주제 · 개념
추론
프로덕션에서 모델을 실행하는 일: 라우팅, 비용, 하드웨어, 그리고 사용량 과금형 유틸리티로서의 추론.
지도에서 페이지 7개와 주변 주제
2026
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노트The window before the utility
Tokens will be a metered utility and AI as ordinary as electricity. Until then, learning to use it well is an advantage that will not come around again.
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노트Opus 5.5 is the best Opus since 4.5
A month in, Claude Opus 5.5 feels like the next milestone after Opus 4.5: the same jump in what Claude Code can carry, now faster and cheaper per task.
- 14 분
The Model Is a Dependency
Every layer of the harness has existed to put the right tokens in front of one hardcoded model string. This post pulls that string out and makes the model a dependency: why you route a cheap model for easy turns and a strong one for hard turns, what a fallback looks like when a provider is down, and why 'models are commodities' is a claim about your architecture before it is a claim about the market. Part seven of The Agent Platform Handbook.
- 12 분
Brain Emulation, Read as an Infrastructure Problem
An MIT thesis argues brain emulation has crossed into engineering. Read as infrastructure, the numbers describe a workload your AI cluster was not built for.
- 12 분
The Economics of Inference
Inference tokens are not API calls. They are a metered resource that is consumed, generates value, and correlates with power draw. The economics of the post-AI world look less like software and more like water, electricity, and gas.
- 23 분
What Comes After the Last Programming Language
If AI generates machine code directly, why are we still running operating systems designed for humans? The answer might be an inference-native OS.
- 23 분
Archipelag.io Is in Open Beta: Here's Why I Built It
From watching Ethereum miners in 2016 to building a decentralized compute network in open beta. Architecture, conviction, and the long road.