SynthID scale depends on verification throughput: version routing, uncertainty, audit evidence, review queues, and cost per defensible verdict.
A study of 17,211 citations shows how source preference can amplify ordinary web publishing into an AI search security path.
Third-party AI assessment needs enforceable contracts for independence, access, and disclosure, not a credibility label.
AI self-replication needs a five-layer evidence contract covering capability, resources, persistence, propagation, and containment.
A verified-source label can overturn correct LLM answers. RAG systems need claim-level evidence and conflict tests, not source prestige alone.
Use MentalHealthBench as a diagnostic, then add severe-failure rates, escalation tradeoffs, worst-slice floors, independent review, and deployment gat
An AI kill switch needs named authority, graded evidence, scoped containment, preserved telemetry, and a tested recovery path.
Model misalignment reporting needs replayable evidence, calibrated claims, independent access, and explicit closure criteria.
EvoUndo shows why capability gains are insufficient for self-modifying Agent Harnesses. Require witnessed, counterfactual recovery before merge.
Fable 5.1 and Mythos 5.1 share model weights but use different safeguards. Measure capability, intervention, cost, and access together.