Daniel Miessler is a cybersecurity and AI engineer turned founder, based in the San Francisco Bay Area. He shares insights on cybersecurity, artificial intelligence, technology, and human behavior through essays, tutorials, and technical content on his blog.
91 articles from this blog
A speculative blog post predicting that a universal 'Last Algorithm' for AI problem-solving could emerge in 2026 through advanced iterative loops.
The article argues that the perceived addiction to AI coding tools like Claude Code is actually an addiction to the empowering feeling of creation and rapid application development.
A retrospective analysis of AI predictions made since 2016, examining what was right, wrong, and still unfolding in the field of artificial intelligence.
A look at key AI trends for 2026, focusing on verifiability, continuous agents, and vertical problem-solving.
Predicts AI-driven shifts in cybersecurity for 2026, focusing on agentic platforms, secure coding, and automated asset management.
How AI is enabling individuals to build custom software for personal use, replacing paid apps and unlocking new creative potential.
A 9-tier framework for measuring personal AI progress, from basic chatbots to advanced AI companions with deep context and autonomy.
Argues for a new type of cybersecurity product focused on communicating safety and business value, not just technical metrics.
Anthropic's Claude Code ecosystem, like Apple's iPhone, gives it a strategic advantage over competitors focused solely on AI models.
A critique of Cory Doctorow's AI essay, arguing it misunderstands AI's potential impact and gives harmful advice, while praising the 'Reverse Centaur' analogy.
A developer shares how they independently built two features for their personal AI system that were later released by Anthropic for Claude Code.
Analyzes data showing autonomous vehicles significantly reduce crashes and injuries compared to human drivers, based on Waymo's safety performance.
A tutorial on fixing a slow Mac by deleting large iCloud Drive cache files in the FileProvider directory to restore system performance.
Argues that prompt injection is a vulnerability in AI systems, contrasting with views that see it as just a delivery mechanism.
A rebuttal to claims that sharing prompt injection strings is harmful, arguing for transparency in AI red teaming and cybersecurity.
A developer argues for using AI as a 'tutor' for critical thinking tasks, not just a tool to do the work, to maintain and improve core cognitive skills.
Explores the paradoxical future where AI-generated content is identified by its high quality, not its flaws, and its societal implications.
A technical tutorial on building a smart web scraping system that automatically escalates through four tiers of complexity until it succeeds.
Argues that AI should be judged by its outputs and capabilities, not by debates over its internal mechanisms or consciousness.
Argues that AI's real challenge isn't data scarcity, but the vast amount of generated data that goes unanalyzed, presenting an opportunity for AI.
