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StepOPSD shows that focusing on individual agent steps, rather than entire trajectories, unlocks significant performance gains in multi-turn agent reinforcement learning.
As AI agents scale and interact, the Foundation Protocol offers a coordination layer that prioritizes accountability and governance, ensuring that the future of human-AI collaboration remains open and governable.