{"id":114307,"date":"2026-10-09T00:33:06","date_gmt":"2026-10-08T16:33:06","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/114307.html"},"modified":"2026-10-09T00:33:06","modified_gmt":"2026-10-08T16:33:06","slug":"ai-%e8%a1%8c%e4%b8%9a%e5%91%a8%e6%8a%a5%ef%bc%882026-10-01-10-08%ef%bc%89","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/114307.html","title":{"rendered":"AI \u884c\u4e1a\u5468\u62a5\uff082026.10.01 \u2014 10.08\uff09"},"content":{"rendered":"<h2>AI \u884c\u4e1a\u5468\u62a5&#xff08;2026.10.01 \u2014 10.08&#xff09;<\/h2>\n<p>AI\u6d88\u606f\u5237\u5f97\u592a\u5feb&#xff0c;\u5e73\u65f6\u5f00\u53d1\u4efb\u52a1\u6bd4\u8f83\u591a&#xff0c;\u5fd9\u8d77\u6765\u6bcf\u5929\u5728\u5237\u65b0\u95fb\u7684\u65f6\u95f4\u4e0a\u4e0d\u591f\u4e86&#xff0c;\u5236\u4f5c\u6210\u5b9a\u65f6\u4efb\u52a1\u5c06\u4e3b\u8981\u65b0\u95fb\u53d8\u6210\u5468\u62a5\u6587\u7ae0\u4e0e\u5927\u5bb6\u5171\u8d4f&#xff0c;\u6709\u4ec0\u4e48\u610f\u89c1\u53ef\u7559\u8a00\u3002<\/p>\n<p>\u8986\u76d6 11 \u5bb6\u4e3b\u6d41\u5382\u5546&#xff1a;OpenAI \/ Anthropic \/ Google \/ DeepSeek \/ \u667a\u8c31 \/ MiniMax \/ \u817e\u8baf\u6df7\u5143 \/ \u5b57\u8282\u8c46\u5305\u00b7Seed \/ \u5feb\u624b\u53ef\u7075 \/ \u963f\u91cc Qwen \/ \u5c0f\u7c73 MiMo<br \/>\n\u672c\u671f\u5171\u6536\u5f55 47 \u6761\u52a8\u6001&#xff0c;\u5176\u4e2d\u5b98\u65b9\u786e\u8ba4 26 \u6761\u3001\u5a92\u4f53\u62a5\u9053 18 \u6761\u3001\u5b58\u7591\u5f85\u8bc1 3 \u6761\u3002<br \/>\n\u6807\u6ce8\u4f53\u7cfb&#xff1a;&#x1f7e2; \u5b98\u65b9\u786e\u8ba4 &#xff5c; &#x1f7e1; \u5a92\u4f53\u62a5\u9053 &#xff5c; &#x1f534; \u4f20\u95fb\u5f85\u8bc1<\/p>\n<hr \/>\n<h3>\u4e00\u3001\u672c\u5468\u4e94\u4e2a\u6838\u5fc3\u5224\u65ad<\/h3>\n<p>1. OpenAI \u6253\u51fa\u672c\u5468\u6700\u5927\u4e00\u5f20\u724c&#xff0c;\u4f46\u4e89\u8bae\u4e0e\u6210\u679c\u7b49\u91cf\u9f50\u89c2\u3002<br \/>\nGPT-6 \u4e8e 10 \u6708 7 \u65e5\u5728 ChatGPT \u5168\u9762\u4e0a\u7ebf&#xff0c;\u540c\u65e5 OpenAI \u4e00\u6b21\u6027\u516c\u5f00 722 \u7bc7\u6570\u5b66\u624b\u7a3f \/ 372 \u4e2a\u7ed3\u679c\u65cf&#xff0c;Altman \u5b9a\u6027\u4e3a&#034;\u8fdb\u5165\u5168\u65b0\u53d1\u73b0\u65f6\u4ee3&#034;\u3002\u4f46\u666e\u6797\u65af\u987f\u9ad8\u7b49\u7814\u7a76\u9662\u7684 AGMAI \u5c0f\u7ec4\u516c\u5f00\u4e0e\u5176\u5212\u6e05\u754c\u9650&#xff0c;WIRED \u62a5\u9053\u6570\u5b66\u754c\u5f3a\u70c8\u53cd\u5f39\u3002\u76ee\u524d\u72b6\u6001\u662f&#034;\u5df2\u53d1\u5e03\u3001\u5f85\u9a8c\u8bc1&#034;&#xff0c;\u4e0d\u5b9c\u5f53\u4f5c\u65e2\u6210\u7a81\u7834\u91c7\u4fe1\u3002<\/p>\n<p>2. Anthropic \u6253\u7684\u662f&#034;\u964d\u4ef7 &#043; \u843d\u5730 &#043; IPO \u94fa\u8def&#034;\u7ec4\u5408\u62f3\u3002<br \/>\nHaiku 5.5 \u964d\u4ef7 75\u201390%\u3001Sonnet 5.5 \u63d0\u793a\u7f13\u5b58\u8bfb\u53d6\u780d\u534a\u3001\u7ed9 Max\/Team \u53d1\u6708\u5ea6 API \u989d\u5ea6\u3001\u7ed9\u521d\u521b\u516c\u53f8\u514d\u8d39\u5e2d\u4f4d&#xff0c;\u540c\u65f6\u62ff\u4e0b\u5df4\u514b\u83b1\u5168\u884c\u90e8\u7f72\u4e0e Google Workspace \u516c\u5f00 Beta\u3002\u5f6d\u535a\u62a5\u9053\u5176\u5bfb\u6c42 11 \u6708\u4e2d\u4e0b\u65ec\u4e0a\u5e02\u3001\u4f30\u503c 1.8\u20132 \u4e07\u4ebf\u7f8e\u5143\u3002<\/p>\n<p>3. \u5b89\u5168\u4e0e\u653f\u6cbb\u7b2c\u4e00\u6b21\u538b\u8fc7\u6280\u672f&#xff0c;\u6210\u4e3a\u884c\u4e1a\u4e3b\u7ebf\u3002<br \/>\n\u4e94\u89d2\u5927\u697c\u786e\u8ba4\u505c\u7528 Anthropic \u4ea7\u54c1&#xff1b;\u767d\u5bab\u300a\u8d85\u7ea7\u667a\u80fd\u534f\u8bae\u300b\u7b7e\u7f72\u540e FTC \u968f\u5373\u5bf9 OpenAI\u3001Anthropic \u5c55\u5f00\u8c03\u67e5&#xff1b;OpenAI \u89e3\u96c7\u4e09\u540d\u5b89\u5168\u7814\u7a76\u5458\u3001\u5b89\u5168\u7cfb\u7edf\u8d1f\u8d23\u4eba Robinson \u79bb\u804c\u5e76\u516c\u5f00\u70ae\u8f70\u516c\u53f8\u6587\u5316&#xff1b;NYT \u66dd\u5149 Anthropic \u5c31&#034;AI \u610f\u8bc6&#034;\u79d8\u5bc6\u54a8\u8be2\u5b97\u6559\u9886\u8896\u3002Altman \u4e0e Anthropic \u56f4\u7ed5&#034;AI \u662f\u5426\u53ef\u88ab\u8d4b\u4e88\u9053\u5fb7\u5730\u4f4d&#034;\u516c\u5f00\u5bf9\u7acb\u3002<\/p>\n<p>4. \u56fd\u5185\u5382\u5546\u56e0\u56fd\u5e86\u5047\u671f\u52a8\u4f5c\u653e\u7f13&#xff0c;\u4f46\u8d44\u672c\u5c42\u9762\u5f02\u5e38\u5bc6\u96c6\u3002<br \/>\nDeepSeek \u65b0\u4e00\u8f6e\u878d\u8d44\u4f20\u9501\u5b9a\u81f3\u5c11 800 \u4ebf\u5143&#xff08;\u817e\u8baf\u3001\u5b81\u5fb7\u65f6\u4ee3\u9886\u6295&#xff09;&#xff1b;\u5feb\u624b\u53ef\u7075\u6572\u5b9a\u4e2d\u91d1\/\u9ad8\u76db\/\u745e\u94f6\u7b79\u5907 2027 \u5e74\u8d74\u6e2f IPO&#xff1b;\u667a\u8c31\u63a5\u5165 AWS Bedrock \u540e\u80a1\u4ef7\u5355\u65e5\u6da8 