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\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:\u53c2\u52a0\u5b8cNeurIPS\uff0c\u7ebd\u7ea6\u5927\u5b66\u6559\u6388\u611f\u53d7\u5230\u4e86AI\u535a\u58eb\u751f\u7684\u7126\u8651\u4e0e\u632b\u8d25<\/a><\/p>\n

2024 \u5e74 12 \u6708 10-15 \u65e5\uff0c\u4eca\u5e74\u5ea6\u7684 NeurIPS \u5df2\u5728\u52a0\u62ff\u5927\u6e29\u54e5\u534e\u6210\u529f\u4e3e\u529e\u3002\u4eca\u5e74\u7684\u4f1a\u8bae\u4e0a\uff0c\u6211\u4eec\u770b\u5230\u4e86 Ilya Sutskever \u5173\u4e8e\u9884\u8bad\u7ec3\u5373\u5c06\u7ec8\u7ed3\u7684\u9884\u6d4b<\/a>\uff0c\u4e5f\u770b\u5230\u4e86\u5f15\u53d1\u5e7f\u6cdb\u4e89\u8bae\u7684 MIT \u6559\u6388 NeurIPS \u6f14\u8bb2\u516c\u5f00\u6b67\u89c6\u4e2d\u56fd\u5b66\u751f<\/a>\u7684\u4e8b\u4ef6\u3002<\/p>\n

\u8be5\u4f1a\u8bae\u4e5f\u5c55\u73b0\u4e86\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u7814\u7a76\u76db\u51b5 \u2014\u2014 \u672c\u5c4a NeurIPS \u5171\u6536\u5230 15671 \u7bc7\u6709\u6548\u8bba\u6587\u6295\u7a3f\uff0c\u6bd4\u53bb\u5e74\u53c8\u589e\u957f\u4e86 27%\uff0c\u4f46\u6700\u7ec8\u63a5\u6536\u7387\u4ec5\u6709 25.8%\u3002\u5982\u6b64\u4f4e\u7684\u63a5\u6536\u7387\u5c31\u5fc5\u7136\u610f\u5473\u7740\u8bb8\u591a\u7814\u7a76\u8005\u7684\u5931\u610f\u548c\u632b\u8d25\u3002\u4f46\u8fd9\u5e76\u4e0d\u662f\u7814\u7a76\u8005\u4eec\u611f\u5230\u632b\u8d25\u7684\u552f\u4e00\u539f\u56e0\u3002<\/p>\n

\u8fd1\u65e5\uff0c\u7ebd\u7ea6\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u548c\u6570\u636e\u79d1\u5b66\u6559\u6388\u3001\u751f\u7269\u6280\u672f\u516c\u53f8 Prescient Design \u8054\u5408\u521b\u59cb\u4eba\u517c\u8d44\u6df1\u4e3b\u7ba1 Kyunghyun Cho \u4e00\u7bc7\u9898\u4e3a\u300c\u6211\u5728 NeurIPS\u201924 \u4e0a\u611f\u53d7\u5230\u4e86\u7126\u8651\u548c\u632b\u8d25<\/strong>\u300d\u7684\u535a\u5ba2\u6587\u7ae0\u5f15\u53d1\u4e86\u5e7f\u6cdb\u8ba8\u8bba\u3002\u4ed6\u5728\u6587\u4e2d\u6307\u51fa\uff0c\u73b0\u5728\u8bb8\u591a\u535a\u58eb\u751f\u548c\u535a\u58eb\u540e\u5f88\u6709\u632b\u8d25\u611f\uff0c\u56e0\u4e3a\u8bb8\u591a\u5b66\u6821\u57f9\u517b\u7684\u672c\u79d1\u751f\u5c31\u5df2\u7ecf\u5177\u5907\u4f01\u4e1a\u6240\u9700\u7684\u6807\u51c6\u5316\u673a\u5668\u5b66\u4e60\u5f00\u53d1\u6280\u80fd\uff0c\u800c\u5927\u91cf\u535a\u58eb\u751f\u5374\u56e0\u6b64\u627e\u4e0d\u5230\u5408\u9002\u7684\u5de5\u4f5c\uff1b\u539f\u56e0\u662f\u968f\u7740 AI \u76f8\u5173\u6280\u672f\u7684\u4ea7\u54c1\u5316\uff0c\u4f01\u4e1a\u5bf9\u535a\u58eb\u6280\u80fd\uff08\u7814\u7a76\u548c\u521b\u65b0\uff09\u7684\u9700\u6c42\u5df2\u7ecf\u5927\u5e45\u4e0b\u964d\uff0c\u800c\u66f4\u591a\u9700\u8981\u652f\u6301\u5176\u4ea7\u54c1\u8fed\u4ee3\u7684\u5de5\u7a0b\u5e08\u3002<\/p>\n

