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Shilong Liu proposes a taxonomy classifying self-evolving agents into artifact optimization, harness self-improvement, and model learning, providing a common language for emerging agent research.
Observer notes how a model progresses from solving easy tasks with Python to using subcalls for harder tasks over time.