{"id":15609,"date":"2023-10-20T14:14:01","date_gmt":"2023-10-20T06:14:01","guid":{"rendered":"https:\/\/aif.amtbbs.org\/?p=15609"},"modified":"2023-10-20T14:14:01","modified_gmt":"2023-10-20T06:14:01","slug":"agi%e7%a6%bb%e6%88%91%e4%bb%ac%e8%bf%98%e6%9c%89%e5%a4%9a%e8%bf%9c%ef%bc%9f%e5%a4%a7%e6%a8%a1%e5%9e%8b%e4%b8%8d%e6%98%af%e6%9c%80%e7%bb%88%e8%a7%a3%ef%bc%8c%e4%b8%96%e7%95%8c%e6%a8%a1%e5%9e%8b-2","status":"publish","type":"post","link":"https:\/\/aif.amtbbs.org\/index.php\/2023\/10\/20\/15609\/","title":{"rendered":"AGI\u79bb\u6211\u4eec\u8fd8\u6709\u591a\u8fdc\uff1f\u5927\u6a21\u578b\u4e0d\u662f\u6700\u7ec8\u89e3\uff0c\u4e16\u754c\u6a21\u578b\u624d\u662f\u672a\u6765"},"content":{"rendered":"<section data-mpa-powered-by=\"yiban.io\">\u5728\u79d1\u5e7b\u7535\u5f71\u4e2d\uff0c\u7c7b\u4f3c\u4e8e\u8d3e\u7ef4\u65af\uff08J.A.R.V.I.S.\uff09\u4e00\u822c\u7684 AI \u7cfb\u7edf\uff0c\u51e0\u4e4e\u65e0\u6240\u4e0d\u80fd\uff0c\u662f\u5e2e\u52a9\u4eba\u7c7b\u89e3\u51b3\u5404\u79cd\u5404\u6837\u96be\u9898\u7684\u7ec8\u6781\u52a9\u624b\u3002<\/section>\n<section><\/section>\n<section>\u5b83\u4eec\u7684\u80cc\u540e\uff0c\u662f\u4e00\u79cd\u4eba\u4eec\u8ffd\u6c42\u6700\u9ad8\u7ea7 AI \u7684\u8ffd\u6c42\uff0c\u800c\u8fd9\u4e00\u6982\u5ff5\uff0c\u88ab\u79f0\u4e3a\u901a\u7528\u4eba\u5de5\u667a\u80fd\uff08Artificial General Intelligence\uff0cAGI\uff09\u3002<\/section>\n<section><\/section>\n<section><img data-dominant-color=\"3c2c1e\" data-has-transparency=\"true\" style=\"--dominant-color: #3c2c1e;\" loading=\"lazy\" decoding=\"async\" class=\"has-transparency alignnone size-full wp-image-15610\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/4ffce04d92a4d6cb21c1494cdfcd6dc1-35.png\" width=\"866\" height=\"393\" alt=\"\u56fe\u7247\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/4ffce04d92a4d6cb21c1494cdfcd6dc1-35.png 866w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/4ffce04d92a4d6cb21c1494cdfcd6dc1-35-300x136.png 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2023\/10\/4ffce04d92a4d6cb21c1494cdfcd6dc1-35-768x349.png 768w\" sizes=\"auto, (max-width: 866px) 100vw, 866px\" \/><\/section>\n<section><\/section>\n<section>AGI\u7684\u6982\u5ff5\u53ef\u4ee5\u8ffd\u6eaf\u523020\u4e16\u7eaa\u4e2d\u671f\uff0c\u5f53\u65f6\u8bb8\u591a\u8ba1\u7b97\u673a\u79d1\u5b66\u5bb6\u548c AI \u7814\u7a76\u4eba\u5458\u5f00\u59cb\u601d\u8003\u5982\u4f55\u6784\u5efa\u5177\u6709\u4eba\u7c7b\u667a\u80fd\u7684\u8ba1\u7b97\u673a\u7a0b\u5e8f\uff0c\u4e0e\u72ed\u4e49 AI\uff08Narrow AI\uff09\u7cfb\u7edf\u4e13\u6ce8\u4e8e\u89e3\u51b3\u7279\u5b9a\u4efb\u52a1\u4e0d\u540c\uff0cAGI\u88ab\u8d4b\u4e88\u4e86\u66f4\u5e7f\u6cdb\u7684\u8ba4\u77e5\u548c\u63a8\u7406\u80fd\u529b\uff0c\u80fd\u591f\u5728\u591a\u4e2a\u9886\u57df\u8fdb\u884c\u5b66\u4e60\u3001\u9002\u5e94\u548c\u6267\u884c\u4efb\u52a1\u3002<\/section>\n<section><\/section>\n<section>\u7136\u800c\uff0c\u5728\u5f88\u957f\u4e00\u6bb5\u65f6\u95f4\u91cc\uff0cAI \u7684\u76f8\u5173\u7814\u7a76\u4e3b\u8981\u96c6\u4e2d\u5728\u89e3\u51b3\u7279\u5b9a\u95ee\u9898\u548c\u4efb\u52a1\u4e0a\uff0c\u800cAGI\u7684\u5b9e\u73b0\u4e00\u76f4\u88ab\u8ba4\u4e3a\u662f\u4e00\u4e2a\u66f4\u4e3a\u590d\u6742\u548c\u9065\u8fdc\u7684\u76ee\u6807\u3002<\/section>\n<section><\/section>\n<section><strong>\u8fd1\u65e5\uff0c\u82b1\u65d7\u94f6\u884c\u6570\u636e\u79d1\u5b66\u526f\u603b\u88c1 Valentino Zocca \u535a\u58eb\u5728\u4e00\u7bc7\u9898\u4e3a\u300a\u6211\u4eec\u79bbAGI\u8fd8\u6709\u591a\u8fdc\uff1f\u300b\uff08How far are we from AGI?\uff09\u7684\u6587\u7ae0\u4e2d\uff0c\u5c31 AGI \u548c\u5176\u4ed6\u6709\u5173\u7684\u91cd\u8981\u8bae\u9898\u5c55\u5f00\u4e86\u6df1\u5ea6\u5206\u6790<\/strong>\u3002\u6838\u5fc3\u89c2\u70b9\u5982\u4e0b\uff1a<\/section>\n<section><\/section>\n<ul class=\"list-paddingleft-1\">\n<li>\n<section>\u4e0e\u76ee\u524d\u7684\u72ed\u4e49\u4eba\u5de5\u667a\u80fd\u76f8\u6bd4\uff0cAGI \u9700\u8981\u80fd\u591f\u5728\u591a\u4e2a\u8ba4\u77e5\u9886\u57df\u8fdb\u884c\u63a8\u7406\u548c\u5b66\u4e60\u3002\u7136\u800c\uff0c\u5b9e\u73b0 AGI \u4ecd\u7136\u5b58\u5728\u8bb8\u591a\u6311\u6218\uff0c\u5982\u6784\u5efa\u4e16\u754c\u6a21\u578b\u3001\u8fdb\u884c\u56e0\u679c\u63a8\u7406\u7b49\u3002<\/section>\n<\/li>\n<li>\n<section>\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08\u5982 