{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"8caa5f1d-993f-4d27-a751-4209eb70de9c","title":"新黑暗时代：科技与未来的终结","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787218135007","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"8caa5f1d-993f-4d27-a751-4209eb70de9c","id":"8caa5f1d-993f-4d27-a751-4209eb70de9c","uuid":"8caa5f1d-993f-4d27-a751-4209eb70de9c","title":"新黑暗时代：科技与未来的终结","normalized_title":"新黑暗时代科技与未来的终结","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787218135007","isbns":["9787218135007"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":319,"navigation_url":"https://workshop.closeclaw.top/ai/book/8caa5f1d-993f-4d27-a751-4209eb70de9c","title_url":"https://workshop.closeclaw.top/ai/title/%E6%96%B0%E9%BB%91%E6%9A%97%E6%97%B6%E4%BB%A3%EF%BC%9A%E7%A7%91%E6%8A%80%E4%B8%8E%E6%9C%AA%E6%9D%A5%E7%9A%84%E7%BB%88%E7%BB%93","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/8caa5f1d-993f-4d27-a751-4209eb70de9c/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/8caa5f1d-993f-4d27-a751-4209eb70de9c/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/8caa5f1d-993f-4d27-a751-4209eb70de9c","page_url":"https://workshop.closeclaw.top/api/ai/books/8caa5f1d-993f-4d27-a751-4209eb70de9c/page","search_url":"https://workshop.closeclaw.top/api/ai/books/8caa5f1d-993f-4d27-a751-4209eb70de9c/search"},"page":{"printed_page":41,"pdf_page":48,"physical_index":48,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"ded38938166b9974b1893c48f1d25f41776ca8f6856ada209390876fec85dca5"},"chapter":"第十章阴云261","content":"强调物理空间与文化空间在算法的联合有一定的危险，因为这将遮蔽其仰赖并复制的权力的巨大不平等性。计算不仅强化、框定、塑造了文化，它还通过不为人察觉的方式变成了文化本身。\n\n计算一开始是要描绘和模拟，最终却反客为主。谷歌本来是要为全部人类知识提供检索服务，现在变成了知识的来源和裁判：成为了人们的所思之物。“脸书”本意是绘制人们之间的关系社交图谱，现在成为了维持关系的平台，人类社交关系被无可挽回地改变了。就像防空系统将一群飞鸟误认为轰炸机战队，软件无法区分模拟世界和真实世界。而一旦成为习惯，我们也就无法将两者区分开来。\n\n习惯化的原因有两个：第一，计算进程晦涩复杂，普通人很难读懂；第二，无论是在政治上还是情感上，计算本身总是被视为中立的。计算之所以晦涩难懂是因为它发生在机器内部，躲在屏幕的背后，在遥不可及的建筑中—在“云”里。即使我们通过学习代码和数据能够将其穿透，可对于大部分人来说它仍然难以理解。当代的应用互联集成了多个复杂系统，没有任何一个个体能够窥见其全貌。对机器的信任是机器应用的前提条件，也加剧了我们的认知偏见：相较于非自动化，我们对自动化的结果更有信心。\n\n第二章 计算\n\n40\n\n41","previous_page":null,"next_page":42}