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\u5728\u53d1\u5e03\u540e\u7684\u8fd1\u4e24\u5e74\u65f6\u95f4\u91cc\uff0cChatGPT \u8868\u73b0\u51fa\u4e86\u4e00\u4e9b\u975e\u5e38\u7c7b\u4f3c\u4eba\u7c7b\u7684\u884c\u4e3a\uff0c\u6bd4\u5982\u901a\u8fc7\u5f8b\u5e08\u8d44\u683c\u8003\u8bd5\u3002\u8fd9\u8ba9\u4e00\u4e9b\u4eba\u6000\u7591\uff0c\u8ba1\u7b97\u673a\u7684\u667a\u529b\u6c34\u5e73\u662f\u5426\u6b63\u5728\u63a5\u8fd1\u4eba\u7c7b\u3002\u5927\u591a\u6570\u8ba1\u7b97\u673a\u79d1\u5b66\u5bb6\u8ba4\u4e3a\uff0c\u673a\u5668\u7684\u667a\u529b\u6c34\u5e73\u8fd8\u4e0d\u80fd\u4e0e\u4eba\u7c7b\u76f8\u63d0\u5e76\u8bba\uff0c\u4f46\u4ed6\u4eec\u8fd8\u6ca1\u6709\u5c31\u5982\u4f55\u8861\u91cf\u667a\u529b\u6216\u5177\u4f53\u8861\u91cf\u4ec0\u4e48\u8fbe\u6210\u5171\u8bc6\u3002<\/section>\n
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\u68c0\u9a8c\u673a\u5668\u667a\u80fd\u7684\u7ecf\u5178\u5b9e\u9a8c\u662f\u56fe\u7075\u6d4b\u8bd5<\/mark>\uff0c\u7531\u827e\u4f26\u30fb\u56fe\u7075\u5728\u5176 1950 \u5e74\u53d1\u8868\u7684\u8bba\u6587\u300aComputing Machinery and Intelligence\u300b\u4e2d\u63d0\u51fa\u3002\u56fe\u7075\u8ba4\u4e3a\uff0c\u5982\u679c\u8ba1\u7b97\u673a\u80fd\u8ba9\u4e0e\u4e4b\u8fdb\u884c\u6253\u5b57\u5bf9\u8bdd\u7684\u4eba\u76f8\u4fe1\u5b83\u662f\u4eba\u7c7b\uff0c\u8fd9\u53ef\u80fd\u5c31\u662f\u667a\u80fd\u7684\u6807\u5fd7\u3002\u5927\u578b\u8bed\u8a00\u6a21\u578b<\/mark>\uff08LLM\uff09\uff0c\u5982 GPT\uff0c\u64c5\u957f\u50cf\u4eba\u4e00\u6837\u8bf4\u8bdd\uff0c\u4f46\u5c1a\u672a\u4ee4\u4eba\u4fe1\u670d\u5730\u901a\u8fc7\u56fe\u7075\u6d4b\u8bd5<\/mark>\u3002<\/section>\n

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2023 \u5e74\uff0c\u52a0\u5dde\u5927\u5b66\u5723\u8fed\u6208\u5206\u6821\uff08UCSD\uff09\u7684\u7814\u7a76\u4eba\u5458\u516c\u5f00\u8fdb\u884c\u4e86\u4e00\u6b21\u56fe\u7075\u6d4b\u8bd5<\/mark>\uff0c\u76ee\u7684\u662f\u6bd4\u8f83\u6700\u65b0\u7684 LLM \u4e0e 20 \u4e16\u7eaa 60 \u5e74\u4ee3\u5f00\u53d1\u7684\u804a\u5929\u673a\u5668\u4eba<\/mark> Eliza \u7684\u8868\u73b0\u3002\u5728\u5f8b\u5e08\u8d44\u683c\u8003\u8bd5\u4e2d\u83b7\u5f97\u9ad8\u5206\u7684 GPT-4 \u8868\u73b0\u76f8\u5f53\u51fa\u8272\uff0c\u5728 41% \u7684\u6e38\u620f\u4e2d\uff0c\u8bc4\u59d4\u8ba4\u4e3a\u5b83\u4e0e\u4eba\u7c7b\u65e0\u5f02\u3002\u800c\u5b83\u7684\u524d\u8eab GPT-3.5 \u53ea\u901a\u8fc7\u4e86 14% \u7684\u6e38\u620f\uff0c\u4f4e\u4e8e Eliza \u7684 27%\u3002\u4eba\u7c7b\u5728 63% \u7684\u6e38\u620f\u4e2d\u901a\u8fc7\uff08\u88ab\u5224\u5b9a\u4e3a\u4eba\u7c7b\uff09\u3002<\/section>\n

