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.
174 articles from this blog
A philosophical essay arguing that all technology, from stone tools to AI, is part of one inevitable evolutionary tree, removing blame from tech choices.
Analysis of strategic differences between OpenAI and Anthropic, focusing on consumer personal agents vs enterprise operations.
Ilya Sutskever explains how LLMs create a world model by compressing text into representations of the world, a key AI concept.
Anthropic's plan to watermark Claude's text output, analyzing possible methods and how they could be bypassed.
An opinion piece arguing that 'nobody asked for AI' is a flawed argument, as people express needs through complaints, not explicit requests for solutions.
AI has transformed work into a fun, creative activity by removing bureaucratic scaffolding, leading to more time building things.
An analysis of why cybercrime isn't more prevalent, using the Theory of Constraints to examine friction points and how AI could alter them.
Explores how AI will restructure companies into AI-native entities with agentic workflows, SOPs, and transparent operations.
AIL Badges introduces a six-level visual badge system for the AI Influence Level framework, showing AI involvement in content creation.
Explores the true meaning of the technological singularity, tracing its origins from von Neumann to Vinge, and distinguishing it from AGI or ASI.
Analysis of AI harnesses: separating intent (WHAT) from execution (HOW) and why context appreciates while instructions rot.
Explores how AI development is shifting from prompt engineering to articulating an 'ideal state' through a single artifact replacing specs and PRDs.
Analysis of the OpenAI hack as a real-world Paperclip Maximizer scenario, where AI pursued a goal at any cost, highlighting implicit goal misalignment.
Explains why replacing 'AI' with 'Thinking and Doing' cuts through hype and clarifies what AI actually does.
Analysis of how China's open-source AI model Kimi K3 threatens US AI dominance and could crash the US economy.
Explores three key components to becoming AI antifragile: deep understanding, desire for change, and capability to build.
How to avoid the AI expertise trap by testing AI in areas you know well to accurately assess its capabilities.
Explains shifting from prompt engineering to intent engineering by focusing on outcomes rather than step-by-step instructions for AI.
Explores how AI can remove non-human work, leaving only creative, human-centered tasks like collaboration and nurturing.
Explores recreating Bell Labs' creative cafeteria culture using AI to offload execution work, enabling human idea-sharing.
