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
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.
Explores the concept of 'human collapse' from a tech podcast, arguing for seeking 'entropy' and new inputs to stay creative and unpredictable, with mentions of AI tools.
A critique of Andrej Karpathy's AGI timeline, arguing that AI systems, not just LLMs, will replace knowledge workers sooner than his definition suggests.
Explores how governments might use Universal Basic Income (UBI) and highly immersive games to address societal inequality and unrest caused by AI-driven economic shifts.
Analyzes the AI investment bubble, arguing it can coexist with real AGI progress and massive job market disruption by 2030.
Explores how AI disrupts labor markets by collapsing the traditional model of tools, operators, and outcomes into a single, more efficient system.
A technical AI researcher questions if human 'world models' are as emergent and training-dependent as those in large language models (LLMs).
The article discusses the transition from an industrial-age 'Human 2.0' mindset to an AI-enabled 'Human 3.0' era of creators, critiquing traditional education and work paradigms.
Emad Mostaque argues AI will make capitalism obsolete by replacing human labor and transforming the economy within 1,000 days.
The article argues that AI and reduced startup costs are making venture capital less essential and more challenging for VCs to succeed.
Argues that AI is not a financial bubble, analyzing the definition of bubbles and contrasting AI's transformative potential with the dot-com era.
