Chamath Palihapitiya wants the US government to know something: if you ban open-source AI, you’re basically handing the rest of the world a competitive cheat code. The venture capitalist and All-In podcast co-host posted on X on July 18 that the US should embrace open-source AI rather than restrict it. His core argument boils down to simple math. American companies could end up paying between $26 and $56 per million tokens for proprietary AI access, while foreign competitors using open-source models would pay roughly $0.50 to $1 for the same capability. In English: that’s potentially a 50x cost disadvantage for US firms. The economics of locking yourself out Palihapitiya didn’t mince words about what he sees as the inevitable outcome of restrictive AI policy. “The future is open source. We need to embrace it and get on with it.” He noted that AI token costs at his own company are doubling approximately every 45 days. If the US government imposes export controls or outright bans on open-weight AI models, it doesn’t make open-source AI disappear globally. It just means American companies can’t use it. Meanwhile, competitors in China, Europe, and everywhere else continue building on f...
Chamath Palihapitiya warns US ban on open-source AI could harm stock market
2 hours ago
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