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18k Reasons for Causal Learning in Space

nervousmachine Tuesday, January 06, 2026
Summary
The article discusses the importance of causal learning in AI and presents a new dataset with 18,000 examples to help train causal reasoning models. It emphasizes the need for AI systems to understand the underlying causes and effects in the world, rather than just learning patterns and correlations.
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nervousmachine.substack.com
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