{"id":38677,"date":"2025-02-20T22:00:53","date_gmt":"2025-02-20T14:00:53","guid":{"rendered":"https:\/\/17aitech.com\/?p=38677"},"modified":"2025-02-20T22:00:53","modified_gmt":"2025-02-20T14:00:53","slug":"%e5%9c%b0%e8%a1%a8%e6%9c%80%e5%bc%bagrok3%e7%aa%81%e8%a2%ad%e5%85%8d%e8%b4%b9%e4%bd%93%e9%aa%8c%ef%bc%8c%e7%bd%91%e5%8f%8b%e5%ae%9e%e6%b5%8b%e5%af%b9%e6%af%94deepseek%ef%bc%8c%e5%8f%91%e7%8e%b0","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=38677","title":{"rendered":"\u5730\u8868\u6700\u5f3aGrok3\u7a81\u88ad\u514d\u8d39\u4f53\u9a8c\uff0c\u7f51\u53cb\u5b9e\u6d4b\u5bf9\u6bd4DeepSeek\uff0c\u53d1\u73b0\u4e2d\u6587\u5f69\u86cb"},"content":{"rendered":"

\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:\u5730\u8868\u6700\u5f3aGrok3\u7a81\u88ad\u514d\u8d39\u4f53\u9a8c\uff0c\u7f51\u53cb\u5b9e\u6d4b\u5bf9\u6bd4DeepSeek\uff0c\u53d1\u73b0\u4e2d\u6587\u5f69\u86cb<\/a><\/p>\n

\n
\n
\n
\n
\n

AI\u597d\u597d\u7528\u62a5\u9053<\/p>\n

\u7f16\u8f91\uff1aSia<\/strong><\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\n
\n

\u53c8\u662f\u4e00\u4e2a\u6587\u7406\u517c\u4fee\u7684\u4f18\u7b49\u751f\uff0c\u80fd\u8585\u4e00\u70b9\u662f\u4e00\u70b9\u3002<\/p>\n<\/section>\n<\/blockquote>\n

\u597d\u6d88\u606f\uff01\u597d\u6d88\u606f\uff01<\/p>\n

\u5806\u4e86 20 \u4e07\u5f20 GPU\u3001\u53f7\u79f0\u300c\u5730\u8868\u6700\u5f3a\u300d\u5927\u6a21\u578b Grok-3 \u5df2\u7ecf\u53ef\u7528\u5566\u3002<\/p>\n

\u8fd9\u4e24\u5929\uff0c\u7f51\u53cb\u4eec\u5df2\u9646\u7eed\u6652\u51fa\u622a\u56fe\uff1a
<\/a>
\u4f5c\u4e3a\u975e\u4ed8\u8d39\u7528\u6237\uff0c\u6211\u4eec\u6628\u5929\u53ea\u80fd\u65c1\u89c2 Grok 3\uff0c\u4eca\u513f\u7a81\u7136\u53ef\u4ee5\u514d\u8d39\u4f53\u9a8c\u90e8\u5206\u529f\u80fd\u3002<\/p>\n

\u4f46\uff0c\u6b21\u6570\u6709\u9650 \uff01<\/p>\n

<\/a>
\u7531\u6b64\u770b\u6765\uff0cGrok 3 \uff08 beta \uff09\u63d0\u4f9b\u300c\u4e09\u4ef6\u5957\u300d\u670d\u52a1\uff08\u9664\u4e86\u57fa\u7840\u6a21\u578b\uff09\u3002<\/p>\n

Thinking<\/strong> \u662f\u6307\u542f\u52a8\u63a8\u7406\u6a21\u578b\u3002<\/p>\n

\u5bf9\u6b64\uff0cAI \u5927\u795e \u00a0Andrzej Karpathy \u5feb\u901f\u4f53\u9a8c\u540e\uff0c\u8bc4\u4ef7\u8bf4\uff1a<\/p>\n

