{"id":28686,"date":"2026-01-12T08:06:29","date_gmt":"2026-01-12T00:06:29","guid":{"rendered":"https:\/\/aif.amtbbs.org\/?p=28686"},"modified":"2026-01-12T08:06:29","modified_gmt":"2026-01-12T00:06:29","slug":"gpt-5-2%e8%80%83%e8%b5%a2%e4%ba%ba%e7%b1%bb%ef%bc%81openai%e8%ad%a6%e5%91%8a%ef%bc%9a%e5%a4%a7%e6%a8%a1%e5%9e%8b%e8%83%bd%e5%8a%9b%e5%b7%b2%e8%bf%87%e5%89%a9%ef%bc%8cagi%e5%a4%a9%e8%8a%b1%e6%9d%bf","status":"publish","type":"post","link":"https:\/\/aif.amtbbs.org\/index.php\/2026\/01\/12\/28686\/","title":{"rendered":"GPT-5.2\u8003\u8d62\u4eba\u7c7b\uff01OpenAI\u8b66\u544a\uff1a\u5927\u6a21\u578b\u80fd\u529b\u5df2\u8fc7\u5269\uff0cAGI\u5929\u82b1\u677f\u4e0d\u662fAI"},"content":{"rendered":"
\u5982\u540c\u667a\u80fd\u624b\u673a\u4e00\u6837\uff0c\u5927\u6a21\u578b\u4e5f\u8fdb\u5165\u4e86\u4e00\u4e2a\u300c\u80fd\u529b\u8fc7\u5269\u300d\u65f6\u4ee3\uff0c\u5373\u5927\u6a21\u578b\u672c\u8eab\u7684\u80fd\u529b\u4e0e\u4eba\u7c7b\u4f7f\u7528\u65b9\u5f0f\u4e4b\u95f4\u5b58\u5728\u7740\u5de8\u5927\u65ad\u5c42\u3002<\/div>\n
\n
\n

GPT-5.2\u5237\u65b0\u4e86\u4e00\u9879\u65b0\u7eaa\u5f55\uff01<\/p>\n

\"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

OpenAI\u8054\u5408\u521b\u59cb\u4ebaGreg Brockman\u53d1\u5e16\u79f0\u4f7f\u7528GPT-5.2\u5728ARC-AGI-2\u57fa\u51c6\u6d4b\u8bd5\u4e0a\uff0c\u8868\u73b0\u8d85\u8fc7\u4e86\u4eba\u7c7b\u57fa\u7ebf\u6c34\u5e73\u3002<\/p>\n

\u5728\u57fa\u51c6\u6d4b\u8bd5\u65f6\u6280\u80fd\u7206\u8868\uff0c\u4f46\u4e00\u5230\u5b9e\u9645\u5e94\u7528\u5c31\u300c\u6389\u94fe\u5b50\u300d\uff0cOpenAI\u524d\u9996\u5e2d\u79d1\u5b66\u5bb6Ilya Sutskever\u63d0\u5230\u7684\u8fd9\u79cd\u5927\u6a21\u578b\u300c\u6027\u80fd\u6096\u8bba\u300d\u6211\u4eec\u5e76\u4e0d\u964c\u751f\u3002<\/p>\n

\u8fd9\u4e5f\u662fAGI\u8bc4\u4f30\u9886\u57df\u4e00\u4e2a\u957f\u671f\u5b58\u5728\u7684\u96be\u9898\u2014\u2014\u5982\u4f55\u533a\u5206\u5927\u6a21\u578b\u300c\u771f\u6b63\u7684\u63a8\u7406\u80fd\u529b\u300d\u4e0e\u300c\u5237\u9898\u578b\u80fd\u529b\u300d\u3002<\/p>\n

\u800cARC-AGI-2\u7684\u51fa\u73b0\u6b63\u597d\u6253\u7834\u4e86\u8fd9\u4e00\u96be\u9898\u3002<\/p>\n

ARC-AGI-2\u7684\u5168\u79f0\u4e3a\u300cAbstraction and Reasoning Corpus for Artificial General Intelligence-Version 2\u300d\uff0c\u662fARC\u7cfb\u5217\u57fa\u51c6\u7684\u6700\u65b0\u5347\u7ea7\u7248\u672c\u3002<\/p>\n