\u770b\u5b8c\u8fd9\u7bc7\u6587\u7ae0\u540e\uff0c\u8bb8\u591a\u8bfb\u8005\u4e5f\u5206\u4eab\u4e86\u81ea\u5df1\u7684\u7ecf\u5386\u548c\u770b\u6cd5\u3002<\/p>\n

\u6709 AI \u535a\u58eb\u73b0\u8eab\u8bf4\u6cd5\uff0c\u6307\u51fa\u5f88\u591a\u535a\u58eb\u7814\u7a76\u8005\u5bf9\u5b66\u672f\u73af\u5883\u4e4b\u5916\u7684\u72b6\u51b5\u5173\u6ce8\u4e0d\u8db3\uff0c\u4ece\u800c\u5bf9\u672a\u6765\u7684\u804c\u4e1a\u6709\u4e86\u8fc7\u9ad8\u7684\u671f\u5f85\u3002<\/p>\n

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\u4e00\u4e9b\u8bfb\u8005\u5bf9\u6587\u7ae0\u8868\u793a\u8ba4\u53ef\uff0c\u8868\u793a\u8981\u5728\u79d1\u6280\u884c\u4e1a\u5de5\u4f5c\uff0c\u5149\u6709\u4e13\u4e1a\u6280\u80fd\u8fd8\u4e0d\u591f\uff0c\u8fd8\u5f97\u901a\u8fc7 leetcode \/ \u7cfb\u7edf\u8bbe\u8ba1\u548c\u9886\u5bfc\u529b\u51c6\u5219\u8003\u8bd5\u3002<\/section>\n
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\u800c\u535a\u58eb\u7814\u7a76\u8005\u867d\u7136\u6536\u5165\u9ad8\uff0c\u4f46\u884c\u4e1a\u9700\u6c42\u4e0d\u8db3\uff0c\u6bd5\u7adf\u4e00\u5bb6\u516c\u53f8\u5e76\u4e0d\u9700\u8981\u90a3\u4e48\u591a\u7814\u7a76\u79d1\u5b66\u5bb6\uff1a<\/section>\n
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\u4f46\u4e5f\u6709\u8bfb\u8005\u5e76\u4e0d\u8ba4\u53ef\uff0c\u8868\u793a\u53c2\u52a0 NeurIPS \u7684\u4eba\u5df2\u7ecf\u6709\u9876\u4f1a\u8bba\u6587\u508d\u8eab\uff0c\u627e\u4efd\u5de5\u4f5c\u5e94\u8be5\u4e0d\u96be\u3002<\/section>\n
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\u4ee5\u4e0b\u662f Kyunghyun Cho \u6559\u6388\u7684\u535a\u5ba2\u5168\u6587\uff0c\u4e5f\u8bf7\u4e0e\u6211\u4eec\u5206\u4eab\u4f60\u7684\u7ecf\u5386\u548c\u770b\u6cd5\u3002<\/section>\n
<\/section>\n
\u6211\u5728 NeurIPS\u201924 \u4e0a\u611f\u53d7\u5230\u4e86\u7126\u8651\u548c\u632b\u8d25<\/strong><\/section>\n
<\/a><\/section>\n