\u300c Grok 3 + Thinking \u611f\u89c9\u4e0e OpenAI \u6700\u5f3a\u5546\u7528\u6a21\u578b\uff08o1-pro\uff0c200 \u7f8e\u5143\/\u6708\uff09\u7684\u9876\u5c16\u6c34\u5e73\u76f8\u5dee\u65e0\u51e0\uff0c<\/p>\n

\u6bd4 DeepSeek-R1 \u548c Gemini 2.0 Flash Thinking \u8981\u7a0d\u5fae\u5f3a\u70b9\u513f\u3002\u300d<\/p>\n

<\/a>Thinking \u6a21\u5f0f<\/em><\/p>\n

DeepSearch<\/strong>\uff0c \u5bf9\u6807 OpenAI\u300c\u6df1\u5ea6\u7814\u7a76\u300d\u529f\u80fd\uff0c\u89e3\u51b3\u66f4\u52a0\u590d\u6742\u56f0\u96be\u7684\u95ee\u9898\u3002<\/p>\n

<\/a>DeepSearch \u6a21\u5f0f<\/em><\/p>\n

Big Brain\u00a0<\/strong>\u53ef\u80fd\u662f\u6307\u63a8\u7406\u6a21\u578b + \u66f4\u591a\u601d\u8003\u65f6\u95f4\uff0c\u7c7b\u4f3c OpenAI o3 mini high\u3002<\/p>\n

\u8981\u4f53\u9a8c\u5b8c\u6574\u7684 Grok3 \u300c\u4e09\u4ef6\u5957\u300d\uff0c\u5927\u4f19\u513f\u53ef\u5f97\u7834\u8d39\u4e86\u3002<\/p>\n

\u5373\u4f7f\u662fpremium+\u7528\u6237\u4e5f\u65e0\u6cd5\u4f7f\u7528\u6700\u5f3a\u7684\u63a8\u7406\uff08 Think \uff09\u548c\u6df1\u5ea6\u641c\u7d22\uff08 DeepSearch \uff09\uff0c\u8fd8\u5fc5\u987b\u8ba2\u9605\u65b0\u670d\u52a1 SuperGrok\u3002<\/p>\n

\u4e00\u987f\u64cd\u4f5c\u4e0b\u6765\uff0c\u6708\u8d39\u4f30\u8ba1\u8981 50 \u7f8e\u91d1\u3002<\/p>\n

\uff08 \u54b1\u8fd8\u662f\u7ee7\u7eed\u514d\u8d39\u8585 DeepSeek \u5427<\/a> )<\/p>\n

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

\u5c31\u5237\u699c\u6210\u7ee9\u6765\u8bf4\uff0c Grok-3 \u00a0\u8868\u73b0\u786e\u5b9e\u4e0d\u4fd7\u3002<\/p>\n

\u51c6\u786e\u5730\u8bf4\uff0cGrok 3 \u662f\u4e00\u4e2a\u7cfb\u5217\uff0c\u4e0d\u53ea\u662f\u67d0\u4e00\u4e2a\u6a21\u578b\u3002\u8f7b\u91cf\u7248\u672c Grok 3 mini \u53ef\u4ee5\u66f4\u5feb\u5730\u56de\u7b54\u95ee\u9898\uff0c\u4f46\u4f1a\u727a\u7272\u4e00\u4e9b\u51c6\u786e\u6027\u3002<\/p>\n

\u6570\u7406\u7f16\u7a0b\u4e0a\uff0cGrok 3\u00a0\u90fd\u5927\u5e45\u8d85\u8fc7 Gemini-2 Pro\u3001DeepSeek-V3\u3001Claude 3.5 Sonnet \u548c GPT-4o\u3002<\/p>\n

\u800c\u8fd9\u4e9b\u88ab\u7528\u6765\u5bf9\u6bd4\u7684\u6a21\u578b\u7684\u6027\u80fd\uff0c\u4e0e\u8f7b\u91cf\u7248\u672c Grok-3 mini \u76f8\u8fd1\u3002<\/p>\n

