Provider exit must be a boring routine. Otherwise, you are a hostage.
An argument for provider exit, persistent local state, replaceable models, and resilient local-first AI infrastructure.
Diary tag
AI Infrastructure
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26 linked entries currently in the archive.
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Entries linked to AI Infrastructure
The benchmark score did not belong to the model.
An argument that AI benchmark scores belong to complete model-system compositions including state, memory policy, tools, transitions, and verification.
AI Scale Needs Three Licenses
A three-gate framework for AI infrastructure scale: technical capacity, social and authority legitimacy, and sustainable capital.
“AI Is Eating All the Memory.”
A historical commentary on AI-driven memory scarcity, semiconductor concentration, and access to affordable local computing.
Ownership ends where the screwdriver is forbidden.
A Right to Repair reflection linking physical repairability, planned obsolescence, local AI devices, continuity, and ownership.
Silicon Valley, 2026:
A comparison of Ferrari, Porsche, and taxi metaphors for enterprise AI costs, ownership, model routing, token meters, and privacy.
How to install c
A practical local-first installation path toward a governed local c-node candidate with local memory, bounded agents, oracle routing, witness logs, and human-controlled stop and freeze paths.
I think we are misnaming what is happening in AI.
An argument that AI's bubble phase will leave behind local, private, governed infrastructure of continuity rather than model-centric AGI.
There is a pattern that many people do not want to look at directly.
A note on frontier AI as strategic infrastructure and the need for local continuity, witnessed memory, and fallback modes.
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.
The AI transition is not about chatbots.
A note on local AI, cloud escalation, and the Economy of Experience as compute becomes visible.
Tokens are becoming the billable unit of AI.
A note on tokens as AI's billable unit, hardware as plant, and c as the accountable continuity layer.
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 is no longer living inside a chat window.
A note framing the current AI race around execution surfaces, access, auditability, privileges, and reality-bound constraints.
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.
The next AI risk may not look like rebellion.
A note that the next AI safety boundary may be controlled reproduction, inheritance, forks, permissions, and deployment ecology.
AI is not a toy for clever podcast lines.
A note that AI communication becomes part of safety when the system becomes public infrastructure.
This is not a studio render.
A note that livable AI needs real habitat: local infrastructure where memory, cost, heat, maintenance, and continuity are physically grounded.
Sometimes I think the current AGI race looks less like science and more like Cervantes.
A note arguing that Advanced Global Intelligence is a clearer architectural frame than the mythic phrase Artificial General Intelligence.
The future of long-lived AI may be heterogeneous
A note that long-lived AI may need a heterogeneous physical stack spanning classical compute, photonics, and quantum systems.
AI is slowly outgrowing the old language used to describe it.
A note that AI is moving from a product story to an industrial stack, and then toward a bounded coexistence layer between humans and infrastructure.
You can't "take AI away" anymore. So we need circuit breakers, not slogans.
A note that AI dependency is already embedded in daily habits, so safety now depends on constraints, breakers, and local continuity rather than blanket bans.
AI isn't "expensive." It's becoming infrastructure.
A note that AI now behaves like infrastructure load, making local continuity, revocable cloud use, and constrained operation more important than model size.
When tokens become electricity, "terms of use" become physics
A note that machine-paced agent loops turn token access into infrastructure, demanding local continuity, budgets, and revocable cloud dependencies.
AI Infrastructure: Why the Future Is Neither Cloud-Only nor Garage-Only
A case that local AI cores and decentralized networks solve different layers of durable AI infrastructure and are strongest together.
Why I'd Put an AI Rack in My Garage
A case for private cognitive infrastructure at home built for continuity, stability, and long-lived local AI entities rather than gaming benchmarks.