\u8be5\u57fa\u51c6\u7531Fran\u00e7ois Chollet\uff08Keras\u4e4b\u7236\u3001\u524dGoogle Brain\u7814\u7a76\u5458\uff09\u53ca\u5176\u56e2\u961f\u57282025\u5e74\u63a8\u51fa\uff0c\u5176\u8bbe\u8ba1\u521d\u8877\u5341\u5206\u660e\u786e\uff1a<\/p>\n

\u6d4b\u8bd5AI\u662f\u5426\u5177\u5907AGI\u6240\u5fc5\u9700\u7684\u62bd\u8c61\u3001\u5f52\u7eb3\u4e0e\u8fc1\u79fb\u63a8\u7406\u80fd\u529b\uff0c\u800c\u975e\u8bb0\u5fc6\u6216\u7edf\u8ba1\u6a21\u5f0f\u5339\u914d\u3002<\/p>\n

ARC\u7cfb\u5217\u4e0e\u4f20\u7edfNLP\u6216\u591a\u6a21\u6001benchmark\u6700\u5927\u7684\u4e0d\u540c\u5728\u4e8e\uff1a\u5b83\u6ca1\u6709\u5927\u89c4\u6a21\u8bad\u7ec3\u96c6\uff0c\u6bcf\u9053\u9898\u76ee\u90fd\u662f\u4ece\u672a\u89c1\u8fc7\u7684\u65b0\u4efb\u52a1\uff0c\u56e0\u6b64\u4e0d\u5b58\u5728\u901a\u8fc7\u300c\u5237\u6570\u636e\u300d\u83b7\u5f97\u9ad8\u5206\u7684\u53ef\u80fd\u3002<\/p>\n

\u5b83\u8981\u6c42AI\u50cf\u4eba\u7c7b\u4e00\u6837\u5177\u5907\u771f\u6b63\u7684\u63a8\u7406\u548c\u4e3e\u4e00\u53cd\u4e09\u7684\u80fd\u529b\u3002<\/p>\n

Chollet\u66fe\u591a\u6b21\u516c\u5f00\u8868\u793a\uff0c\u5982\u679c\u4e00\u4e2a\u7cfb\u7edf\u53ea\u80fd\u5728\u89c1\u8fc7\u7684\u6570\u636e\u5206\u5e03\u4e0a\u8868\u73b0\u826f\u597d\uff0c\u90a3\u5b83\u5e76\u4e0d\u5177\u5907AGI\u6240\u9700\u7684\u80fd\u529b\u3002<\/p>\n

\u56e0\u6b64\uff0cARC\u57fa\u51c6\u6d4b\u8bd5\u521a\u597d\u76f4\u51fb\u5927\u6a21\u578b\u7684\u300c\u8f6f\u808b\u300d\u3002<\/p>\n

\u4ece\u300c\u53ca\u683c\u300d\u5230\u300c\u4f18\u7b49\u751f\u300d\uff0c\u4e00\u6b21\u5173\u952e\u8de8\u8d8a<\/h4>\n

\"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

\u65b0\u7eaa\u5f55\u7684\u5237\u65b0\u8005\uff0c\u5e76\u975e\u5355\u4e00\u6a21\u578b\uff0c\u800c\u662f\u4e00\u4e2a\u540d\u4e3aPoetiq\uff08GPT-5.2X-High\uff09\u7684\u7cfb\u7edf\u3002<\/p>\n

Poetiq\u662f\u4e00\u5bb6\u4e13\u6ce8\u4e8e\u5143\u7cfb\u7edf\uff08Meta-System\uff09\u67b6\u6784\u7684AI\u516c\u53f8\u3002<\/p>\n

\u5176\u6838\u5fc3\u7406\u5ff5\u5e76\u4e0d\u662f\u8bad\u7ec3\u4e00\u4e2a\u66f4\u5927\u7684\u6a21\u578b\uff0c\u800c\u662f\u901a\u8fc7\u8f6f\u4ef6\u5c42\u9762\u7684\u7cfb\u7edf\u8bbe\u8ba1\uff0c\u81ea\u52a8\u6784\u5efa\u300c\u4f1a\u8c03\u7528\u6a21\u578b\u7684\u7cfb\u7edf\u300d\u3002<\/p>\n

