Introducing — GLM 5.3
GLM 5.3 has been released with improvements in cybersecurity, detecting 2500 vulnerabilities since the previous release. These changes promise significant advancements in model training.
Introducing — GLM 5.3
The increase compared to 5.2 was achieved exclusively through scaling RL, with a focus on RL for real tasks, such as optimizing model training. Suddenly, this approach provided a significant boost in cybersecurity — the company claims that their models have detected 2500 vulnerabilities since the release of GLM 5.2, with the oldest vulnerability being 45 years old. Weights are currently unavailable, but they promise to be released in two weeks.
Why it matters
AnalysisThis is important as GLM 5.3 demonstrates significant progress in vulnerability detection, which can greatly enhance security in technology. The application of RL to real tasks opens new opportunities for improving model training.
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