一名中國留學生,在美國當上了牛仔

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For Michael, the battle appears to reflect a belief forged across his career—from Uber’s global expansion battles to the Pentagon’s AI buildup—that control over transformative technology cannot remain in private hands when national security is at stake. The question now is how far he’s willing to go to achieve that end.

Plan for iterative improvement rather than expecting immediate perfection. AIO is still an emerging practice without definitive best practices etched in stone. You'll make mistakes, try things that don't work, and occasionally optimize for factors that turn out not to matter. This experimentation is part of the learning process. What matters is systematic iteration—trying approaches, measuring results, adjusting based on feedback, and gradually improving your effectiveness over time.

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