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Current state-of-the-art world models struggle to maintain spatial consistency and reliable state evolution over long-horizon interactions, as revealed by the new PlayWorld benchmark.
Fine-tuning Earth-based weather models can unlock accurate Martian weather predictions within just 10 training epochs, transforming our approach to planetary atmospheric forecasting.
LLMs struggle to generate diverse and specific connections between concepts, even with high token budgets and "thinking" prompts, revealing a gap in creative associative reasoning.
