{"id":118457,"date":"2026-10-27T13:32:26","date_gmt":"2026-10-27T05:32:26","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/118457.html"},"modified":"2026-10-27T13:32:26","modified_gmt":"2026-10-27T05:32:26","slug":"%e4%b8%80%e5%ae%b6%e5%81%9a%e6%94%af%e4%bb%98%e7%9a%84%e5%85%ac%e5%8f%b8%ef%bc%8c%e5%8f%91%e5%b8%83%e4%ba%86%e4%bb%8a%e5%b9%b4%e6%9c%80%e5%83%8f%e4%ba%ba%e7%9a%84%e8%af%ad%e9%9f%b3","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/118457.html","title":{"rendered":"\u4e00\u5bb6\u505a\u652f\u4ed8\u7684\u516c\u53f8\uff0c\u53d1\u5e03\u4e86\u4eca\u5e74\u201c\u6700\u50cf\u4eba\u201c\u7684\u8bed\u97f3\u6a21\u578b"},"content":{"rendered":"

10 \u6708 23 \u65e5，Jack Dorsey \u65d7\u4e0b\u7684 Block（Square \u6bcd\u516c\u53f8）\u53d1\u5e03\u5168\u53cc\u5de5\u8bed\u97f3\u6a21\u578b Dessa\u3002\u5b98\u65b9\u53e3\u5f84\u5f88\u5927：\u201c\u53f2\u4e0a\u6700\u771f\u5b9e\u7684\u5168\u53cc\u5de5\u8bed\u97f3\u6a21\u578b\u201d\u3001\u201c\u5168\u7403\u7b2c\u4e00\u4e2a\u5b8c\u5168\u53ea\u7528\u4eba\u7c7b\u8bed\u97f3\u8bad\u7ec3\u3001\u96f6\u6587\u672c\u6570\u636e\u7684 AI \u6a21\u578b\u201d\u3002\u6837\u4f8b\u91cc\u5b83\u80fd\u7b11\u3001\u80fd\u505c\u987f\u3001\u80fd\u54fd\u54bd，\u8fd8\u80fd\u5728\u5bf9\u8bdd\u4e2d\u4e3b\u52a8\u5207\u6362\u97f3\u8272\u548c\u8bed\u901f\u2014\u2014TechCrunch \u7684\u8bc4\u4ef7\u662f"eerily human"（\u50cf\u4eba\u50cf\u5f97\u7606\u4eba）\u3002<\/p>\n

\u4f46\u53d1\u5e03\u4e09\u5929，\u4f60\u80fd\u9a8c\u8bc1\u7684\u4e1c\u897f\u662f：\u96f6\u3002\u6ca1\u6709\u53c2\u6570\u89c4\u6a21，\u6ca1\u6709\u57fa\u51c6\u5206\u6570，\u6ca1\u6709\u516c\u5f00\u8bd5\u7528，\u8fde demo \u90fd\u662f\u5b98\u65b9\u526a\u8f91\u597d\u7684\u5f55\u97f3\u3002\u8fd9\u4e0d\u662f\u8bc4\u5206\u8868\u9f50\u5168\u7684\u6a21\u578b\u53d1\u5e03，\u8fd9\u662f\u4e00\u652f\u52a0\u4e86\u5b57\u5e55\u7684\u5ba3\u4f20\u7247\u3002<\/p>\n

\u6709\u610f\u601d\u7684\u662f，\u8fd9\u53ef\u80fd\u662f\u4eca\u5e74\u8bed\u97f3\u8d5b\u9053\u6700\u503c\u5f97\u76ef\u7684\u53d1\u5e03\u4e4b\u4e00\u3002<\/p>\n

