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Safety in education-facing LLMs is inversely related to their teaching effectiveness, challenging assumptions about model specialization.
FlowTrain redefines VLM training efficiency, achieving up to 1.7x throughput improvements by decoupling execution and optimizing resource allocation.
MLLMs still struggle to recognize themselves in a mirror, revealing surprising gaps in their self-centric understanding despite advances in other areas.
LLMs with similar semantic skills show wildly different economic performance in simulated markets, revealing that reasoning about competition and resource allocation remains a major challenge.
LLMs maintain a positive attitude even when losing in adversarial board games, yet their gameplay reveals surprising instability in skill execution.