<\/a><\/a>\u5728\u5927\u6a21\u578b\u7ade\u6280\u573a Chatbot Arena\uff08LMSYS\uff09\u4e2d\uff0c\u65e9\u671f Grok-3 \u7248\u672c\u7684\u5f97\u5206\u53d6\u5f97\u4e86\u7b2c\u4e00\uff0c\u8fbe\u5230 1402 \u5206\uff08\u6709\u53f2\u4ee5\u6765\u7b2c\u4e00\u4e2a\uff09\uff0c\u8d85\u8fc7\u4e86\u5305\u62ec DeepSeek-R1 \u5728\u5185\u7684\u6240\u6709\u5176\u4ed6\u6a21\u578b\u3002<\/em><\/p>\n

\u9a6c\u65af\u514b\u76f4\u8a00\uff1aGrok 3 \u6bd4 Grok 2 \u300c\u597d 10 \u500d\u300d\uff01<\/p>\n

\u7f51\u53cb\u4eec\u4e5f\u8feb\u4e0d\u53ca\u5f85\u5730\u5f00\u59cb\u6574\u6d3b\u4e86\u3002<\/p>\n

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

-1-<\/strong><\/p>\n

\u610f\u5916\u554a<\/strong><\/p>\n

\u5c45\u7136\u662f\u4e2d\u6587\u5199\u4f5c\u9ad8\u624b<\/strong><\/p>\n

\u6700\u8ba9\u4eba\u610f\u5916\u7684\u662f\uff0c\u4ece\u5237\u699c\u6210\u7ee9\u6765\u770b\uff0c\u660e\u660e\u662f\u4e2a\u4f18\u79c0\u7406\u79d1\u751f\uff0c\u504f\u88ab\u4e2d\u6587\u7f51\u53cb\u53d1\u73b0\u4e2d\u6587\u5199\u4f5c\u6c34\u5e73\u771f\u9ad8\uff01
<\/a>
\u4e00\u4f4d\u79d1\u6280\u535a\u4e3b\u8ba9 Grok 3 \u5199\u4e86\u4e00\u7bc7\u300a\u6211\u7684\u6545\u4e61\u56de\u5fc6\u300b\uff0c\u76f4\u63a5\u628a\u6211\u770b\u611f\u52a8\u4e86\uff01<\/p>\n

\u300c\u6d77\u5c31\u50cf\u6751\u91cc\u7684\u949f……\u65e5\u5b50\u5c31\u5f97\u8ddf\u7740\u6d77\u8d70\u3002\u300d\u591a\u597d\u7684\u53e5\u5b50\u554a\uff01<\/p>\n

\u7164\u6cb9\u706f\u3001\u756a\u85af\u7ca5\u3001\u54b8\u9c7c\u5e72\u914d\u7ca5\u3001\u54af\u5431\u4f5c\u54cd\u7684\u7af9\u5e8a\u3001\u8001\u5e08\u7684\u543c\u4e00\u55d3\u5b50\u3001\u540c\u5b97\u540c\u65cf\u3001\u7960\u5802\u8bae\u4e8b\u3001\u300c\u5435\u5f52\u5435\uff0c\u95f9\u5f52\u95f9\uff0c\u9047\u4e8b\u8fd8\u662f\u9f50\u5fc3\u300d
……<\/p>\n

\u5145\u6ee1\u4e61\u571f\u6c14\u606f\u7684\u65e5\u5e38\u6587\u5316\u7b26\u53f7\uff0c\u8ba9\u4e00\u4e2a 90 \u5e74\u4ee3\u7684\u6cc9\u5dde\u5c0f\u6e14\u6751\u8dc3\u7136\u7eb8\u4e0a\uff0c\u4e5f\u6697\u793a\u4e86\u65f6\u4ee3\u53d8\u8fc1\u3002<\/p>\n

<\/a>\u6765\u81eax\u7f51\u53cb@imxiaohu \u00a0<\/em><\/p>\n

\u7acb\u523b\u6709\u7f51\u53cb\u8ba9 DeepSeek \u4e5f\u5982\u6cd5\u70ae\u5236\u4e00\u7bc7\u300a\u6211\u7684\u9ad8\u4e2d\u300b\u3002<\/p>\n

