{"id":1133,"date":"2025-12-26T10:00:00","date_gmt":"2025-12-26T02:00:00","guid":{"rendered":"https:\/\/smartaiunion.com\/?p=1133"},"modified":"2025-12-25T14:46:16","modified_gmt":"2025-12-25T06:46:16","slug":"2025%e5%b9%b4%e7%9a%84%e4%b8%80%e5%bc%a0%e5%9b%be%ef%bc%8cai%e6%ad%a3%e7%bb%8f%e5%8e%86%e5%9c%88%e5%9c%b0%e8%bf%90%e5%8a%a8%ef%bc%8c%e5%88%86%e5%8c%96%e4%b8%a4%e5%a4%a7%e9%98%b5","status":"publish","type":"post","link":"https:\/\/smartaiunion.com\/index.php\/2025\/12\/26\/1133\/","title":{"rendered":"2025\u5e74\u7684\u4e00\u5f20\u56fe\uff0cAI\u6b63\u7ecf\u5386\u201c\u5708\u5730\u8fd0\u52a8\u201d\uff0c\u5206\u5316\u4e24\u5927\u9635\u8425"},"content":{"rendered":"\n<p>2025\u5e7412\u6708\uff0c\u5723\u5730\u4e9a\u54e5\uff0c\u9633\u5149\u4e0b\u7684\u68d5\u6988\u6811\u6447\u66f3\u4f9d\u65e7\u3002<\/p>\n\n\n\n<p>\u524d\u4e0d\u4e45\u5728\u8fd9\u91cc\u4e3e\u529e\u4e86AI \u9886\u57df\u7684\u201c\u5965\u6797\u5339\u514b\u201d\u2014\u2014NeurIPS\uff08\u795e\u7ecf\u4fe1\u606f\u5904\u7406\u7cfb\u7edf\u5927\u4f1a\uff09\uff0c\u8d85\u8fc715000\u540d\u53c2\u4f1a\u8005\uff0c5300\u591a\u7bc7\u4e2d\u7a3f\u8bba\u6587\uff0cPoster Session\uff08\u6d77\u62a5\u73af\u8282\uff09\u6324\u5f97\u50cf\u9ad8\u5cf0\u671f\u7684\u5317\u4eac\u5730\u94c1\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/img.huxiucdn.com\/article\/content\/25-12-25\/0c9395ff-c6c7-49c3-9e8e-c2a8d2a6718a.png?imageView2\/2\/w\/1000\/format\/png\/interlace\/1\/q\/85\" alt=\"\"\/><\/figure>\n\n\n\n<p>\u7136\u800c\uff0c\u4eca\u5e74\u7684\u91d1\u724c\u699c\u6709\u70b9\u5206\u88c2\u3002<\/p>\n\n\n\n<p>\u54c8\u4f5b\u589e\u957f\u5b9e\u9a8c\u5ba4\u8bbf\u95ee\u6559\u6388 Pierre-Alexandre Balland \u6574\u7406\u4e86 NeurIPS 2025 \u9876\u7ea7\u8d21\u732e\u673a\u6784\u6570\u636e\uff0cAI \u6b63\u5728\u7ecf\u5386\u4e00\u573a\u524d\u6240\u672a\u6709\u7684\u201c\u5708\u5730\u8fd0\u52a8\u201d\uff0c\u5206\u5316\u6210\u4e3a\u4e86\u4e24\u4e2a\u9635\u8425\uff1a<\/p>\n\n\n\n<p>\u7f8e\u56fd\u9635\u8425\u4e0e\u4e2d\u56fd\u9635\u8425\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/img.huxiucdn.com\/article\/content\/25-12-25\/4491ac04-e776-4604-a845-ffb1f0525399.png?imageView2\/2\/w\/1000\/format\/png\/interlace\/1\/q\/85\" alt=\"\"\/><\/figure>\n\n\n\n<p>\u6b27\u6d32\u4e0e\u5176\u5b83\u6b63\u5728\u8fb9\u7f18\u5316\u3002<\/p>\n\n\n\n<p>\u9664\u4e86\u725b\u6d25\u3001\u82cf\u9ece\u4e16\u8054\u90a6\u7406\u5de5\uff08ETH\uff09\u7b49\u96f6\u661f\u4eae\u70b9\uff0c\u6b27\u6d32\u4f3c\u4e4e\u6b63\u5728\u9010\u6e10\u9000\u51fa AI \u7684\u4e3b\u6218\u573a\u3002<\/p>\n\n\n\n<p>\u800c\u4e14\uff0c\u8fd9\u8d85\u8d8a\u4e86\u201c\u4e2d\u7f8e\u4e24\u5927\u9635\u8425\u7684\u7ade\u8d5b\u201d\uff0c\u53d8\u6210\u4e86\u4e24\u79cd\u5b8c\u5168\u4e0d\u540c\u7684\u79d1\u7814\u751f\u6001\u7cfb\u7edf\u7684\u78b0\u649e\u3002<\/p>\n\n\n\n<p><strong>\u4e00\u3001\u79d1\u5b66\u7684\u79c1\u6709\u5316<\/strong><\/p>\n\n\n\n<p>\u8ba9\u6211\u4eec\u5148\u6765\u770b\u7f8e\u56fd\u9635\u8425\u3002<\/p>\n\n\n\n<p>\u7b2c\u4e00\u773c\uff0c\u6211\u4eec\u770b\u5230\u7684\u7f8e\u56fd\u7684\u4f18\u52bf\uff0c<\/p>\n\n\n\n<p>\u4f46\u662f\u4f60\u591a\u770b\u4e00\u773c\uff0c\u5c31\u4f1a\u53d1\u73b0\uff0c\u5b83\u771f\u6b63\u7684\u6050\u6016\u5730\u65b9\u5728\u4e8e\u7ed3\u6784\uff1a<\/p>\n\n\n\n<p>Google DeepMind&nbsp;(4.84%)\u3001Meta&nbsp;(4.9%)\u3001Microsoft&nbsp;(2.5%)\uff0c\u662f\uff0c\u65af\u5766\u798f\u3001MIT \u7b49\u8001\u724c\u540d\u6821\u8fd8\u5c1a\u5728\u699c\u5355\u4e2d\uff0c\u4f46\u5176\u5149\u8292\u5df2\u88ab\u8fd9\u4e9b\u79d1\u6280\u5de8\u5934\u6240\u63a9\u76d6\u3002<\/p>\n\n\n\n<p>\u6bd4\u5982\uff0c\u65af\u5766\u798f\u5927\u5b66\u7684\u4efd\u989d\u6ed1\u843d\u81f3 2.58%\uff0c\u4ec5\u4e3a Google \u7684\u4e00\u534a\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/img.huxiucdn.com\/article\/content\/25-12-25\/ca2e58c9-747f-4f91-a388-885753e55aa9.png?imageView2\/2\/w\/1000\/format\/png\/interlace\/1\/q\/85\" alt=\"\"\/><\/figure>\n\n\n\n<p>\u8fd9\u4e5f\u6807\u5fd7\u7740\u4e00\u4e2a\u65f6\u4ee3\u7684\u7ec8\u7ed3\uff1a\u201c\u8f66\u5e93\u521b\u65b0\u201d\u6b7b\u4e86\uff0c\u751a\u81f3\u201c\u5b9e\u9a8c\u5ba4\u521b\u65b0\u201d\u4e5f\u6b63\u5728\u6b7b\u53bb\uff0c\u201c\u5de5\u5382\u521b\u65b0\u201d\u6210\u4e3a\u4e86\u4e3b\u5bb0\u3002<\/p>\n\n\n\n<p>\u8fc7\u53bb\uff0c\u7269\u7406\u5b66\u5bb6\u867d\u7136\u9020\u4e0d\u8d77\u5bf9\u649e\u673a\uff0c\u4f46\u4ed6\u4eec\u53ef\u4ee5\u5171\u4eab CERN\uff08\u6b27\u6d32\u6838\u5b50\u7814\u7a76\u7ec4\u7ec7\uff09\u7684\u6570\u636e\u3002<\/p>\n\n\n\n<p>\u4f46\u5728 AI \u9886\u57df\uff0c\u5e76\u6ca1\u6709\u4e00\u4e2a\u516c\u5171\u7684\u201c\u5bf9\u649e\u673a\u201d\u3002<\/p>\n\n\n\n<p>\u66f4\u91cd\u8981\u7684\u662f\uff0c\u5728\u6df1\u5ea6\u5b66\u4e60\u65f6\u4ee3\u3002<\/p>\n\n\n\n<p>Idea is cheap, Scale is expensive\u3002<\/p>\n\n\n\n<p>\u9a8c\u8bc1\u4e00\u4e2a\u5173\u4e8e Scaling Law \u7684\u731c\u60f3\uff0c\u6216\u8005\u8bad\u7ec3\u4e00\u4e2a\u7c7b\u4f3c GPT-4 \u7684\u57fa\u5ea7\u6a21\u578b\uff0c\u9700\u8981\u6570\u5343\u5f20 H100 GPU \u8fde\u7eed\u8fd0\u884c\u6570\u6708\u3002<\/p>\n\n\n\n<p>\u8fd9\u79cd\u9ad8\u8fbe\u6570\u4ebf\u7f8e\u5143\u7684\u5b9e\u9a8c\uff0c\u65af\u5766\u798f\u505a\u4e0d\u4e86\uff0cMIT \u505a\u4e0d\u4e86\uff0c\u4f2f\u514b\u5229\u4e5f\u505a\u4e0d\u4e86\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/img.huxiucdn.com\/article\/content\/25-12-25\/6c7cc2a3-735c-4cbd-ad91-197c6a7a1b9f.png?imageView2\/2\/w\/1000\/format\/png\/interlace\/1\/q\/85\" alt=\"\"\/><\/figure>\n\n\n\n<p>\u6240\u4ee5\u4f60\u770b\u5230\uff0c\u7845\u8c37\u51fa\u73b0\u4e86\u4e00\u79cd\u65b0\u578b\u7684\u201c\u4f9d\u9644\u5173\u7cfb\u201d\uff0c<\/p>\n\n\n\n<p>\u4e5f\u5c31\u662f\u6240\u8c13\u7684\u201c\u53cc\u91cd\u8eab\u4efd\u201d\uff08Dual Affiliation\uff09\u2014\u2014\u67d0\u4f4d\u5927\u725b\u6559\u6388\u4f9d\u7136\u6302\u7740\u5927\u5b66\u7684\u5934\u8854\uff0c\u4f46\u4ed6\u7684\u8089\u8eab\u548c\u7075\u9b42\u65e9\u5df2\u5c5e\u4e8e Meta \u6216 OpenAI\u3002\u4ed6\u5728\u5b66\u6821\u6559\u4e66\uff0c\u53ef\u80fd\u53ea\u662f\u4e3a\u4e86\u5e2e\u5927\u5382\u7b5b\u9009\u6700\u806a\u660e\u7684\u5934\u8111\u3002<\/p>\n\n\n\n<p>\u8fd9\u79cd\u201c\u65cb\u8f6c\u95e8\u201d\u673a\u5236\uff0c\u8ba9\u7f8e\u56fd\u9ad8\u6821\u9010\u6e10\u9000\u5316\u4e3a\u79d1\u6280\u5de8\u5934\u7684\u201c\u4eba\u529b\u8d44\u6e90\u90e8\u201d\u548c\u201c\u5916\u5305\u6d4b\u8bd5\u7ec4\u201d\u3002<\/p>\n\n\n\n<p>\u8fd9\u5c31\u5bfc\u81f4\u4e86\u4e00\u4e2a\u6781\u5ea6\u5371\u9669\u7684\u540e\u679c\uff1a\u79d1\u5b66\u7684\u53ef\u91cd\u590d\u6027\uff08Reproducibility\uff09\u5371\u673a\uff0c\u6f14\u53d8\u6210\u4e86\u201c\u9a8c\u8bc1\u6743\u201d\u7684\u5784\u65ad\u3002<\/p>\n\n\n\n<p>\u5f53 Google \u53d1\u8868\u4e00\u7bc7\u8bba\u6587\u8bf4\u201c\u6211\u4eec\u53d1\u73b0\u4e86\u4e00\u79cd\u65b0\u7684\u67b6\u6784\u673a\u5236\u201d\uff0c\u5b66\u672f\u754c\u53ea\u80fd\u70b9\u5934\uff0c\u56e0\u4e3a\u4f60\u6ca1\u6709\u7b97\u529b\u53bb\u8bc1\u4f2a\u3002<\/p>\n\n\n\n<p>\u5e74\u8f7b\u7684\u535a\u58eb\u751f\u4eec\u4e5f\u5f88\u65e9\u5c31\u610f\u8bc6\u5230\uff1a<\/p>\n\n\n\n<p>\u5982\u679c\u60f3\u8981\u5728 SOTA\uff08State of the Art\uff09\u6a21\u578b\u4e0a\u7559\u540d\uff0c\u6211\u4e0d\u80fd\u7559\u5728\u5b66\u6821\uff0c\u552f\u4e00\u7684\u51fa\u8def\u5c31\u662f\u8fdb\u5165\u5927\u5382\u3002<\/p>\n\n\n\n<p>\u7f8e\u56fd\u5b66\u672f\u754c\u6b63\u5728\u9010\u6e10\u9000\u5316\u4e3a\u5927\u5382\u7684\u201c\u9884\u79d1\u73ed\u201d\u548c\u201c\u4eba\u624d\u8fc7\u6ee4\u5668\u201d\u3002<\/p>\n\n\n\n<p>\u8fd9\u5c31\u662f\u73b0\u5b9e\u2014\u2014\u79d1\u6280\u79c1\u6709\u5316\u4e86\u3002<\/p>\n\n\n\n<p>\u4e8c\u3001\u4e2d\u56fd\u519b\u56e2\u7684\u201c\u975e\u5bf9\u79f0\u6218\u4e89\u201d<\/p>\n\n\n\n<p>\u89c6\u7ebf\u8f6c\u5411\u56fe\u8868\u7684\u53f3\u4fa7\uff0c\u90a3\u662f\u4ee3\u8868\u4e2d\u56fd\u7684\u7ea2\u8272\u8272\u5757\u3002\u8fd9\u91cc\u5448\u73b0\u51fa\u4e00\u79cd\u622a\u7136\u4e0d\u