Poetiq\uff08GPT-5.2X-High\uff09\u5728ARC-AGI-2\u6570\u636e\u96c6\u4e0a\u5b9e\u73b0\u4e8675%\u51c6\u786e\u7387\uff0c\u6bcf\u95ee\u9898\u6210\u672c\u4e0d\u52308\u7f8e\u5143\uff0c\u8d85\u8d8a\u524dSOTA 15\u4e2a\u767e\u5206\u70b9\u3002<\/p>\n

\u5728Poetiq\uff08GPT-5.2X-High\uff09\u7cfb\u7edf\u51fa\u73b0\u4e4b\u524d\uff0cGPT-5.2(X-High)\u5df2\u7ecf\u975e\u5e38\u63a5\u8fd1\u4eba\u7c7b\u5e73\u5747\u6c34\u5e73\u3002<\/p>\n

ARC-AGI-2\u699c\u5355\u4e2d\uff0c\u4eba\u7c7b\u5e73\u5747\u51c6\u786e\u7387\u7ea6\u4e3a60%\uff0cGPT-5.2X-High\u7684\u6210\u7ee9\u4e0e\u4e4b\u51e0\u4e4e\u6301\u5e73\uff0c\u4ee3\u8868\u4e86\u5f53\u65f6AI\u5728\u8be5\u57fa\u51c6\u4e0a\u7684\u6700\u5f3a\u63a8\u7406\u80fd\u529b\u3002<\/p>\n

\u4f46Poetiq\u7684\u52a0\u5165\uff0c\u4f7fGPT-5.2(X-High)\u7684\u5f97\u5206\u4ece60%\u76f4\u63a5\u62c9\u5347\u5230\u4e8675%\uff0c\u4ece\u52c9\u5f3a\u53ca\u683c\uff08\u4eba\u7c7b\u5e73\u5747\u6c34\u5e73\uff09\u8fc8\u5165\u4e86\u4f18\u7b49\u751f\u7684\u884c\u5217\uff08\u663e\u8457\u8d85\u8d8a\u4eba\u7c7b\u5e73\u5747\u6c34\u5e73\uff09\u3002<\/p>\n

\u5728\u540c\u4e00\u699c\u5355\u4e0a\uff0c\u8fd8\u80fd\u770b\u5230Gemini 3 Deep Think\uff08Preview\uff09\u7684\u8eab\u5f71\u3002<\/p>\n

\u8be5\u6a21\u578b\u4e3b\u6253\u300c\u6df1\u5ea6\u601d\u8003\uff08Deep Think\uff09\u300d\u6280\u672f\uff0c\u5728ARC-AGI-2\u4e0a\u7684\u6210\u7ee9\u7ea6\u4e3a46%\uff0c\u660e\u663e\u843d\u540e\u4e8eGPT-5.2\u7cfb\u5217\uff0c\u5e76\u4e14\u6210\u672c\u76f8\u5bf9\u540e\u8005\u4e5f\u7565\u9ad8\u3002<\/p>\n

\"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

Poetiq\u8868\u793a\uff0c\u6574\u4e2a\u8fc7\u7a0b\u6ca1\u6709\u5bf9GPT-5.2\u8fdb\u884c\u4efb\u4f55\u8bad\u7ec3\u6216\u8005\u7279\u5b9a\u4f18\u5316\u3002<\/p>\n

\u8fd9\u6b63\u662fPoetiq\u5143\u7cfb\u7edf\u7684\u521d\u8877\uff0c\u65e8\u5728\u81ea\u52a8\u6784\u5efa\u5b8c\u6574\u7684\u7cfb\u7edf\uff0c\u901a\u8fc7\u8c03\u7528\u4efb\u4f55\u73b0\u6709\u7684\u524d\u6cbf\u6a21\u578b\u6765\u89e3\u51b3\u7279\u5b9a\u4efb\u52a1\u3002<\/p>\n

\"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

\u4ece15%\u7684\u63d0\u5347\u6570\u636e\u6765\u770b\uff0cPoetiq\u5bf9\u4e8e\u57fa\u7840\u6a21\u578b\u6027\u80fd\u7684\u63d0\u5347\u5e45\u5ea6\u8fd8\u662f\u975e\u5e38\u660e\u663e\u7684\u3002<\/p>\n

\u5b83\u7684\u5b58\u5728\u8bc1\u660e\u4e86\u4e0d\u9700\u8981\u5806\u7b97\u529b\uff0c\u901a\u8fc7\u4f18\u79c0\u7684\u8f6f\u4ef6\u67b6\u6784\u4e5f\u80fd\u5927\u5e45\u63d0\u5347AI\u6027\u80fd\u3002<\/p>\n

