Unsupervised Learning
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.
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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... You are currently listening to the Standard version of the podcast, consider upgrading and becoming a member to unlock the full ve
🔹 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 i
What really happened at RSA 2024? Daniel Miessler and Jason Haddix break it down. Fresh off a whirlwind RSA week, Daniel sits down with Jason Haddix (Arcanum Information Security) to talk about what mattered—beyond the show floor noise. From off-site innovation summits to real-world AI implementation, this deep dive co
➡ Get full visibility, risk insights, red teaming, and governance for your AI models, AI agents, RAGs, and more—so you can securely deploy AI powered applications with ul.live/mend In this episode, I speak with Bar-El Tayouri, Head of AI Security at Mend.io, about the rapidly evolving landscape of application and AI se
In this episode, I break down what I believe is the emerging structure of the AI-powered world we're all building—consciously or not. I call it the “Four A’s”: Assistants, APIs, Agents, and Augmented Reality. This framework helps make sense of recent developments and where it’s all headed. I talk about: 1. Digital Assi
In this episode, I walk through a Fabric Pattern that assesses how well a given model does on a task relative to humans. This system uses your smartest AI model to evaluate the performance of other AIs—by scoring them across a range of tasks and comparing them to human intelligence levels. I talk about: 1. Using One AI