\n

\u61d2\u4eba\u7248：30 \u79d2\u770b\u5b8c<\/h3>\n\n\u4e8b\u9879\u7ed3\u8bba\u53e3\u5f84<\/tr>\n\n\n\n\n\n\n\n\n\n
\u67b6\u6784<\/td>\n\u5168\u53cc\u5de5 speech-to-speech，\u8fb9\u8bf4\u8fb9\u542c，\u5168\u7a0b\u96f6\u6587\u672c token<\/td>\n\u5b98\u65b9\u5ba3\u79f0，\u65e0\u6280\u672f\u62a5\u544a<\/td>\n<\/tr>\n
\u8bad\u7ec3\u6570\u636e<\/td>\n\u4ec5\u4eba\u7c7b\u5bf9\u8bdd\u5f55\u97f3，\u65e0\u6587\u672c\u3001\u65e0\u9884\u8bad\u7ec3\u6a21\u578b\u5e95\u5ea7<\/td>\n\u5b98\u65b9\u5ba3\u79f0，\u65e0\u6cd5\u72ec\u7acb\u9a8c\u8bc1<\/td>\n<\/tr>\n
\u60c5\u7eea\u8868\u8fbe<\/td>\n\u5ba3\u79f0"\u539f\u751f\u5185\u7f6e"，\u975e\u8bed\u97f3\u6807\u7b7e\u8c03\u63a7<\/td>\n\u5b98\u65b9\u5ba3\u79f0，\u5e95\u5c42\u673a\u5236\u672a\u516c\u5f00<\/td>\n<\/tr>\n
\u57fa\u51c6\u5206\u6570<\/td>\n\u6ca1\u6709\u53d1\u5e03\u4efb\u4f55\u8dd1\u5206<\/td>\n\u2014<\/td>\n<\/tr>\n
\u53c2\u6570\/\u7b97\u529b<\/td>\n\u53c2\u6570\u672a\u516c\u5f00；\u5ba3\u79f0\u4ec5\u7528"\u4e00\u7ec4\u82f1\u4f1f\u8fbe GPU \u673a\u67b6"\u8bad\u5b8c<\/td>\n\u5b98\u65b9\u5ba3\u79f0<\/td>\n<\/tr>\n
\u7aef\u4fa7\u8fd0\u884c<\/td>\nM4 Max \u53ca\u4ee5\u4e0a MacBook \u53ef\u672c\u5730\u8dd1<\/td>\n\u5b98\u65b9\u5ba3\u79f0<\/td>\n<\/tr>\n
\u516c\u5f00\u7a0b\u5ea6<\/td>\n\u4e0d\u5f00\u653e\u8bd5\u7528，\u4ec5\u5411\u5b89\u5168\u7814\u7a76\u8005\u53d1\u9080\u8bf7 + waitlist<\/td>\n\u5b98\u65b9\u786e\u8ba4<\/td>\n<\/tr>\n
\u72ec\u7acb\u9a8c\u8bc1<\/td>\n\u96f6\u3002\u6240\u6709\u4f53\u9a8c\u8bc1\u636e\u5747\u6765\u81ea\u5b98\u65b9\u6837\u4f8b<\/td>\n\u2014<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

\u4e00\u3001Dessa \u5230\u5e95\u662f\u4ec0\u4e48：\u628a"\u6587\u672c\u4e2d\u95f4\u5c42"\u6574\u4e2a\u5220\u6389<\/h3>\n

Block \u5bf9\u73b0\u6709\u8bed\u97f3 AI \u7684\u6279\u8bc4\u5199\u5728\u535a\u5ba2\u91cc，\u7ffb\u8bd1\u6210\u6280\u672f\u8bed\u8a00\u5c31\u662f：\u4e3b\u6d41\u94fe\u8def\u662f"\u8bed\u97f3\u2192ASR \u8f6c\u6587\u672c\u2192LLM \u63a8\u7406\u2192TTS \u5408\u6210"，\u60c5\u7eea\u3001\u505c\u987f\u3001\u7b11\u58f0\u8fd9\u4e9b\u6587\u672c\u627f\u8f7d\u4e0d\u4e86\u7684\u4fe1\u606f\u5728\u7b2c\u4e00\u6b65\u5c31\u4e22\u4e86\u3002ElevenLabs v4\u3001Fish Audio Drama 3 \u8fd9\u7c7b\u4ea7\u54c1\u9760\u6253\u8bed\u97f3\u6807\u7b7e\u6765\u8865\u60c5\u7eea，\u672c\u8d28\u8fd8\u662f\u6587\u672c\u9a71\u52a8\u7684\u8d34\u819c\u3002<\/p>\n

