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.
148 articles from this blog
A conversation exploring AI understanding through David Deutsch's constructor theory, questioning if AI can truly 'understand' based on task execution.
Explores the philosophical argument that AI, particularly LLMs, possess a form of understanding and model reality, challenging the notion they are mere token predictors.
Explores how AI-powered policies and SOPs will automate business and security operations, reducing human roles to strategy and idea creation.
Newsletter covering AI, cybersecurity, and tech trends, including analysis of OpenAI's o1 model and a major security incident.
Analysis of OpenAI's o1-preview model, the path to AGI, and tech news including cybersecurity threats and AI tooling.
Weekly newsletter covering cybersecurity threats, AI tools, tech trends, and personal productivity insights.
A philosophical and technical exploration of how Large Language Models (LLMs) transform 'next token prediction' into meaningful answer generation.
An analysis of why modern work feels broken, exploring AI's impact, corporate inefficiency, and the deeper economic pressures making jobs unfulfilling.
