YamRail Proposes Human-Gated Authority Boundaries for LLM Systems

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A developer has released a public beta of KYK, an AI system designed to separate verified technical findings from speculation and unresolvable questions. The project argues that large language models should be treated as heavy machinery requiring industrial-style safety controls rather than as peers of human workers. The proposed controls include specification-enforcing mechanisms, deterministic test suites, and evidence-based inspection records that highlight what humans must verify. The author also contends that requiring approval at every micro-step would cause approval fatigue, so placement of human approval points is a central open question. The developer is seeking architectural feedback and invites community discussion on standardizing these validation frameworks via GitHub.

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