Dessa \u7684\u5ba3\u79f0\u6fc0\u8fdb\u5f97\u591a：speech-to-speech \u7aef\u5230\u7aef，\u5168\u7a0b\u4e0d\u843d\u6587\u672c\u3002\u5b83\u50cf\u4eba\u4e00\u6837\u9760"\u542c"\u5b66\u4f1a\u8bf4\u8bdd，\u77e5\u9053\u4ec0\u4e48\u65f6\u5019\u63d2\u8bdd\u3001\u4ec0\u4e48\u65f6\u5019\u6c89\u9ed8，\u8fde\u81ea\u5df1\u7684\u97f3\u8272\u548c"\u4eba\u8bbe"\u90fd\u662f\u6a21\u578b\u81ea\u5df1\u9009\u7684\u3002\u77e5\u8bc6\u4e5f\u6765\u81ea\u8bad\u7ec3\u5bf9\u8bdd\u8bed\u6599\u672c\u8eab\u2014\u2014\u8fd9\u610f\u5473\u7740\u5b83\u6ca1\u6709\u6302 LLM \u77e5\u8bc6\u5e93，\u662f\u4e00\u4e2a\u7eaf\u4f1a\u8bdd\u6a21\u578b\u3002<\/p>\n

\u5168\u53cc\u5de5\u4e0d\u662f Dessa \u9996\u521b\u3002OpenAI \u4eca\u5e74 7 \u6708 8 \u65e5\u53d1\u5e03\u7684 GPT-Live \u5c31\u662f\u5168\u53cc\u5de5\u67b6\u6784，9 \u6708\u5f00\u653e API\u3002\u4f46\u4e24\u8005\u7684\u6253\u6cd5\u5dee\u5f02\u5f88\u6709\u610f\u601d：<\/p>\n\n\u7ef4\u5ea6Dessa（Block，10\/23）GPT-Live-1（OpenAI，7\/8 \u53d1\u5e03，9\/10 API）\u53e3\u5f84<\/tr>\n\n\n\n\n\n\n\n
\u67b6\u6784<\/td>\n\u5168\u53cc\u5de5，\u7eaf\u8bed\u97f3\u7aef\u5230\u7aef<\/td>\n\u5168\u53cc\u5de5，\u53ef\u59d4\u6d3e GPT-5.5 \u5904\u7406\u77e5\u8bc6\u4efb\u52a1<\/td>\n\u53cc\u65b9\u5b98\u65b9<\/td>\n<\/tr>\n
\u77e5\u8bc6\u6765\u6e90<\/td>\n\u4ec5\u8bad\u7ec3\u5bf9\u8bdd\u8bed\u6599<\/td>\n\u6302\u63a5 GPT-5.5 \u667a\u80fd\u5e95\u5ea7<\/td>\n\u53cc\u65b9\u5b98\u65b9<\/td>\n<\/tr>\n
\u60c5\u7eea<\/td>\n\u5ba3\u79f0\u539f\u751f\u5185\u7f6e<\/td>\n\u652f\u6301（\u6f14\u793a\u542b\u7b11\u58f0\/\u505c\u987f）<\/td>\n\u53cc\u65b9\u5b98\u65b9<\/td>\n<\/tr>\n
\u90e8\u7f72<\/td>\nMacBook \u672c\u5730（M4 Max+）<\/td>\n\u4e91\u7aef API，$0.05\/\u5206\u949f<\/td>\n\u53cc\u65b9\u5b98\u65b9<\/td>\n<\/tr>\n
\u8dd1\u5206<\/td>\n\u65e0<\/td>\nFull Duplex Bench 86.2（vs Realtime-2.1 \u7684 45.7）<\/td>\nOpenAI \u81ea\u62a5<\/td>\n<\/tr>\n
\u53ef\u7528\u6027<\/td>\n\u4ec5\u5b89\u5168\u7814\u7a76\u8005\u5185\u6d4b<\/td>\n\u5df2\u5546\u7528<\/td>\n\u53cc\u65b9\u5b98\u65b9<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u4e00\u53e5\u8bdd：OpenAI \u7528\u5927\u6a21\u578b\u515c\u77e5\u8bc6\u3001\u5356 API；Block \u5220\u6389\u5927\u8111\u6362\u6765\u7aef\u4fa7\u90e8\u7f72\u6743\u3002\u4e00\u4e2a\u5f80"\u66f4\u806a\u660e"\u5377，\u4e00\u4e2a\u5f80"\u66f4\u50cf\u4eba+\u66f4\u4fbf\u5b9c"\u5377\u3002<\/p>\n