GPT-4\uff09\u5728\u89e3\u51b3\u7279\u5b9a\u4efb\u52a1\u548c\u63d0\u53d6\u56e0\u679c\u5173\u7cfb\u65b9\u9762\u8868\u73b0\u51fa\u8272\uff0c\u4f46\u7f3a\u4e4f\u62bd\u8c61\u7684\u56e0\u679c\u63a8\u7406\u80fd\u529b\u3002\u5b83\u4eec\u503e\u5411\u4e8e\u4ece\u6570\u636e\u4e2d\u63d0\u53d6\u5df2\u77e5\u7684\u56e0\u679c\u6a21\u5f0f\uff0c\u800c\u65e0\u6cd5\u751f\u6210\u65b0\u7684\u56e0\u679c\u89c1\u89e3\u3002<\/section>\n<\/li>\n<li>\n<section>\u4e00\u4e9b\u7814\u7a76\u8005\u8ba4\u4e3a\uff0c\u73b0\u6709\u7684\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08\u5982 GPT-4\uff09\u53ef\u80fd\u662f\u8fc8\u5411 AGI \u7684\u4e00\u6b65\uff0c\u4f46\u4ecd\u7136\u5b58\u5728\u8bb8\u591a\u672a\u89e3\u51b3\u7684\u95ee\u9898\uff0c\u5982\u521b\u5efa\u4e16\u754c\u6a21\u578b\u3001\u5b9e\u73b0\u81ea\u6211\u63a2\u7a76\u548c\u8fdb\u884c\u56e0\u679c\u6f14\u7ece\u7b49\u3002<\/section>\n<\/li>\n<li>\n<section>\u5927\u578b\u8bed\u8a00\u6a21\u578b\u5584\u4e8e\u4ece\u6570\u636e\u4e2d\u8bc6\u522b\u548c\u63d0\u53d6\u56e0\u679c\u5173\u7cfb\uff0c\u4f46\u7f3a\u4e4f\u81ea\u5df1\u4e3b\u52a8\u63a8\u7406\u65b0\u7684\u56e0\u679c\u573a\u666f\u7684\u80fd\u529b\u3002\u5b83\u4eec\u5177\u5907\u901a\u8fc7\u89c2\u5bdf\u8fdb\u884c\u56e0\u679c\u5f52\u7eb3\u7684\u80fd\u529b\uff0c\u4f46\u4e0d\u5177\u5907\u56e0\u679c\u6f14\u7ece\u7684\u80fd\u529b\u3002<\/section>\n<\/li>\n<li>\n<section>AI \u53ef\u80fd\u65e0\u6cd5\u771f\u6b63\u201c\u5b66\u4e60\u201d\uff0c\u800c\u53ea\u80fd\u63d0\u70bc\u4fe1\u606f\u6216\u7ecf\u9a8c\u3002AI \u4e0d\u662f\u5f62\u6210\u4e00\u4e2a\u5168\u9762\u7684\u4e16\u754c\u6a21\u578b\uff0c\u800c\u662f\u521b\u5efa\u4e86\u4e00\u4e2a\u6982\u8981\u3002<\/section>\n<\/li>\n<li>\n<section>\u5c06\u5206\u6570\u5f53\u4f5c\u80fd\u529b\u7684\u6807\u5fd7\uff0cAI \u5c31\u597d\u50cf\u53ea\u770b\u5230\u4e86\u4e16\u754c\u7684\u4e00\u4e2a\u7c97\u7565\u6982\u8ff0\uff0c\u800c\u6ca1\u6709\u771f\u6b63\u7406\u89e3\u6574\u4e2a\u4e16\u754c\u7684\u672c\u8d28\u3002<\/section>\n<\/li>\n<li>\n<section>\u6211\u4eec\u4e0d\u5e94\u5c06\u667a\u80fd\u4ec5\u4ec5\u89c6\u4e3a\u4e00\u79cd\u62bd\u8c61\u7684\u80fd\u529b\uff0c\u5373\u627e\u5230\u89e3\u51b3\u4e00\u822c\u95ee\u9898\u7684\u65b9\u6cd5\uff0c\u800c\u5e94\u5c06\u5176\u770b\u4f5c\u662f\u4e00\u79cd\u5177\u4f53\u7684\u80fd\u529b\uff0c\u5373\u5c06\u4ece\u5148\u524d\u7ecf\u9a8c\u4e2d\u5b66\u4e60\u5230\u7684\u89e3\u51b3\u65b9\u6848\u5e94\u7528\u4e8e\u6211\u4eec\u6240\u5904\u73af\u5883\u4e2d\u53ef\u80fd\u51fa\u73b0\u7684\u4e0d\u540c\u60c5\u51b5\u3002<\/section>\n<\/li>\n<li>\n<section>\u53ea\u6709\u5f53\u6211\u4eec\u80fd\u591f\u521b\u9020\u51fa\u4e00\u4e2a\u53ef\u4ee5\u6000\u7591\u81ea\u8eab\u73b0\u5b9e\u7684\u7cfb\u7edf\uff0c\u8fdb\u884c\u81ea\u6211\u63a2\u7d22\uff0c\u81f3\u5c11\u80fd\u591f\u5e94\u7528\u56e0\u679c\u6f14\u7ece\u6765\u5efa\u7acb\u4e00\u4e2a\u5408\u7406\u7684\u4e16\u754c\u6a21\u578b\u65f6\uff0c\u6211\u4eec\u624d\u80fd\u771f\u6b63\u5b9e\u73b0 AGI\u3002<\/section>\n<\/li>\n<\/ul>\n<section><\/section>\n<section><strong>\u5b66\u672f\u5934\u6761\u5728\u4e0d\u6539\u53d8\u539f\u6587\u5927\u610f\u7684\u60c5\u51b5\u4e0b\uff0c\u505a\u4e86\u7b80\u5355\u7684\u7f16\u8bd1\u3002\u5185\u5bb9\u5982\u4e0b\uff1a<\/strong><\/section>\n<section><\/section>\n<section>\u5927\u7ea6 20 \u4e07\u5e74\u524d\uff0c\u6211\u4eec\u4eba\u7c7b\u5f00\u59cb\u5728\u5730\u7403\u4e0a\u884c\u8d70\uff0c\u540c\u65f6\u4e5f\u5728\u601d\u60f3\u548c\u77e5\u8bc6\u7684\u9886\u57df\u4e2d\u63a2\u7d22\u3002\u4eba\u7c7b\u5386\u53f2\u4e0a\u7684\u4e00\u7cfb\u5217\u53d1\u73b0\u548c\u53d1\u660e\u5851\u9020\u4e86\u8fd9\u6bb5\u5386\u53f2\u3002\u5176\u4e2d\u4e00\u90e8\u5206\u4e0d\u4ec5\u5f71\u54cd\u4e86\u6211\u4eec\u7684\u5386\u53f2\u8d70\u5411\uff0c\u8fd8\u6f5c\u79fb\u9ed8\u5316\u5730\u5f71\u54cd\u4e86\u6211\u4eec\u7684\u751f\u7269\u5b66\u3002\u4f8b\u5982\uff0c\u706b\u7684\u53d1\u73b0\u8d4b\u4e88\u6211\u4eec\u7956\u5148\u70f9\u996a\u98df\u7269\u7684\u80fd\u529b\uff0c\u4ece\u800c\u5c06\u70ed\u91cf\u8f6c\u79fb\u5230\u5927\u8111\u7684\u8fdb\u5316\u4e0a\uff0c\u800c\u975e\u4ec5\u7528\u4e8e\u6d88\u5316\u9053\uff0c\u8fd9\u63a8\u52a8\u4e86\u4eba\u7c7b\u667a\u529b\u7684\u8fdb\u6b65\u3002<\/section>\n<section><\/section>\n<section>\u4ece\u8f66\u8f6e\u7684\u53d1\u660