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Shared by @alexandr_wang ↗Autonomous coding agents perform well on many conventional programming tasks, but scientific computing demands a rigorous validation paradigm that extends beyond simple functional test completion: generated code must preserve physical fidelity, differenti
How competent are local AI models for cyber security bug hunting and research?




Current multimodal models handle static image recognition well, but intuitive physical reasoning remains a weakness. Predicting how objects will move and interact from a single image is still difficult for these systems. We present BilliardPhys-Bench, a b



qodo.ai4mo agomage-bench is a benchmark where LLMs play Magic: The Gathering against each other.


