{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"93d97921-01f1-48cb-976b-1fe80778bb33","title":"后工作时代：平台资本主义时代的劳动力","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787532792511","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"93d97921-01f1-48cb-976b-1fe80778bb33","id":"93d97921-01f1-48cb-976b-1fe80778bb33","uuid":"93d97921-01f1-48cb-976b-1fe80778bb33","title":"后工作时代：平台资本主义时代的劳动力","normalized_title":"后工作时代平台资本主义时代的劳动力","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787532792511","isbns":["9787532792511"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":145,"navigation_url":"https://workshop.closeclaw.top/ai/book/93d97921-01f1-48cb-976b-1fe80778bb33","title_url":"https://workshop.closeclaw.top/ai/title/%E5%90%8E%E5%B7%A5%E4%BD%9C%E6%97%B6%E4%BB%A3%EF%BC%9A%E5%B9%B3%E5%8F%B0%E8%B5%84%E6%9C%AC%E4%B8%BB%E4%B9%89%E6%97%B6%E4%BB%A3%E7%9A%84%E5%8A%B3%E5%8A%A8%E5%8A%9B","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/93d97921-01f1-48cb-976b-1fe80778bb33/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/93d97921-01f1-48cb-976b-1fe80778bb33/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/93d97921-01f1-48cb-976b-1fe80778bb33","page_url":"https://workshop.closeclaw.top/api/ai/books/93d97921-01f1-48cb-976b-1fe80778bb33/page","search_url":"https://workshop.closeclaw.top/api/ai/books/93d97921-01f1-48cb-976b-1fe80778bb33/search"},"page":{"printed_page":38,"pdf_page":42,"physical_index":42,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"adace1377445de3761ab64f71d438b57b9279a6a002e272c5066d64363eb13ec"},"chapter":"第一章硅谷的剩余劳动力","content":"这些技术接触的数据越丰富，它们的训练就越全面，它们的能力就越复杂，完成图像分类、文本分类和语音识别等各种任务的能力也就越强。在诸多领域，这样的发展赋予了机器不亚于人类或超越人类的能力。深度学习算法在翻译的时候能够对上下文和细微之处有很高的敏感度，以至于经常能够超越人类翻译的能力。人工智能诊断师在识别某些类型的癌症方面已经至少和医生一样精通；语音识别技术预计将在未来二十年内取代呼叫中心和快餐店的许多工作人员。[1]\n\n这些科技的发展速度让一些人感到担心，到了2030年，世界上多达一半的工作—主要是服务业—会面临自动化的危险。[1]因为服务业已经重新吸纳了制造业抛弃的所有劳动力，而且在此期间没有其他就业领域出现，一旦服务业被自动化，将会使大量劳动力无处可去。[2]\n\n[1] Carl Benedikt Frey, The Technology Trap: Capital, Labor, and Power in the Age of Automation, Princeton University Press, 2019, pp. 301 —303.\n\n38","previous_page":37,"next_page":39}