540c\u7684\u751f\u6001\uff1a\u6e05\u534e\u5927\u5b66\uff084.73%\uff09\u3001\u5317\u4eac\u5927\u5b66\uff083.63%\uff09\u3001\u4e2d\u56fd\u79d1\u5b66\u9662\uff083.2%\uff09\u3002<\/p>\n\n\n\n<p>\u5728\u897f\u65b9\u89c2\u5bdf\u5bb6\u773c\u4e2d\u2014\u2014\u8fd9\u662f\u4e0d\u53ef\u601d\u8bae\u7684\u3002<\/p>\n\n\n\n<p>\u4e3a\u4ec0\u4e48\u5728\u7b97\u529b\u53d7\u9650\uff08\u82af\u7247\u7981\u4ee4\uff09\u3001\u5927\u6a21\u578b\u57fa\u5ea7\u7531\u7f8e\u56fd\u4e3b\u5bfc\u7684\u80cc\u666f\u4e0b\uff0c<\/p>\n\n\n\n<p>\u4e2d\u56fd\u9ad8\u6821\u4f9d\u7136\u80fd\u5360\u636e\u5168\u7403\u5927\u7ea6\u4e09\u5206\u4e4b\u4e00\u7684\u7248\u56fe\uff1f<\/p>\n\n\n\n<p>\u5176\u5b9e\uff0c\u8fd9\u53cd\u6620\u4e86\u4e2d\u56fd AI \u53d1\u5c55\u7684\u51e0\u4e2a\u7279\u8d28\uff1a<\/p>\n\n\n\n<p>1\u3001\u6570\u5b66\u5b88\u591c\u4eba<\/p>\n\n\n\n<p>\u5982\u679c\u8bf4\u7f8e\u56fd\u5728\u505a\u201c\u91cd\u5de5\u4e1a\u201d\uff0c\u90a3\u4e48\u4e2d\u56fd\u9ad8\u6821\u6b63\u5728\u505a\u7cbe\u5bc6\u7684\u201c\u5fae\u96d5\u201d\u3002\u4ed4\u7ec6\u7814\u8bfb\u6e05\u534e\u3001\u5317\u5927\u5165\u9009\u7684\u8bba\u6587\uff0c\u4f60\u4f1a\u53d1\u73b0\u4e00\u4e2a\u660e\u663e\u7684\u7279\u5f81\uff1a\u65e2\u7136\u62fc\u4e0d\u4e86\u7edd\u5bf9\u7b97\u529b\uff0c\u90a3\u5c31\u62fc\u6570\u5b66\u76f4\u89c9\u548c\u5de5\u7a0b\u6781\u81f4\u3002<\/p>\n\n\n\n<p>\u4e2d\u56fd\u62e5\u6709\u5168\u7403\u89c4\u6a21\u6700\u5927\u7684\u7406\u5de5\u79d1\u535a\u58eb\u751f\u7fa4\u4f53\u3002<\/p>\n\n\n\n<p>\u5728\u201c\u4eba\u6d77\u6218\u672f\u201d\u4e0e\u201c\u52e4\u594b\u7ea2\u5229\u201d\u7684\u52a0\u6301\u4e0b\uff0c\u4e2d\u56fd\u56e2\u961f\u5927\u91cf\u96c6\u4e2d\u5728\u4ee5\u4e0b\u773c\u775b\u9886\u57df\uff1a<\/p>\n\n\n\n<p>&#8211; Post-Training\uff08\u540e\u8bad\u7ec3\uff09\u9636\u6bb5\u7684\u4f18\u5316\uff1a\u5982\u4f55\u7528\u66f4\u5c11\u7684\u6570\u636e\u8ba9\u6a21\u578b\u66f4\u806a\u660e\uff1f<\/p>\n\n\n\n<p>&#8211; \u9ad8\u6548\u63a8\u7406\u7b97\u6cd5\uff1a\u5982\u4f55\u5728\u6709\u9650\u7684\u663e\u5b58\u91cc\u585e\u8fdb\u66f4\u5927\u7684\u6a21\u578b\uff1f<\/p>\n\n\n\n<p>&#8211; AI for Science\uff1a\u7528 AI \u53bb\u89e3\u86cb\u767d\u8d28\u6298\u53e0\u3001\u53bb\u9884\u6d4b\u5929\u6c14\u3002<\/p>\n\n\n\n<p>\u8fd9\u4e9b\u9886\u57df\u4e0d\u9700\u8981\u4e07\u5361\u96c6\u7fa4\uff0c<\/p>\n\n\n\n<p>\u4f46\u9700\u8981\u6781\u9ad8\u7684\u667a\u529b\u5bc6\u5ea6\u548c\u6570\u5b66\u529f\u5e95\u3002<\/p>\n\n\n\n<p>\u4e2d\u56fd\u9ad8\u6821\u6b63\u5728\u6210\u4e3a\u5168\u7403 AI \u7406\u8bba\u7814\u7a76\u7684\u6700\u540e\u4e00\u9053\u9632\u7ebf\uff0c\u4ed6\u4eec\u5728\u4e3a\u90a3\u4e2a\u53ef\u80fd\u5230\u6765\u7684\u201c\u540e