Unsupervised Learning

➡ 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.

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Chapters:

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 Thoughts

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

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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 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.

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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, 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.

 

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Chapters:

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 Together

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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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Read this episode online: https://newsletter.danielmiessler.com/p/ul-489

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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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Read this episode online: https://newsletter.danielmiessler.com/p/ul-488

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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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Read this episode online: https://newsletter.danielmiessler.com/p/ul-487

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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
🤖 The blurry line between useful and dangerous automation
⚖️ Bias, alignment, and who gets to control intelligence
📉 Whether AI might ultimately collapse under its own complexity

Marcus 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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