@lqiao: Open weights are a defender's advantage. dfs-large1 from @depthfirstlabs matches frontier-model performance on vulnerab…

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Summary

A tweet highlights DepthFirst Labs' new cybersecurity model dfs-large1, which matches frontier-model performance on vulnerability discovery, built on the open GLM-5.2 model with RL post-training on Fireworks AI, arguing that open weights are a defender's advantage.

Open weights are a defender's advantage. dfs-large1 from @depthfirstlabs matches frontier-model performance on vulnerability discovery and was built on the open GLM-5.2 model, post-trained with RL on @FireworksAI_HQ. This is exactly the case for open-source AI policymakers need to notice: American companies can build best-in-class domain models using open weights.
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Open weights are a defender’s advantage.

dfs-large1 from @depthfirstlabs matches frontier-model performance on vulnerability discovery and was built on the open GLM-5.2 model, post-trained with RL on @FireworksAI_HQ.

This is exactly the case for open-source AI policymakers need to notice: American companies can build best-in-class domain models using open weights.

Andrea Michi (@andreamichi): Today we’re announcing dfs-large1, our newest cybersecurity model that achieves best-in-class performance on vulnerability detection tasks.

Besides frontier AI labs, only a handful of companies have built specialized models that reach the state of the art in their domain. We’re

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