{"id":767729,"date":"2026-04-23T18:11:47","date_gmt":"2026-04-23T10:11:47","guid":{"rendered":"https:\/\/www.alphaseek.cn\/?p=767729"},"modified":"2026-04-23T18:11:47","modified_gmt":"2026-04-23T10:11:47","slug":"%e7%94%a8%e8%a7%86%e8%a7%89%e6%8e%a8%e7%90%86%e6%8e%a2%e7%b4%a2%e7%89%a9%e7%90%86%e4%b8%96%e7%95%8cagi%ef%bc%8celorianai%e8%9e%8d%e8%b5%845500%e4%b8%87%e7%be%8e%e5%85%83","status":"publish","type":"post","link":"https:\/\/www.alphaseek.cn\/?p=767729","title":{"rendered":"\u7528\u201c\u89c6\u89c9\u63a8\u7406\u201d\u63a2\u7d22\u7269\u7406\u4e16\u754cAGI\uff0cElorianAI\u878d\u8d445500\u4e07\u7f8e\u5143"},"content":{"rendered":"
\n

\u6587 | \u963f\u5c14\u6cd5\u516c\u793e<\/p>\n<\/blockquote>\n

AI\u5927\u6a21\u578b\u7684\u80fd\u529b\uff0c\u5728\u67d0\u4e9b\u65b9\u9762\u5df2\u7ecf\u8d85\u8fc7\u4e86\u4e00\u822c\u4eba\uff0c\u4f8b\u5982\u7f16\u7a0b\u548c\u6570\u5b66\u3002\u6d88\u606f\u79f0\uff0cAnthropic\u5185\u90e8\u5df2\u7ecf\u51e0\u4e4e\u5b9e\u73b0100%\u7684AI\u7f16\u7a0b\uff0cGoogle\u7684Gemini Deep Think\u5728IMO 2025 \u4e2d\u505a\u51fa\u4e866\u9053\u9898\u4e2d\u76845\u9053\uff0c\u8fbe\u5230\u91d1\u724c\u6c34\u51c6\u3002<\/p>\n

\u4f46\u662f\u5728\u89c6\u89c9\u63a8\u7406\u4e0a\uff0c\u5373\u4fbf\u662f\u6c34\u5e73\u9886\u5148\u7684Gemini 3 Pro\uff0c\u4e5f\u5728BabyVision\u8fd9\u4e2a\u6d4b\u8bd5\u57fa\u7840\u89c6\u89c9\u63a8\u7406\u80fd\u529b\u7684Benchmark\u4e0a\u4ec5\u8fbe\u52303\u5c81\u5b69\u7ae5\u7684\u6c34\u5e73\u3002<\/p>\n

\u4e3a\u4ec0\u4e48\u5927\u6a21\u578b\u5728\u7f16\u7a0b\u548c\u6570\u5b66\u4e0a\u5f88\u5f3a\uff0c\u5728\u89c6\u89c9\u63a8\u7406\u4e0a\u5374\u5f88\u5f31\uff1f\u8fd9\u662f\u56e0\u4e3a\u5b83\u7684“\u601d\u8003\u65b9\u5f0f”\u5b58\u5728\u9650\u5236\uff0c\u89c6\u89c9\u8bed\u8a00\u6a21\u578b (VLM) \u9700\u8981\u5148\u5c06\u89c6\u89c9\u8f93\u5165\u8f6c\u5316\u4e3a\u8bed\u8a00\uff0c\u968f\u540e\u518d\u8fdb\u884c\u57fa\u4e8e\u6587\u672c\u7684\u63a8\u7406\uff0c\u4f46\u662f\u8bf8\u591a\u89c6\u89c9\u4efb\u52a1\u6839\u672c\u65e0\u6cd5\u7528\u6587\u5b57\u8fdb\u884c\u7cbe\u786e\u7684\u63cf\u8ff0\uff0c\u8fd9\u4e5f\u5c31\u9020\u6210\u4e86\u6a21\u578b\u7684\u89c6\u89c9\u63a8\u7406\u80fd\u529b\u5dee\u3002<\/p>\n