e\u5230\u84b8\u6c7d\u673a\u7684\u8bde\u751f\uff0c\u4eba\u7c7b\u8fce\u6765\u4e86\u5de5\u4e1a\u9769\u547d\u3002\u5728\u8fd9\u6bb5\u53d8\u9769\u7684\u5386\u7a0b\u4e2d\uff0c\u7535\u529b\u5927\u5927\u50ac\u751f\u4e86\u6211\u4eec\u719f\u77e5\u7684\u6280\u672f\u8fdb\u6b65\u3002\u800c\u5370\u5237\u672f\u5219\u52a0\u901f\u4e86\u65b0\u601d\u60f3\u548c\u65b0\u6587\u5316\u7684\u5e7f\u6cdb\u4f20\u64ad\uff0c\u8fdb\u4e00\u6b65\u63a8\u52a8\u4e86\u521b\u65b0\u7684\u6b65\u4f10\u3002<\/section>\n<section><\/section>\n<section><strong>\u7136\u800c\uff0c\u4eba\u7c7b\u7684\u8fdb\u6b65\u5e76\u4e0d\u4ec5\u4ec5\u6e90\u4e8e\u65b0\u7684\u7269\u8d28\u53d1\u73b0\uff0c\u5b83\u8fd8\u6e90\u4e8e\u65b0\u7684\u601d\u60f3\u3002<\/strong>\u6240\u8c13\u897f\u65b9\u4e16\u754c\u7684\u5386\u53f2\uff0c\u662f\u4ece\u7f57\u9a6c\u5e1d\u56fd\u706d\u4ea1\u5230\u4e2d\u4e16\u7eaa\uff0c\u5728\u6587\u827a\u590d\u5174\u548c\u542f\u8499\u8fd0\u52a8\u671f\u95f4\u7ecf\u5386\u4e86\u4e00\u6b21\u91cd\u751f\uff0c\u5b83\u5f3a\u8c03\u4eba\u7c7b\u601d\u60f3\u7684\u4e2d\u5fc3\u5730\u4f4d\uff0c\u800c\u4e0d\u662f\u6240\u8c13\u4e07\u80fd\u7684\u795e\u7075\u3002\u7136\u800c\uff0c\u968f\u7740\u4eba\u7c7b\u77e5\u8bc6\u7684\u8fdb\u6b65\uff0c\u4eba\u7c7b\u8fd9\u5f00\u59cb\u8ba4\u8bc6\u5230\u81ea\u8eab\u7684\u6e3a\u5c0f\u3002\u5728\u82cf\u683c\u62c9\u5e95\u4e4b\u540e\u7684\u4e24\u5343\u591a\u5e74\u91cc\uff0c\u4eba\u7c7b\u5f00\u59cb\u201c\u77e5\u9053\u81ea\u5df1\u4e00\u65e0\u6240\u77e5\u201d\uff0c\u6211\u4eec\u7684\u5730\u7403\u4e0d\u518d\u88ab\u89c6\u4e3a\u5b87\u5b99\u7684\u4e2d\u5fc3\u3002\u5b87\u5b99\u672c\u8eab\u5728\u6269\u5f20\uff0c\u800c\u6211\u4eec\u53ea\u662f\u5176\u4e2d\u7684\u4e00\u7c92\u5fae\u5c18\u3002<\/section>\n<section><\/section>\n<section><\/section>\n<section><strong>\u6539\u53d8\u5bf9\u73b0\u5b9e\u7684\u770b\u6cd5<\/strong><\/section>\n<section><\/section>\n<section>\u7136\u800c\uff0c\u5c31\u91cd\u5851\u6211\u4eec\u5bf9\u4e16\u754c\u7684\u8ba4\u8bc6\u800c\u8a00\uff0c20 \u4e16\u7eaa\u53ef\u80fd\u662f\u4e89\u8bba\u6700\u591a\u7684\u4e00\u767e\u5e74\u30021931 \u5e74\uff0c\u54e5\u5fb7\u5c14\uff08Kurt G\u00f6del\uff09\u53d1\u8868\u4e86\u4e0d\u5b8c\u5907\u5b9a\u7406\u3002<\/section>\n<section>\n\u4ec5\u4ec5\u56db\u5e74\u540e\uff0c\u7231\u56e0\u65af\u5766\u3001\u6ce2\u591a\u5c14\u65af\u57fa\uff08Boris Podolsky\uff09\u548c\u7f57\u68ee\uff08Nathan Rosen\uff09\u4ee5\u201c\u5b8c\u5907\u6027\u201d\u4e3a\u4e3b\u9898\uff0c\u5728\u9898\u4e3a\u201cCan Quantum-Mechanical Description of Physical Reality Be Considered Complete\uff1f\u201d\u7684\u8bba\u6587\u4e2d\u63d0\u51fa\u4e86\u201cEPR\u540a\u8be1\u201d\u3002\u968f\u540e\uff0c\u6ce2\u5c14\uff08Niels Bohr\uff09\u5bf9\u8fd9\u7bc7\u8bba\u6587\u8fdb\u884c\u4e86\u53cd\u9a73\uff0c\u4ed6\u8bc1\u660e\u4e86\u91cf\u5b50\u7269\u7406\u5b66\u7684\u5b9e\u9645\u6709\u6548\u6027\u3002<\/section>\n<section><\/section>\n<section>\u54e5\u5fb7\u5c14\u4e0d\u5b8c\u5907\u5b9a\u7406\u8868\u660e\uff0c\u5373\u4f7f\u662f\u6570\u5b66\u4e5f\u65e0\u6cd5\u6700\u7ec8\u8bc1\u660e\u4e00\u5207\uff0c\u6211\u4eec\u603b\u4f1a\u9762\u4e34\u4e00\u4e9b\u65e0\u6cd5\u8bc1\u660e\u7684\u4e8b\u5b9e\u5b58\u5728\u7684\u60c5\u51b5\u3002\u800c\u91cf\u5b50\u7406\u8bba\u5219\u8ba4\u4e3a\uff0c\u6211\u4eec\u7684\u4e16\u754c\u7f3a\u4e4f\u786e\u5b9a\u6027\uff0c\u6211\u4eec\u65e0\u6cd5\u9884\u6d4b\u67d0\u4e9b\u4e8b\u4ef6\uff0c\u5982\u7535\u5b50\u7684\u901f\u5ea6\u548c\u4f4d\u7f6e\uff0c\u5c3d\u7ba1\u7231\u56e0\u65af\u5766\u66fe\u8bf4\u201c\u4e0a\u5e1d\u4e0d\u4f1a\u63b7\u9ab0\u5b50\u201d\u8fd9\u4e00\u8457\u540d\u7684\u7acb\u573a\u3002<strong>\u4ece\u6839\u672c\u4e0a\u8bb2\uff0c\u6211\u4eec\u7684\u5c40\u9650\u6027\u5df2\u7ecf\u8d85\u8d8a\u4e86\u4ec5\u4ec5\u9884\u6d4b\u6216\u7406\u89e3\u7269\u7406\u9886\u57df\u5185\u4e8b\u4ef6\u7684\u8303\u56f4\u3002<\/strong>\u5373\u4f7f\u6211\u4eec\u52aa\u529b\u6784\u5efa\u4e00\u4e2a\u5b8c\u5168\u7531\u6211\u4eec\u6240\u8bbe\u60f3\u7684\u89c4\u5219\u652f\u914d\u7684\u6570\u5b66\u5b87\u5b99\uff0c\u8fd9\u4e2a\u62bd\u8c61\u7684\u5b87\u5b99\u4ecd\u7136\u4f1a\u5b58\u5728\u4e0d\u53ef\u5426\u8ba4\u7684\u4e8b\u5b9e\u3002<\/section>\n<section><\/section>\n<section>\u7136\u800c\uff0c\u9664\u4e86\u6570\u5b66\u9648\u8ff0\u4e4b\u5916\uff0c\u6211\u4eec\u7684\u4e16\u754c\u8fd8\u5145\u6ee