Priors over priors
Why we are called Hyperpriors: what a hyperprior means in Bayesian terms, and why the control plane for production AI is exactly that — beliefs about how a system should hold beliefs.
Safety · Observability

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4 essays filed here
01 — Index
Why we are called Hyperpriors: what a hyperprior means in Bayesian terms, and why the control plane for production AI is exactly that — beliefs about how a system should hold beliefs.
Safety · Observability

An agent harness is the structured runtime between a model and the world: tool mediation, context management, retries, fallbacks, and human escalation. A prompt and a while-loop is not an architecture.
Harnesses · Safety

No single control makes an LLM product safe, and none needs to. A layered architecture — input mediation, capability scoping, output enforcement, human review, audit — works because the layers fail independently. A whitepaper on building it deliberately.
Safety · Whitepaper

A production AI system does not need to be right every time; it needs to know when it might be wrong and hand those cases to a person. Confidence signals, threshold calibration, escalation ergonomics, and the discipline of not crying wolf.
Safety
