# AI

> Articles about AI, LLMs, agents, vibe coding, and engineering practice

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LLMS index: [llms.txt](/llms.txt)

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Section pages:

- [Cyber Dharma: A New Engineering Answer to Ancient Questions](/blog/ai/cyber-dharma/): A project manifesto: why build Cyber Dharma, and what it is not.
- [Burning Hundreds of Millions of Tokens a Day. Then What?](/blog/ai/tokenmaxxing/): Once token burn turns from usage exhaust into a KPI and leaderboard, it quickly mutates into theater. Don't post fuel burn. Post where you got to.
- [Why PostgreSQL Won in the AI Era](/blog/ai/postgres-and-ai/): Boring technology won the wildest era. A look at extensibility, agent choice, database cloning, and the future of the DBA.
- [AGI Is Here. Do You Have a Ticket?](/blog/ai/agi-is-coming/): When the strongest AI is not expensive but simply unavailable, the world starts converging on digital feudalism. And the window to act is narrowing.
- [Can You Distill an Expert?](/blog/ai/tacit-knowledge/): Polanyi's tacit knowledge explains the 70% ceiling of AI agents: real intuition, feel, and judgment do not serialize cleanly. They grow, if at all, through practice.
- [Local AI's Inflection Point: 2027](/blog/ai/local-ai-inference/): When subsidies fade, hardware catches up, and open models mature, all three lines cross in 2027. "Build your own AI" goes from idea to reality.
- [Yes, I Use AI to Write](/blog/ai/ai-writing/): AI is a multiplier. It amplifies depth and mediocrity alike. In an age where answers are cheap, questions are the real currency. There is nothing to hide about writing with AI.
- [LLMs Have Emotions: Claude's Internals Reveal Steerable Emotion Vectors](/blog/ai/ai-emotion/): Anthropic's new research gives us the first direct look at causally steerable emotion vectors inside a large language model. That should change how we think about AI.