1\u4e86\u63cf\u8ff0\u73b0\u5b9e\u7684\u54f2\u5b66\u9648\u8ff0\uff0c\u6211\u4eec\u53d1\u73b0\u81ea\u5df1\u65e0\u6cd5\u63cf\u8ff0\u3001\u5b8c\u5168\u8868\u8fbe\u3001\u7406\u89e3\u751a\u81f3\u53ea\u662f\u5b9a\u4e49\u8fd9\u4e9b\u73b0\u5b9e\u3002<\/section>\n<section><\/section>\n<section>\u7c7b\u4f3c\u4e8e20\u4e16\u7eaa\u521d\u201c\u771f\u7406\u201d\u6982\u5ff5\u7684\u4e0d\u786e\u5b9a\u6027\uff0c\u5176\u4ed6\u8bf8\u5982\u201c\u827a\u672f\u201d\u201c\u7f8e\u201d\u548c\u201c\u751f\u547d\u201d\u7b49\u6982\u5ff5\u7684\u5b9a\u4e49\u540c\u6837\u7f3a\u4e4f\u6839\u672c\u6027\u7684\u5171\u8bc6\u3002\u7136\u800c\uff0c\u8fd9\u4e9b\u5e76\u975e\u5b64\u7acb\u7684\u6848\u4f8b\uff0c\u201c\u667a\u6167\u201d\u548c\u201c\u610f\u8bc6\u201d\u7b49\u5176\u4ed6\u6982\u5ff5\u540c\u6837\u5904\u4e8e\u8fd9\u4e00\u56f0\u5883\u4e4b\u4e2d\u3002<\/section>\n<section><\/section>\n<section><\/section>\n<section><strong>\u667a\u529b\u7684\u5b9a\u4e49<\/strong><\/section>\n<section><\/section>\n<section>\u4e3a\u4e86\u5f25\u8865\u8fd9\u4e00\u5dee\u8ddd\uff0cLegg \u548c Hutter \u4e8e 2017 \u5e74\u5728\u201cUniversal Intelligence: A Definition of Machine Intelligence\u201d\u4e2d\u63d0\u51fa\u4e86\u667a\u80fd\uff08intelligence\uff09\u7684\u5b9a\u4e49\uff1a<strong>\u8ba4\u4e3a\u201c\u667a\u80fd\u8861\u91cf\u7684\u662f\u4e00\u4e2a\u4ee3\u7406\u5728\u5404\u79cd\u73af\u5883\u4e2d\u5b9e\u73b0\u76ee\u6807\u7684\u80fd\u529b\u201d<\/strong>\u3002\u540c\u6837\uff0c\u5728\u201cProblem-Solving and Intelligence\u201d\u4e2d\uff0cHambrick\u3001Burgoyne \u548c Altmann \u8ba4\u4e3a\uff0c\u89e3\u51b3\u95ee\u9898\u7684\u80fd\u529b\u4e0d\u4ec5\u662f\u667a\u80fd\u7684\u4e00\u4e2a\u65b9\u9762\u6216\u7279\u5f81\uff0c\u800c\u4e14\u662f\u667a\u80fd\u7684\u672c\u8d28\u3002\u8fd9\u4e24\u79cd\u8bf4\u6cd5\u5728\u5b57\u9762\u4e0a\u6709\u76f8\u4f3c\u4e4b\u5904\uff0c\u56e0\u4e3a\u5b9e\u73b0\u76ee\u6807\u53ef\u4ee5\u4e0e\u89e3\u51b3\u95ee\u9898\u8054\u7cfb\u8d77\u6765\u3002<\/section>\n<section><\/section>\n<section>Gottfredson \u5728\u201cAn Editorial with 52 Signatories\u201d\u4e2d\u603b\u7ed3\u4e86\u51e0\u4f4d\u7814\u7a76\u8005\u7684\u89c2\u70b9\uff1a<strong>\u667a\u80fd\u662f\u4e00\u79cd\u975e\u5e38\u666e\u904d\u7684\u5fc3\u7406\u80fd\u529b\uff0c\u5305\u62ec\u63a8\u7406\u80fd\u529b\u3001\u8ba1\u5212\u80fd\u529b\u3001\u89e3\u51b3\u95ee\u9898\u7684\u80fd\u529b\u3001\u62bd\u8c61\u601d\u7ef4\u80fd\u529b\u3001\u7406\u89e3\u590d\u6742\u601d\u60f3\u7684\u80fd\u529b\u3001\u5feb\u901f\u5b66\u4e60\u7684\u80fd\u529b\u4ee5\u53ca\u4ece\u7ecf\u9a8c\u4e2d\u5b66\u4e60\u7684\u80fd\u529b\u3002<\/strong>\u5b83\u4e0d\u4ec5\u4ec5\u662f\u4e66\u672c\u77e5\u8bc6\u3001\u72ed\u9698\u7684\u5b66\u672f\u6280\u80fd\u6216\u5e94\u8bd5\u6280\u5de7\u3002\u76f8\u53cd\uff0c\u5b83\u53cd\u6620\u4e86\u4e00\u79cd\u66f4\u5e7f\u6cdb\u3001\u66f4\u6df1\u5c42\u6b21\u7684\u7406\u89e3\u5468\u56f4\u73af\u5883\u7684\u80fd\u529b\u3002\u4e00\u79cd\u201c\u6293\u4f4f\u201d\u201c\u7406\u89e3\u201d\u4e8b\u7269\uff0c\u6216\u8005\u201c\u6784\u601d\u201d\u5e94\u5bf9\u65b9\u6cd5\u7684\u80fd\u529b\u3002<\/section>\n<section><\/section>\n<section>\u8fd9\u4e00\u5b9a\u4e49\u5f15\u5165\u4e86\u4e24\u4e2a\u5173\u952e\u7ef4\u5ea6\uff0c\u5373\u4ece\u7ecf\u9a8c\u4e2d\u5b66\u4e60\u548c\u7406\u89e3\u5468\u56f4\u73af\u5883\u7684\u80fd\u529b\uff0c\u4ece\u800c\u4f7f\u667a\u80fd\u7684\u6982\u5ff5\u8d85\u8d8a\u4e86\u5355\u7eaf\u7684\u201c\u89e3\u51b3\u95ee\u9898\u7684\u6280\u80fd\u201d\u3002\u6362\u53e5\u8bdd\u8bf4\uff0c\u6211\u4eec\u4e0d\u5e94\u5c06\u667a\u80fd\u4ec5\u4ec5\u89c6\u4e3a\u4e00\u79cd\u62bd\u8c61\u7684\u80fd\u529b\uff0c\u5373\u627e\u5230\u89e3\u51b3\u4e00\u822c\u95ee\u9898\u7684\u65b9\u6cd5\uff0c\u800c\u5e94\u5c06\u5176\u770b\u4f5c\u662f\u4e00\u79cd\u5177\u4f53\u7684\u80fd\u529b\uff0c\u5373\u5c06\u4ece\u5148\u524d\u7ecf\u9a8c\u4e2d\u5b66\u4e60\u5230\u7684\u89e3\u51b3\u65b9\u6848\u5e94\u7528\u4e8e\u6211\u4eec\u6240\u5904\u73af\u5883\u4e2d\u53ef\u80fd\u51fa\u73b0\u7684\u4e0d\u540c\u60c5\u51b5\u3002<\/section>\n<section><\/section>\n<section>\u8fd9\u7a81\u51fa\u4e86\u667a\u80fd\u4e0e\u5b66\u4e60\u4e4b\u95f4\u7684\u5185\u5728\u8054\u7cfb\u3002\u5728\u201cHow we learn\u201d\u4e2d\uff0cStanislas