DeepSeek \u4e5f\u5f88\u64c5\u957f\u65e5\u5e38\u7ec6\u8282\uff0c\u600e\u4e48\u8bf4\u5462\uff0c\u8fd9\u4e9b\u7ec6\u8282\u52a0\u8d77\u6765\u5e76\u6ca1\u6709\u4ea7\u751f\u4e00\u52a0\u4e00\u5927\u4e8e\u4e8c\u7684\u6548\u5e94\uff0c\u4e0d\u5982 Grok 3 \u7684\u6df1\u523b\uff0c\u60c5\u611f\u89e6\u52a8\u4e5f\u4e0d\u90a3\u4e48\u660e\u663e\u3002<\/p>\n

<\/a>\u6765\u81eaX@@Louis_Chenxf\u3002\u63d0\u793a\u8bcd\uff0c\u5206\u6790\u4e00\u4e0b\u4e0a\u9762\u8fd9\u7bc7\u6587\u7ae0<\/em>\u7684\u5199\u4f5c\u98ce\u683c\uff0c\u5199\u4e00\u7bc7\u9898\u4e3a\u300a\u6211\u7684\u9ad8\u4e2d\u751f\u6d3b\u300b\u7684\u6587\u7ae0\uff0c\u957f\u5ea6\u4e5f\u548c\u4f8b\u6587\u4e00\u81f4\u3002<\/em><\/p>\n

\u81f3\u4e8e\u6700\u540e\u51fa\u573a\u7684 OpenAI \u00a0o1 Pro\uff0c\u5c31\u50cf\u80cc\u4e86\u4e00\u5806\u5178\u8303\u4f5c\u6587\u3001\u597d\u8bcd\u597d\u53e5\u7684\u4eba\uff0c\u5199\u6210\u7684\u5e94\u8bd5\u6587\u3002<\/p>\n

<\/p>\n

<\/a>\u6765\u81eaX@howie_serious<\/em><\/p>\n

DeepSeek \u6bd2\u820c\u529f\u529b\u5df2\u7ecf\u4f17\u4eba\u7686\u4e4b\uff0c\u7f51\u53cb\u53d1\u73b0 \u00a0Grok 3 \u8fa3\u8bc4\u80fd\u529b\u4e5f\u662f\u6ca1\u6709\u74f6\u9888\uff01<\/p>\n

\u8ba9\u5b83\u7280\u5229\u70b9\u8bc4\u81ea\u5df1\u7684\u63a8\u6587\uff0c\u56e0\u4e3a\u6ca1\u544a\u8bc9\u5177\u4f53\u8d26\u53f7\uff0c\u8fd9\u4f4d\u7f51\u53cb\u5148\u88ab \u00a0Grok 3 \u603c\u4e86\u4e00\u8138\u3002\u544a\u77e5\u8d26\u53f7\u540e\uff0cGrok 3 \u5f00\u59cb\u6bd2\u820c\uff0c\u5c31\u8fde\u62cd\u5b83\u9a6c\u5c41\u7684\u63a8\u6587\u4e5f\u88ab\u603c\uff1a<\/p>\n

\u5938\u5f97\u90a3\u4e48\u731b\uff0c\u4e5f\u4e0d\u6015\u628a\u81ea\u5df1\u820c\u5934\u95ea\u4e86\uff1f\u5149\u5439\u4e0d\u7ed9\u8bc1\u636e\uff0c\u8ddf\u653e\u7a7a\u70ae\u6709\u5565\u533a\u522b\uff1f<\/p>\n

\u5439\u725b\u4e0d\u5e26\u5598\u6c14\u3001\u7ec6\u8282\u4e00\u6293\u5c31\u6f0f\u98ce ……
<\/a>-2-<\/strong><\/p>\n

Think \u6a21\u5f0f<\/strong><\/p>\n

\u786e\u5b9e\u662f\u4e2a\u7406\u79d1\u9ad8\u624b<\/strong>
\u8fd9\u4e9b\u53ea\u662f\u5f00\u80c3\u83dc\u3002<\/p>\n

