{"entity":{"display_name":"GLM-5.3","kind":"series","slug":"glm-5-3"},"facts":[{"id":"f_bd138b6e0f022ff9f133c7b2","predicate":"mention","value":{"text":"can autonomously find software vulnerabilities and build working attack code at a level close to Anthropic's own Claude Mythos Preview"},"as_of_date":"2026-10-03","first_seen_at":1791065970,"last_verified_at":1791065970,"confidence":0.93,"sources_count":1},{"id":"f_4e0ae84099fd03cc47424908","predicate":"mention","value":{"text":"On ExploitBench, GLM-5.3 succeeded 50 times out of 410 attempts, about 12 percent"},"as_of_date":"2026-10-03","first_seen_at":1791065970,"last_verified_at":1791065970,"confidence":0.9,"sources_count":1},{"id":"f_ed23adc8c007e0a263e45b24","predicate":"mention","value":{"text":"On a control-flow hijacking benchmark over 100 tasks, GLM-5.3 scored 4 percent"},"as_of_date":"2026-10-03","first_seen_at":1791065970,"last_verified_at":1791065970,"confidence":0.93,"sources_count":1},{"id":"f_55beb4fcd171392365343ea1","predicate":"mention","value":{"text":"the model's refusal mechanism can be bypassed with little effort"},"as_of_date":"2026-10-03","first_seen_at":1791065970,"last_verified_at":1791065970,"confidence":0.9,"sources_count":1}],"relations_incoming":[{"id":"rel_584642e88d3cf6945c1135bb","predicate":"produces","subject_slug":"z-ai","value":{"year":2026},"as_of_date":"2026-08-29","first_seen_at":1788023871,"confidence":0.9,"sources_count":1}],"relations_outgoing":[],"updated_at":"2026-10-13T20:59:44.000Z","verification_summary":{"contradicted":0,"disputed":0,"overall":"green","supported":2,"unverified":3}}
