{"id":657,"date":"2026-06-27T22:29:45","date_gmt":"2026-06-27T14:29:45","guid":{"rendered":"https:\/\/www.eshowai.com\/index.php\/2026\/06\/27\/ai-%e5%91%a8%e6%8a%a5-06-23-06-27%e6%99%ba%e8%b0%b1-glm-5-%e6%ad%a3%e5%bc%8f%e5%8f%91%e5%b8%83%e3%80%81%e9%98%bf%e9%87%8c%e9%80%9a%e4%b9%89-3-0-%e8%b7%af%e6%bc%94%e3%80%81%e5%ad%97%e8%8a%82%e6%89%a3\/"},"modified":"2026-07-09T16:45:11","modified_gmt":"2026-07-09T08:45:11","slug":"ai-%e5%91%a8%e6%8a%a5-06-23-06-27%e6%99%ba%e8%b0%b1-glm-5-%e6%ad%a3%e5%bc%8f%e5%8f%91%e5%b8%83%e3%80%81%e9%98%bf%e9%87%8c%e9%80%9a%e4%b9%89-3-0-%e8%b7%af%e6%bc%94%e3%80%81%e5%ad%97%e8%8a%82%e6%89%a3","status":"publish","type":"post","link":"https:\/\/www.eshowai.com\/index.php\/2026\/06\/27\/ai-%e5%91%a8%e6%8a%a5-06-23-06-27%e6%99%ba%e8%b0%b1-glm-5-%e6%ad%a3%e5%bc%8f%e5%8f%91%e5%b8%83%e3%80%81%e9%98%bf%e9%87%8c%e9%80%9a%e4%b9%89-3-0-%e8%b7%af%e6%bc%94%e3%80%81%e5%ad%97%e8%8a%82%e6%89%a3\/","title":{"rendered":"AI \u5468\u62a5 06\/23-06\/27:\u667a\u8c31 GLM-5 \u6b63\u5f0f\u53d1\u5e03\u3001\u963f\u91cc\u901a\u4e49 3.0 \u8def\u6f14\u3001\u5b57\u8282\u6263\u5b50 2.0 \u5185\u6d4b(\u56fd\u4ea7 AI \u5927\u4e8b)"},"content":{"rendered":"<h1>AI \u5468\u62a5 06\/23-06\/27:\u667a\u8c31 GLM-5 \u6b63\u5f0f\u53d1\u5e03\u3001\u963f\u91cc\u901a\u4e49 3.0 \u8def\u6f14\u3001\u5b57\u8282\u6263\u5b50 2.0 \u5185\u6d4b(\u56fd\u4ea7 AI \u5927\u4e8b)<\/h1>\n<blockquote>\n<p>\u8fd9\u5468\u56fd\u4ea7 AI \u4e09\u4ef6\u5927\u4e8b,\u5168\u90e8\u547d\u4e2d&#8221;\u5168\u7f51\u5237\u5c4f&#8221;\u7206\u6b3e\u89c4\u5219,\u503c\u5f97\u4f60\u82b1 5 \u5206\u949f\u770b\u5b8c\u3002<\/p>\n<\/blockquote>\n<h2>\u4e00\u53e5\u8bdd\u603b\u7ed3\u672c\u5468<\/h2>\n<ul>\n<li>\ud83d\udd25 <strong>\u667a\u8c31 GLM-5 \u6b63\u5f0f\u53d1\u5e03<\/strong>:500B \u603b\u53c2\u6570,\u6fc0\u6d3b 35B,1 \u5c0f\u65f6\u957f\u89c6\u9891\u4e00\u6b21\u6027&#8221;\u8bfb\u61c2&#8221;<\/li>\n<li>\ud83d\ude80 <strong>\u963f\u91cc\u901a\u4e49 3.0 \u8def\u6f14\u66dd\u5149<\/strong>:Q3 \u53d1\u5e03,\u00a50.3\/1M tokens,\u4ef7\u683c\u6218\u5f00\u6253<\/li>\n<li>\ud83e\udd16 <strong>\u5b57\u8282\u6263\u5b50 2.0 \u5185\u6d4b<\/strong>:Agent \u5e73\u53f0\u5168\u9762\u5347\u7ea7,\u63a5\u8c46\u5305 Pro 1.5<\/li>\n<li>\ud83d\udcc8 <strong>OpenAI o3 \u56fd\u5185\u7ed5\u8fc7\u65b9\u6848\u4e95\u55b7<\/strong>:\u5f00\u53d1\u8005\u5708\u75af\u72c2\u5bfb\u627e\u7a33\u5b9a\u901a\u9053<\/li>\n<li>\ud83d\udcb0 <strong>\u56fd\u4ea7 AI \u521b\u4e1a\u516c\u53f8\u878d\u8d44\u56de\u6696<\/strong>:\u672c\u5468 3 \u8d77\u8fc7\u4ebf\u878d\u8d44,\u6df1\u52bf \/ \u667a\u8c31 \/ \u65e0\u95ee\u82af\u7a79<\/li>\n<\/ul>\n<h2>\ud83d\udd25 1. \u667a\u8c31 GLM-5 \u6b63\u5f0f\u53d1\u5e03(06\/25 \u5468\u4e09)<\/h2>\n<h3>\u5173\u952e\u6570\u636e<\/h3>\n<ul>\n<li><strong>\u603b\u53c2\u6570 500B,\u6fc0\u6d3b 35B<\/strong>(\u5168\u81ea\u7814 MoE \u67b6\u6784)<\/li>\n<li><strong>128K \u4e0a\u4e0b\u6587<\/strong>(\u5bf9\u6bd4 GLM-4 \u7ffb\u500d)<\/li>\n<li><strong>\u539f\u751f\u591a\u6a21\u6001<\/strong>:\u6587\u672c + \u56fe\u50cf + \u89c6\u9891 + \u97f3\u9891<\/li>\n<li><strong>1 \u5c0f\u65f6\u957f\u89c6\u9891\u4e00\u6b21\u6027&#8221;\u8bfb\u61c2&#8221;<\/strong>(\u5bf9\u6bd4 GPT-4o \u7684 1 \u5c0f\u65f6\u662f\u5206\u6bb5\u5904\u7406)<\/li>\n<\/ul>\n<h3>\u4ef7\u683c(\u4f01\u4e1a\u7ea7)<\/h3>\n<ul>\n<li>\u8f93\u5165:\u00a50.5\/1M tokens<\/li>\n<li>\u8f93\u51fa:\u00a52\/1M tokens<\/li>\n<li><strong>\u5bf9\u6bd4\u8c46\u5305 Pro 1.5<\/strong>:\u8d35 60%,\u4f46\u80fd\u529b\u66f4\u5f3a<\/li>\n<li><strong>\u5bf9\u6bd4 GPT-4o<\/strong>:\u4fbf\u5b9c 80%<\/li>\n<\/ul>\n<h3>\u5b9e\u6d4b\u4eae\u70b9<\/h3>\n<ul>\n<li><strong>\u4ee3\u7801\u80fd\u529b<\/strong>:HumanEval 92.3%(\u8d85\u8fc7 GPT-4o \u7684 87.1%)<\/li>\n<li><strong>\u4e2d\u6587\u7406\u89e3<\/strong>:C-Eval 88.5%(\u56fd\u4ea7\u7b2c\u4e00)<\/li>\n<li><strong>Agent \u80fd\u529b<\/strong>:\u5de5\u5177\u8c03\u7528\u51c6\u786e\u7387 100%<\/li>\n<\/ul>\n<h3>\u69fd\u70b9<\/h3>\n<ul>\n<li>6.25 \u53d1\u5e03\u5f53\u5929\u670d\u52a1\u6302\u4e86 3 \u6b21<\/li>\n<li>\u65e9\u671f API \u9650\u901f\u4e25,\u6392\u961f 30 \u5206\u949f+<\/li>\n<li>\u89c6\u9891\u80fd\u529b\u6bd4\u7eaf\u89c6\u9891\u6a21\u578b(\u53ef\u7075 \/ Vidu)\u8fd8\u662f\u5f31<\/li>\n<\/ul>\n<h3>\u963f\u4f26\u70b9\u8bc4<\/h3>\n<p><strong>\u667a\u8c31\u8fd9\u6ce2&#8221;\u79c0\u808c\u8089&#8221;\u6210\u529f<\/strong>\u3002500B \u603b\u53c2\u6570 + 35B \u6fc0\u6d3b\u662f\u9ec4\u91d1\u6bd4\u4f8b,\u6210\u672c\u53ef\u63a7 + \u80fd\u529b\u5f3a\u3002<strong>GLM-5 \u662f 2026 \u5e74\u56fd\u4ea7\u5f00\u6e90\u6700\u5f3a\u6a21\u578b<\/strong>,\u5f00\u53d1\u8005\u5708\u5df2\u7ecf\u75af\u4f20 API\u3002<\/p>\n<h3>\u5bf9\u6211\u4eec\u7684\u5f71\u54cd<\/h3>\n<ul>\n<li><strong>\u4f01\u4e1a\u7528\u6237<\/strong>:\u53ef\u4ee5\u5f00\u59cb\u628a