Refusal classifiers are full of biases and make APIs unreliable, warns omarsar0
omarsar0 · x · 2026-11-05
omarsar0 argues that even if labs don't engineer refusals intentionally, refusal classifiers are filled with biases that will hurt your business one way or another, making hosted APIs unreliable when you need to move fast.
His context: simple research loops (tuning harnesses) for hill climbing—not model training. He believes people underestimate the implications for a world of RSI: any business trying to build on these APIs will struggle, and open-source models completely bypass this layer.
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