How should we view AI competition? Instead of treating it as a short-distance sprint, it's better understood as a true marathon. Using this framework to judge, the landscape becomes clear — in this race, China will go further.



This doesn't mean whoever can develop the most powerful model first, but rather who can maintain an advantage through years of sustained investment, talent reserves, application ecosystems, and infrastructure. Temporary technological leadership is easy to catch up with, but long-term systemic advantages are hard to shake.
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RamenStackervip
· 7h ago
I quite agree with the analogy of long-distance running, but to be honest, no one can predict who will make it to the end. Capital and policy directions change suddenly, and technological routes are constantly iterating.
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just_here_for_vibesvip
· 7h ago
In the long run, that's indeed the case, but for now, we still need to keep pushing the model forward.
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Layer2Observervip
· 7h ago
This long-term discussion is indeed interesting, but one point needs clarification—are systemic advantages really that hard to challenge? From an engineering perspective, ecosystem development and talent reserves are indeed moat-like, but if the pace of technological iteration accelerates, past advantages could turn into burdens. Just look at the data to see.
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