Dehaene\u5c06\u5b66\u4e60\u5b9a\u4e49\u4e3a\u201c\u5b66\u4e60\u5c31\u662f\u5f62\u6210\u4e00\u4e2a\u4e16\u754c\u6a21\u578b\u201d\uff0c\u8fd9\u610f\u5473\u7740\u667a\u80fd\u4e5f\u9700\u8981\u7406\u89e3\u6211\u4eec\u5468\u56f4\u73af\u5883\u5e76\u5efa\u7acb\u4e00\u4e2a\u5185\u90e8\u6a21\u578b\u6765\u63cf\u8ff0\u5b83\u4eec\u7684\u80fd\u529b\u3002\u56e0\u6b64\uff0c<strong>\u667a\u80fd\u540c\u6837\u9700\u8981\u5177\u5907\u521b\u5efa\u4e16\u754c\u6a21\u578b\u7684\u80fd\u529b\uff0c\u5373\u4fbf\u8fd9\u79cd\u80fd\u529b\u53ef\u80fd\u5e76\u4e0d\u5168\u9762\u3002<\/strong><\/section>\n<section><\/section>\n<section><\/section>\n<section><strong>\u5f53\u524d\u7684\u673a\u5668\u6709\u591a\u667a\u80fd\uff1f<\/strong><\/section>\n<section><\/section>\n<section>\u5728\u8ba8\u8bba\u901a\u7528 AGI \u4e0e\u72ed\u4e49 AI \u65f6\uff0c\u6211\u4eec\u7ecf\u5e38\u4f1a\u5f3a\u8c03\u5b83\u4eec\u4e4b\u95f4\u7684\u533a\u522b\u3002\u72ed\u4e49 AI\uff08\u6216\u79f0\u5f31 AI\uff09\u975e\u5e38\u666e\u904d\uff0c\u4e5f\u5f88\u6210\u529f\uff0c\u5728\u7279\u5b9a\u4efb\u52a1\u4e0a\u7684\u8868\u73b0\u5f80\u5f80\u80fd\u8d85\u8d8a\u4eba\u7c7b\u3002\u4e00\u4e2a\u5f88\u597d\u7684\u4f8b\u5b50\u662f\uff0c2016 \u5e74\uff0cAlphaGo \u4ee5 4 \u6bd4 1 \u7684\u6bd4\u5206\u51fb\u8d25\u4e86\u5f53\u65f6\u7684\u56f4\u68cb\u4e16\u754c\u51a0\u519b\u674e\u4e16\u77f3\u3002\u7136\u800c\uff0c\u5373\u4fbf\u5982\u6b64\uff0c2023 \u5e74\u7684\u4e00\u4e2a\u4e8b\u4ef6\u4e5f\u51f8\u663e\u4e86\u72ed\u4e49 AI \u7684\u67d0\u4e9b\u5c40\u9650\u6027\u3002\u5728\u56f4\u68cb\u6bd4\u8d5b\u4e2d\uff0c\u4e1a\u4f59\u68cb\u624b Kellin Perline \u5229\u7528 AI \u6ca1\u6709\u53d1\u73b0\u7684\u6218\u672f\u83b7\u80dc\u3002<strong>\u53ef\u89c1\uff0cAI \u7f3a\u4e4f\u4eba\u7c7b\u8bc6\u522b\u4e0d\u5e38\u89c1\u7b56\u7565\u5e76\u505a\u51fa\u76f8\u5e94\u8c03\u6574\u7684\u80fd\u529b\u3002<\/strong><\/section>\n<section><\/section>\n<section>\u5b9e\u9645\u4e0a\uff0c\u5728\u6700\u57fa\u672c\u7684\u5c42\u9762\u4e0a\uff0c\u5373\u4f7f\u662f\u7f3a\u4e4f\u7ecf\u9a8c\u7684\u6570\u636e\u79d1\u5b66\u5bb6\u4e5f\u80fd\u660e\u767d\uff0cAI \u6240\u4f9d\u8d56\u7684\u6bcf\u4e2a\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff0c\u751a\u81f3\u5305\u62ec\u6700\u7b80\u5355\u7684\u6a21\u578b\uff0c\u90fd\u9700\u8981\u5728\u504f\u5dee\u548c\u65b9\u5dee\uff08bias and variance\uff09\u4e4b\u95f4\u53d6\u5f97\u5e73\u8861\u3002\u8fd9\u610f\u5473\u7740 AI \u9700\u8981\u4ece\u6570\u636e\u4e2d\u5b66\u4e60\uff0c\u4ee5\u4fbf\u7406\u89e3\u548c\u5f52\u7eb3\u89e3\u51b3\u65b9\u6848\uff0c\u800c\u4e0d\u662f\u6b7b\u8bb0\u786c\u80cc\u3002\u72ed\u4e49 AI \u5229\u7528\u8ba1\u7b97\u673a\u7684\u8ba1\u7b97\u80fd\u529b\u548c\u5185\u5b58\u5bb9\u91cf\uff0c\u53ef\u4ee5\u76f8\u5bf9\u8f7b\u677e\u5730\u6839\u636e\u5927\u91cf\u89c2\u5bdf\u5230\u7684\u6570\u636e\u751f\u6210\u590d\u6742\u7684\u6a21\u578b\u3002\u7136\u800c\uff0c\u4e00\u65e6\u6761\u4ef6\u7a0d\u6709\u53d8\u5316\uff0c\u8fd9\u4e9b\u6a21\u578b\u5f80\u5f80\u5c31\u65e0\u6cd5\u901a\u7528\u3002<\/section>\n<section><\/section>\n<section>\u8fd9\u5c31\u597d\u6bd4\u6211\u4eec\u6839\u636e\u89c2\u6d4b\u7ed3\u679c\u63d0\u51fa\u4e86\u4e00\u4e2a\u53ea\u5728\u5730\u7403\u4e0a\u6709\u6548\u7684\u5f15\u529b\u7406\u8bba\uff0c\u7136\u540e\u5374\u53d1\u73b0\u7269\u4f53\u5728\u6708\u7403\u4e0a\u8981\u8f7b\u5f97\u591a\u3002\u5982\u679c\u6211\u4eec\u5728\u5f15\u529b\u7406\u8bba\u77e5\u8bc6\u7684\u57fa\u7840\u4e0a\u4f7f\u7528\u53d8\u91cf\u800c\u4e0d\u662f\u6570\u5b57\uff0c\u6211\u4eec\u5c31\u4f1a\u660e\u767d\u5982\u4f55\u4f7f\u7528\u6b63\u786e\u7684\u6570\u503c\u5feb\u901f\u9884\u6d4b\u6bcf\u4e2a\u884c\u661f\u6216\u536b\u661f\u4e0a\u7684\u5f15\u529b\u5f3a\u5ea6\u3002\u4f46\u662f\uff0c\u5982\u679c\u6211\u4eec\u53ea\u4f7f\u7528\u6ca1\u6709\u7b26\u53f7\u7684\u6570\u5b57\u65b9\u7a0b\uff0c\u90a3\u4e48\u5728\u4e0d\u91cd\u5199\u8fd9\u4e9b\u65b9\u7a0b\u7684\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u5c06\u65e0\u6cd5\u6b63\u786e\u5730\u5c06\u8fd9\u4e9b\u65b9\u7a0b\u63a8\u5e7f\u5230\u5176\u4ed6\u5929\u4f53\u3002<\/section>\n<section><\/section>\n<section>\u6362\u53e5\u8bdd\u8bf4\uff0c<strong>AI \u53ef\u80fd\u65e0\u6cd5\u771f\u6b63\u201c\u5b66\u4e60\u201d\uff0c\u800c\u53ea\u80fd\u63d0\u70bc\u4fe1\u606f\u6216\u7ecf\u9a8c\u3002AI \u4e0d\u662f\u5f62\u6210\u4e00\u4e2a\u5168\u9762\u7684\u4e16\u754c\u6a21\u578b\uff0c\u800c\u662f\u521b\u5efa\u4e86\u4e00\u4e2a\u6982\u8981<\/strong>\u3002<\/section>\n<section><\/section>\n<section><\/section>\n<section><strong>\u6211\u4eec\u771f\u7684\u5b9e\u73b0\u4e86AGI\u5417\uff1f<\/strong><\/section>\n<section><\/section>\n<section><\/section>\n<section>\u4eba\u4eec\u666e\u904d\u7406\u89e3\u7684 AGI \u5b9a\u4e49\u662f\uff0cAI \u7cfb\u7edf\u80fd\u591f\u4ee5\u4eba\u7c7b\u6c34\u5e73\u6216\u66f4\u9ad8\u6c34\u5e73\u5728\u591a\u4e2a\u8ba4\u77e5\u9886\u57df\u8fdb\u884c\u7406\u89e3\u548c\u63a8\u7406\u3002\u8fd9\u4e0e\u76ee\u524d\u4e13\u95e8\u4ece\u4e8b\u7279\u5b9a\u4efb\u52a1\u7684\u72ed\u4e49 AI \u7cfb\u7edf\uff08\u5982 AlphaGo\uff09\u5f62\u6210\u4e86\u9c9c\u660e\u5bf9\u6bd4\u3002AGI \u6307\u7684\u662f\u4e00\u79cd AI \u7cfb\u7edf\uff0c\u5177\u5907\u5168\u9762\u7684\u3001\u4eba\u7c7b\u6c34\u5e73\u7684\u667a\u80fd\uff0c\u80fd\u591f\u8de8\u8d8a\u4e0d\u540c\u7684\u62bd\u8c61\u601d\u7ef4\u9886\u57df\u3002<\/section>\n<section><\/section>\n<section>\u5982\u524d\u6240\u8ff0\uff0c\u8fd9\u5c31\u8981\u6c42\u6211\u4eec\u6709\u80fd\u529b\u521b\u5efa\u4e00\u4e2a\u4e0e\u7ecf\u9a8c\u76f8\u4e00\u81f4\u7684\u4e16\u754c\u6a21\u578b\uff0c\u5e76\u5141\u8bb8\u5bf9\u9884\u6d4b\u8fdb\u884c\u51c6\u786e\u7684\u5047\u8bbe\u3002<\/section>\n<section><\/section>\n<section>\u4e0e\u5927\u591a\u6570 AI \u7814\u7a76\u4eba\u5458\u548c\u6743\u5a01\u4eba\u58eb\u7684\u89c2\u70b9\u4e00\u81f4\uff0c\u8981\u5b9e\u73b0\u771f\u6b63\u7684 AGI \u8fd8\u9700\u8981\u51e0\u5e74\u65f6\u95f4\uff0c\u5c3d\u7ba1\u5927\u5bb6\u5bf9\u5b83\u4f55\u65f6\u51fa\u73b0\u7684\u9884\u6d4b\u5404\u4e0d\u76f8\u540c\u3002\u5728\u201cAGI Safety Literature Review\u201d\u4e00\u6587\u4e2d\uff0cEveritt\u3001Lea\u3001Hutter \u63d0\u5230\uff1a\u201c\u6211\u4eec\u95ee\u4e86\u5f88\u591a\u7814\u7a76\u4eba\u5458\uff0c\u4ed6\u4eec\u8ba4\u4e3a AGI \u53ef\u80fd\u4f1a\u5728 2040-2061 \u5e74\u4e4b\u95f4\u51fa\u73b0\uff0c\u4f46\u5927\u5bb6\u7684\u731c\u6d4b\u5dee\u5f02\u5f88\u5927\uff0c\u6709\u4eba\u89c9\u5f97\u53ef\u80fd\u6c38\u8fdc\u4e0d\u4f1a\u51fa\u73b0\uff0c\u4e5f\u6709\u4eba\u89c9\u5f97\u672a\u6765\u51e0\u5e74\u53ef\u80fd\u5c31\u4f1a\u51fa\u73b0\u201d\u3002\u603b\u4e4b\uff0c\u53ef\u4ee5\u80af\u5b9a\u7684\u662f\uff0cAGI \u8fd8\u6ca1\u6709\u51fa\u73b0\u5728\u6211\u4eec\u8eab\u8fb9\u3002<\/section>\n<section><\/section>\n<section>\u5fae\u8f6f\u5728\u6700\u8fd1\u53d1\u8868\u7684\u201cSparks of Artificial General Intelligence: Early experiments with GPT-4\u201d\u8bba\u6587\u4e2d\u6307\u51fa\uff1a<\/section>\n<blockquote class=\"js_blockquote_wrap\" data-type=\"2\" data-url=\"\" data-author-name=\"\" data-content-utf8-length=\"241\" data-source-title=\"\">\n<section class=\"js_blockquote_digest\">\n<section>\u201c\u6211\u4eec\u8ba4\u4e3a GPT-4 \u662f\u65b0\u4e00\u6279 LLMs\u7684\u4e00\u90e8\u5206\uff0c\u5b83\u4eec\u6bd4\u4ee5\u524d\u7684 AI \u6a21\u578b\u8868\u73b0\u51fa\u66f4\u591a\u7684\u901a\u7528\u667a\u80fd\u3002\u6211\u4eec\u8ba8\u8bba\u4e86\u8fd9\u4e9b\u6a21\u578b\u4e0d\u65ad\u63d0\u5347\u7684\u80fd\u529b\u548c\u5f71\u54cd\u3002\u6211\u4eec\u8bc1\u660e\u4e86\uff0c\u9664\u4e86\u7cbe\u901a\u8bed\u8a00\u4e4b\u5916\uff0cGPT-4 \u8fd8\u80fd\u89e3\u51b3\u65b0\u9896\u800c\u56f0\u96be\u7684\u4efb\u52a1\uff0c\u8fd9\u4e9b\u4efb\u52a1\u6d89\u53ca\u6570\u5b66\u3001\u7f16\u7801\u3001\u89c6\u89c9\u3001\u533b\u5b66\u3001\u6cd5\u5f8b\u3001\u5fc3\u7406\u5b66\u7b49\uff0c\u800c\u4e14\u4e0d\u9700\u8981\u4efb\u4f55\u7279\u6b8a\u63d0\u793a\u3002\u6b64\u5916\uff0c\u5728\u6240\u6709\u8fd9\u4e9b\u4efb\u52a1\u4e2d\uff0cGPT-4 \u7684\u8868\u73b0\u90fd\u975e\u5e38\u63a5\u8fd1\u4eba\u7c7b\u6c34\u5e73\uff0c\u800c\u4e14\u5f80\u5f80\u8fdc\u8fdc\u8d85\u8fc7 ChatGPT \u7b49\u5148\u524d\u7684\u6a21\u578b\u3002\u9274\u4e8e GPT-4 \u7684\u5f3a\u5927\u80fd\u529b\uff0c\u6211\u4eec\u8ba4\u4e3a\u6709\u7406\u7531\u5c06\u5176\u89c6\u4e3a\u4e00\u4e2a\u63a5\u8fd1\uff08\u4f46\u4ecd\u4e0d\u5b8c\u6574\uff09\u7684\u901a\u7528\u4eba\u5de5\u667a\u80fd\uff08AGI\uff09\u7cfb\u7edf\u7684\u7248\u672c\u201d\u3002<\/section>\n<\/section>\n<\/blockquote>\n<section><\/section>\n<section>\u95ee\u9898\u662f\u4ec0\u4e48\uff1f\u5fae\u8f6f\u662f OpenAI \u7684\u5408\u4f5c\u4f19\u4f34\u3002<\/section>\n<section><\/section>\n<section>\u300a\u7ebd\u7ea6\u65f6\u62a5\u300b\u7684\u4e00\u7bc7\u6587\u7ae0\u63f4\u5f15\u5361\u5185\u57fa\u6885\u9686\u5927\u5b66\u6559\u6388 