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\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/pdf\/2310.20216v1<\/sup>
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\u8d1f\u8d23\u8fd9\u9879\u5b9e\u9a8c\u7684 UCSD \u8ba4\u77e5\u79d1\u5b66\u535a\u58eb\u751f Cameron Jones \u8bf4\uff0c\u4eba\u7c7b\u5f97\u5206\u5982\u6b64\u4e4b\u4f4e\u5e76\u4e0d\u5947\u602a\u3002\u8fd9\u662f\u56e0\u4e3a\u73a9\u5bb6\u9884\u8ba1\u6a21\u578b\u4f1a\u8868\u73b0\u51fa\u8272\uff0c\u6240\u4ee5\u4ed6\u4eec\u66f4\u5bb9\u6613\u8ba4\u4e3a\u4eba\u7c7b\u53ea\u662f\u4e00\u4e2a\u542c\u8d77\u6765\u50cf\u4eba\u7c7b\u7684\u6a21\u578b\u3002Jones \u8bf4\uff0c\u76ee\u524d\u8fd8\u4e0d\u6e05\u695a\u804a\u5929\u673a\u5668\u4eba<\/mark>\u5fc5\u987b\u8fbe\u5230\u591a\u5c11\u5206\u624d\u80fd\u8d62\u5f97\u6e38\u620f\u3002<\/section>\n
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\u5723\u5854\u83f2\u7814\u7a76\u6240\u590d\u6742\u6027\u5b66\u6559\u6388 Melanie Mitchell \u8bf4\uff1a\u300c\u6211\u8ba4\u4e3a\u56fe\u7075\u6d4b\u8bd5<\/mark>\u7684\u6574\u4e2a\u6982\u5ff5\u90fd\u88ab\u8fc7\u4e8e\u5b57\u9762\u5316\u4e86\u3002\u300d\u5979\u8ba4\u4e3a\uff0c\u56fe\u7075\u63d0\u51fa\u7684\u300c\u6a21\u4eff\u6e38\u620f\u300d\u662f\u4e00\u79cd\u601d\u8003\u673a\u5668\u667a\u80fd\u53ef\u80fd\u662f\u4ec0\u4e48\u6837\u5b50\u7684\u65b9\u6cd5\uff0c\u800c\u4e0d\u662f\u4e00\u79cd\u5b9a\u4e49\u660e\u786e\u7684\u6d4b\u8bd5\u3002\u300c\u4eba\u4eec\u8f7b\u7387\u5730\u4f7f\u7528\u8fd9\u4e2a\u672f\u8bed\uff0c\u8bf4\u5927\u578b\u8bed\u8a00\u6a21\u578b<\/mark>\u901a\u8fc7\u4e86\u56fe\u7075\u6d4b\u8bd5<\/mark>\uff0c\u800c\u4e8b\u5b9e\u4e0a\u5b83\u4eec\u5e76\u6ca1\u6709\u901a\u8fc7\u6d4b\u8bd5\u3002\u300d<\/section>\n