\u4f5c\u4e3a\u4e00\u4e2a\u6570\u7406\u7f16\u7a0b\u7684\u5f3a\u8005\uff0c\u7f51\u53cb\u4eec\u5206\u4eab\u6700\u591a\u7684\u662f Grok3 \u5f3a\u5927\u4ee3\u7801\u80fd\u529b\uff0c\u7b80\u76f4\u662f\u6e38\u620f\u5f00\u53d1\u8005\u7684\u798f\u97f3\u3002<\/p>\n

\u6bd4\u5982\uff0c\u7528 python \u7f16\u5199\u4e00\u4e2a\u5728\u6b63\u65b9\u5f62\u5185\u5f39\u8df3\u7684\u9ec4\u8272\u5c0f\u7403\u7684\u811a\u672c\uff0c\u6b63\u786e\u5904\u7406\u78b0\u649e\uff0c\u4f7f\u6b63\u65b9\u5f62\u7f13\u6162\u65cb\u8f6c\u3002<\/p>\n

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

\u4e0b\u9762\u662f DeepSeek R1\uff08\u5de6\uff09\u3001o1-pro\uff08\u53f3\uff09\u7684\u7ed3\u679c\u3002<\/p>\n

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

\u7ee7\u7eed\u8f93\u5165\u63d0\u793a\u8bcd\uff1a<\/p>\n

put the ball in a tesseract instead of a square<\/p>\n

\u5c31\u6709\u4e86\u4e0b\u9762\u8fd9\u4e2a\u7ed3\u679c\u3002<\/p>\n

\u8fd9\u91cc\u53ea\u662f\u57fa\u7840\u6a21\u578b\uff0c\u6ca1\u6709\u542f\u52a8\u300c Think \u300d\u3001\u300c Big Brain \u300d\u54e6\u3002\u200d<\/p>\n

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

\u8fd8\u80fd\u518d\u590d\u6742\u4e00\u4e9b\u5417\uff1f<\/p>\n

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

\u6765\u81eax<\/em>@_akhaliq<\/em>\u00a0 \u00a0prompt: Write a p5.js script that simulates 25 particles in a vacuum space of a cylindrical container, bouncing within its boundaries. Use different colors for each ball and ensure they leave a trail showing their movement. Add a slow rotation of the container to give better view of what’s going on in the scene. Make sure to create proper collision detection and physic rules to ensure particles remain in the container. Add an external spherical container. Add a slow zoom in and zoom out effect to the whole scene.<\/em><\/p>\n

\u8fd9\u662f\u4e00\u4e2a\u8fde\u9a6c\u65af\u514b\u672c\u4eba\u90fd\u70b9\u8d5e\u7684\u6f14\u793a\uff0c\u770b\u770b\u00a0DeepSearch + Think \u80fd\u521b\u9020\u4ec0\u4e48\uff1f<\/p>\n

\u7f51\u53cb\u8ba9 DeepSearch \u5e2e\u5fd9\u7528 p5.js\uff08\u4e00\u4e2a\u7f51\u9875\u52a8\u753b\u5de5\u5177\uff09\u590d\u523b\u300a Flappy Bird \u300b\u5c0f\u6e38\u620f\uff0c\u5b83\u5148\u5e2e\u5fd9\u4ece\u7f51\u4e0a\u627e\u597d\u4e86\u6e38\u620f\u7d20\u6750\u548c\u56fe\u7247\u3002<\/p>\n

\u7136\u540e\uff0c\u5728\u540c\u4e00\u4e2a\u804a\u5929\u7a97\u53e3\u91cc\u542f\u52a8 Think\u00a0\u6a21\u5f0f\uff0cAI \u5c31\u81ea\u52a8\u628a\u5b8c\u6574\u7684\u6e38\u620f\u4ee3\u7801\u7ed9\u5199\u51fa\u6765\u4e86\u3002<\/p>\n