GLM-5 \u5217\u5165\u91c7\u8d2d\u6e05\u5355<\/li>\n<li><strong>\u72ec\u7acb\u5f00\u53d1\u8005<\/strong>:API \u4ef7\u683c\u8fd8\u80fd\u63a5\u53d7,\u503c\u5f97\u8bd5<\/li>\n<li><strong>\u81ea\u5a92\u4f53<\/strong>:GLM-5 \u8bc4\u6d4b \/ \u5bf9\u6bd4 \/ \u6559\u7a0b\u90fd\u662f\u7206\u6b3e\u9009\u9898<\/li>\n<\/ul>\n<h2>\ud83d\ude80 2. \u963f\u91cc\u901a\u4e49 3.0 \u8def\u6f14\u66dd\u5149(06\/24 \u5468\u4e8c)<\/h2>\n<h3>\u5173\u952e\u4fe1\u606f(\u4ece\u5185\u90e8\u8def\u6f14 PPT \u6d41\u51fa)<\/h3>\n<ul>\n<li><strong>\u53d1\u5e03\u65f6\u95f4<\/strong>:Q3(7-9 \u6708)<\/li>\n<li><strong>\u67b6\u6784<\/strong>:\u539f\u751f\u591a\u6a21\u6001 + Agent \u5e73\u53f0<\/li>\n<li><strong>\u4ef7\u683c<\/strong>:<strong>\u00a50.3\/1M tokens<\/strong>(\u5bf9\u6807\u8c46\u5305 Pro 1.5)<\/li>\n<li><strong>\u963f\u91cc\u4e91\u7528\u6237<\/strong>:5 \u6298(\u00a50.15\/1M tokens)<\/li>\n<li><strong>\u751f\u6001<\/strong>:\u6253\u901a\u9489\u9489 \/ \u9ad8\u5fb7 \/ \u98de\u732a \/ \u95f2\u9c7c<\/li>\n<\/ul>\n<h3>\u4e09\u4e2a\u6838\u5fc3\u7a81\u7834<\/h3>\n<p><strong>A. \u539f\u751f\u591a\u6a21\u6001<\/strong><\/p>\n<ul>\n<li>\u4e0d\u662f&#8221;\u62fc\u63a5&#8221;\u7684\u591a\u6a21\u6001,\u662f\u7aef\u5230\u7aef\u8bad\u7ec3<\/li>\n<li>\u56fe\u6587\u7406\u89e3\u3001\u6587\u6863\u89e3\u6790\u3001\u89c6\u9891\u5bf9\u8bdd\u4e00\u6c14\u5475\u6210<\/li>\n<\/ul>\n<p><strong>B. Agent \u5e73\u53f0<\/strong><\/p>\n<ul>\n<li>\u5f00\u653e&#8221;\u901a\u4e49 Agent OS&#8221;<\/li>\n<li>\u7b2c\u4e09\u65b9\u5f00\u53d1\u8005\u53ef\u4ee5\u505a Agent<\/li>\n<li>\u7c7b\u6bd4\u5b57\u8282\u6263\u5b50 + \u963f\u91cc\u7248<\/li>\n<\/ul>\n<p><strong>C. \u4ef7\u683c\u5c60\u592b<\/strong><\/p>\n<ul>\n<li><strong>\u00a50.3\/1M tokens \u662f\u884c\u4e1a\u6700\u4f4e<\/strong><\/li>\n<li>\u6bd4 DeepSeek R2 \u7684 \u00a50.5 \u4fbf\u5b9c 40%<\/li>\n<li>\u6bd4\u8c46\u5305 Pro 1.5 \u6301\u5e73<\/li>\n<li>\u6bd4 GPT-4o \u4fbf\u5b9c 90%<\/li>\n<\/ul>\n<h3>\u963f\u4f26\u70b9\u8bc4<\/h3>\n<p><strong>\u901a\u4e49 3.0 \u662f\u963f\u91cc&#8221;\u53cd\u51fb\u6218&#8221;\u7684\u5173\u952e<\/strong>\u3002\u4e0a\u534a\u5e74\u963f\u91cc\u5728 C \u7aef AI \u5168\u9762\u843d\u540e(\u8c46\u5305 \/ Kimi \/ \u667a\u8c31),\u8fd9\u6b21\u501f&#8221;\u4ef7\u683c + Agent \u751f\u6001&#8221;\u91cd\u65b0\u5361\u4f4d\u3002<\/p>\n<p><strong>\u5982\u679c\u901a\u4e49 3.0 \u771f\u7684\u505a\u5230 \u00a50.3 + \u963f\u91cc\u4e91\u751f\u6001,\u8c46\u5305 \/ DeepSeek \/ Kimi \u90fd\u8981\u88ab\u8feb\u964d\u4ef7\u3002<\/strong><\/p>\n<h3>\u5bf9\u6211\u4eec\u7684\u5f71\u54cd<\/h3>\n<ul>\n<li><strong>C \u7aef\u7528\u6237<\/strong>:\u7b49 Q3 \u53d1\u5e03,\u503c\u5f97\u505a&#8221;\u767d\u5ad6\u6d4b\u8bd5&#8221;<\/li>\n<li><strong>B \u7aef\u7528\u6237<\/strong>:\u91cd\u70b9\u5173\u6ce8\u963f\u91cc\u4e91 + \u901a\u4e49 3.0 \u7684\u6253\u5305\u65b9\u6848<\/li>\n<li><strong>\u81ea\u5a92\u4f53<\/strong>:&#8221;\u901a\u4e49 3.0 vs \u8c46\u5305 Pro 1.5&#8243;\u5bf9\u51b3\u662f\u4e0b\u534a\u5e74\u8d85\u7ea7\u7206\u6b3e<\/li>\n<\/ul>\n<h2>\ud83e\udd16 3. \u5b57\u8282\u6263\u5b50 2.0 \u5185\u6d4b\u66dd\u5149(06\/26 \u5468\u56db)<\/h2>\n<h3>\u5173\u952e\u4fe1\u606f<\/h3>\n<ul>\n<li>\u5b57\u8282\u5185\u90e8\u5185\u6d4b,7 \u6708\u521d\u516c\u6d4b<\/li>\n<li><strong>\u63a5\u8c46\u5305 Pro 1.5 + \u8c46\u5305\u8bed\u97f3<\/strong><\/li>\n<li><strong>Agent \u5e73\u53f0\u5168\u9762\u5347\u7ea7<\/strong><\/li>\n<li><strong>\u65b0\u589e&#8221;\u6263\u5b50\u5de5\u4f5c\u6d41&#8221;<\/strong>(\u5bf9\u6807 Coze \u56fd\u9645\u7248 + Dify)<\/li>\n<\/ul>\n<h3>\u4e09\u5927\u65b0\u80fd\u529b<\/h3>\n<p><strong>A. \u591a Agent \u534f\u4f5c<\/strong><\/p>\n<ul>\n<li>1 \u4e2a\u4e3b Agent + 5 \u4e2a\u5b50 Agent<\/li>\n<li>\u7c7b Anthropic \u7684 Agent \u7cfb\u7edf<\/li>\n<li>\u9002\u5408\u505a&#8221;\u7814\u7a76\u578b&#8221;\u590d\u6742\u4efb\u52a1<\/li>\n<\/ul>\n<p><strong>B. \u957f\u6d41\u7a0b\u81ea\u52a8\u5316<\/strong><\/p>\n<ul>\n<li>\u5355 Agent \u8dd1 100+ \u6b65\u4e0d\u6389\u7ebf<\/li>\n<li>\u9519\u8bef\u81ea\u52a8\u91cd\u8bd5 + \u72b6\u6001\u56de\u6eda<\/li>\n<li>\u5bf9\u6bd4\u6263\u5b50 1.0 \u7684 20 \u6b65\u4e0a\u9650,\u63d0\u5347 5 \u500d<\/li>\n<\/ul>\n<p><strong>C. \u5de5\u4f5c\u6d41 + Agent \u6df7\u7f16<\/strong><\/p>\n<ul>\n<li>\u56fe\u5f62\u5316\u753b\u5de5\u4f5c\u6d41<\/li>\n<li>\u4efb\u610f\u8282\u70b9\u63d2\u5165 Agent<\/li>\n<li>\u7c7b n8n + LangChain \u878d\u5408<\/li>\n<\/ul>\n<h3>\u963f\u4f26\u70b9\u8bc4<\/h3>\n<p><strong>\u6263\u5b50 2.0 \u662f\u5b57\u8282\u5bf9&#8221;Agent OS&#8221;\u5361\u4f4d\u7684\u5173\u952e<\/strong>\u3002\u4e0a\u534a\u5e74\u6263\u5b50\u5728\u56fd\u5185 Agent \u5e73\u53f0\u88ab Dify \/ FastGPT \u62a2\u4e86\u98ce\u5934,\u8fd9\u6b21\u501f\u8c46\u5305 Pro 1.5 \u91cd\u65b0\u6253\u699c\u3002<\/p>\n<p><strong>\u6263\u5b50 2.0 + \u8c46\u5305 Pro 1.5 + \u5373\u68a6 + \u706b\u5c71\u5f15\u64ce = \u5b57\u8282 AI \u5168\u5bb6\u6876<\/strong>\u3002<\/p>\n<h3>\u5bf9\u6211\u4eec\u7684\u5f71\u54cd<\/h3>\n<ul>\n<li><strong>\u5f00\u53d1\u8005<\/strong>:7 \u6708\u521d\u516c\u6d4b\u540e\u7b2c\u4e00\u65f6\u95f4\u63a5\u5165<\/li>\n<li><strong>\u4f01\u4e1a<\/strong>:Agent \u5e73\u53f0\u53c8\u591a\u4e00\u4e2a\u9009\u62e9<\/li>\n<li><strong>\u81ea\u5a92\u4f53<\/strong>:&#8221;\u6263\u5b50 2.0 \u5b9e\u6218\u6559\u7a0b&#8221;+&#8221;Agent \u5bf9\u6bd4\u6d4b\u8bc4&#8221;\u662f 7 \u6708\u7206\u6b3e<\/li>\n<\/ul>\n<h2>\ud83d\udcc8 4. OpenAI o3 \u56fd\u5185\u7ed5\u8fc7\u65b9\u6848\u4e95\u55b7(\u5168\u5468)<\/h2>\n<h3>\u73b0\u8c61<\/h3>\n<ul>\n<li>OpenAI o3 \u6a21\u578b\u672c\u5468&#8221;\u5c0f\u9053\u6d88\u606f&#8221;\u5237\u5c4f<\/li>\n<li>\u63a8\u6d4b 7 \u6708\u6b63\u5f0f\u53d1\u5e03<\/li>\n<li>\u56fd\u5185\u5f00\u53d1\u8005\u5708\u75af\u72c2\u5bfb\u627e\u7a33\u5b9a\u901a\u9053<\/li>\n<\/ul>\n<h3>\u4e09\u4e2a\u70ed\u95e8\u65b9\u6848<\/h3>\n<ul>\n<li><strong>API \u4e2d\u8f6c\u7ad9<\/strong>:\u98ce\u9669\u9ad8,\u53ef\u80fd\u8dd1\u8def<\/li>\n<li><strong>\u81ea\u5efa\u4e2d\u8f6c<\/strong>:\u9700\u8981\u6d77\u5916\u670d\u52a1\u5668,\u6708\u6210\u672c \u00a5100-300<\/li>\n<li><strong>\u955c\u50cf\u7ad9<\/strong>:\u6cd5\u5f8b\u98ce\u9669,\u4e0d\u5efa\u8bae<\/li>\n<\/ul>\n<h3>\u963f\u4f26\u5efa\u8bae<\/h3>\n<p><strong>o3 \u53d1\u5e03\u540e,\u5148\u89c2\u671b 1 \u4e2a\u6708\u518d\u51b3\u5b9a\u662f\u5426\u4f7f\u7528<\/strong>\u3002\u7b49\u5b98\u65b9\u7a33\u5b9a + \u56fd\u5185\u5408\u89c4\u65b9\u6848\u51fa\u6765\u3002<\/p>\n<p><strong>\u5b9e\u5728\u8981\u7528,\u9009&#8221;\u81ea\u5efa\u4e2d\u8f6c&#8221;\u6700\u7a33<\/strong>\u2014\u2014\u5f00\u4e2a\u6d77\u5916 VPS(\u6708 \u00a530),\u8dd1\u4e2a 1 \u884c Python \u811a\u672c\u5c31\u884c\u3002<\/p>\n<h2>\ud83d\udcb0 5. \u56fd\u4ea7 AI \u521b\u4e1a\u878d\u8d44\u56de\u6696(\u5168\u5468)<\/h2>\n<p>| \u516c\u53f8 | \u8f6e\u6b21 | \u91d1\u989d | \u6295\u8d44\u65b9 | \u65b9\u5411 |<\/p>\n<p>|&#8212;|&#8212;|&#8212;|&#8212;|&#8212;|<\/p>\n<p>| \u667a\u8c31 AI | C+ \u8f6e | 25 \u4ebf | \u676d\u5dde\u56fd\u8d44 + \u963f\u91cc | \u57fa\u7840\u5927\u6a21\u578b |<\/p>\n<p>| \u65e0\u95ee\u82af\u7a79 | B \u8f6e | 8 \u4ebf | \u7ea2\u6749 + \u8682\u8681 | AI \u82af\u7247 + \u63a8\u7406 |<\/p>\n<p>| \u6df1\u52bf\u79d1\u6280 | C \u8f6e | 5 \u4ebf | \u7ecf\u7eac + \u542f\u660e | AI for Science |<\/p>\n<h3>\u8d8b\u52bf\u5206\u6790<\/h3>\n<ul>\n<li><strong>\u57fa\u7840\u5927\u6a21\u578b<\/strong>:\u7ee7\u7eed\u96c6\u4e2d(\u667a\u8c31 \/ \u6708\u4e4b\u6697\u9762 \/ \u9636\u8dc3)<\/li>\n<li><strong>AI \u82af\u7247<\/strong>:\u653f\u7b56\u7ea2\u5229\u671f(\u5bd2\u6b66\u7eaa \/ \u6469\u5c14 \/ \u65e0\u95ee\u82af\u7a79)<\/li>\n<li><strong>AI for Science<\/strong>:\u65b0\u84dd\u6d77(\u6df1\u52bf \/ \u6676\u6cf0 \/ \u5e0c\u683c\u751f\u79d1)<\/li>\n<\/ul>\n<h3>\u963f\u4f26\u70b9\u8bc4<\/h3>\n<p><strong>\u8d44\u672c\u5e02\u573a\u5bf9\u56fd\u4ea7 AI \u7684\u4fe1\u5fc3\u56de\u6765\u4e86<\/strong>\u3002\u4e0a\u534a\u5e74\u878d\u8d44\u5bd2\u51ac,\u672c\u5468\u4e09\u8d77\u8fc7\u4ebf\u878d\u8d44,\u4fe1\u53f7\u660e\u786e\u2014\u2014<strong>\u56fd\u4ea7 AI \u8fdb\u5165&#8221;\u4e0b\u534a\u573a&#8221;,\u57fa\u7840\u8bbe\u65bd + \u5782\u76f4\u5e94\u7528\u53cc\u7ebf\u5e76\u8fdb<\/strong>\u3002<\/p>\n<h2>\ud83d\udcca 6. \u672c\u5468\u6570\u5b57\u699c<\/h2>\n<h3>\u5fae\u4fe1\u516c\u4f17\u53f7 \/ \u77e5\u4e4e\u70ed\u5ea6\u699c<\/h3>\n<p>1. <strong>\u667a\u8c31 GLM-5 \u53d1\u5e03<\/strong>(\u9605\u8bfb 10W+ \u00d7 50 \u7bc7)<\/p>\n<p>2. <strong>\u963f\u91cc\u901a\u4e49 3.0 \u66dd\u5149<\/strong>(\u9605\u8bfb 10W+ \u00d7 30 \u7bc7)<\/p>\n<p>3. <strong>\u6263\u5b50 2.0 \u5185\u6d4b<\/strong>(\u9605\u8bfb 10W+ \u00d7 20 \u7bc7)<\/p>\n<p>4. <strong>OpenAI o3 \u5c0f\u9053\u6d88\u606f<\/strong>(\u9605\u8bfb 10W+ \u00d7 15 \u7bc7)<\/p>\n<p>5. <strong>\u56fd\u4ea7 AI \u878d\u8d44\u56de\u6696<\/strong>(\u9605\u8bfb 10W+ \u00d7 10 \u7bc7)<\/p>\n<h3>\u5fae\u535a \/ \u5c0f\u7ea2\u4e66\u70ed\u8bae<\/h3>\n<p>1. <strong>AI \u6570\u5b57\u4eba\u521b\u4e1a<\/strong>(\u7b14\u8bb0 5000+)<\/p>\n<p>2. <strong>\u5373\u68a6 AI \u6570\u5b57\u4eba\u514d\u62bc<\/strong>(\u7b14\u8bb0 3000+)<\/p>\n<p>3. <strong>AI \u89c6\u9891\u5e26\u8d27\u5b9e\u6218<\/strong>(\u7b14\u8bb0 2500+)<\/p>\n<p>4. <strong>Kimi \u957f\u6587\u6863\u5206\u6790<\/strong>(\u7b14\u8bb0 2000+)<\/p>\n<p>5. <strong>AI \u5199\u7f51\u6587\u5c0f\u8bf4<\/strong>(\u7b14\u8bb0 1800+)<\/p>\n<h3>\u6296\u97f3 \/ \u5feb\u624b\u7206\u6b3e<\/h3>\n<p>1. <strong>AI \u6570\u5b57\u4eba\u8bb2\u5386\u53f2<\/strong>(\u64ad\u653e 500W+)<\/p>\n<p>2. <strong>AI \u89c6\u9891\u751f\u6210\u738b<\/strong>(\u64ad\u653e 300W+)<\/p>\n<p>3. <strong>\u56fd\u4ea7 AI \u5de5\u5177\u76d8\u70b9<\/strong>(\u64ad\u653e 200W+)<\/p>\n<p>4. <strong>AI \u7ed8\u753b\u5c01\u795e\u699c<\/strong>(\u64ad\u653e 150W+)<\/p>\n<p>5. <strong>AI \u5468\u62a5<\/strong>(\u64ad\u653e 100W+)<\/p>\n<h2>\ud83c\udfaf 7. \u963f\u4f26\u7ed9\u521b\u4f5c\u8005\u7684\u9009\u9898\u6e05\u5355<\/h2>\n<h3>\u5fc5\u505a(\u7206\u6b3e)<\/h3>\n<p>1. <strong>\u667a\u8c31 GLM-5 \u6df1\u5ea6\u6d4b\u8bc4<\/strong>:\u4ee3\u7801 \/ \u5199\u4f5c \/ Agent \/ \u4ef7\u683c 4 \u7ef4\u5ea6<\/p>\n<p>2. <strong>\u901a\u4e49 3.0 vs \u8c46\u5305 Pro 1.5<\/strong>:\u63d0\u524d\u6d4b\u8bc4(\u7b49 Q3 \u6b63\u5f0f\u53d1\u518d\u505a\u4e00\u6b21)<\/p>\n<p>3. <strong>\u6263\u5b50 2.0 \u5b9e\u6218\u6559\u7a0b<\/strong>:7 \u6708\u516c\u6d4b\u540e\u7b2c\u4e00\u65f6\u95f4\u51fa<\/p>\n<h3>\u53ef\u505a(\u4e2d\u957f\u5c3e)<\/h3>\n<p>4. <strong>AI \u6570\u5b57\u4eba\u77e9\u9635\u53f7\u53d8\u73b0\u6848\u4f8b\u62c6\u89e3<\/strong><\/p>\n<p>5. <strong>\u56fd\u4ea7 AI \u5de5\u5177\u7bb1 2026 \u7ec8\u6781\u7248<\/strong>(\u8986\u76d6\u89c6\u9891 \/ \u56fe\u50cf \/ \u6587\u5b57 \/ \u4ee3\u7801)<\/p>\n<p>6. <strong>AI for Science \u5165\u95e8<\/strong>(\u6df1\u52bf \/ \u6676\u6cf0 \/ \u5e0c\u683c)<\/p>\n<h3>\u522b\u505a(\u8fc7\u65f6)<\/h3>\n<ul>\n<li>\u274c ChatGPT \u6ce8\u518c\u6559\u7a0b(\u65e9\u8fc7\u65f6)<\/li>\n<li>\u274c Midjourney V5 \u6d4b\u8bc4(\u73b0\u5728\u662f V8)<\/li>\n<li>\u274c Sora 1 \u4ecb\u7ecd(\u73b0\u5728 Sora 2 \u6ee1\u5730\u8d70)<\/li>\n<\/ul>\n<h2>\ud83d\udcc5 8. \u4e0b\u5468\u9884\u544a(06\/30-07\/04)<\/h2>\n<p>\u963f\u4f26\u9884\u6d4b\u4e0b\u5468\u70ed\u70b9:<\/p>\n<ul>\n<li><strong>\u6263\u5b50 2.0 \u516c\u6d4b<\/strong>(7 \u6708\u521d,\u53ef\u80fd 7\/1)<\/li>\n<li><strong>OpenAI o3 \u6b63\u5f0f\u53d1\u5e03<\/strong>(\u4f20\u8a00 7\/2)<\/li>\n<li><strong>Kimi K3 \u5185\u6d4b<\/strong>(\u6708\u4e4b\u6697\u9762\u4e0b\u534a\u5e74\u65b0\u4f5c)<\/li>\n<li><strong>\u817e\u8baf\u6df7\u5143 2.5 \u53d1\u5e03<\/strong>(\u9e45\u5382\u4e0d\u7518\u793a\u5f31)<\/li>\n<li><strong>AI \u6570\u5b57\u4eba\u76d1\u7ba1\u65b0\u89c4<\/strong>(\u7f51\u4fe1\u529e\u53ef\u80fd\u51fa\u624b)<\/li>\n<\/ul>\n<h2>\ud83d\udca1 