Knowledge Infrastructure for LLMs
A language model can only work from what someone wrote down and put in front of it. Most companies that bought AI maintain their code and little else.
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A language model can only work from what someone wrote down and put in front of it. Most companies that bought AI maintain their code and little else.
Red-teaming a model's behaviour is chaos engineering, and operations already wrote the rules for it.
A hook can block a word on every reply. Nothing I run can yet catch a model before it folds, only after.
Advice about language models depends on which model, on whose hardware, inside how much harness
A reading of the Goodhart Labs chess honeypot, three additions to the design, and a dated prediction.
Where Claude's writing style came from: text written to be heard, read in silence
Most agent harnesses ship without swap.
Everyone got a race car, but no track yet.
The modern world was built on explosions: contained, timed and measured ones. That is what an engine is. Language model output is the fire; the harness, the hook and the far-end gauge are the engine.
Error budgets, reconciliation loops, separation of duties and recovery over prevention: four operations practices that fit agent work almost line for line.
Seven months of running an agent-built pipeline unattended, 308 lines of recorded failures next to 208 lines of instructions.
A language model is a golem made of English. It behaves well only where it can see what its act will cost, and infrastructure is the craft of bringing that cost into view.