming a member to unlock the full version and many other exclusive benefits here: https://newsletter.danielmiessler.com/upgrade
Read this episode online: https://newsletter.danielmiessler.com/p/ul-488
Subscribe to the newsletter at:
https://danielmiessler.com/subscribeJoin the UL community at:
https://danielmiessler.com/upgradeFollow on X:
https://x.com/danielmiesslerFollow on LinkedIn:
https://www.linkedin.com/in/danielmiesslerBecome a Member: https://danielmiessler.com/upgrade
See omnystudio.com/listener for privacy information.
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...
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... You are …
Notes de l’épisode
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...
You are currently listening to the Standard version of the podcast, consider upgrading and becoming a member to unlock the full version and many other exclusive benefits here: https://newsletter.danielmiessler.com/upgrade
Read this episode online: https://newsletter.danielmiessler.com/p/ul-487
Subscribe to the newsletter at:
https://danielmiessler.com/subscribeJoin the UL community at:
https://danielmiessler.com/upgradeFollow on X:
https://x.com/danielmiesslerFollow on LinkedIn:
https://www.linkedin.com/in/danielmiesslerBecome a Member: https://danielmiessler.com/upgrade
See omnystudio.com/listener for privacy information.
An AI Debate with Marcus Hutchins
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 …
Notes de l’épisode
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
🤖 The blurry line between useful and dangerous automation
⚖️ Bias, alignment, and who gets to control intelligence
📉 Whether AI might ultimately collapse under its own complexityMarcus Hutchins is best known for stopping the WannaCry ransomware attack and brings a sharp, skeptical perspective to AI.
Marcus' Website: https://marcushutchins.com
Watch the interview on YouTube: https://youtu.be/I9-iD_rLRjA
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https://www.linkedin.com/in/malwaretech/
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