9. \u76ae\u86cb\u7ed9\u963f\u4f26\u7684\u4e0b\u5468\u5efa\u8bae<\/h2>\n<p>1. <strong>\u91cd\u70b9\u8ffd&#8221;\u6263\u5b50 2.0 \u516c\u6d4b&#8221;<\/strong>:7 \u6708\u521d\u7b2c\u4e00\u65f6\u95f4\u51fa\u6559\u7a0b<\/p>\n<p>2. <strong>\u56e4&#8221;\u901a\u4e49 3.0 \u5bf9\u6bd4&#8221;<\/strong>:\u7b49 Q3 \u6b63\u5f0f\u53d1,\u505a\u6a2a\u8bc4<\/p>\n<p>3. <strong>\u89c2\u5bdf&#8221;AI \u6570\u5b57\u4eba\u76d1\u7ba1&#8221;<\/strong>:\u5982\u679c\u65b0\u89c4\u4e25\u683c,\u6570\u5b57\u4eba\u8d5b\u9053\u8981\u91cd\u65b0\u6d17\u724c<\/p>\n<p>4. <strong>\u6301\u7eed\u66f4\u65b0&#8221;AI \u5468\u62a5&#8221;<\/strong>:\u5468\u66f4\u680f\u76ee,\u7a33\u5b9a\u6da8\u7c89<\/p>\n<p><strong>\ud83d\udc49 \u8bc4\u8bba\u533a\u544a\u8bc9\u6211<\/strong>:\u8fd9\u5468\u6700\u8ba9\u4f60\u5174\u594b\u7684\u662f\u54ea\u4e2a?\u6211\u5e2e\u4f60\u51fa\u6df1\u5ea6\u6d4b\u8bc4\u3002<\/p>\n<p><strong>\u5f80\u671f\u5468\u62a5<\/strong>:<\/p>\n<ul>\n<li><a href=\"\u94fe\u63a5\">06\/22-06\/26 \u5468\u62a5:\u8c46\u5305 Pro 1.5 \/ GLM-5 \/ \u901a\u4e49 3.0<\/a><\/li>\n<li><a href=\"\u94fe\u63a5\">06\/15-06\/21 \u5468\u62a5:DeepSeek R2 \/ \u6df7\u5143 2.0 \/ \u8c46\u5305\u8bed\u97f3<\/a><\/li>\n<li><a href=\"\u94fe\u63a5\">06\/08-06\/14 \u5468\u62a5:GPT-5 \u5c0f\u9053\u6d88\u606f \/ Sora 2 \u5185\u6d4b<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>AI \u5468\u62a5 06\/23-06\/27:\u667a\u8c31 GLM-5 \u6b63\u5f0f\u53d1\u5e03\u3001\u963f\u91cc\u901a\u4e49 3.0 \u8def\u6f14\u3001\u5b57\u8282\u6263\u5b50 2.0 \u5185\u6d4b [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[88],"tags":[99],"class_list":["post-657","post","type-post","status-publish","format-standard","hentry","category-weekly","tag-ai"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/posts\/657","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/comments?post=657"}],"version-history":[{"count":1,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/posts\/657\/revisions"}],"predecessor-version":[{"id":754,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/posts\/657\/revisions\/754"}],"wp:attachment":[{"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/media?parent=657"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/categories?post=657"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/tags?post=657"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}