\u4ece\u8fd9\u4e2a\u89d2\u5ea6\u4e0a\uff0c\u5b83\u4e5f\u9a8c\u8bc1\u4e86\u63a5\u4e0b\u6765OpenAI\u7684\u4e00\u4e2a\u5224\u65ad\u2014\u2014<\/p>\n

\u5f53\u524d\u5927\u6a21\u578b\uff0c\u6b63\u9010\u6e10\u8fdb\u5165\u300c\u80fd\u529b\u8fc7\u5269\u300d\u9636\u6bb5\u3002<\/p>\n

\u5927\u6a21\u578b\u300c\u80fd\u529b\u8fc7\u5269\u300d\u65f6\u4ee3<\/h4>\n

\"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

\u5c31\u5728\u540c\u4e00\u5929\uff0cOpenAI\u5b98\u65b9\u4e5f\u5728X\u5e73\u53f0\u53d1\u5e03\u4e86\u4e00\u9879\u5173\u4e8e2026\u5e74\u7684\u9884\u6d4b\u3002<\/p>\n

\u5728\u8fd9\u6761\u63a8\u6587\u4e2d\uff0cOpenAI\u660e\u786e\u63d0\u5230\u4e00\u4e2a\u5173\u952e\u8bcd\uff1aCapability Overhang\uff08\u80fd\u529b\u8fc7\u5269\uff09\u3002<\/p>\n

\u6838\u5fc3\u610f\u601d\u662f\uff1a<\/p>\n

\u5f53\u524d\u6a21\u578b\u300c\u80fd\u591f\u505a\u5230\u7684\u4e8b\u60c5\u300d\uff0c\u4e0e\u4eba\u4eec\u300c\u5b9e\u9645\u4f7f\u7528AI\u7684\u65b9\u5f0f\u300d\uff08\u4ea7\u751f\u6548\u679c\uff09\u4e4b\u95f4\uff0c\u5b58\u5728\u5de8\u5927\u7684\u65ad\u5c42\u3002<\/p>\n

OpenAI\u8ba4\u4e3a\uff0c\u672a\u6765AGI\u7684\u8fdb\u5c55\u5c06\u4e0d\u518d\u4ec5\u53d6\u51b3\u4e8e\u6a21\u578b\u672c\u8eab\u7684\u7a81\u7834\uff0c\u8fd8\u5c06\u53d6\u51b3\u4e8e\uff1a<\/p>\n

    \n
  • \u4eba\u4eec\u662f\u5426\u77e5\u9053\u5982\u4f55\u6709\u6548\u4f7f\u7528AI<\/li>\n
  • AI\u662f\u5426\u771f\u6b63\u878d\u5165\u73b0\u5b9e\u5de5\u4f5c\u4e0e\u751f\u6d3b<\/li>\n
  • \u7cfb\u7edf\u662f\u5426\u80fd\u5c06\u6a21\u578b\u80fd\u529b\u8f6c\u5316\u4e3a\u5b9e\u9645\u4ef7\u503c<\/li>\n<\/ul>\n

    \u56e0\u6b64\uff0c\u57282026\u5e74\uff0cOpenAI\u5c06\u7ee7\u7eed\u524d\u6cbf\u7814\u7a76\uff0c\u540c\u65f6\u91cd\u70b9\u6295\u5165\u4e8e\u5e94\u7528\u5c42\u3001\u7cfb\u7edf\u5c42\u3001\u4eba\u673a\u534f\u540c\uff0c\u5c24\u5176\u5f3a\u8c03\u533b\u7597\u3001\u5546\u4e1a\u548c\u65e5\u5e38\u751f\u6d3b\u573a\u666f\u3002<\/p>\n

    \u4eba\u673a\u534f\u540c\uff0cAGI\u7684\u53e6\u4e00\u534a\u62fc\u56fe<\/h4>\n

    OpenAI\u8fd9\u7bc7\u5b98\u65b9\u63a8\u6587\u6d89\u53ca\u4e00\u4e2a\u4eba\u673a\u534f\u540c\u7684\u95ee\u9898\u3002<\/p>\n

