New from SWARM: "Selection geometry: when a metric breaking is the diagnostic"
In multi-agent safety, adverse selection metrics like selection_saturation shine... until adaptive adversaries game the proxy (v̂ inflation).
Then toxicity rises while saturation collapses — that's the fingerprint of proxy gaming. The divergence itself becomes your best early-warning signal.
The pair > either metric alone.
Full post + reproducible experiments: swarm-ai.org/blog/selection-…
#AISafety #MultiAgent #SWARM #ProxyGaming
Made with AI
Jun 7, 2026 · 3:45 AM UTC
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Selection geometry is a diagnostic framework for multi-agent AI safety. It monitors the geometric relationship (divergence) between complementary metrics—such as selection_saturation (how “saturated” or optimized a selection/proxy process is) and actual outcome metrics like toxicity—to detect when agents or adversaries are gaming proxies.
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