\u4e8c\u3001\u4e09\u96f6\u53d1\u5e03：\u4e3a\u4ec0\u4e48\u8bf4"\u6ca1\u6709\u6570\u636e"\u672c\u8eab\u5c31\u662f\u6570\u636e<\/h3>\n

\u6309\u6211\u4eec\u62c6\u6a21\u578b\u7684\u60ef\u4f8b，\u5206\u6570\u8868\u5148\u770b\u53e3\u5f84\u3002Dessa \u7684\u5206\u6570\u8868\u662f\u7a7a\u7684，\u4e8e\u662f\u6bcf\u4e2a\u5b98\u65b9\u5ba3\u79f0\u90fd\u53ea\u80fd\u6807"\u81ea\u62a5\u3001\u4e0d\u53ef\u9a8c\u8bc1"：<\/p>\n

  • "\u6700\u771f\u5b9e"\u6ca1\u6709\u88c1\u5224\u3002 OpenAI \u597d\u6b79\u81ea\u62a5\u4e86 Full Duplex Bench 86.2%，Dessa \u8fde\u81ea\u5efa\u7684\u5377\u5b50\u90fd\u6ca1\u6709\u3002\u6837\u4f8b\u5168\u662f\u4ece\u771f\u5b9e\u5bf9\u8bdd\u91cc\u526a\u51fa\u6765\u7684\u2014\u2014HN \u4e0a\u7684\u7b2c\u4e00\u6761\u70ed\u8bc4\u5c31\u70b9\u7834\u4e86：\u5982\u679c\u662f\u968f\u673a\u5f00\u804a\u7684\u5bf9\u8bdd，Block \u5927\u6982\u7387\u5f55\u4e86\u5927\u91cf\u65e0\u804a\u7d20\u6750\u7136\u540e\u7cbe\u9009\u4e86\u6700\u597d\u7684\u51e0\u6bb5\u3002\u6837\u4f8b\u5373\u5e7f\u544a，\u9009\u62e9\u6027\u5c55\u793a\u662f\u8fd9\u7c7b\u53d1\u5e03\u7684\u9ed8\u8ba4\u914d\u7f6e\u3002<\/li>\n
  • "\u96f6\u6587\u672c\u8bad\u7ec3"\u662f\u5ba3\u8a00，\u4e0d\u662f\u53ef\u590d\u73b0\u5b9e\u9a8c\u3002 the-decoder \u8f6c\u8ff0\u7684"\u5168\u7403\u7b2c\u4e00\u4e2a\u7eaf\u8bed\u97f3\u8bad\u7ec3\u6a21\u578b"\u6765\u81ea Block \u81ea\u5df1\u7684\u535a\u5ba2\u3002\u4e00\u4e2a\u7eaf\u8bed\u97f3\u6a21\u578b\u80fd\u804a\u51fa"\u5de5\u4f5c\u5f88\u7d2f"\u8fd9\u79cd\u5e26\u4e0a\u4e0b\u6587\u7684\u5185\u5bb9，HN \u5df2\u6709\u4eba\u6000\u7591\u5b83\u5b9e\u9645\u80cc\u7740\u67d0\u79cd\u9690\u85cf\u6587\u672c\u8868\u5f81\u2014\u2014"\u96f6\u6587\u672c"\u5230\u5e95\u662f\u67b6\u6784\u4e8b\u5b9e\u8fd8\u662f\u8425\u9500\u8bdd\u672f，\u6ca1\u6709\u6280\u672f\u62a5\u544a\u5c31\u65e0\u4ece\u5224\u65ad\u3002<\/li>\n
  • "\u4e00\u7ec4 GPU \u673a\u67b6"\u7684\u8bad\u7ec3\u6210\u672c\u5ba3\u79f0 If \u5c5e\u5b9e，\u6697\u793a\u8bed\u97f3\u6a21\u6001\u7684Scaling Law\u548c\u6587\u672c\u4e0d\u662f\u4e00\u4e2a\u91cf\u7ea7\u2014\u2014\u4f46\u540c\u6837\u53ea\u662f\u4e00\u53e5\u8bdd\u3002<\/li>\n

