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.
In this episode of Unsupervised Learning, Daniel Miessler interviews Grant Lee, the founder of Gamma, a company focused on reimagining presentations. Grant discusses Gamma's mission to replace traditional tools like PowerPoint with an AI-powered platform that simplifies content creation and enhances idea propagation. H...
In episode 497 of Unsupervised Learning, Daniel Miessler shares personal health updates, including lab results indicating pristine metabolic function but suboptimal kidney function due to creatine and energy drink consumption. He discusses adjustments to his lifestyle to improve health metrics. Daniel provides updates ...
In this episode of Unsupervised Learning, Daniel Miessler discusses the release of his video on building a personal AI system using Claude code and his experience upgrading to a Keychron Q11 keyboard for ergonomic benefits. He also addresses a change in his newsletter strategy, replacing member essays with discounts on...
This episode of Unsupervised Learning features an interview with Michael Brown, a principal security engineer at Trail of Bits, who leads their AIML security research group. Brown discusses the design and concepts behind Buttercup, Trail of Bits' AI-driven system that took second place in the AI Cyber Challenge. He det...
In this episode of Unsupervised Learning, Daniel Miessler discusses a range of topics including his excitement about using AI to enhance his workflow and creativity, as well as his concerns about the potential negative impacts of AI on the job market. He introduces Daemon, a service he created to facilitate human conne...
In this episode of Unsupervised Learning, Daniel Miessler interviews Sarit Tager, VP of Product Management for Application Security and ASPM at Palo Alto Networks. Sarit discusses the merging of Prisma Cloud and Cortex into a unified data lake called Cortex Cloud, which aims to provide comprehensive security insights b...
In episode 489 of Unsupervised Learning, Daniel Miessler shares updates including a new developer joining the Fabric team and his experience using new tools like WhisperFlow and Zyte, while also weighing in on their security implications. The episode covers cybersecurity news such as Google tracking users despite DuckD...
In episode 488 of Unsupervised Learning, Daniel Miessler discusses recent updates in AI, cybersecurity, national security, technology, and society. A significant focus is on Claude Code and its potential as a proto-AGI, emphasizing its ability to perform complex tasks with the right context. Daniel shares his excitemen...
In this episode of Unsupervised Learning, Daniel Miessler shares his excitement about using tools like Claude Code and Cursor to significantly enhance his productivity, automating tasks and improving his website. He reflects on the broader implications of AI, contrasting the enthusiasm of those deeply engaged with thes...
This episode of Unsupervised Learning features a debate between the host and Marcus Hutchins, a malware researcher, on the topic of AI. The host argues that AI is a significant and growing force that will impact jobs and society, while Hutchins believes AI is overhyped and essentially just autocomplete. They discuss th...
In this episode of Unsupervised Learning, Daniel Miessler shares his insights on a range of topics including his personal AI infrastructure (PAI) and its modules, fabric extractions, and the importance of slow experience and magnifying human connection in the age of AI. He discusses AI's role in enhancing human capabil...
In this episode of Unsupervised Learning, Daniel Miessler shares his thoughts on a range of topics, starting with his anticipation for new noise-canceling earbuds and a blog post comparing Google I/O and Apple's WWDC. He expresses his long-standing preference for Apple's ecosystem, UI/UX design, and focus on security a...
In this episode of Unsupervised Learning, Daniel Miessler discusses his efforts to streamline content delivery, including reducing podcast editing and leveraging AI for cleanup. He highlights his new video on the future of hacking and essays on AI's impact on education and job replacement, as well as differing perspect...
In this monologue podcast, Daniel Miessler discusses his vision for the future of hacking, emphasizing the importance of "Unified Entity Context" (UEC). He argues that the future of both offensive and defensive hacking lies in maintaining exhaustive, accurate, and up-to-date world models of the entities being targeted ...
In this episode of Unsupervised Learning, Daniel Miessler discusses his plans to focus on shorter, more compact ideas in future podcast episodes, while still providing news coverage in audio format. He covers a range of topics, including AI's reasoning abilities, the 23andMe data breach, and cybersecurity vulnerabiliti...
This episode explores the concept of Unified Entity Context (UEC) and its potential to revolutionize various sectors by centralizing and contextualizing data for AI-driven decision-making. Daniel Miessler recounts his journey from security assessments to recognizing the importance of comprehensive context, highlighting...
This episode explores the key takeaways from RSA, focusing on the shift from generalized FUD to specific innovation observed at satellite events. Against the backdrop of RSA's crowded floor, Daniel Miessler and Jason Haddix highlight the value of smaller, topic-specific gatherings, such as the OpenAI Security Research ...
This episode explores the evolving landscape of AI security, focusing on the unique challenges and emerging solutions in application security. Bar-El Tayouri shares insights from his experience in game development, cybersecurity, and building a company specializing in cloud-native alert prioritization, now MEND Contain...
This episode explores the emerging AI ecosystem, arguing that it's coalescing around four key components: Assistants (DAs), APIs, Agents, and Augmented Reality (AR). Against the backdrop of recent advancements from companies like OpenAI and Anthropic, the speaker posits a model where personalized digital assistants, a...
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