\u4e0a\u5468\u5728 NeurIPS\u201924 \u4e0a\uff0c\u4e00\u4e2a\u975e\u5e38\u7a81\u51fa\u7684\u73b0\u8c61\u662f\uff1a\u56db\u5e74\u7ea7\u535a\u58eb\u751f\u548c\u535a\u58eb\u540e\u8868\u73b0\u51fa\u4e86\u7126\u8651\u548c\u632b\u8d25\uff0c\u4ed6\u4eec\u5bf9\u5c31\u4e1a\u5e02\u573a\u611f\u5230\u56f0\u60d1<\/strong>\uff0c\u56e0\u4e3a\u65e0\u8bba\u662f\u770b\u8d77\u6765\u8fd8\u662f\u611f\u89c9\u4e0a\uff0c\u5c31\u4e1a\u5e02\u573a\u4e0e\u4ed6\u4eec\u4e94\u5e74\u524d\u7533\u8bf7\u535a\u58eb\u9879\u76ee\u65f6\u7684\u9884\u671f\u5927\u4e0d\u76f8\u540c\u3002\u5e76\u4e14\uff0c\u5176\u4e2d\u4e00\u4e9b\u535a\u58eb\u751f\u548c\u535a\u58eb\u540e\u6b63\u662f\u5728\u6211\u81ea\u5df1\u7684\u6307\u5bfc\u4e4b\u4e0b\u3002\u8fd9\u8ba9\u6211\u53cd\u601d\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u548c\u5f00\u53d1\u9886\u57df\u6b63\u5728\u53d1\u751f\u7684\u60c5\u51b5\u3002\u8fd9\u7bc7\u6587\u7ae0\u66f4\u50cf\u662f\u4e00\u8fde\u4e32\u7684\u601d\u8003\uff0c\u800c\u4e0d\u662f\u4e00\u7bc7\u7ed3\u6784\u826f\u597d\u7684\u6587\u7ae0\uff08\u4e0d\u8fc7\u6211\u597d\u50cf\u4e5f\u6ca1\u6709\u5199\u8fc7\u4e00\u7bc7\u7ed3\u6784\u826f\u597d\u3001\u7ecf\u8fc7\u6df1\u601d\u719f\u8651\u3001\u51c6\u5907\u5145\u5206\u7684\u535a\u5ba2\u6587\u7ae0\u3002\uff09\u3002<\/section>\n
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\u5bf9\u673a\u5668\u5b66\u4e60\u9886\u57df\u4ee5\u53ca\u66f4\u5e7f\u5927\u7684\u4eba\u5de5\u667a\u80fd\u9886\u57df\u800c\u8a00\uff0c\u8fc7\u53bb\u5341\u5e74\u5de6\u53f3\u662f\u4e00\u6bb5\u975e\u5e38\u6709\u8da3\u7684\u65f6\u95f4\u3002\u4ece 2010 \u5e74\u5de6\u53f3\u7684\u8bed\u97f3\u8bc6\u522b\u5f00\u59cb\uff0c\u6df1\u5ea6\u5b66\u4e60\u5df2\u7ecf\u5728\u5f53\u5e74\u7684\u6700\u4f73\u6280\u672f\u4e0a\u5b9e\u73b0\u4e86\u5927\u5e45\u63d0\u5347\uff0c\u5e76\u4e14\u5df2\u7ecf\u53ef\u4ee5\u89e3\u51b3\u591a\u79cd\u591a\u6837\u7684\u9ad8\u96be\u5ea6\u4e5f\u5b9e\u7528\u7684\u95ee\u9898\uff0c\u6bd4\u5982\u4ece\u56fe\u50cf\u4e2d\u8bc6\u522b\u7269\u4f53\u548c\u673a\u5668\u7ffb\u8bd1\u3002\u5230 2014 \u5e74\uff0c\u5f88\u660e\u663e\u5927\u7684\u8981\u6765\u4e86\uff0c\u6bcf\u4e00\u5bb6\u5927\u516c\u53f8\uff0c\u65e0\u8bba\u662f\u4e0d\u662f\u79d1\u6280\u516c\u53f8\uff0c\u90fd\u60f3\u786e\u4fdd\u81ea\u5df1\u662f\u8fd9\u573a\u6301\u7eed\u9769\u547d\u7684\u4e00\u90e8\u5206\uff0c\u5e76\u4ece\u4e2d\u83b7\u5229\u3002<\/section>\n