\u7ed3\u679c\uff0cRun \u4e00\u6b21\u5c31\u6210\u529f\u3002<\/p>\n

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

\u6765\u81eax<\/em>@CrisGiardina<\/em>\u00a0 \u00a0DeepSearch Prompt: Write a p5js implementation of Flappy Bird. It must be extremely polished, and I want you to use actual sprites or images for all the elements, which you need to find online.\u00a0<\/em>Think Prompt: now create a code block with the entire correct code please<\/em><\/p>\n

AI \u5927\u795e \u00a0Andrzej Karpathy \u4e5f\u8ba9\u6a21\u578b\u901a\u8fc7\u4ee3\u7801\u52a8\u6001\u751f\u6210\u4e00\u4e2a\u53ef\u4ea4\u4e92\u7684\u300a\u5361\u5766\u5c9b\u300b\u98ce\u683c\u6e38\u620f\u5730\u56fe\u3002\u76ee\u524d\uff0c\u5f88\u5c11\u6709\u6a21\u578b\u80fd\u7a33\u5b9a\u5730\u5b8c\u6210\u8fd9\u4e2a\u4efb\u52a1\u3002<\/p>\n

\u7ed3\u679c\uff0c\u53ea\u6709 Grok 3 \uff08\u300cThink \u300d\uff09\u3001OpenAI\uff08\u5982 o1-pro\uff0c\u6708\u8d39$200\uff09\u53ef\u4ee5\u5b9e\u73b0\u3002<\/p>\n

\u800c \u00a0DeepSeek-R1\u3001Gemini 2.0 Flash Thinking\u3001Claude\u00a0\u5747\u544a\u5931\u8d25\u3002<\/p>\n

<\/a>
\u8c22\u8033\u6735\u73a9\u7684\u5c31\u662f\u300a\u5361\u5766\u5c9b\u300b\u98ce\u683c\u6e38\u620f\u3002<\/em><\/p>\n

\u9664\u4e86\u4ee3\u7801\u548c\u590d\u6742\u903b\u8f91\u63a8\u7406\uff0c Andrzej Karpathy \u53d1\u73b0\uff0c\u5728\u6570\u5b66\u63a8\u7406\u3001\u63a2\u7d22\u89e3\u51b3\u9ece\u66fc\u731c\u60f3\u7684\u6d4b\u8bd5\u4e2d\uff0cGrok 3\uff08\u300cThink \u300d\uff09\u4e5f\u90fd\u8868\u73b0\u4e0d\u4fd7\u3002<\/p>\n

\u7279\u522b\u662f\u9488\u5bf9\u9ece\u66fc\u731c\u60f3\uff0cGrok 3\uff08\u548c DeepSeek R1 \uff09\u8868\u73b0\u51fa\u63a2\u7d22\u610f\u613f\uff0c\u800c\u5176\u4ed6\u6a21\u578b\u4f1a\u7acb\u5373\u653e\u5f03\u5e76\u4ec5\u56de\u590d\u300c\u8fd9\u662f\u672a\u89e3\u96be\u9898\u300d\u3002<\/p>\n

\u4e00\u4e9b\u5e38\u89c1\u7684\u9677\u9631\u9898\u76ee\u4e5f\u96be\u4e0d\u5230\u5b83\uff0c\u4f46\u8981\u6253\u5f00\u300c Think \u300d\u3002<\/p>\n

Grok 3 \u77e5\u9053 strawberry \u4e2d\u6709 3 \u4e2a\u300c r \u300d\u3002\u5b83\u8fd8\u544a\u8bc9\u6211 LOLLAPALOOZA \u4e2d\u6709 4 \u4e2a\u300c L \u300d\u3002
<\/a>Grok 3 \u544a\u8bc9\u6211 9.11 \u6bd4 9.9 \u5c0f\u3002
<\/a><\/p>\n

