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.
153 articles from this blog
Analysis of Anthropic's Claude Tag as a potential AGI product that can replace knowledge workers by integrating into Slack.
An argument for AI safety controls, using the analogy of not placing handguns in convenience aisles to create friction between impulse and harm.
A logical analysis of AI regulation, comparing it to historical policy-making and urging patience as governments and industry navigate this new tech.
Explores the growing divide between AI-native individuals who embrace AI tools and those who dismiss them, arguing it's a critical future split.
Defines AGI and ASI with simple, practical distinctions: AGI matches human experts, ASI surpasses all humans.
Analyzes AI strategies of major tech companies and provides a critical prompt for businesses to define their AI purpose.
A guide to re-running specific prompts when new advanced AI models are released, focusing on optimizing AI harnesses and workflows.
Analysis of AI's impact on jobs, predicting a split between employable and unemployable workers.
A framework for rating AI systems on customization, integration, and competence, arguing customization matters most.
Analysis of AI narratives swinging between extremes, arguing the truth about AI's impact on work lies in the middle.
Explores the argument that AI is 'just predicting tokens' and demonstrates understanding through novel murder mysteries with fake physics.
Analysis of contradictory frames on AI adoption speed in companies, balancing hype vs. reality and human roles.
Analysis of Anthropic and OpenAI IPOs, viewing AI as a massive opportunity for decision support and the elimination of gaps between current and ideal states.
Analyzes how AI will create new jobs but only for the top 1-5% of the population, leading to societal inequality.
Analysis of how suddenly-great open source AI could pose an economic threat to the US by disrupting major tech companies.
Explores why AI lacks true human creativity due to absence of intrinsic drives and subjective experience, and what it would mean to give AI real feelings.
A philosophical argument for keeping Markdown over HTML as the primary format for AI use-cases, valuing text as a pure form of thought.
Analysis of why most companies struggle with AI adoption due to unclear goals and lack of organizational readiness.
Announcing PAI 5.0, an open-source Life Operating System for personal AI infrastructure, featuring a new algorithm, memory system, and digital assistant.
Explores how AI is not the villain in job displacement; companies have always sought to automate work, and the real issue is reliance on corporate jobs.
