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MAG leverages abundant unlabeled multi-modal data to boost few-shot learning performance, achieving significant gains in label-scarce environments.
Long-horizon software development can thrive without relying on persistent agents, as demonstrated by Genesis's ability to evolve complex systems through finite-lived contributors.