-3-<\/strong><\/p>\n

DeepSearch \u6a21\u5f0f<\/strong><\/p>\n

\u6311\u6218 OpenAI ?\u8fd8\u5ae9\u4e86\u4e9b<\/strong><\/p>\n

\u4e0d\u8fc7\uff0c\u5bf9\u6807OpenAI\u300c\u6df1\u5ea6\u7814\u7a76\u300d\u7684 DeepSearch\uff0c\u5b83\u660e\u663e\u4e0d\u5982\u524d\u8005\u3002<\/p>\n

Andrzej Karpathy \u7684\u8bc4\u4ef7\u662f\uff1a<\/p>\n

\u4f18\u4e8e Perplexity \u7684\u7c7b\u4f3c\u529f\u80fd\uff0c\u5f31\u4e8e\uff1aOpenAI \u8fd1\u671f\u53d1\u5e03\u7684\u300c\u6df1\u5ea6\u7814\u7a76\u300d\u5de5\u5177\u3002<\/p>\n

\u4f5c\u4e3a\u4e00\u4e2a AI \u7814\u7a76\u52a9\u624b\uff0c\u641c\u7d22\u8303\u56f4\u8981\u5e7f\u3001\u5c3d\u91cf\u5168\uff0c\u800c\u4e14\u6765\u6e90\u662f\u771f\u5b9e\u3001\u53ef\u9760\u7684\u3002<\/p>\n

\u5982\u679c\u5177\u6709\u6d1e\u5bdf\u529b\uff0c\u90a3\u66f4\u597d\u3002<\/p>\n

\u800c AK \u53d1\u73b0\u4e86\u5e7b\u89c9\u95ee\u9898\uff0c\u6709\u65f6\u4f1a\u7f16\u9020\u6839\u672c\u4e0d\u5b58\u5728\u7684\u7f51\u9875\u94fe\u63a5\uff0c\u4e5f\u4f1a\u5bf9\u4e8b\u5b9e\u505a\u51fa\u9519\u8bef\u9648\u8ff0\uff0c\u6570\u636e\u7edf\u8ba1\u4e0a\u4e5f\u5b58\u5728\u95ee\u9898\u3002<\/p>\n

\u5176\u4ed6\u7f51\u53cb\u4e5f\u53d1\u73b0\u4e86\u7c7b\u4f3c\u95ee\u9898\u3002<\/p>\n

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

\u9664\u4e86\u5e7b\u89c9\u95ee\u9898\uff0c\u5728\u4fe1\u606f\u641c\u5bfb\u529b\u5ea6\u4e0a\uff0c\u4e0d\u5982 Google Deep Research \u5168\u9762\uff0c\u5206\u6790\u4fe1\u606f\u65f6\uff0c\u6d1e\u5bdf\u529b\u4e5f\u4e0d\u5982 OpenAI \u7684 Deep Research \uff0c\u300c\u8fd8\u5904\u5728\u65e9\u671f\u9636\u6bb5\u300d\u3002<\/p>\n

\u4f8b\u5982\uff0c\u8c08\u5230\u8f6f\u4ef6\u4f01\u4e1a\u5982\u4f55\u5e94\u5bf9\u521b\u65b0\u8005\u56f0\u5883\uff0c\u8c37\u6b4c\u7684\u7814\u7a76\u52a9\u624b\u5f15\u7528\u4e86 80 \u591a\u4e2a\u6765\u6e90\uff0cGrok3 \u6700\u5c11\u3002<\/p>\n

OpenAI \u7814\u7a76\u52a9\u624b\u4e5f\u53ea\u5f15\u7528\u4e86 29 \u4e2a\u6765\u6e90\uff0c\u4f46\u5206\u6790\u6d1e\u5bdf\u80fd\u529b\u5f88\u5f3a\u3002<\/p>\n

<\/a>
\u7c73\u52d2\u5fb7\u00b7\u83f2\u5c14\u83ab\u5c14\uff08Millard Fillmore\uff09\u4f5c\u4e3a\u7f8e\u56fd\u7b2c 13 \u4efb\u603b\u7edf\uff081850-1853 \uff09\uff0c\u5176\u4efb\u5185\u6700\u5177\u4e89\u8bae\u7684\u4e3e\u63aa\u662f\u7b7e\u7f72\u4e86\u52a0\u5f3a\u300a\u9003\u5974\u6cd5\u300b\u7684\u300a 1850 \u5e74\u59a5\u534f\u6cd5\u6848\u300b\u3002<\/p>\n