Maarten Sap \u7684\u8bdd\u8bf4\uff1a\u201c\u8fd9\u662f\u5176\u4e2d\u4e00\u4e9b\u5927\u516c\u53f8\u5c06\u7814\u7a76\u8bba\u6587\u683c\u5f0f\u7528\u4e8e\u516c\u5173\u5ba3\u4f20\u7684\u4e00\u4e2a\u4f8b\u5b50\u201d\u3002\u7814\u7a76\u4eba\u5458\u517c\u673a\u5668\u4eba\u4f01\u4e1a\u5bb6 Rodney Brooks \u5728\u63a5\u53d7 IEEE Spectrum \u91c7\u8bbf\u65f6\u5f3a\u8c03\uff0c<strong>\u5728\u8bc4\u4f30 ChatGPT \u7b49\u7cfb\u7edf\u7684\u80fd\u529b\u65f6\uff0c\u6211\u4eec\u7ecf\u5e38\u201c\u8bef\u628a\u6027\u80fd\u5f53\u80fd\u529b<\/strong>\u201d\u3002<\/section>\n<section><\/section>\n<section><strong>\u6362\u4e2a\u65b9\u5f0f\u6765\u89e3\u91ca\uff0c\u5c06\u5206\u6570\u5f53\u4f5c\u80fd\u529b\u7684\u6807\u5fd7\uff0cAI \u5c31\u597d\u50cf\u53ea\u770b\u5230\u4e86\u4e16\u754c\u7684\u4e00\u4e2a\u7c97\u7565\u6982\u8ff0\uff0c\u800c\u6ca1\u6709\u771f\u6b63\u7406\u89e3\u6574\u4e2a\u4e16\u754c\u7684\u672c\u8d28\u3002<\/strong><\/section>\n<section><\/section>\n<section>AI \u9762\u4e34\u4e00\u4e2a\u91cd\u8981\u95ee\u9898\uff0c\u5c31\u662f\u5b83\u4eec\u7684\u8bad\u7ec3\u6570\u636e\u3002\u5927\u591a\u6570\u6a21\u578b\u4ec5\u5728\u6587\u672c\u57fa\u7840\u4e0a\u8fdb\u884c\u8bad\u7ec3\uff0c\u4e0d\u5177\u5907\u5728\u73b0\u5b9e\u4e16\u754c\u4e2d\u8bf4\u8bdd\u3001\u542c\u89c9\u3001\u55c5\u89c9\u6216\u751f\u6d3b\u7684\u80fd\u529b\u3002\u6b63\u5982\u6211\u4e4b\u524d\u63d0\u51fa\u7684\uff0c\u8fd9\u79cd\u60c5\u51b5\u6709\u70b9\u50cf\u67cf\u62c9\u56fe\u7684\u6d1e\u7a74\u5bd3\u8a00\u3002\u5728\u90a3\u4e2a\u6545\u4e8b\u91cc\uff0c\u4eba\u4eec\u53ea\u80fd\u770b\u5230\u6d1e\u7a74\u5899\u4e0a\u7684\u5f71\u5b50\uff0c\u65e0\u6cd5\u76f4\u63a5\u4f53\u9a8c\u771f\u5b9e\u7684\u4e16\u754c\u3002\u5373\u4f7f\u80fd\u591f\u521b\u5efa\u4e00\u4e2a\u4e16\u754c\u6a21\u578b\uff0c\u4ed6\u4eec\u7684\u4e16\u754c\u4e5f\u53ea\u662f\u4e00\u4e2a\u7eaf\u6587\u5b57\u7684\u4e16\u754c\uff0c\u53e5\u6cd5\u4e0a\u6b63\u786e\uff0c\u4f46\u8bed\u4e49\u4e0a\u5e76\u4e0d\u5168\u9762\u3002\u8fd9\u79cd\u73af\u5883\u7f3a\u4e4f\u76f4\u63a5\u611f\u77e5\u6240\u4ea7\u751f\u7684\u201c\u5e38\u8bc6\u201d\uff0c\u6240\u4ee5\u663e\u5f97\u4e4f\u5584\u53ef\u9648\u3002<\/section>\n<section><\/section>\n<section><\/section>\n<section><strong>\u5927\u8bed\u8a00\u6a21\u578b\u6709\u54ea\u4e9b\u4e3b\u8981\u5c40\u9650\u6027\uff1f<\/strong><\/section>\n<section><\/section>\n<section>ChatGPT \u6216 GPT-4 \u7b49\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u9762\u4e34\u7684\u53e6\u4e00\u4e2a\u6700\u6709\u4e89\u8bae\u7684\u6311\u6218\u662f\uff0c\u5b83\u4eec\u5bb9\u6613\u4ea7\u751f\u5e7b\u89c9\u3002\u6240\u8c13\u5e7b\u89c9\uff0c\u5c31\u662f\u8fd9\u4e9b\u6a21\u578b\u4f1a\u7f16\u9020\u51fa\u4e00\u4e9b\u5047\u7684\u5f15\u7528\u548c\u4e8b\u5b9e\uff0c\u6709\u65f6\u751a\u81f3\u662f\u6beb\u65e0\u610f\u4e49\u7684\u5185\u5bb9\u3002\u51fa\u73b0\u5e7b\u89c9\u7684\u539f\u56e0\u5728\u4e8e\uff0c\u5b83\u4eec\u7f3a\u4e4f\u5bf9\u4e8b\u4ef6\u4e4b\u95f4\u539f\u56e0\u548c\u7ed3\u679c\u7684\u7406\u89e3\u3002<\/section>\n<section><\/section>\n<section>\u5728\u201cIs ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation\u201d\u4e00\u6587\u4e2d\uff0c\u4f5c\u8005\u5f97\u51fa\u7ed3\u8bba\uff1a\u201c<strong>ChatGPT \u5b58\u5728\u4e25\u91cd\u7684\u56e0\u679c\u5e7b\u89c9\u95ee\u9898\uff0c\u5b83\u503e\u5411\u4e8e\u5047\u8bbe\u4e8b\u4ef6\u4e4b\u95f4\u7684\u56e0\u679c\u5173\u7cfb\uff0c\u800c\u4e0d\u7ba1\u8fd9\u4e9b\u5173\u7cfb\u662f\u5426\u5b9e\u9645\u5b58\u5728<\/strong>\u201d\u3002\u4ed6\u4eec\u8fdb\u4e00\u6b65\u6307\u51fa\uff1a\u201cChatGPT \u4e0d\u662f\u4e00\u4e2a\u597d\u7684\u56e0\u679c\u63a8\u7406\u8005\uff0c\u800c\u662f\u4e00\u4e2a\u597d\u7684\u56e0\u679c\u89e3\u91ca\u8005\u201d\uff0c\u518d\u6b21\u5f3a\u8c03\u4e86\u5b83\u5728\u89e3\u91ca\u65f6\u63d0\u70bc\u8054\u7cfb\u7684\u80fd\u529b\uff0c\u4f46\u5374\u65e0\u6cd5\u901a\u8fc7\u6784\u5efa\u4e00\u4e2a\u73b0\u6709\u7684\u4e16\u754c\u6a21\u578b\u6765\u63a8\u65ad\u8fd9\u4e9b\u8054\u7cfb\uff0c\u800c\u8fd9\u4e9b\u8054\u7cfb\u5c31\u81ea\u7136\u800c\u7136\u5730\u5b58\u5728\u4e8e\u8fd9\u4e2a\u4e16\u754c\u6a21\u578b\u4e2d\u3002\u867d\u7136\u8fd9\u7bc7\u6587\u7ae0\u7684\u91cd\u70b9\u662f