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.
161 articles from this blog
Argues that current AI models are already capable of achieving Functional AGI through better orchestration of existing systems, not new model breakthroughs.
Distinguishes between Functional AGI (replacing knowledge workers) and Technical AGI (true generalization), arguing Functional AGI's societal impact matters most.
A guide outlining the top 10 personal and business risks associated with AI adoption, including failure to adopt and security concerns.
Explores how AI will soon enable rapid novel creation through prompting and verbal narration, transforming the writing process.
Apple plans to transform Siri into a powerful AI by integrating it deeply with the Apple ecosystem, including personal context and cross-app features.
Analyzes the massive total addressable market for AI, arguing it encompasses the cost of human labor and new business value.
Argues for a balanced approach to AI, using it for discovery but doing important learning and thinking tasks manually to preserve meaning and growth.
Learn powerful Neovim/Vim commands for precisely copying and moving lines of code to boost your editing efficiency.
AI will augment founders, enabling them to perform vast amounts of work without employees, fundamentally reshaping the economy and employment.
Explores a method using a 'Judging AI' (like o1-preview) to evaluate the performance of other AI models on tasks, relative to human capability.
A tutorial on enabling Fast Roaming, BSS Transition, and Band Steering in Ubiquiti's manual settings to fix WiFi roaming issues between access points.
AI is not the end product but a creative multiplier enabling small teams to build new products and services at unprecedented scale.
A tutorial on integrating Hugging Face's vast model library with Ollama's easy-to-use local AI platform for running custom models.
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.