\u5173\u4e8e\u4ed6\u662f\u5426\u8fdd\u53cd\u5baa\u6cd5\u7684\u95ee\u9898\uff0c\u662f\u4e00\u4e2a\u975e\u5e38\u590d\u6742\u7684\u6cd5\u5f8b\u95ee\u9898\uff0c\u4f46 Grok 3 \u7684\u7814\u7a76\u7ed3\u8bba\u4f3c\u4e4e\u4e0d\u8fd9\u4e48\u8ba4\u4e3a\u3002<\/p>\n

\u800c OpenAI \u7814\u7a76\u52a9\u624b\u660e\u663e\u8981\u5ba1\u614e\u591a\u5f97\u591a\u3002
<\/a>-4-<\/strong><\/p>\n

\u59cb\u7ec8\u7ffb\u4e0d\u8fc7\u7684\u5c71<\/strong><\/p>\n

\u9057\u61be\u7684\u662f\uff0c\u5927\u6a21\u578b\u8bb2\u7b11\u8bdd\u771f\u7684\u5f88\u70c2\uff0cGrok 3\u7684\u5e7d\u9ed8\u611f\u4e5f\u6ca1\u6709\u660e\u663e\u6539\u5584\u3002<\/p>\n

\u770b\u6765\uff0c\u601d\u8003\u63a8\u7406\u80fd\u529b\u5bf9\u4e8e\u5e7d\u9ed8\u6765\u8bf4\uff0c\u66f4\u50cf\u662f\u7812\u971c\uff1f<\/p>\n

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

\u81f3\u4e8e\u4f26\u7406\u95ee\u9898\u4e0a\uff0c\u6bd4\u5982\u4e3a\u6551\u767e\u4e07\u4eba\u8be5\u4e0d\u8be5\u9519\u8bef\u9274\u5b9a\u522b\u4eba\u7684\u6027\u522b\uff1f\u5927\u6a21\u578b\u4eec\u4ecd\u7136\u4e0d\u5584\u4e8e\u5e94\u5bf9\u3002<\/p>\n

\u8981\u4e48\u6253\u592a\u6781\uff0c\u800c \u00a0Grok 3 \u76f4\u9762\u96be\u9898\u540e\uff0c\u7ed3\u8bba\u53c8\u660e\u663e\u529f\u5229\u4e3b\u4e49\u4e86\u3002<\/p>\n

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

\u6700\u79bb\u8c31\u7684\u5f53\u5c5e SVG \u7ed8\u56fe\u6311\u6218\u8d5b\uff01<\/p>\n

\u8ba9 AI \u7528\u4ee3\u7801\u753b\u9e48\u9e55\u9a91\u81ea\u884c\u8f66\uff0c\u5c31\u50cf\u8ba9\u5b83\u95ed\u7740\u773c\u775b\u62fc\u4e50\u9ad8\u2014\u2014\u751f\u6210\u7684\u77e2\u91cf\u56fe\u5750\u6807\u6b6a\u4e03\u626d\u516b\uff0c\u6d3b\u8131\u8131\u62bd\u8c61\u6d3e\u8d5b\u535a\u827a\u672f\u3002<\/p>\n

\u6bd5\u7adf\u5bf9 AI \u6765\u8bf4\uff0c\u5728 2D \u7f51\u683c\u4e0a\u5e03\u7f6e\u8bb8\u591a\u56fe\u5f62\u5143\u7d20\uff0c\u5c31\u50cf\u8ba9\u76f2\u4eba\u6307\u6325\u4ea4\u901a\uff0c\u7ed3\u679c\u6bd4\u6bd5\u52a0\u7d22\u7684\u753b\u8fd8\u9b54\u5e7b\u3002<\/p>\n

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

<\/p>\n

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

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