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Cybersecurity research needs a dedicated AI framework that evolves with the threat landscape, rather than relying on static models that can't keep pace with machine-speed attacks.
Soft grounding enables LLMs to navigate incomplete knowledge graphs without sacrificing the integrity of unobserved truths, reshaping our understanding of model reasoning under uncertainty.
Pressure integration in humanoid motion imitation significantly enhances accuracy and stability, revealing the limitations of traditional vision-based methods.
Forget expensive human preference data: this new method uses the policy's own value function to self-supervise reward model training, boosting performance across diverse benchmarks and RL algorithms.
Forget external firewalls – ClawdGo teaches AI agents to spot and fend off attacks from the inside, boosting their security smarts by 20% through self-play.
