China's Zhipu AI (Z.ai) has developed GLM-5.3, a cybersecurity model that reportedly outperforms Anthropic's Mythos 5 in CyberGym vulnerability-finding tests, according to social media reports. The mo…
Z.ai released GLM-5.3 on August 14, improving Terminal-Bench 3.0 coding scores from 4.6% to 28.3% solely through post-training, without changing the 743-billion-parameter mixture-of-experts architectu…
Z.ai delayed the public release of GLM-5.3's model weights after company-reported tests showed the Chinese lab's latest system scored 84.5% on CyberGym, a benchmark for finding known software vulnerab…
UC Berkeley's CyberGym benchmark shows AI agents can now reproduce real-world software vulnerabilities with 93.2% accuracy, up from 10-30% a year ago. The leaderboard leader, a Sangfor AI Agent runnin…
NVIDIA has unveiled NOOA (NVIDIA Object-Oriented Agents), an open-source framework that models AI agents as single Python classes, unifying capabilities, state, prompts, and memory. The framework's de…
Chinese AI developer Zhipu launched GLM-5.3, a coding-focused model that unexpectedly developed advanced vulnerability discovery capabilities, scoring 84.5% on the CyberGym benchmark, ahead of Anthrop…
Zhipu AI will release its GLM-5.3 model in stages, starting with API access and then open weights after security evaluations, positioning it for cyber defense and programming. The model scored 84.5 on…
Chinese AI company Zhipu launched GLM-5.3, claiming it outperforms Anthropic's Fable 5 and OpenAI's GPT-5.6 Sol on the CyberGym benchmark for vulnerability discovery, and found 2,436 vulnerabilities a…
Z.ai released GLM-5.3 on August 14, 2026, a post-training upgrade of the same 743B Mixture-of-Experts base as GLM 5.2, with major gains in coding and agentic ability and an emergent cybersecurity capa…
Z.ai (Zhipu AI) launched GLM-5.3, a 743-billion-parameter open-weight model that excels in cybersecurity and coding, scoring 84.5% on CyberGym and outperforming Anthropic's Mythos 5 (83.8%). The model…
DeepSeek released V4 to general availability, with V4-Pro moving to the 0813 build and V4-Flash to 0731, and ClawBox AI sessions now automatically use the new builds. DeepSeek's reported figures show …
Z.ai's GLM-5.3 scored 84.5% on UC Berkeley's CyberGym benchmark on August 14, edging out Anthropic's restricted Claude Mythos 5 at 83.8% and OpenAI's GPT-5.6 Sol at 83.6%, but the Beijing lab's own fi…
Zhipu AI announced GLM-5.3, its most capable model for cybersecurity tasks, with scores of 84.5% on CyberGym, 54.4% on ExploitBench, and 130 completed tasks in six hours on ExploitGym, up from 77.2%, …
Chinese AI startup Z.ai announced that its open-source model GLM-5.3 is approaching Anthropic's restricted Mythos 5 in cybersecurity testing, with GLM-5.3 slightly outperforming Mythos 5 in vulnerabil…
Z.ai's open-weights model GLM-5.3, released on August 14, 2026, identified a significant vulnerability in Cursor, the AI-powered code editor, according to security researcher Joshua Saxe. The model sc…
Z.ai Co. debuted GLM-5.3, an open-source large language model that set records on several benchmarks, including the highest score of any open-source AI model on Terminal Bench 3.0 for command line scr…
Zhipu AI released GLM 5.3, an open-weight model that improves coding and cyber capabilities through advanced post-training techniques rather than a larger architecture. The model, based on the same 74…
Chinese startup Z.ai reported its open-source GLM-5.3 model scored 84.5% on the CyberGym benchmark, edging out the 83.8% it reported for Anthropic's restricted Mythos 5, but lagged on exploit developm…
Chinese AI firm Zhipu (Z.ai) launched its flagship GLM-5.3 model, claiming it outperformed Anthropic's Mythos 5 and OpenAI's GPT-5.6 Sol on the CyberGym benchmark with an 84.5% success rate, though it…
Z.ai shipped GLM-5.3 on August 14 with Terminal-Bench 3.0 scores jumping from 4.6% to 28.3% and DeepSWE v1.1 from 46.2% to 66.9% on the same 743B base model as GLM-5.2, attributing all gains to scaled…