Transformer \u65f6\u4ee3\u201d\u50a8\u5907\u5f39\u836f\u3002<\/p>\n\n\n\n<p>\u5f53\u7136\uff0c\u4e0d\u540c\u4e8e\u7f8e\u56fd\u4f9d\u8d56\u4f01\u4e1a CAPEX\uff08\u8d44\u672c\u652f\u51fa\uff09\uff0c\u4e2d\u56fd\u7684\u7b97\u529b\u57fa\u7840\u8bbe\u65bd\u5efa\u8bbe\u66f4\u591a\u5e26\u6709\u516c\u5171\u57fa\u7840\u8bbe\u65bd\u5c5e\u6027\uff08\u5982\u5404\u5730\u7684\u7b97\u529b\u4e2d\u5fc3\uff09\uff0c\u8fd9\u5728\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u7f13\u89e3\u4e86\u9ad8\u6821\u7684\u7b97\u529b\u7126\u8651\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/img.huxiucdn.com\/article\/content\/25-12-25\/b8842caa-8317-4848-a932-c84713f29482.png?imageView2\/2\/w\/1000\/format\/png\/interlace\/1\/q\/85\" alt=\"\"\/><\/figure>\n\n\n\n<p>2\u3001\u201c\u963f\u91cc\u6a21\u5f0f\u201d<\/p>\n\n\n\n<p>\u5728\u4f01\u4e1a\u754c\uff0c\u963f\u91cc\u5df4\u5df4\u4ee5 146 \u7bc7\u8bba\u6587\u7684\u6210\u7ee9\u9886\u8dd1\uff0c\u6210\u4e3a\u4e86\u4e2d\u56fd\u79d1\u6280\u516c\u53f8\u7684\u4e00\u4e2a\u6837\u672c\u3002\u8fd9\u4ee3\u8868\u4e86\u4e00\u79cd\u6df7\u5408\u6253\u6cd5\uff1a\u57fa\u5efa\u6258\u5e95 + \u573a\u666f\u9a71\u52a8\u2014\u2014\u65e2\u6709\u9ad8\u6821\u7684\u57fa\u7840\u7814\u7a76\u6df1\u5ea6\uff0c\u53c8\u6709\u4f01\u4e1a\u7684\u573a\u666f\u843d\u5730\u80fd\u529b\u3002<\/p>\n\n\n\n<p>\u4e0d\u540c\u4e8eGoogle\u7684DeepMind \u90a3\u79cd\u201c\u4e3a\u4e86\u63a2\u7d22\u667a\u80fd\u672c\u8d28\u201d\u7684\u7eaf\u7cb9\u79d1\u7814\uff0c\u963f\u91cc\u7684\u7814\u7a76\u5e26\u6709\u6781\u5f3a\u7684\u52a1\u5b9e\u8272\u5f69\u2014\u2014\u4e3a\u4e86\u7535\u5546\u63a8\u8350\u3001\u4e3a\u4e86\u4e91\u670d\u52a1\u6548\u7387\u3001\u4e3a\u4e86 Qwen\uff08\u901a\u4e49\u5343\u95ee\uff09\u7684\u5b9e\u9645\u843d\u5730\u3002<\/p>\n\n\n\n<p>\u8fd9\u79cd\u201c\u5b9e\u7528\u4e3b\u4e49\u201d\u6216\u8bb8\u4e0d\u591f\u6027\u611f\uff0c\u4f46\u5728\u7b97\u529b\u6602\u8d35\u7684\u4eca\u5929\uff0c\u5b83\u53ef\u80fd\u662f\u4e00\u6761\u66f4\u53ef\u6301\u7eed\u7684\u751f\u5b58\u4e4b\u8def\u3002<\/p>\n\n\n\n<p>\u4e09\u3001\u6b27\u6d32\u7684\u5931\u843d\uff0c\u5176\u4ed6\u5730\u533a\u7684\u661f\u706b<\/p>\n\n\n\n<p>\u5982\u679c\u770b\u6b27\u7f57\u5df4\uff0c\u90a3\u91cc\u6b63\u5728\u7ecf\u5386\u75db\u82e6\u7684\u201c\u53bb\u4e2d\u5fc3\u5316\u201d\u3002<\/p>\n\n\n\n<p>\u9664\u4e86\u725b\u6d25\u3001\u82cf\u9ece\u4e16\u8054\u90a6\u7406\u5de5\uff08ETH\uff09\u7b49\u96f6\u661f\u7684\u706f\u5854\uff0c\u6b27\u6d32\u5728 AI \u7248\u56fe\u4e0a\u6b63\u5728\u8fb9\u7f18\u5316\u3002<\/p>\n\n\n\n<p>\u6b27\u6d32\u9009\u62e9\u4e86\u201c\u76d1\u7ba1\u4f18\u5148\u201d\uff08Regulation