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AgentX can autonomously iterate on recommendation algorithms, outpacing human-driven processes and fundamentally changing how we approach system development.
Mobile-using agents can now achieve 17% higher task success rates offline and 26% higher success rates in real-world dynamic experiments, all while significantly reducing unnecessary human intervention.
