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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UL NO. 486: STANDARD EDITION: Fully Automated AI Malware (Binary and Web), My Debate with Marcus Hutchins on AI, The 'Did You Notice?' Psyop, The METR AI Metric for Longterm Tasks, and more...

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STANDARD EDITION: Netflix RCE, My Current AI Stack, All-in on Claude Code, and more...

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UL NO. 484: STANDARD EDITION: OpenAI's Malicious AI Report, Disappointed with WWDC, AI's First Actual Science Breakthrough, and more...

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A Chrome 0-Day, Meta Automates Security Assessments, New Essays, My New Video on Hacking with AI, Ukraine's Asymmetrical Attack, Thoughts on My AI Skeptical Friends, The Dangers of Winning the Wrong Game, and more...

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Sponsored by Vanta. Vanta takes the busywork out of GRC so you can focus on what actually matters—improving your security, not chasing compliance. https://ul.live/vanta

This isn’t just another AI podcast. It’s about the deeper shift that’s happening in cybersecurity—away from individual tools and dashboards, and toward real-time, comprehensive world models of what we’re trying to protect or attack. I'll walk through how I came to this idea, what it means for security assessments, red teaming, vuln management, and beyond—and why context, not AI, is the actual revolution.

📽️Check out the full video here: https://youtu.be/UwTTcka1Wd8

Topics covered:
Why the core problem in security is organizational knowledge
Unified Entity Context (UEC) as the future architecture
Modular, AI-augmented security stacks
Why every attacker and defender will soon be running one
How this flips the AI conversation on its head

If you care about where hacking, automation, and AI are headed—this is the blueprint.

📬Subscribe for updates about trends and ideas in Cybersecurity, National Security, AI, Technology, and Society👇🏼
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AI Finds an 0-Day!, Postman Leaking Secrets, High Agency Mental Model, My Unified Entity Context Video, Github MCP Leaks Private Repos, Google vs. OpenAI vs. Apple on AI Vision, and more...

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🔹 Thanks to ProjectDiscovery for sponsoring today’s video. I've been using their tools like Nuclei and Subfinder for years, and now they’ve brought that power to the cloud with a full vulnerability management platform.

➡ Try it yourself at https://ul.live/PD1

For over a decade, I've been exploring how AI and context intersect—and I believe Unified Entity Context (UEC) is the key to unlocking what comes next.

In this podcast, I walk through my journey—from security assessments and AI-powered tools to building real-world demos like Alma and Threshold. The core idea? That most hard decisions are only hard because we lack the necessary context. With rich, accurate, and fresh context, even complex decisions become simple.

If you're building in security, investing in AI, or just trying to understand where things are heading, this concept might reframe everything.

Check out the full video here: https://youtu.be/IHUqk90ch7I

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