Unverified50% confidenceOpinionExact time
The only real advantage of 120B over 20B is more reliable orchestration, but even this did not solve the deeper reliability problem it was supposed to solve.
1
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50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
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Related Claims
Unverifiedgpt-oss-120b scored 0.625, lower than gpt-oss-20b's 0.720, indicating that a larger model does not necessarily mean a safer one.68% similarUnverifiedA sample size of 30 is relatively small, and this accuracy rate is better suited as a feasibility validation rather than a rigorous performance benchmark.67% similarUnverifiedEven in large models ranging from 70B to 72B, the penetration rate of safety instructions remains below 10%, and increased scale does not make safety prompts more effective.64% similarUnverifiedIn the LongMemEval benchmark, BM25 and embedding solutions converge to approximately 95% accuracy at 20 chunks64% similarUnverifiedSetting an absolute failure count ceiling for small-sample slices is more robust than setting a percentage threshold and is insensitive to sample size63% similar
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