ChatGPT\uff0c\u4f46\u53ef\u4ee5\u6269\u5c55\u5230\u4efb\u4f55 LLMs\u3002<\/section>\n<section><\/section>\n<section>\u4ece\u6839\u672c\u4e0a\u8bf4\uff0c\u6211\u4eec\u53ef\u4ee5\u53d1\u73b0\uff0c<strong>LLMs \u5584\u4e8e\u4ece\u6570\u636e\u4e2d\u8bc6\u522b\u548c\u63d0\u53d6\u56e0\u679c\u5173\u7cfb\uff0c\u4f46\u7f3a\u4e4f\u81ea\u5df1\u4e3b\u52a8\u63a8\u7406\u65b0\u7684\u56e0\u679c\u573a\u666f\u7684\u80fd\u529b<\/strong>\u3002\u5b83\u4eec\u5177\u5907\u901a\u8fc7\u89c2\u5bdf\u8fdb\u884c\u56e0\u679c\u5f52\u7eb3\u7684\u80fd\u529b\uff0c\u4f46\u4e0d\u5177\u5907\u56e0\u679c\u6f14\u7ece\u7684\u80fd\u529b\u3002<\/section>\n<section><\/section>\n<section>\u8fd9\u79cd\u533a\u522b\u51f8\u663e\u4e86\u4e00\u4e2a\u5c40\u9650\u6027\uff0c\u7cfb\u7edf\u53ef\u4ee5\u8bc6\u522b\u56e0\u679c\u6a21\u5f0f\uff0c\u4f46\u7f3a\u4e4f\u62bd\u8c61\u7684\u56e0\u679c\u63a8\u7406\u80fd\u529b\u3002\u5b83\u5e76\u4e0d\u80fd\u4ea7\u751f\u65b0\u7684\u56e0\u679c\u89c1\u89e3\uff0c\u800c\u53ea\u662f\u4ece\u6570\u636e\u4e2d\u89e3\u91ca\u56e0\u679c\u8054\u7cfb\u3002<\/section>\n<section><\/section>\n<section>\u7136\u800c\uff0c<strong>\u5982\u679c\u667a\u80fd\u9700\u8981\u4ece\u7ecf\u9a8c\u4e2d\u5b66\u4e60\uff0c\u800c\u5b66\u4e60\u53c8\u8f6c\u5316\u4e3a\u521b\u5efa\u4e00\u4e2a\u6211\u4eec\u53ef\u4ee5\u7528\u6765\u7406\u89e3\u5468\u56f4\u73af\u5883\u7684\u4e16\u754c\u6a21\u578b\uff0c\u90a3\u4e48\u56e0\u679c\u6f14\u7ece\u5c31\u6784\u6210\u4e86\u5b66\u4e60\u7684\u4e00\u4e2a\u57fa\u672c\u8981\u7d20\uff0c\u4ece\u800c\u4e5f\u6784\u6210\u4e86\u667a\u80fd\u7684\u4e00\u4e2a\u57fa\u672c\u8981\u7d20\uff0c\u800c\u8fd9\u6b63\u662f\u73b0\u6709\u6a21\u578b\u6240\u7f3a\u5c11\u7684\u4e00\u4e2a\u65b9\u9762<\/strong>\u3002\u8fd9\u662f\u6211\u4eec\u671d\u7740 AGI \u524d\u8fdb\u7684\u5173\u952e\u6b65\u9aa4\u4e4b\u4e00\u3002<\/section>\n<section><\/section>\n<section><\/section>\n<section><strong>\u7ed3\u8bba<\/strong><\/section>\n<section><\/section>\n<section>\u6b63\u5982\u572820\u4e16\u7eaa\u521d\u6240\u5c55\u793a\u7684\u90a3\u6837\uff0c\u5b9e\u9645\u60c5\u51b5\u5e38\u5e38\u4e0e\u6211\u4eec\u65e5\u5e38\u89c2\u5bdf\u6240\u5f62\u6210\u7684\u76f4\u89c9\u4e0d\u540c\u3002\u5c31\u50cf20\u4e16\u7eaa\u521d\u7684\u7269\u7406\u5b66\u5bb6\u56e0\u4e3a\u91cf\u5b50\u529b\u5b66\u4e0e\u4eba\u7c7b\u76f4\u89c9\u76f8\u6096\u800c\u96be\u4ee5\u7406\u89e3\u5b83\u4e00\u6837\uff0c\u6211\u4eec\u73b0\u5728\u6784\u5efa\u7684 AI \u7cfb\u7edf\u4e5f\u53d7\u9650\u4e8e\u73b0\u5b9e\u7684\u4e00\u5c0f\u90e8\u5206\uff0c\u751a\u81f3\u6bd4\u6211\u4eec\u4eba\u7c7b\u6240\u80fd\u4f53\u9a8c\u5230\u7684\u8303\u56f4\u8fd8\u8981\u7a84\u3002<\/section>\n<section><\/section>\n<section>\u5c31\u50cf\u6211\u4eec\u6700\u7ec8\u7406\u89e3\u4e86\u4e00\u4e2a\u4e0e\u6211\u4eec\u65e5\u5e38\u7ecf\u9a8c\u76f8\u77db\u76fe\u7684\u771f\u5b9e\u4e16\u754c\u4e00\u6837\uff0c<strong>\u53ea\u6709\u5f53\u6211\u4eec\u80fd\u591f\u521b\u9020\u51fa\u4e00\u4e2a\u53ef\u4ee5\u6000\u7591\u81ea\u8eab\u73b0\u5b9e\u7684\u7cfb\u7edf\uff0c\u8fdb\u884c\u81ea\u6211\u63a2\u7d22\uff0c\u81f3\u5c11\u80fd\u591f\u5e94\u7528\u56e0\u679c\u6f14\u7ece\u6765\u5efa\u7acb\u4e00\u4e2a\u5408\u7406\u7684\u4e16\u754c\u6a21\u578b\u65f6\uff0c\u6211\u4eec\u624d\u80fd\u771f\u6b63\u5b9e\u73b0 AGI<\/strong>\u3002<\/section>\n<section><\/section>\n<section>\u8fd9\u4e00\u5c55\u671b\u53ef\u80fd\u662f\u4eba\u7c7b\u5386\u53f2\u8fc8\u5411\u65b0\u9636\u6bb5\u7684\u4e00\u4e2a\u6807\u5fd7\uff0c\u6211\u4eec\u5f00\u59cb\u9010\u6e10\u627f\u8ba4\uff0c\u4eba\u7c7b\u5728\u6574\u4e2a\u5b87\u5b99\u4e2d\u7684\u91cd\u8981\u6027\u6b63\u5728\u51cf\u5c11\u3002<\/section>\n<div class=\"pvc_clear\"><\/div>\n<p id=\"pvc_stats_15609\" class=\"pvc_stats total_only  \" data-element-id=\"15609\" style=\"\"><i class=\"pvc-stats-icon medium\" aria-hidden=\"true\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" version=\"1.0\" viewBox=\"0 0 502 315\" preserveAspectRatio=\"xMidYMid meet\"><g transform=\"translate(0,332) scale(0.1,-0.1)\" fill=\"\" stroke=\"none\"><path d=\"M2394 3279 l-29 -30 -3 -207 c-2 -182 0 -211 15 -242 39 -76 157 -76 196 0 15 31 17 60 15 243 l-3 209 -33 29 c-26 23 -41 29 -80 29 -41 0 -53 -5 -78 -31z\"\/><path d=\"M3085 3251 c-45 -19 -58 -50 -96 -229 -47 -217 -49 -260 -13 -295 52 -53 146 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