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\u8c37\u6b4c\u7684\u8f6f\u4ef6\u5de5\u7a0b\u5e08\u548c\u4eba\u5de5\u667a\u80fd<\/mark>\u4e13\u5bb6 Francois Chollet \u5219\u8ba4\u4e3a\u56fe\u7075\u6d4b\u8bd5<\/mark>\u5e76\u4e0d\u662f\u7279\u522b\u6709\u7528\u3002\u4ed6\u8bf4\uff0c\u4e00\u4e2a\u597d\u7684\u6d4b\u8bd5\u5e94\u8be5\u6709\u4e00\u4e2a\u786e\u5207\u7684\u3001\u5f62\u5f0f\u5316\u7684\u76ee\u6807\uff0c\u5e76\u4e14\u5e94\u8be5\u8861\u91cf\u4e00\u4e2a\u7cfb\u7edf\u6709\u591a\u63a5\u8fd1\u8fd9\u4e2a\u76ee\u6807\u3002\u4ed6\u6307\u51fa\uff1a\u300c\u56fe\u7075\u6d4b\u8bd5<\/mark>\u5e76\u6ca1\u6709\u505a\u5230\u8fd9\u4e9b\u3002\u300d<\/section>\n
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Chollet \u8bf4\uff0cLLM \u5728\u56fe\u7075\u6d4b\u8bd5<\/mark>\u4e2d\u7684\u8868\u73b0\u53ea\u80fd\u8bf4\u660e\u4ed6\u4eec\u64c5\u957f\u4f7f\u7528\u8bed\u8a00\uff0c\u800c\u8fd9\u79cd\u6280\u80fd\u5b8c\u5168\u6765\u81ea\u4e8e\u5bf9\u5927\u91cf\u6570\u636e\u7684\u8bb0\u5fc6\u3002\u4ed6\u8ba4\u4e3a\uff0c\u771f\u6b63\u7684\u667a\u80fd\u5e76\u4e0d\u5728\u4e8e\u638c\u63e1\u67d0\u9879\u6280\u80fd\uff0c\u800c\u5728\u4e8e\u628a\u5b66\u5230\u7684\u77e5\u8bc6\u8fd0\u7528\u5230\u65b0\u7684\u3001\u4e0d\u540c\u7684\u60c5\u5883\u4e2d\u3002\u300cLLM \u767e\u5206\u4e4b\u767e\u90fd\u662f\u8bb0\u5fc6\u3002\u4ed6\u4eec\u6ca1\u6709\u667a\u80fd\u3002\u4ed6\u4eec\u6ca1\u6709\u9002\u5e94\u80fd\u529b\u3002\u300dChollet \u8bf4\u3002<\/section>\n
<\/section>\n
\u5728\u4ed6\u770b\u6765\uff0c\u667a\u529b\u662f\u4e00\u79cd\u6709\u6548\u83b7\u5f97\u65b0\u6280\u80fd\u7684\u80fd\u529b\uff0c\u800c\u8fd9\u4e9b\u6280\u80fd\u662f\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u6ca1\u6709\u51c6\u5907\u597d\u7684\uff0c\u76ee\u7684\u662f\u5b8c\u6210\u4e0e\u7cfb\u7edf\u4e4b\u524d\u6240\u89c1\u8fc7\u7684\u4efb\u52a1\u5dee\u5f02\u8db3\u591f\u5927\u7684\u4efb\u52a1\u3002\u4eba\u7c7b\u7ec8\u5176\u4e00\u751f\u90fd\u5728\u4e0e\u4e16\u754c\u4e92\u52a8\uff0c\u672c\u8d28\u4e0a\u662f\u5728\u8fdb\u884c\u5b9e\u9a8c\uff0c\u4ee5\u4fbf\u5efa\u7acb\u4e00\u4e2a\u53cd\u6620\u4e16\u754c\u5982\u4f55\u8fd0\u884c\u7684\u6a21\u578b\u3002\u8fd9\u6837\u5f53\u4ed6\u4eec\u9047\u5230\u65b0\u60c5\u51b5\u65f6\uff0c\u5c31\u80fd\u5b66\u4f1a\u5982\u4f55\u5904\u7406\u3002\u65b0\u6280\u80fd\u7684\u8303\u56f4\u8d8a\u5e7f\uff0c\u8ba1\u7b97\u673a\u5c31\u8d8a\u63a5\u8fd1\u5b9e\u73b0\u901a\u7528\u4eba\u5de5\u667a\u80fd<\/mark>\u3002<\/section>\n
