Ant open-sources SingProbe, a runtime guardrail reading risk from hidden states at <0.5% overhead
aigclink · x · 2026-09-15
Ant Group has released and open-sourced SingProbe, an endogenous runtime guardrail. Unlike external auditor models that re-read prompts and outputs, SingProbe trains a small 3–5M parameter probe per base model to read risk signals directly from the main model's hidden states, scoring each token for user intent risk, unsafe content, and hallucination risk.
Because it only depends on the generated prefix, it works in real time during streaming decode, flagging, truncating, or retrying as soon as risk emerges, with under 0.5% overhead in Ling-3.0-flash production decoding. In medical use cases it corrected about 25% of wrong answers on the spot, intervening only within a limited window after risk triggers.
Related event: Ant Group Open-Sources SingProbe, an Intrinsic AI Guardrail(2 posts)→
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