Which is AI more likely to cause? | David Sacks on Binance Square

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Which is AI more likely to cause?

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The main way to stop drones is to jam the signal from the operator. This creates a strong incentive for drone warfare to become autonomous as quickly as possible. (This is just an observation, not a policy recommendation.)

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The future of AI has become a Rorschach test where everyone sees what they want. The Left envisions a post-economic order in which people stop working and instead receive government benefits. In other words, everyone on welfare. This is their fantasy; it’s not going to happen.

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What does winning the AI race look like? It means we achieve a decisive advantage that can be measured in market share. If 80% of the world uses the American tech stack, that’s winning. If 80% uses Chinese tech, that’s losing. Diffusion is a good thing.

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MOUNTAINHEAD costume designer Susan Lyall on the All-In Pod: “It was a very good source of research for me. One of the hosts, Chamath Palihapitiya, went to the inauguration of President Donald Trump and he showed pictures of all the things he wore. I couldn't believe it. He had a Loro Piana jacket here and a Brunello Cucinelli there — he obviously really knew his stuff.” 🤣🤣🤣

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Nobody was caught more off guard by the DeepSeek moment than the AI Doomers. They had been claiming: — that the U.S. was years ahead in AI; — that PRC leadership didn’t care much about AI; — that China would prioritize stability over disruption; and — that if the U.S. slowed down AI development, China would slow down too. All of this turned out to be profoundly wrong. Now, ironically, many of the Doomers — who prior to DeepSeek had tried to ban American models now currently in use — are trying to rebrand as “China Hawks.” If they had their way, the U.S. would have already lost the AI race!

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