First\uff09\u7684\u9053\u8def\uff0c\u8fd9\u867d\u7136\u5728\u4f26\u7406\u4e0a\u5360\u636e\u4e86\u9ad8\u5730\uff0c\u4f46\u4e5f\u5bfc\u81f4\u4e86\u8d44\u672c\u7684\u5bd2\u8749\u6548\u5e94\uff0c\u4eba\u624d\u5927\u91cf\u5916\u6d41\u3002<\/p>\n\n\n\n<p>\u800c\u4e14\u6ca1\u6709\u5de8\u5934\uff08DeepMind \u867d\u5728\u4f26\u6566\uff0c\u4f46\u7075\u9b42\u5c5e\u4e8e\u8c37\u6b4c\uff09\uff0c\u5c31\u6ca1\u6709\u751f\u6001\u3002<\/p>\n\n\n\n<p>\u4e0d\u8fc7\uff0c\u503c\u5f97\u6ce8\u610f\u7684\u662f\u201c\u65b0\u5174\u52bf\u529b\u201d\u7684\u5d1b\u8d77\uff1a<\/p>\n\n\n\n<p>\u6bd4\u5982\u65b0\u52a0\u5761\uff08NUS\/NTU\uff09\uff1a\u51ed\u501f\u6781\u9ad8\u7684\u4eba\u624d\u5f15\u8fdb\u6548\u7387\uff0c\u6210\u4e3a\u4e86\u8fde\u63a5\u4e1c\u897f\u65b9\u7684\u67a2\u7ebd\u3002<\/p>\n\n\n\n<p>\u518d\u5982\u4e2d\u4e1c\uff08MBZUAI\uff09\uff1a\u963f\u8054\u914b\u6b63\u5728\u7528\u77f3\u6cb9\u6362\u7b97\u529b\uff0c\u7b80\u5355\u7c97\u66b4\u4f46\u6709\u6548\u3002<\/p>\n\n\n\n<p>\u8fd8\u6709\u97e9\u56fd\uff08KAIST\uff09\uff1a\u5728\u673a\u5668\u4eba\u4e0e\u5177\u8eab\u667a\u80fd\u9886\u57df\uff0c\u5c55\u73b0\u51fa\u4e86\u60ca\u4eba\u7684\u654f\u9510\u5ea6\u3002<\/p>\n\n\n\n<p>\u8fd9\u544a\u8bc9\u6211\u4eec\uff0c\u5373\u4fbf\u5728\u4e2d\u7f8e\u4e24\u5927\u5de8\u5934\u5784\u65ad\u7684\u65f6\u4ee3\uff0c\u53ea\u8981\u627e\u51c6\u5782\u76f4\u8d5b\u9053\uff08Niche\uff09\uff0c\u4f9d\u7136\u6709\u5f2f\u9053\u8d85\u8f66\u7684\u673a\u4f1a\u3002<\/p>\n\n\n\n<p>\u56db\u3001\u201c\u5bcc\u4eba\u79d1\u5b66\u201dVS\u201c\u7a77\u4eba\u79d1\u5b66\u201d<\/p>\n\n\n\n<p>\u900f\u8fc7 NeurIPS 2025\uff0c\u4e00\u4e2a\u66f4\u6df1\u5c42\u6b21\u7684\u54f2\u5b66\u5371\u673a\u6d6e\u51fa\u6c34\u9762\u3002<\/p>\n\n\n\n<p>AI \u7814\u7a76\u6b63\u5728\u5206\u88c2\u4e3a\u4e24\u4e2a\u4e0d\u53ef\u8c03\u548c\u7684\u9636\u7ea7\u3002<\/p>\n\n\n\n<p>1\u3001\u5bcc\u4eba\u79d1\u5b66\uff08Rich Science\uff09<\/p>\n\n\n\n<p>\u8fd9\u662f\u5c5e\u4e8e Google\u3001Meta \u548c OpenAI \u7684\u6e38\u620f\u3002<\/p>\n\n\n\n<p>\u4ed6\u4eec\u7684\u7814\u7a76\u5173\u952e\u8bcd\u662f\uff1aEmergence\uff08\u6d8c\u73b0\uff09\u3001Scaling\uff08\u6269\u5c55\uff09\u3001World Models\uff08\u4e16\u754c\u6a21\u578b\uff09\u3002\u4ed6\u4eec\u7684\u65b9\u6cd5\u8bba\u662f\uff1a\u66b4\u529b\u7f8e\u5b66\u3002\u5982\u679c\u6a21\u578b\u4e0d\u5de5\u4f5c\uff0c\u90a3\u5c31\u52a0\u5341\u500d\u6570\u636e\uff1b\u5982\u679c\u8fd8\u4e0d\u884c\uff0c\u5c31\u52a0\u5341\u500d\u7b97\u529b\u3002<\/p>\n\n\n\n<p>\u8fd9\u80cc\u540e\u9700\u8981\u5927\u91cf\u7684\u8d44\u6e90\u3001\u5de8\u91cf\u771f\u91d1\u767d\u94f6\u7684\u652f\u6301\u3002<\/p>\n\n\n\n<p>2\u3001\u7a77\u4eba\u79d1\u5b66\uff08Poor