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\u7531\u4e8e\u90a3\u65f6\u5019\uff0c\u6df1\u5ea6\u5b66\u4e60\u5f88\u591a\u5e74\u6765\u90fd\u672a\u66fe\u6210\u4e3a\u4e3b\u6d41\uff0c\u56e0\u6b64\u51e0\u4e4e\u6ca1\u6709\u672c\u79d1\u8bfe\u7a0b\u4e25\u8083\u5730\u6559\u6388\u6df1\u5ea6\u5b66\u4e60\u80cc\u540e\u7684\u57fa\u672c\u601d\u60f3\u548c\u6280\u672f\u3002\u4e8b\u5b9e\u4e0a\uff0c\u5f53\u7136\u8bb8\u591a\u673a\u5668\u5b66\u4e60\u548c\u4eba\u5de5\u667a\u80fd\u8bfe\u7a0b\u90fd\u53ea\u4f1a\u7b80\u5355\u63d0\u5230\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u3002\u4e8e\u662f\uff0c\u6df1\u5ea6\u5b66\u4e60\u4eba\u624d\u65b9\u9762\u51fa\u73b0\u4e86\u5de8\u5927\u7684\u4f9b\u9700\u4e0d\u5e73\u8861\uff0c\u8fd9\u5c31\u8feb\u4f7f\u90a3\u4e9b\u6bd4\u5176\u4ed6\u516c\u53f8\u66f4\u65e9\u770b\u5230\u8fd9\u573a\u9769\u547d\u7684\u516c\u53f8\u6fc0\u8fdb\u5730\u4ece\u5168\u7403\u5c11\u6570\u5b9e\u9a8c\u5ba4\u62db\u52df\u535a\u58eb\u751f\u3002<\/section>\n
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\u56e0\u4e3a\u5f53\u65f6\u4e16\u754c\u4e0a\u53ea\u6709\u5c11\u6570\u51e0\u4e2a\u5b9e\u9a8c\u5ba4\u5728\u8ba4\u771f\u7814\u7a76\u6df1\u5ea6\u5b66\u4e60\uff08\u4e0d\u50cf\u73b0\u5728\u8fd9\u6837\uff09\uff0c\u6240\u4ee5\u516c\u53f8\u4eec\u90fd\u5728\u6fc0\u70c8\u4e89\u593a\u8fd9\u4e9b\u5b9e\u9a8c\u5ba4\u7684\u6bd5\u4e1a\u751f\u751a\u81f3\u6559\u6388\u3002\u8fd9\u79cd\u6fc0\u70c8\u7684\u4e89\u593a\u81ea\u7136\u5bfc\u81f4\u8fd9\u4e9b\u62e5\u6709\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u7ecf\u9a8c\u548c\u4e13\u4e1a\u77e5\u8bc6\u7684\u535a\u58eb\u751f\u7684\u85aa\u916c\u5927\u5e45\u589e\u52a0\u3002\u8fd9\u4f7f\u5f97\u4eba\u5de5\u667a\u80fd\u9886\u57df\u4e2d\u7684\u5b66\u672f\u85aa\u916c\u4e0e\u884c\u4e1a\u85aa\u916c\u4e4b\u95f4\u7684\u5dee\u8ddd\u8fd8\u8981\u66f4\u5927\uff0c\u8ba9\u5927\u5b66\u5f88\u96be\u62db\u52df\u5230\u6b64\u7c7b\u4eba\u624d\u6765\u6559\u80b2\u5b66\u751f\u3002\u4e8b\u5b9e\u4e0a\uff0c\u5728 2010 \u5e74\u81f3 2015 \u5e74\u671f\u95f4\u83b7\u5f97\u535a\u58eb\u5b66\u4f4d\u5e76\u4e14\u5728\u653b\u8bfb\u535a\u58eb\u5b66\u4f4d\u671f\u95f4\u7814\u7a76\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\uff0c\u5e76\u4f5c\u4e3a\u7ec8\u8eab\u6559\u804c\u4eba\u5458\u52a0\u5165\u5927\u5b66\u7684\u4eba\u975e\u5e38\u5c11\uff0c\u6211\u5c31\u662f\u5176\u4e2d\u4e4b\u4e00\u3002\u8fd9\u79cd\u73b0\u8c61\u81ea\u7136\u4f1a\u5bfc\u81f4\u4eba\u624d\u4f9b\u5e94\u7684\u589e\u52a0\u5927\u5927\u5ef6\u8fdf\uff0c\u800c\u9700\u6c42\u8fd8\u5728\u7ee7\u7eed\u98d9\u5347\u3002<\/section>\n
