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Beijing Institute of AI Safety and Governance, China., Beijing Key Laboratory of Safe AI and Superalignment, China., BrainCog Lab, Institute of Automation, Chinese Academy of Sciences, China.
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Diffusion models get a 2.88x speed boost in low-step regimes thanks to a new Padé approximation technique that predicts feature evolution more accurately than Taylor-based methods.
Frontier AI models exhibit widespread safety vulnerabilities across multiple pillars, including risky agentic autonomy and catastrophic risks, according to a new comprehensive benchmark.