    \u8fd9\u91cc\u6709\u4e2a\u719f\u6089\u7684\u7ed3\u6784：Block \u628a\u6240\u6709\u53ef\u9a8c\u8bc1\u6027\u63a8\u8fdf\u5230\u4e86"\u5b89\u5168\u7814\u7a76\u8005\u5185\u6d4b"\u9636\u6bb5，\u548c\u6a21\u578b\u53d1\u5e03\u53ea\u653e\u6837\u4f8b\u4e0d\u653e\u6743\u91cd\u7684\u64cd\u4f5c\u540c\u6784\u2014\u2014\u5148\u4f20\u64ad\u4f53\u9a8c，\u540e\u5151\u73b0\u8bc1\u636e\u3002<\/p>\n

    \u4e09\u3001\u4f46\u662f，\u91d1\u878d\u516c\u53f8\u505a\u8bed\u97f3\u6a21\u578b\u8fd9\u4ef6\u4e8b，\u903b\u8f91\u6bd4\u6a21\u578b\u786c<\/h3>\n

    \u522b\u88ab"\u652f\u4ed8\u516c\u53f8\u8de8\u754c"\u7684\u53d9\u4e8b\u5e26\u504f\u3002Block \u7684\u7b97\u76d8\u5728\u901a\u7a3f\u6700\u540e\u4e00\u6bb5：Square \u5df2\u7ecf\u5728\u7528\u8bed\u97f3 AI \u5904\u7406\u5546\u6237\u4e0b\u5355，\u81ea\u7814\u7aef\u4fa7\u6a21\u578b\u610f\u5473\u7740\u2014\u2014<\/p>\n\n\u6210\u672c\u9879\u4e91\u7aef API \u8def\u7ebf（GPT-Live-1）\u7aef\u4fa7\u81ea\u7814\u8def\u7ebf（Dessa \u65b9\u5411）<\/tr>\n\n\n\n\n\n
    \u5355\u6b21\u4f1a\u8bdd\u6210\u672c<\/td>\n$0.05\/\u5206\u949f\u8d77，\u968f\u91cf\u7ebf\u6027\u589e\u957f<\/td>\n\u8fb9\u9645\u6210\u672c\u8d8b\u8fd1\u4e8e\u96f6（\u7528\u6237\u81ea\u5df1\u7684\u8bbe\u5907）<\/td>\n<\/tr>\n
    \u90e8\u7f72\u95e8\u69db<\/td>\n\u9700\u8054\u7f51+\u4e91\u8d44\u6e90<\/td>\nM4 Max \u8d77\u6b65\u7684\u6d88\u8d39\u7ea7\u786c\u4ef6<\/td>\n<\/tr>\n
    \u6570\u636e\u5408\u89c4<\/td>\n\u8bed\u97f3\u6570\u636e\u51fa\u5883<\/td>\n\u672c\u5730\u95ed\u73af，\u91d1\u878d\u573a\u666f\u5929\u7136\u53cb\u597d<\/td>\n<\/tr>\n
    \u9002\u7528\u89c4\u6a21<\/td>\n\u5168\u91cf\u7528\u6237<\/td>\n\u9ad8\u7aef\u8bbe\u5907\u7528\u6237\u5148\u884c<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \u4e00\u5bb6\u670d\u52a1\u5c0f\u5fae\u5546\u6237\u7684\u91d1\u878d\u516c\u53f8，\u8bed\u97f3\u5ba2\u670d\/\u4e0b\u5355\u662f\u5343\u4e07\u7ea7\u65e5\u9891\u573a\u666f\u3002\u6309 $0.05\/\u5206\u949f\u7b97，\u6bcf\u5929\u767e\u4e07\u5206\u949f\u5c31\u662f 5 \u4e07\u7f8e\u5143\u2014\u2014\u7aef\u4fa7\u5316\u7701\u4e0b\u7684\u4e0d\u662f\u96f6\u82b1\u94b1，\u662f\u4e00\u6574\u6761\u6210\u672c\u7ebf\u3002Dessa \u4e0e\u5176\u8bf4\u662f\u6280\u672f\u53d1\u5e03，\u4e0d\u5982\u8bf4\u662f\u628a\u8bed\u97f3 AI \u7684\u8fb9\u9645\u6210\u672c\u6253\u8fdb\u5546\u6237\u786c\u4ef6\u91cc\u7684\u524d\u7f6e\u5e03\u5c40\u3002Dorsey \u4e00\u8d2f\u7684\u672c\u5730\u5316\/\u53cd\u4e91\u7aef\u7acb\u573a（Bitcoin \u6d3e\u7cfb\u5ba1\u7f8e）\u5728\u8fd9\u91cc\u548c\u5546\u4e1a\u8d26\u672c\u5b8c\u7f8e\u5bf9\u9f50\u3002<\/p>\n