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\u4f8b\u5982\uff0c\u5728 Prescient Design \u516c\u53f8\uff0c\u6211\u4eec\u4e00\u76f4\u5728\u4e0d\u65ad\u62db\u8058\u535a\u58eb\u7ea7\u7814\u7a76\u79d1\u5b66\u5bb6\uff0c\u4ed6\u4eec\u4e13\u95e8\u4ece\u4e8b\u4e0d\u786e\u5b9a\u6027\u91cf\u5316\u3001\u56e0\u679c\u673a\u5668\u5b66\u4e60\u3001\u51e0\u4f55\u6df1\u5ea6\u5b66\u4e60\u3001\u8ba1\u7b97\u673a\u89c6\u89c9\u7b49\u65b9\u9762\u7684\u7814\u7a76\uff0c\u56e0\u4e3a\u8fd9\u4e9b\u9886\u57df\u7684\u7814\u7a76\u548c\u5f00\u53d1\u4e0e\u6211\u4eec\u7684\u5de5\u4f5c\uff08\u5373 lab-in-the-loop\uff09\u76f4\u63a5\u76f8\u5173\u3002<\/section>\n
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\u5728\u8fd9\u4e00\u70b9\u4e0a\uff0c\u6211\u89c9\u5f97\u4e0a\u5468\u5728 NeurIPS \u5927\u4f1a\u4e0a\u4e0e\u9ad8\u5e74\u7ea7\u535a\u58eb\u751f\u548c\u535a\u58eb\u540e\u7684\u4ea4\u8c08\u548c\u8046\u542c\u4e2d\u611f\u53d7\u5230\u7684\u9ad8\u5ea6\u7126\u8651\u548c\u632b\u8d25\u611f\u662f\u4e8b\u51fa\u6709\u56e0\u7684\u3002\u4ed6\u4eec\u4e2d\u7684\u4e00\u4e9b\u4eba\u53ef\u80fd\u611f\u5230\u88ab\u80cc\u53db\u4e86\uff0c\u56e0\u4e3a\u4ed6\u4eec\u4e4b\u524d\u5f97\u5230\u7684\u627f\u8bfa\u4e0e\u73b0\u5728\u770b\u5230\u7684\u5dee\u8ddd\u6b63\u5728\u8fc5\u901f\u62c9\u5927\u3002\u4ed6\u4eec\u4e2d\u7684\u4e00\u4e9b\u4eba\u53ef\u80fd\u611f\u5230\u65e0\u52a9\uff0c\u56e0\u4e3a\u4ed6\u4eec\u9009\u62e9\u7684\u7814\u7a76\u8bfe\u9898\u548c\u4ed6\u4eec\u5728\u8fd9\u4e9b\u8bfe\u9898\u4e0a\u7684\u5de5\u4f5c\u4f3c\u4e4e\u4e0d\u592a\u53d7\u8fd9\u4e9b\u516c\u53f8\u7684\u6b22\u8fce\u3002\u4ed6\u4eec\u4e2d\u7684\u4e00\u4e9b\u4eba\u53ef\u80fd\u611f\u5230\u632b\u8d25\uff0c\u56e0\u4e3a\u672c\u79d1\u751f\u6216\u7855\u58eb\u751f\u4f3c\u4e4e\u66f4\u64c5\u957f\u8bad\u7ec3\u548c\u90e8\u7f72\u8fd9\u4e9b\u5927\u6a21\u578b\uff0c\u800c\u4e14\u770b\u8d77\u6765\u6bd4\u4ed6\u4eec\u66f4\u6709\u4ef7\u503c\u3002<\/strong><\/section>\n
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\u53c2\u8003\u94fe\u63a5\uff1a<\/sup><\/em><\/section>\n
https:\/\/kyunghyuncho.me\/i-sensed-anxiety-and-frustration-at-neurips24\/<\/em><\/sup><\/section>\n
https:\/\/www.reddit.com\/r\/MachineLearning\/comments\/1hjp5gc\/d_i_sensed_anxiety_and_frustration_at_neurips24\/<\/sup><\/em><\/section>\n

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