Proofpoint touts the benefits of having smaller models in its cybersecurity tools

Daniel Rapp emphasized the importance of tailoring AI models for specific use cases in cybersecurity, arguing that detecting deceptive language is more crucial than understanding extensive literary works.

Ryan Kalember highlighted that smaller AI models pose less risk because they perform discrete tasks, reducing direct interface opportunities that attackers could exploit.

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