<\/section>\n
Chollet \u8bf4\uff1a\u300c\u5982\u679c\u4f60\u80fd\u8ba9\u5b66\u4e60\u8fc7\u7a0b\u50cf\u4eba\u7c7b\u5927\u8111\u4e00\u6837\u9ad8\u6548\u5730\u5904\u7406\u4fe1\u606f\uff0c\u90a3\u4e48\u4f60\u5c31\u62e5\u6709\u4e86 AGI\u3002\u300d\u5230\u76ee\u524d\u4e3a\u6b62\uff0c\u673a\u5668\u7684\u5b66\u4e60\u6548\u7387\u8fdc\u8fdc\u843d\u540e\u4e8e\u4eba\u8111\uff0c\u5927\u7ea6\u6bd4\u4eba\u8111\u4f4e 1 \u4e07\u500d\u3002\u4f8b\u5982\uff0c\u8ba1\u7b97\u673a\u9700\u8981\u6570\u767e\u4e07\u5f20\u56fe\u7247\u624d\u80fd\u5b66\u4f1a\u8bc6\u522b\u732b\u7684\u56fe\u7247\uff0c\u800c\u4eba\u7c7b\u53ea\u9700\u4e00\u4e24\u4e2a\u4f8b\u5b50\u5c31\u80fd\u5b66\u4f1a\u8bc6\u522b\u732b\u3002<\/section>\n
<\/section>\n
\u4e3a\u4e86\u6d4b\u8bd5\u4ed6\u5b9a\u4e49\u7684\u667a\u529b\uff0cChollet \u5f00\u53d1\u4e86\u62bd\u8c61\u4e0e\u63a8\u7406\u8bed\u6599\u5e93<\/mark>\uff08ARC\uff09\u3002ARC \u7684\u6311\u6218\u662f\u901a\u8fc7\u57fa\u672c\u7684\u79ef\u6728\uff0c\u5982\u5f62\u72b6\u6216\u5927\u5c0f\u7b49\u7b80\u5355\u6982\u5ff5\u6765\u5b8c\u6210\u7684\u3002\u8fd9\u4e9b\u79ef\u6728\u7528\u4e8e\u521b\u5efa\u4efb\u52a1\uff0c\u5982\u6309\u5927\u5c0f\u5bf9\u7269\u4f53\u8fdb\u884c\u5206\u7c7b\u6216\u8865\u5168\u5bf9\u79f0\u56fe\u6848\u3002\u6d4b\u8bd5\u5bf9\u8c61\u4f1a\u770b\u5230\u4e09\u4e2a\u793a\u4f8b\uff0c\u4ed6\u4eec\u5e94\u8be5\u80fd\u591f\u8bc6\u522b\u76ee\u6807\u5e76\u5b8c\u6210\u4efb\u52a1\u3002Chollet \u8bf4\uff0c\u6700\u597d\u7684 AI \u5927\u7ea6\u6709 30% \u7684\u65f6\u95f4\u80fd\u591f\u5b9e\u73b0\u76ee\u6807\uff0c\u800c\u4eba\u7c7b\u5219\u6709 80% \u7684\u65f6\u95f4\u80fd\u591f\u505a\u5230\u3002<\/section>\n

<\/a><\/p>\n

\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u9879\u76ee\u94fe\u63a5\uff1ahttps:\/\/github.com\/fchollet\/ARC-AGI<\/sup>
<\/em><\/section>\n
<\/section>\n
\u6bcf\u9879\u4efb\u52a1\u90fd\u4e0d\u540c\u4e8e\u6d4b\u8bd5\u5bf9\u8c61\u4ee5\u524d\u89c1\u8fc7\u7684\u4efb\u4f55\u4efb\u52a1\uff0c\u56e0\u6b64\u6b7b\u8bb0\u786c\u80cc\u65e0\u6d4e\u4e8e\u4e8b\u3002\u4ed6\u8bf4\uff1a\u300c\u8fd9\u662f\u4e00\u573a\u65e0\u6cd5\u7ec3\u4e60\u7684\u6e38\u620f\u3002\u5f53 GPT-4 \u901a\u8fc7\u5f8b\u5e08\u8d44\u683c\u8003\u8bd5\u65f6\uff0c\u5f88\u53ef\u80fd\u662f\u56e0\u4e3a\u5b83\u89c1\u8fc7\u8db3\u591f\u591a\u4e0e\u8003\u8bd5\u76f8\u4f3c\u7684\u4f8b\u5b50\uff0c\u6240\u4ee5\u5b83\u80fd\u7ed9\u51fa\u5408\u7406\u7684\u7b54\u6848\uff0c\u800c\u4e0d\u9700\u8981\u5bf9\u6cd5\u5f8b\u6709\u4efb\u4f55\u5185\u5728\u7684\u7406\u89e3\u3002\u300d<\/section>\n
<\/section>\n
\u300c\u8fd9\u4e0d\u662f\u4e00\u4e2a\u5b8c\u7f8e\u7684\u6d4b\u8bd5\u3002\u5b83\u6709\u5f88\u591a\u5c40\u9650\u6027\u548c\u7f3a\u9677\uff0c\u300dChollet \u8bf4\u3002\u4f8b\u5982\uff0c\u4efb\u52a1\u4e2d\u5b58\u5728\u8db3\u591f\u591a\u7684\u5197\u4f59\uff0c\u5728\u4e3e\u51fa\u8db3\u591f\u591a\u7684\u4f8b\u5b50\u540e\uff0c\u6d4b\u8bd5\u5bf9\u8c61\u53ef\u80fd\u4f1a\u5bf9\u7b54\u6848\u505a\u51fa\u6709\u6839\u636e\u7684\u731c\u6d4b\u3002\u4e0d\u8fc7\uff0c\u4ed6\u8bf4\uff0c\u5b83\u7684\u57fa\u672c\u601d\u60f3\u662f\u53ef\u9760\u7684\u3002<\/section>\n
<\/section>\n
\u524d\u9762\u63d0\u5230\u7684\u5723\u5854\u83f2\u7814\u7a76\u6240\u590d\u6742\u6027\u5b66\u6559\u6388 Melanie Mitchell \u8ba4\u4e3a\uff0c\u8981\u60f3\u83b7\u5f97\u7c7b\u4f3c\u4eba\u7c7b\u7684\u901a\u7528\u667a\u80fd\uff0c\u5c31\u5fc5\u987b\u6709\u80fd\u529b\u5b8c\u6210\u8fdc\u8fdc\u8d85\u51fa\u8bad\u7ec3\u6570\u636e\u7684\u4efb\u52a1\u3002\u5979\u548c\u5979\u7684\u5c0f\u7ec4\u63d0\u51fa\u4e86 ARC \u7684\u4fee\u8ba2\u7248\uff0c\u56f4\u7ed5\u57fa\u672c\u6982\u5ff5\u7ec4\u7ec7\u4efb\u52a1\uff0c\u4f8b\u5982\u4e00\u7269\u5728\u53e6\u4e00\u7269\u4e4b\u4e0a\uff0c\u6216\u4e00\u7269\u5728\u53e6\u4e00\u7269\u4e4b\u5185\u3002<\/section>\n
<\/section>\n
ConceptARC \u7684\u7406\u5ff5\u662f\u6d4b\u8bd5\u8ba1\u7b97\u673a\u89e3\u51b3\u65b9\u6848\u7684\u7a33\u5065\u6027\uff0c\u65b9\u6cd5\u662f\u8ba9\u8ba1\u7b97\u673a\u63a8\u5bfc\u51fa\u4e00\u4e2a\u6982\u5ff5\u7684\u89c4\u5219\uff0c\u7136\u540e\u5c06\u8be5\u6982\u5ff5\u5e94\u7528\u5230\u65b0\u4efb\u52a1\u4e2d\u3002<\/a><\/section>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/pdf\/2305.07141<\/sup><\/em><\/section>\n
<\/section>\n