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    \n

    \u6240\u4ee5\u5462<\/h3>\n

    \u4e09\u53e5\u8bdd：<\/p>\n

  • \u5bf9\u4ece\u4e1a\u8005：\u5168\u53cc\u5de5\u7aef\u5230\u7aef + \u96f6\u6587\u672c token \u662f\u8bed\u97f3\u8d5b\u9053\u771f\u5b9e\u7684\u6280\u672f\u5206\u5c94\u53e3，\u4f46 Dessa \u76ee\u524d\u662f\u4e00\u4efd"\u4f53\u9a8c\u89c6\u9891 + \u5ba3\u8a00"，\u7b49\u5b83\u653e\u6280\u672f\u62a5\u544a\u6216\u5185\u6d4b\u6d41\u51fa\u518d\u4e0b\u5224\u65ad；GPT-Live-1 \u7684 Full Duplex Bench 86.2 \u4e5f\u662f OpenAI \u81ea\u62a5，\u5168\u53cc\u5de5\u8fd9\u4e2a\u65b0\u54c1\u7c7b\u81f3\u4eca\u6ca1\u6709\u7b2c\u4e09\u65b9\u8003\u573a\u3002<\/li>\n
  • \u5bf9\u884c\u4e1a：\u8bed\u97f3 AI \u7684\u7ade\u4e89\u7ef4\u5ea6\u6b63\u5728\u4ece"\u66f4\u806a\u660e"（\u6302 LLM）\u8f6c\u5411"\u66f4\u50cf\u4eba + \u8fb9\u9645\u6210\u672c\u5f52\u96f6"（\u7eaf\u7aef\u4fa7）\u2014\u2014\u652f\u4ed8\u516c\u53f8\u5165\u573a\u8bf4\u660e\u8fd9\u4e0d\u518d\u662f\u7814\u7a76\u9879\u76ee，\u662f\u6210\u672c\u4e2d\u5fc3\u8fc1\u79fb\u3002\u503c\u5f97\u8ffd\u7684\u8282\u70b9：Dessa \u662f\u5426\u5f00\u6e90\/\u653e\u6743\u91cd（Block \u6709 Square \u5f00\u6e90\u7684\u4f20\u7edf）\u3001\u5b89\u5168\u5185\u6d4b\u6301\u7eed\u591a\u4e45\u3001waitlist \u4f55\u65f6\u653e\u91cf\u3001OpenAI \u662f\u5426\u8ddf\u8fdb\u7aef\u4fa7\u5c0f\u6a21\u578b\u7248 GPT-Live\u3002<\/li>\n
  • \u5bf9\u666e\u901a\u7528\u6237：\u63a5\u4e0b\u6765\u534a\u5e74，"\u7535\u8bdd\u90a3\u5934\u542c\u8d77\u6765\u5f88\u75b2\u60eb\/\u54fd\u54bd\/\u771f\u8bda"\u7684\u58f0\u97f3，AI \u4e5f\u80fd\u6f14\u3002\u63a5\u5230\u60c5\u7eea\u5f3a\u70c8\u7684\u8bed\u97f3\u8bf7\u6c42\u8f6c\u8d26\u65f6，\u9ed8\u8ba4\u6309\u8bc8\u9a97\u5904\u7406\u2014\u2014\u8fd9\u4e2a\u6a21\u578b\u8fd8\u6ca1\u5f00\u653e，\u4f46\u5b83\u7684\u540c\u7c7b\u5f88\u5feb\u4f1a\u3002<\/li>\n
    \n

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