Darwin Mobile Agent: A Roadmap for Self-Evolution

arXiv:2606.20622v1 Announce Type: new Abstract: The goal of artificial intelligence is to create agents capable of general, adaptive behaviour in open-ended environments. Guided by the "Bitter Lesson", we argue that the most effective path toward this goal is to systematically remove human priors and allow intelligence to naturally emerge through interaction with a "Big World" that is orders of magnitude more complex than the agent itself. We propose the mobile Graphical User Interface (GUI) as ...

arXiv cs.AI ·Daniel Beechey, Derek Yuen, Jianheng Liu, Dezhao Luo, Tiantian He, Weilin Luo, Jun Wang, Kun Shao ·
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