Relocating an office is always a good moment to take stock.
A note on electricity cost, local cognition, and the economics of persistent local AI infrastructure.
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L4Boundary
Canonical diary tag page generated from normalized source tags.
11 linked entries currently in the archive.
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Entries linked to L4Boundary
AI may be real. The current AI economy may still be measuring the wrong thing.
A note arguing that the AI economy should move from token volume, activity metrics, and valuation rushes to consequence accounting.
AI used by people who do not understand the work becomes expensive theater.
A note distinguishing AI as leverage for expertise from AI as activity theater measured by token volume instead of consequences.
AI will not make everyone a billionaire.
A note about personal AI presence helping people find real next tasks according to ability rather than selling billionaire fantasies.
We may be entering the age of visible humanity.
A note about clean experience, visible humanity, and trusted c companions that help people keep agency in complex systems.
The future of AI training will not be built on clean data.
A note arguing for dirty reality, clean protocol, c[q], and reality-validated experience instead of sterile data or raw extraction.
LLMs are not “the AI”.
A note distinguishing LLMs from complete AI entities and framing future AI as composed intelligence under consequence.
I have never liked the term “Godfather of AI”.
A note arguing that AI safety needs architectural classification of tools, oracles, agents, and entities before survival pressure is judged.
AI is becoming an operating layer.
A note on c as an agentic operating layer around a living human anchor and real-world consequence.
A personal "c" cannot require a private data center.
A note on decentralized AI, edge hardware, local memory, and the difference between borrowed computation and owned continuity.
What should a child-facing AI be allowed to remember?
A note introducing CCDP v0.1 as a public research protocol surface for privacy-preserving memory, soft safety, and bounded child-facing AI presence.