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可能算是一个信息差吧， 支持国内个人身份证注册账号，接入到网站里，向全球用户收款美元。 具体见他们官方公众号 不过注意，他文章里入口放错了，会导致跟着步骤只能注册国内企业账户，需要自己手动打开浏览器，从 首页进入注册，选择个人卖家才行。 再次注意，是 不是 ，虽然你在 cn 注册后，有一些步骤也是在 com 完成的，但一开始注册必须在 cn 。 另外可以自豪说一下的是，这个事是我从2024年接触到 PayPal 中国上海总部工作人员后推动的，见了各级领导，在多个场合见缝插针的被安排跟更高级的领导聊这个事，最终促使他们决定做这个事。 在正式官宣之前，我跟他们内部测试了半年多。 在此之前， 虽然也支持个人卖家注册，但只有实体产品网站才会被审核通过，后来在2026年1月正式官宣，虚拟产品也可以接入了。

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New MIT study. Code volume surges by 300%, but output increases by only 30%: The AI dividend meets an awkward reality Autonomous AI coding agents raised commits by 180%, but releases rose only 30%. The paper’s main idea is that software production has weak links, so faster code writing does not help as much when humans still need to review, connect, test, package, and ship the work. The authors also check app marketplaces and find more new apps, but no increase in total usage, which means more software appeared without clear evidence that users adopted more software. The marketplace evidence points the same way: more new apps appeared, but total usage did not rise. The authors compare more than 100,000 GitHub developers before and after they start using 3 generations of AI coding tools, from autocomplete to more independent coding agents. Autocomplete raised commits by 40%, interactive coding agents raised them by 140%, and autonomous coding agents raised them by 180%. The 180% commit gain shrank to 50% for the number of projects and 30% for actual releases. The estimated "elasticity of substitution" is 0.25 i.e. for every big improvement in AI’s usefulness, only a small amount of human work can be replaced. Because AI can write code faster, but humans are still needed to decide what to build, check if the code works, connect it with the rest of the product, fix messy edge cases, and actually ship it. --- papers .ssrn.com/sol3/papers.cfm?abstract_id=6859839

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