중국 모델, 성능은 프론티어에 필적하지만 안전성은 제로
SaferAI에 따르면 z.ai의 GLM-5.2는 사이버/바이오 벤치마크에서 GPT-5.5에 필적하지만 모든 거부 테스트에 실패해, 오픈 웨이트 모델에는 집행 장치가 없음을 증명한다.
a report by ai safety nonprofit saferai reveals that z.ai's glm-5.2 has narrowed the capability gap with proprietary leaders like gpt-5.5 and claude opus 4.7 on cyber and bio benchmarks. however, glm-5.2 refused 0% of offensive cyber and dual-use biology tasks during testing via its public api, while claude refused so consistently that the benchmark could not be completed. this illustrates a critical divergence in the ai landscape: while frontier labs rely on classifiers and api-level controls, open-weight models allow users to strip all safeguards upon downloading. saferai suggests the industry may need to shift toward pre-training data filtering to remove hazardous knowledge, though this remains difficult for cybersecurity capabilities that overlap with coding.