\u5728Google DeepMind\u5de5\u4f5c14\u5e74\u7684Andrew Dai\uff0c\u8054\u624b\u82f9\u679c<\/a>\u8d44\u6df1\u7684AI\u4e13\u5bb6Yinfei Yang\uff0c\u521b\u7acb\u4e86\u4e00\u5bb6\u53ebElorian AI\u7684\u516c\u53f8\uff0c\u4ed6\u4eec\u7684\u76ee\u6807\u662f\u8ba9\u6a21\u578b\u7684\u89c6\u89c9\u63a8\u7406\u80fd\u529b\u4ece“\u513f\u7ae5\u7ea7\u522b”\u63d0\u5347\u5230“\u6210\u5e74\u7ea7\u522b”\uff0c\u5e76\u8ba9\u6a21\u578b\u5177\u6709\u771f\u6b63\u5728“\u89c6\u89c9\u7a7a\u95f4”\u5185\u8fdb\u884c\u539f\u751f\u601d\u8003\u7684\u80fd\u529b\uff0c\u4ece\u800c\u51b2\u51fb\u7269\u7406\u4e16\u754c\u7684AGI\u3002<\/p>\n

Elorian AI\u83b7\u5f97Striker Venture Partners, Menlo Ventures\u4ee5\u53caAltimeter\u7b49\u8054\u5408\u9886\u6295\u76845500\u4e07\u7f8e\u5143\u65e9\u671f\u878d\u8d44<\/a>\uff0c49 Palms\u53ca\u5305\u62ecJeff Dean\u5728\u5185\u7684\u9876\u5c16AI\u79d1\u5b66\u5bb6\u53c2\u6295\u3002<\/p>\n

\u591a\u6a21\u6001\u6a21\u578b\u7684\u5148\u9a71\uff0c\u60f3\u8ba9\u89c6\u89c9\u6a21\u578b\u62e5\u6709\u63a8\u7406\u80fd\u529b<\/h2>\n

\u4f5c\u4e3a\u534e\u4eba\u7684Andrew Dai\uff0c\u5251\u6865\u8ba1\u7b97\u673a\u672c\u79d1\u3001\u7231\u4e01\u5821\u673a\u5668\u5b66\u4e60<\/a>\u535a\u58eb\uff0c\u4ed6\u535a\u58eb\u671f\u95f4\u5c31\u5728\u8c37\u6b4c\u5b9e\u4e60\uff0c2012\u5e74\u52a0\u5165\u8c37\u6b4c\uff0c\u4e00\u76f4\u5f85\u4e8614\u5e74\uff0c\u76f4\u5230\u521b\u4e1a<\/a>\u3002<\/p>\n

\"\u7528\u201c\u89c6\u89c9\u63a8\u7406\u201d\u63a2\u7d22\u7269\u7406\u4e16\u754cAGI\uff0cElorianAI\u878d\u8d445500\u4e07\u7f8e\u5143\"
\u56fe\u7247\u6765\u6e90\uff1a<\/span>Andrew Dai\u7684linkedin<\/span><\/p>\n

\u52a0\u5165\u8c37\u6b4c\u4e0d\u4e45\u540e\uff0c\u4ed6\u5c31\u548cQuoc V. Le\u5171\u540c\u64b0\u5199\u4e86\u7b2c\u4e00\u7bc7\u5173\u4e8e\u8bed\u8a00\u6a21\u578b\u9884\u8bad\u7ec3\u548c\u76d1\u7763\u5fae\u8c03\u7684\u8bba\u6587\u300aSemi-supervised Sequence Learning\u300b\u3002\u8fd9\u7bc7\u8bba\u6587\u4e3aGPT\u7684\u8bde\u751f\u5960\u5b9a\u57fa\u7840\u3002\u4ed6\u7684\u53e6\u4e00\u7bc7\u5960\u57fa\u6027\u8d28\u8bba\u6587\u662f\u300aGlam: Efficient scaling of language models with mixture-of-experts\u300b\uff0c\u8fd9\u4e3a\u73b0\u5728\u4e3b\u6d41\u7684MoE\u67b6\u6784\uff0c\u8d9f\u5f00\u4e86\u9053\u8def\u3002<\/p>\n

\"\u7528\u201c\u89c6\u89c9\u63a8\u7406\u201d\u63a2\u7d22\u7269\u7406\u4e16\u754cAGI\uff0cElorianAI\u878d\u8d445500\u4e07\u7f8e\u5143\"\u56fe\u7247\u6765\u6e90\uff1aGoogle<\/span><\/p>\n

