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High Pass@1 masks a critical failure mode in frontier code models: models routinely ship bloated, unreviewable diffs for trivial bugs, an issue that scaling cannot solve but RL post-training can directly optimize.
Metacognitive regulation emerges as a key differentiator for deeper collaboration in human-AI interactions, reshaping our understanding of dialogue dynamics.
Optimal mixing of query translations can significantly boost retrieval performance, but English dominance complicates the landscape of multilingual querying.