Science\uff09<\/p>\n\n\n\n<p>\u8fd9\u662f\u5c5e\u4e8e\u5168\u7403\u7edd\u5927\u591a\u6570\u9ad8\u6821\u7684\u5bbf\u547d\u3002\u4ed6\u4eec\u7684\u7814\u7a76\u5173\u952e\u8bcd\u662f\uff1aFine-Tuning\uff08\u53c2\u6570\u9ad8\u6548\u5fae\u8c03\uff09\u3001Compression\uff08\u538b\u7f29\uff09\u3001Interpretability\uff08\u53ef\u89e3\u91ca\u6027\uff09\u3002\u4ed6\u4eec\u8bd5\u56fe\u89e3\u91ca\u5927\u5382\u7684\u6a21\u578b\u4e3a\u4ec0\u4e48\u6709\u6548\uff08\u56e0\u4e3a\u5927\u5382\u81ea\u5df1\u6ca1\u7a7a\u89e3\u91ca\uff09\uff0c\u6216\u8005\u8bd5\u56fe\u628a\u5927\u5382\u7684\u6a21\u578b\u526a\u88c1\u5f97\u66f4\u5c0f\u3002<\/p>\n\n\n\n<p>\u8fd9\u79cd\u5206\u5316\u6700\u53ef\u6015\u7684\u5730\u65b9\u5728\u4e8e\u201c\u8ba4\u77e5\u76f2\u533a\u201d\u3002<\/p>\n\n\n\n<p>\u6b63\u5982\u524d\u6587\u6240\u8bf4\uff0c\u5982\u679c\u662f\u201c\u5bcc\u4eba\u201d\u5728\u9020\u795e\uff0c\u800c\u201c\u7a77\u4eba\u201d\u751a\u81f3\u65e0\u6cd5\u9760\u8fd1\u795e\uff0c\u90a3\u4e48\u8c01\u6765\u76d1\u7ba1\u795e\uff1f\u5f53\u5b66\u672f\u754c\u5931\u53bb\u4e86\u5bf9\u524d\u6cbf\u6a21\u578b\u7684\u201c\u5ba1\u8ba1\u6743\u201d\uff0c\u5173\u4e8e AI \u5b89\u5168\u3001\u4f26\u7406\u7684\u8ba8\u8bba\u5c31\u5f88\u5bb9\u6613\u53d8\u6210\u7a7a\u4e2d\u697c\u9601\u3002<\/p>\n\n\n\n<p>\u5f53 Google\u7b49\u5de8\u5934\u638c\u63e1\u4e86\u6700\u5f3a\u7684\u79d1\u7814\u529b\u91cf\uff0c\u4ed6\u4eec\u662f\u5426\u4f1a\u9010\u6e10\u5173\u95ed\u5f00\u6e90\u7684\u5927\u95e8\uff1f\u867d\u7136 Meta \u76ee\u524d\u575a\u6301\u5f00\u6e90\uff08Llama \u7cfb\u5217\uff09\uff0c\u4f46\u8fd9\u66f4\u591a\u662f\u4e00\u79cd\u4e3a\u4e86\u5bf9\u6297 OpenAI \u7684\u5546\u4e1a\u7b56\u7565\u3002\u4e00\u65e6\u5e02\u573a\u683c\u5c40\u901a\u8fc7\uff0c\u4f01\u4e1a\u5b9e\u9a8c\u5ba4\u8fd8\u4f1a\u50cf\u8d1d\u5c14\u5b9e\u9a8c\u5ba4\u5f53\u5e74\u90a3\u6837\u65e0\u79c1\u5730\u5206\u4eab\u6676\u4f53\u7ba1\u548c\u4fe1\u606f\u8bba\u5417\uff1f<\/p>\n\n\n\n<p>\u9762\u5bf9\u6b8b\u9177\u73b0\u5b9e\uff0c\u6211\u4eec\u7684\u4ece\u4e1a\u8005\u548c\u7814\u7a76\u8005\u8be5\u4f55\u53bb\u4f55\u4ece\uff1f<\/p>\n\n\n\n<p>\u627f\u8ba4\u5dee\u8ddd\u662f\u81ea\u4fe1\u7684\u5f00\u59cb\u3002<\/p>\n\n\n\n<p>\u5728\u901a\u7528\u5927\u6a21\u578b\uff08AGI\uff09\u7684\u57fa\u5ea7\u8bad\u7ec3\u4e0a\uff0c\u7f8e\u56fd\u5de8\u5934\u7684\u7b97\u529b\u58c1\u5792\u5728\u77ed\u671f\u5185\u662f\u4e0d\u53ef\u903e\u8d8a\u7684\u3002\u4f46\u8fd9\u4e0d\u4ee3\u8868\u6211\u4eec\u6ca1\u6709\u673a\u4f1a\u3002\u5386\u53f2\u8bc1\u660e\uff0c\u6280\u672f\u7684\u7a81\u7834\u5f80\u5f80\u6765\u81ea\u8fb9\u7f18\u3002Transformer \u521a\u51fa\u6765\u65f6\u4e5f\u4e0d\u662f\u4e3a\u4e86\u505a