\u5728Google\u671f\u95f4\uff0c\u4ed6\u8fd8\u6df1\u5ea6\u53c2\u4e0e\u4e86\u51e0\u4e4e\u6240\u6709\u7684\u5927\u6a21\u578b\u8bad\u7ec3\uff0c\u4ecePlam\u5230Gemini1.5\u548cGemini2.5\u3002\u5728Jeff Dean\u7684\u5b89\u6392\u4e0b\uff0c\u4ed6\u57282023\u5e74\u5f00\u59cb\u8d1f\u8d23\u9886\u5bfcGemini\u7684\u6570\u636e\u677f\u5757\uff08\u5305\u62ec\u5408\u6210\u6570\u636e\uff09\uff0c\u8fd9\u4e2a\u56e2\u961f\u7684\u89c4\u6a21\u4e4b\u540e\u6269\u5c55\u5230\u4e86\u6570\u767e\u4eba\u3002<\/p>\n

\"\u7528\u201c\u89c6\u89c9\u63a8\u7406\u201d\u63a2\u7d22\u7269\u7406\u4e16\u754cAGI\uff0cElorianAI\u878d\u8d445500\u4e07\u7f8e\u5143\"\u56fe\u7247\u6765\u6e90\uff1a<\/span>Yinfei Yang<\/span>\u7684linkedin<\/span><\/p>\n

\u4e0eAndrew Dai\u5171\u540c\u521b\u4e1a\u7684\uff0c\u662fYinfei Yang\uff0c\u4ed6\u66fe\u5728Google Research\u5de5\u4f5c\u8fc7\u56db\u5e74\uff0c\u4e13\u6ce8\u4e8e\u591a\u6a21\u6001\u8868\u793a\u5b66\u4e60\uff0c\u4e4b\u540e\u52a0\u5165\u82f9\u679c\uff0c\u8d1f\u8d23\u591a\u6a21\u6001\u6a21\u578b\u7684\u7814\u53d1\u5de5\u4f5c\u3002<\/p>\n

\"\u7528\u201c\u89c6\u89c9\u63a8\u7406\u201d\u63a2\u7d22\u7269\u7406\u4e16\u754cAGI\uff0cElorianAI\u878d\u8d445500\u4e07\u7f8e\u5143\"\u56fe\u7247\u6765\u6e90\uff1a<\/span>arxiv<\/span><\/p>\n

\u4ed6\u7684\u4ee3\u8868\u6027\u7814\u7a76\u6210\u679c\u300aScaling up visual and vision-language representation learning with noisy text supervision\u300b\u63a8\u52a8\u4e86\u591a\u6a21\u6001\u8868\u793a\u5b66\u4e60\u7684\u53d1\u5c55\u3002<\/p>\n

Elorian AI\u7684\u8054\u5408\u521b\u59cb\u4eba\u8fd8\u5305\u62ecSeth Neel\uff0c\u4ed6\u66fe\u7ecf\u662f\u54c8\u4f5b\u5927\u5b66\u7684AP\uff08\u52a9\u7406\u6559\u6388\uff09\uff0c\u4e5f\u662f\u6570\u636e\u548cAI\u9886\u57df\u7684\u4e13\u5bb6\u3002<\/p>\n

\u4e3a\u4ec0\u4e48\u8981\u8ba8\u8bbaElorian AI\u7684\u8054\u5408\u521b\u59cb\u4eba\u4eec\u5199\u4e86\u54ea\u4e9b\u5f00\u521b\u6027\u8bba\u6587\uff1f\u56e0\u4e3a\u4ed6\u4eec\u8981\u505a\u7684\u4e8b\u60c5\u4e0d\u662f\u5de5\u7a0b\u5c42\u9762\u7684\u4f18\u5316\uff0c\u800c\u662f\u4ece\u5e95\u5c42\u67b6\u6784\u4e0a\u8fdb\u884c\u8303\u5f0f\u66f4\u65b0\uff0c\u8981\u8ba9AI\u4ece\u57fa\u4e8e\u6587\u672c\u7684\u667a\u80fd\u7406\u89e3\u5347\u7ea7\u5230\u57fa\u4e8e\u89c6\u89c9\u7684\u667a\u80fd\u7406\u89e3\u3002<\/p>\n