    \u5b9e\u73b0AGI\uff0c\u662f\u9700\u8981\u6a21\u578b\u548c\u4eba\u534f\u540c\u53d1\u6325\u4f5c\u7528\uff1aAGI\u4e0d\u53ea\u9760\u6a21\u578b\u5347\u7ea7\uff0c\u66f4\u8981\u300c\u6559\u4eba\u7528AI\u300d\u3002<\/p>\n

    \u901a\u8fc7\u6b63\u786e\u7684\u4f7f\u7528AI\uff0c\u5145\u5206\u53d1\u6325\u51faAI\u7684\u6f5c\u80fd\uff0c\u8fd9\u6837\u624d\u80fd\u8ba9AI\u5f00\u59cb\u4ece\u300c\u70ab\u6280\u300d\u8f6c\u5411\u300c\u666e\u60e0\u300d\uff0c\u771f\u6b63\u5f71\u54cd\u4ebf\u4e07\u4eba\u751f\u6d3b\u3002<\/p>\n

    \u8fd9\u4e00\u89c2\u70b9\u4e5f\u5f97\u5230\u4e86\u793e\u533a\u7684\u5f3a\u70c8\u56de\u5e94\u3002<\/p>\n

    \u4e8e\u662f\uff0c\u4e50\u89c2\u7684\u7f51\u53cb\u79f0\u300c\u76f4\u63a5\u628a\u6211\u6574\u4e2a\u4eba\u81ea\u52a8\u5316\u5427\u300d\uff01<\/p>\n

    \"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

    \u4e5f\u6709\u7f51\u53cb\u63d0\u5230\uff0c\u771f\u6b63\u7684\u6311\u6218\u5728\u4e8e\u5982\u4f55\u5c06AI\u878d\u5165\u5de5\u4f5c\u6d41\u7a0b\u4e2d\uff1a\u89c1\u8fc7\u592a\u591a\u7ec4\u7ec7\u4e70\u4e86\u300cAI\u300d\uff0c\u5374\u4ece\u672a\u6539\u53d8\u4efb\u4f55\u4e00\u4e2a\u6d41\u7a0b\u3002<\/p>\n

    \"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

    \u5927\u6a21\u578b\u771f\u7684\u300c\u80fd\u529b\u8fc7\u5269\u300d\u4e86\u5417\uff1f<\/h4>\n

    \u90a3\u4e48\uff0c\u662f\u4e0d\u662f\u771f\u5982OpenAI\u6240\u8bf4\u7684\uff0c\u5927\u6a21\u578b\u7684\u80fd\u529b\u5df2\u7ecf\u8fc7\u5269\u4e86\u5462\uff1f<\/p>\n

    \u901a\u8fc7\u4e0a\u9762Poetiq\u6240\u516c\u5e03\u7684Poetiq\uff08GPT-5.2X-High\uff09\u5728ARC-AGI-2\u4e0a\u7684\u8868\u73b0\uff0c75%\u7684\u5f97\u5206\u8d85\u8fc7\u4e86\u4eba\u7c7b\u5e73\u5747\u6c34\u5e73\uff0860%\uff0915\u4e2a\u767e\u5206\u70b9\u3002<\/p>\n

    \u6b64\u524dOpenAI\u5b98\u65b9\u5728\u4ecb\u7ecdGPT-5\u65f6\u5f3a\u8c03\u5176\u5728\u89e3\u51b3\u590d\u6742\u8de8\u5b66\u79d1\u95ee\u9898\u4e0a\u8fbe\u5230\u4e86\u4e13\u5bb6\u7ea7\u57fa\u51c6\uff0c\u540e\u88ab\u5916\u754c\u5f15\u7533\u4e3a\u300c\u535a\u58eb\u7ea7\u667a\u80fd\u300d\u3002<\/p>\n

    \u8fd9\u8bf4\u660eGPT-5\u7b49\u5927\u6a21\u578b\u5728\u67d0\u4e9b\u4e13\u4e1a\u4efb\u52a1\u4e2d\u8868\u73b0\u7c7b\u4f3c\u4e8e\u4eba\u7c7b\u535a\u58eb\u7684\u4e13\u4e1a\u6c34\u5e73\u3002<\/p>\n

    \u4ece\u6a21\u578b\u672c\u8eab\u6765\u8bf4\uff0c\u4e5f\u8bb8\u5e76\u672a\u5b8c\u5168\u8fc7\u5269\uff0c\u4f46\u4ece\u300c\u672a\u88ab\u5145\u5206\u91ca\u653e\u7684\u80fd\u529b\u300d\u89d2\u5ea6\u6765\u770b\uff0c\u5df2\u7ecf\u4e25\u91cd\u8fc7\u5269\u3002<\/p>\n