GPT \u7684\u3002<\/p>\n\n\n\n<p>\u6211\u4eec\u5e94\u8be5\u9f13\u52b1\u66f4\u591a\u7684\u201c\u975e\u4e3b\u6d41\u201d\u63a2\u7d22\uff0c\u800c\u4e0d\u662f\u6240\u6709\u4eba\u90fd\u5728\u5377\u540c\u4e00\u4e2a\u699c\u5355\uff0c\u590d\u73b0\u540c\u4e00\u4e2a Llama\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/img.huxiucdn.com\/article\/content\/25-12-25\/b718ae5a-1389-4c13-a988-2564e41ae363.png?imageView2\/2\/w\/1000\/format\/png\/interlace\/1\/q\/85\" alt=\"\"\/><\/figure>\n\n\n\n<p>\u5176\u4e8c\uff0c\u8b66\u60d5\u201c\u8bba\u6587\u901a\u8d27\u81a8\u80c0\u201d\u3002<\/p>\n\n\n\n<p>\u4eca\u5e74 NeurIPS \u7684\u6295\u7a3f\u91cf\u6fc0\u589e\u4e8626%\uff0c\u4f46\u793e\u533a\u91cc\u5f25\u6f2b\u7740\u75b2\u60eb\u3002<\/p>\n\n\n\n<p>\u968f\u7740 AI \u8f85\u52a9\u5199\u4f5c\u7684\u666e\u53ca\uff0c\u5236\u9020\u4e00\u7bc7\u201c\u770b\u8d77\u6765\u5f88\u5b8c\u7f8e\u201d\u7684\u5e73\u5eb8\u8bba\u6587\u53d8\u5f97\u592a\u5bb9\u6613\u4e86\u3002\u4e2d\u56fd\u5b66\u672f\u754c\u5c24\u5176\u8981\u8b66\u60d5\u8fd9\u4e00\u70b9\u3002\u5982\u679c\u6211\u4eec\u7684 4.73% \u5360\u6bd4\u4ec5\u4ec5\u662f\u4f9d\u9760\u5fae\u5c0f\u7684\u6539\u8fdb\uff08Incremental Improvements\uff09\u5806\u51fa\u6765\u7684\uff0c\u90a3\u4e48\u8fd9\u79cd\u7e41\u8363\u662f\u8106\u5f31\u7684\u3002\u6211\u4eec\u9700\u8981\u66f4\u591a\u7684\u6162\u601d\u8003\uff0c\u53bb\u5543\u90a3\u4e9b\u786c\u9aa8\u5934\uff0c\u53bb\u6311\u6218\u90a3\u4e9b\u76ee\u524d\u770b\u8d77\u6765\u4e0d\u53ef\u80fd\u7684\u6570\u5b66\u95ee\u9898\u3002<\/p>\n\n\n\n<p>\u5176\u4e09\uff0c\u5bfb\u627e\u201c\u7b97\u529b\u4e4b\u5916\u201d\u7684\u70bc\u91d1\u672f\u3002<\/p>\n\n\n\n<p>\u5982\u679c\u7b97\u529b\u662f AI \u65f6\u4ee3\u7684\u77f3\u6cb9\uff0c\u90a3\u4e48\u6570\u636e\u8d28\u91cf\u548c\u6a21\u578b\u67b6\u6784\u5c31\u662f\u70bc\u91d1\u672f\u3002<\/p>\n\n\n\n<p>Sentient AGI \u8fd9\u6837\u7684\u521d\u521b\u56e2\u961f\u5728 NeurIPS \u4e0a\u7684\u8868\u73b0\u8bc1\u660e\u4e86\uff0c\u51e0\u4e2a\u4eba\u7684\u5c0f\u56e2\u961f\u5982\u679c\u80fd\u62e5\u6709\u72ec\u7279\u7684\u9ad8\u8d28\u91cf\u6570\u636e\u96c6\uff0c\u6216\u8005\u7cbe\u5999\u7684\u7b97\u6cd5\u8bbe\u8ba1\uff0c\u4f9d\u7136\u53ef\u4ee5\u505a\u51fa\u4e16\u754c\u7ea7\u7684\u5de5\u4f5c\u3002\u4e0d\u8981\u8ba9\u8d2b\u7a77\u9650\u5236\u4e86\u60f3\u8c61\u529b\u3002\u4eba\u8111\u7684\u529f\u8017\u53ea\u6709 20 \u74e6\uff0c\u5374\u4ea7\u751f\u4e86\u667a\u80fd\u3002<\/p>\n\n\n\n<p>\u8fd9\u8bf4\u660e\u66b4\u529b\u8ba1\u7b97\u7edd\u4e0d\u662f\u901a\u5f80 AGI \u7684\u552f\u4e00\u8def\u5f84\u3002<\/p>\n\n\n\n<p>NeurIPS 2025 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