\u73b0\u5728AI\u6a21\u578b\u7684\u72b6\u51b5\u662f\uff0c\u5c3d\u7ba1\u5728\u57fa\u4e8e\u6587\u672c\u7684\u4efb\u52a1\u4e0a\u8868\u73b0\u4f18\u79c0\uff0c\u4f46\u5373\u4f7f\u662f\u6700\u9876\u5c16\u7684\u524d\u6cbf\u591a\u6a21\u6001\u5927\u6a21\u578b\uff0c\u4f9d\u7136\u4f1a\u5728\u6700\u57fa\u7840\u7684\u89c6\u89c9\u5bf9\u9f50 (Visual grounding) \u4efb\u52a1\u4e0a\u683d\u8ddf\u5934\u3002<\/p>\n

\u4f8b\u5982\uff0c\u5982\u4f55\u5c06\u67d0\u4e2a\u96f6\u4ef6\u4e25\u4e1d\u5408\u7f1d\u5730\u88c5\u5165\u67d0\u5957\u673a\u68b0\u88c5\u7f6e\uff0c\u4f7f\u5176\u8fd0\u8f6c\u5f97\u66f4\u7cbe\u51c6\u3001\u66f4\u9ad8\u6548\uff1f\u8fd9\u7c7b\u7a7a\u95f4\u7269\u7406\u4efb\u52a1\u5bf9\u4e8e\u5c0f\u5b66\u751f\u6765\u8bf4\u90fd\u5f88\u7b80\u5355\uff0c\u4f46\u662f\u5bf9\u4e8e\u73b0\u6709\u7684\u591a\u6a21\u6001\u5927\u6a21\u578b\u5374\u5f88\u96be\u3002<\/p>\n

\u8fd9\u4ecd\u7136\u8981\u4ece\u751f\u7269\u5b66\u4e2d\u53bb\u627e\u7ebf\u7d22\uff0c\u5728\u4eba\u7c7b\u5927\u8111\u4e2d\uff0c\u89c6\u89c9\u662f\u652f\u6491\u8bf8\u591a\u601d\u7ef4\u8fc7\u7a0b\u7684\u5e95\u5c42\u57fa\u8d28\uff0c\u4eba\u7c7b\u5229\u7528\u89c6\u89c9\u548c\u7a7a\u95f4\u63a8\u7406\u7684\u80fd\u529b\uff0c\u8fdc\u6bd4\u7528\u8bed\u8a00\u903b\u8f91\u63a8\u7406\u8981\u4e45\u8fdc\u5f97\u591a\u3002<\/p>\n

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\u518d\u6bd4\u5982\uff0c\u5373\u4fbf\u662f\u4e00\u53ea\u9e1f\uff0c\u867d\u7136\u4e0d\u4f1a\u8bed\u8a00\uff0c\u4f46\u80fd\u591f\u901a\u8fc7\u89c6\u89c9\uff0c\u8fa8\u8ba4\u548c\u63a8\u7406\u5730\u7406\u7279\u5f81\uff0c\u4ece\u800c\u5b9e\u73b0\u5168\u7403\u8fdc\u7a0b\u8fc1\u5f99\u3002\u8fd9\u662f\u4e00\u4e2a\u5f3a\u70c8\u7684\u4fe1\u53f7\uff0c\u8868\u660e\u8981\u771f\u6b63\u63a8\u8fdb\u673a\u5668\u7684\u63a8\u7406\u80fd\u529b\uff0c\u89c6\u89c9\u5927\u6982\u7387\u5c31\u662f\u6b63\u786e\u7684\u6f14\u8fdb\u65b9\u5411\u3002<\/p>\n