\u4f8b\u5982\uff0c\u5979\u53ef\u80fd\u4f1a\u5411\u4eba\u5de5\u667a\u80fd<\/mark>\u5c55\u793a\u4e00\u4e2a\u7f51\u683c\uff0c\u5728\u8fd9\u4e2a\u7f51\u683c\u4e2d\uff0c\u9ec4\u8272\u65b9\u683c\u4f4d\u4e8e\u84dd\u8272\u65b9\u683c\u4e4b\u4e0a\uff0c\u800c\u8fd9\u4e2a\u84dd\u8272\u65b9\u683c\u53c8\u4f4d\u4e8e\u9ec4\u8272\u65b9\u683c\u4e4b\u4e0a\u3002\u63a5\u7740\u53ef\u80fd\u662f\u4e00\u4e2a\u7ea2\u8272\u5706\u5708\u5728\u4e00\u4e2a\u7eff\u8272\u5706\u5708\u4e0a\u9762\uff0c\u7136\u540e\u53c8\u6362\u6210\u4e00\u4e2a\u7eff\u8272\u5706\u5708\u5728\u4e00\u4e2a\u7ea2\u8272\u5706\u5708\u4e0a\u9762\u3002\u4eba\u7c7b\u5e94\u8be5\u5f88\u5bb9\u6613\u7406\u89e3\u7684\u6982\u5ff5\u662f\uff0c\u989c\u8272\u5728\u5782\u76f4\u4f4d\u7f6e\u4e0a\u4e92\u6362\u3002\u7136\u540e\uff0c\u8ba1\u7b97\u673a\u5fc5\u987b\u5c06\u8fd9\u4e00\u89c4\u5219\u5e94\u7528\u5230\u4e00\u5bf9\u65b0\u7684\u56fe\u5f62\u4e2d\u3002Mitchell \u8bf4\uff0c\u8fd9\u4e9b\u4efb\u52a1\u5bf9\u4eba\u7c7b\u6765\u8bf4\u5f88\u5bb9\u6613\uff0c\u4f46\u5bf9\u673a\u5668\u6765\u8bf4\u4f3c\u4e4e\u4ecd\u7136\u975e\u5e38\u5177\u6709\u6311\u6218\u6027\u3002<\/section>\n
<\/section>\n
Mitchell \u8bf4\uff0c\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u6bd4\u5982\u8bd5\u56fe\u5728\u6d77\u91cf\u6570\u636e\u4e2d\u505a\u51fa\u53d1\u73b0\uff0c\u8ba1\u7b97\u673a\u6700\u597d\u6709\u81ea\u5df1\u7684\u62bd\u8c61\u65b9\u6cd5\u3002\u4f46\u5728\u4e0e\u4eba\u4ea4\u4e92\u7684\u60c5\u51b5\u4e0b\uff0c\u4f8b\u5982\u9a7e\u9a76\u6c7d\u8f66\uff0c\u4ee5\u4eba\u7c7b\u7684\u65b9\u5f0f\u7406\u89e3\u4e16\u754c\u5c31\u975e\u5e38\u91cd\u8981\u3002<\/section>\n
<\/section>\n
\u300c\u6211\u4e0d\u8ba4\u4e3a\u667a\u80fd\u662f\u5168\u6709\u6216\u5168\u65e0\u3002\u5b83\u662f\u4e00\u4e2a\u8303\u56f4\uff0c\u8ba1\u7b97\u673a\u505a\u7684\u67d0\u4e9b\u4e8b\u60c5\u662f\u667a\u80fd\u7684\uff0c\u300dMitchell \u8bf4\u3002\u300c\u5982\u679c\u4f60\u60f3\u8c08\u8bba\u5b8c\u5168\u7684\u3001\u4eba\u7c7b\u6c34\u5e73\u7684\u667a\u80fd\uff0c\u6211\u4f1a\u8bf4\u6211\u4eec\u8fd8\u6709\u4e9b\u9065\u8fdc\uff0c\u56e0\u4e3a\u4eba\u7c7b\u6c34\u5e73\u7684\u667a\u80fd\u6709\u8bb8\u591a\u65b9\u9762\u662f\u6211\u4eec\u770b\u4e0d\u5230\u7684\u3002\u300d<\/section>\n
<\/section>\n
\u539f\u6587\u94fe\u63a5\uff1ahttps:\/\/cacm.acm.org\/news\/beyond-turing-testing-llms-for-intelligence\/<\/sup><\/em><\/section>\n

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