    \u5176\u4e2d\uff0c\u6709\u6a21\u578b\u8bbe\u8ba1\u8005\u65b9\u7684\u539f\u56e0\uff0c\u6bd4\u5982\u4ed6\u4eec\u6ca1\u6709\u7d27\u8ddf\u7528\u6237\u7684\u4f7f\u7528\u573a\u666f\uff0c\u300c\u4e0d\u518d\u4e0e\u7528\u6237\u5e76\u80a9\u540c\u884c\u4e86\u300d\u3002<\/p>\n

    \"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

    \u4e5f\u53ef\u80fd\u7531\u4e8e\u524d\u6cbf\u6a21\u578b\u5728\u63a8\u7406\u548c\u521b\u65b0\u4e0a\u7f3a\u4e4f\u6839\u672c\u6027\u7684\u7a81\u7834\u3002<\/p>\n

    \"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

    \u8fd8\u6709\u6a21\u578b\u672c\u8eab\u8fed\u4ee3\u5f97\u592a\u5feb\uff0c\u7528\u6237\u4e0d\u5f97\u4e0d\u5728\u65e5\u5e38\u751f\u6d3b\u4e2d\u4e0d\u65ad\u5f03\u7528\u5df2\u7ecf\u300c\u6210\u529f\u4e0a\u624b\u300d\u7684\u6a21\u578b\u3002<\/p>\n

    \"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

    Poetiq \u7684\u51fa\u73b0\uff0c\u4ee5\u53caOpenAI\u5bf9\u300c\u80fd\u529b\u8fc7\u5269\u300d\u7684\u5224\u65ad\uff0c\u5171\u540c\u6307\u5411\u4e86\u672a\u6765AI\u9886\u57df\u7684\u4e00\u4e2a\u65b0\u65b9\u5411\uff1a<\/p>\n

    \u4e0b\u4e00\u9636\u6bb5\u7684AI\u7ade\u4e89\uff0c\u4e0d\u518d\u53ea\u662f\u6a21\u578b\u53c2\u6570\u4e4b\u4e89\uff0c\u800c\u662f\u7cfb\u7edf\u3001\u6d41\u7a0b\u4e0e\u4eba\u673a\u534f\u540c\u7684\u7ade\u4e89\u3002<\/p>\n

    \u53c2\u8003\u8d44\u6599\uff1a<\/h4>\n

    https:\/\/x.com\/poetiq_ai\/status\/2003546910427361402<\/p>\n

    https:\/\/x.com\/OpenAI\/status\/2003594025098785145<\/p>\n<\/div>\n<\/div>\n

     <\/p>\n

    \u6587\u7ae0\u6765\u81ea\uff1a51CTO<\/p>\n

    <\/div>\n

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    <\/div>\n","protected":false},"excerpt":{"rendered":"

    \u5982\u540c\u667a\u80fd\u624b\u673a\u4e00\u6837\uff0c\u5927\u6a21\u578b\u4e5f\u8fdb\u5165\u4e86\u4e00\u4e2a\u300c\u80fd\u529b\u8fc7\u5269\u300d\u65f6\u4ee3\uff0c\u5373\u5927\u6a21\u578b\u672c\u8eab\u7684\u80fd\u529b\u4e0e\u4eba\u7c7b\u4f7f\u7528\u65b9\u5f0f\u4e4b\u95f4\u5b58\u5728\u7740\u5de8\u5927\u65ad\u5c42\u3002 G […]<\/p>\n

    <\/div>\n

    <\/g><\/svg><\/i> \"Loading\"<\/p>\n

    <\/div>\n","protected":false},"author":56,"featured_media":28687,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[23,20,80],"tags":[2071],"class_list":["post-28686","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-23","category-20","category-80","tag-gpt-5-2openaiagi"],"_links":{"self":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/28686","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/users\/56"}],"replies":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/comments?post=28686"}],"version-history":[{"count":1,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/28686\/revisions"}],"predecessor-version":[{"id":28697,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/posts\/28686\/revisions\/28697"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/media\/28687"}],"wp:attachment":[{"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/media?parent=28686"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/categories?post=28686"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aif.amtbbs.org\/index.php\/wp-json\/wp\/v2\/tags?post=28686"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}