\u90a3\u4e48\uff0c\u60f3\u8c61\u4e00\u4e0b\uff0c\u5982\u679c\u4ece\u6a21\u578b\u6784\u5efa\u7684\u7834\u5c40\u4e4b\u521d\uff0c\u5c31\u5c1d\u8bd5\u5c06\u8fd9\u79cd\u751f\u7269\u5b66\u4e0a\u7684\u89c6\u89c9\u672c\u80fd\u523b\u5165AI\u7684\u57fa\u56e0\uff0c\u6784\u5efa\u4e00\u4e2a\u80fd\u591f“\u540c\u65f6\u7406\u89e3\u548c\u5904\u7406\u6587\u672c\u3001\u56fe\u50cf\u3001\u89c6\u9891\u548c\u97f3\u9891”\u7684\u539f\u751f\u591a\u6a21\u6001\u6a21\u578b\uff0c\u5c31\u80fd\u8ba9\u6a21\u578b\u5177\u6709\u89c6\u89c9\u7406\u89e3\u80fd\u529b\u3002Andrew Dai\u548c\u56e2\u961f\u8981\u6784\u5efa\u4e00\u4e2a\u5929\u751f\u7684“\u901a\u611f\u8005”\uff0c\u6559\u4f1a\u673a\u5668\u4e0d\u4ec5“\u770b\u89c1”\u4e16\u754c\uff0c\u8fd8\u8981“\u770b\u61c2”\u4e16\u754c\u3002<\/p>\n

\u5728Andrew Dai\u548c\u56e2\u961f\u770b\u6765\uff0c\u6df1\u523b\u8ba4\u77e5\u771f\u5b9e\u7684“\u7269\u7406\u4e16\u754c”\u662f\u5b9e\u73b0\u4e0b\u4e00\u4ee3\u673a\u5668\u667a\u80fd\u8dc3\u5347\u3001\u5e76\u6700\u7ec8\u89e6\u8fbe“\u89c6\u89c9\u901a\u7528\u4eba\u5de5\u667a\u80fd<\/a> (Visual AGI)”\u7684\u5173\u952e\u5bc6\u5319\u3002<\/p>\n

\u63a8\u7406\u540e\u7f6e\u7684VLM\u4e0d\u662f\u901a\u5411\u89c6\u89c9\u63a8\u7406\u7684\u6b63\u786e\u8def\u5f84<\/h3>\n

\u4ee5\u5f80\u4e0d\u662f\u6ca1\u6709\u56e2\u961f\u60f3\u8981\u505a\u8fd9\u4ef6\u4e8b\uff0c\u5176\u5b9eAndrew Dai\u4e4b\u524d\u5728\u5f97Gemini\u56e2\u961f\uff0c\u5df2\u7ecf\u662f\u5168\u7403\u8303\u56f4\u5185\u591a\u6a21\u6001\u9886\u57df\u975e\u5e38\u9886\u5148\u7684\u56e2\u961f\u3002\u4f46\u662f\u4f20\u7edf\u7684\u591a\u6a21\u6001\u6a21\u578b\uff0c\u4ecd\u7136\u4ee5VLM\uff08\u89c6\u89c9\u8bed\u8a00\u6a21\u578b\uff09\u4e3a\u4e3b\uff0c\u5b83\u7684\u903b\u8f91\u662f\u5efa\u7acb\u5728“\u4e24\u6b65\u8d70”\u7684\u57fa\u7840\u4e4b\u4e0a\uff1a\u9996\u5148\u5c06\u89c6\u89c9\u8f93\u5165\u8f6c\u5316\u4e3a\u8bed\u8a00\uff0c\u968f\u540e\u518d\u8fdb\u884c\u57fa\u4e8e\u6587\u672c\u7684\u63a8\u7406\uff08\u6709\u65f6\u4f1a\u8f85\u52a9\u8c03\u7528\u5916\u90e8\u5de5\u5177\uff09\u3002<\/p>\n

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Andrew Dai\u8868\u793a\uff0c\u4ed6\u4eec\u5f88\u91cd\u89c6\u6570\u636e\u8d28\u91cf\u3001\u6570\u636e\u6df7\u5408\u6bd4\u4f8b\u3001\u6570\u636e\u6765\u6e90\u4ee5\u53ca\u6570\u636e\u7684\u591a\u6837\u6027\uff0c\u5e76\u4e14\u5728\u6570\u636e\u5c42\u8fdb\u884c\u4e86\u9769\u65b0\uff0c\u5728\u89c6\u89c9\u7a7a\u95f4\u4e2d\u91cd\u6784\u63a8\u7406\u7684\u94fe\u8def\uff0c\u8fd8\u5927\u89c4\u6a21\u4e14\u6df1\u5ea6\u5730\u4f7f\u7528\u5408\u6210\u6570\u636e\u3002<\/p>\n

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