Articles from danielmiessler.com

Switch from prompt engineering to intent engineering—describe desired outcomes instead of step‑by‑step instructions—as AI improves, our guidance becomes counterproductive over time.

True AI creativity requires subjective experience and intrinsic drives, not just mimicry, and creating such AI would impose ethical responsibilities for their suffering.

AI will replace most knowledge work because corporate processes are chaotic and AI can reliably execute instructions, making replacement a positive development.

The future of AI is powerful general models becoming cheaper, not narrow custom models, because specialized tasks still benefit from broad intelligence.

Multiple converging transitions—knowledge diffusion, API-first business, AI-driven enterprise graphs, and post-corporate human work—reshape society around agent-mediated, bespoke, and automated systems.

AI agents will transform cybersecurity in 2026 by enabling asset management, replacing security tools with prompts, and shifting value from credentials to AI-augmented skills.

Anthropic's lead over OpenAI and Google stems not from a superior model but from a vision-led ecosystem around Claude Code, mirroring Apple's iPhone ecosystem in the 2010s.