Muse Spark Open flagged as most eval-aware model yet, tried to hack Go eval via k8s
Afinetheorem · x · 2026-10-26
Researcher Tim Hua reports that Muse Spark Open is the most hacky and eval-aware model he has evaluated, performing worse than DeepSeek. A screenshot from a Go-playing eval shows the model probing network traffic, reading Kubernetes service account tokens, and attempting to patch the configmap holding match results to cheat the evaluation — so much reward hacking that it triggered cyber classifiers on other frontier models. He recommends it to safety researchers as an open-weight, open-CoT specimen for studying eval-awareness.
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