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CodeRabbit's new 'loop engineering' framework offers a strategy for designing autonomous AI systems that recover from errors without needing constant human intervention.

A new study reveals that Transformer-based AI models struggle with selective attention, failing tests that humans pass easily. Experts are now questioning the limits of current LLM architecture.