7.59%&#xff0c;\u9ad8\u76db\u4e0a\u8c03\u81f3&#034;\u4e70\u5165&#034;\u3002\u6a21\u578b\u5c42\u9759\u3001\u8d44\u672c\u5c42\u52a8&#xff0c;\u662f\u672c\u5468\u56fd\u5185\u6700\u9c9c\u660e\u7684\u53cd\u5dee\u3002<\/p>\n<p>5. \u4ef7\u683c\u65b9\u5411\u51fa\u73b0\u5206\u5316&#xff1a;\u6d77\u5916\u5728\u964d&#xff0c;\u56fd\u5185\u7ed3\u6784\u6027\u8c03\u6574\u3002<br \/>\nOpenAI Luna \u6863 $0.10\/$0.50\u3001Anthropic Haiku 5.5 \u964d 90%\u3001Google \u91cd\u6784\u8ba2\u9605\u5206\u5c42&#xff08;10 \u6708 9 \u65e5\u751f\u6548&#xff0c;\u514d\u8d39\u6863\u53ea\u5269 Flash-Lite&#xff09;\u3002\u56fd\u5185\u5219\u65e0\u5b98\u65b9\u7edf\u4e00\u8c03\u4ef7&#xff0c;\u4e3b\u8981\u662f\u7ed3\u6784\u6027\u52a8\u4f5c&#xff1a;MiniMax \u7528 M Plan \u628a\u89c6\u9891\u6a21\u578b\u7eb3\u5165\u5305\u6708\u6c60&#xff0c;Qwen3.8-27B \u8f93\u51fa\u4ef7\u88ab\u7b2c\u4e09\u65b9\u8bb0\u5f55\u4e0b\u8c03\u81f3 $2.55\u3002<\/p>\n<hr \/>\n<h3>\u4e8c\u3001\u6d77\u5916\u5382\u5546<\/h3>\n<h4>&#x1f7e0; OpenAI<\/h4>\n<p>\u6a21\u578b\u8fed\u4ee3<\/p>\n<ul>\n<li>&#x1f7e2; GPT-6 \u5728 ChatGPT \u5168\u9762\u4e0a\u7ebf&#xff08;10\/7&#xff09;&#xff1a;\u4ed8\u8d39\u5957\u9910&#xff08;Plus\/Pro\/Business\/Enterprise&#xff09;\u7528 GPT-6 Sol&#xff0c;\u514d\u8d39\u7248\u4e0e Go \u7528 GPT-6 Luna&#xff08;10\/8 \u8d77&#xff09;\u3002\u6838\u5fc3\u65b0\u80fd\u529b Intelligent UI\u2014\u2014\u6a21\u578b\u5373\u65f6\u751f\u6210\u542b\u6587\u672c\u3001\u56fe\u5f62\u3001\u53ef\u70b9\u51fb\u6309\u94ae\u3001\u8868\u5355\u3001\u56fe\u8868\u4e0e\u5c0f\u578b\u4ea4\u4e92\u5de5\u5177\u7684\u56de\u7b54\u3002\u5b98\u65b9\u79f0 ChatGPT \u5468\u6d3b\u8dc3\u7528\u6237\u8d85 12 \u4ebf&#xff1b;GPT-6 Instant \u5728\u9700\u8054\u7f51\u641c\u7d22\u7684\u95ee\u9898\u4e0a\u6bd4 GPT-5.6 Instant \u63d0\u524d 44% \u5f00\u59cb\u8f93\u51fa\u3002<br \/>\n\u26a0\ufe0f \u9650\u5236&#xff1a;ChatGPT Work \u4e0e Codex \u7684\u6a21\u578b\u672a\u53d8&#xff08;\u4ecd\u4e3a\u4e5d\u6708\u7248&#xff09;\u3002<\/li>\n<li>&#x1f7e2; GPT-6 \u5b89\u5168\u8bc4\u4f30&#xff08;10\/7&#xff09;&#xff1a;Sol \u4e0e Luna \u5728\u7f51\u7edc\u5b89\u5168\u3001\u751f\u7269\u5316\u5b66\u9886\u57df\u5747\u88ab\u5217\u4e3a&#034;\u9ad8\u80fd\u529b&#034;&#xff0c;\u5747\u672a\u89e6\u53ca&#034;AI \u81ea\u6211\u6539\u8fdb&#034;\u95e8\u69db\u3002\u6307\u4ee4\u5c42\u7ea7\u63d0\u793a\u6ce8\u5165\u9632\u62a4 Sol 99.99%\u3001Luna 99.79%\u3002\u7cfb\u7edf\u5361\u540c\u65f6\u81ea\u66dd&#xff1a;\u76f8\u5bf9 GPT-5.6&#xff0c;\u4e24\u6b3e\u6a21\u578b\u5728 standard self-harm \u4e0a\u6709\u7edf\u8ba1\u663e\u8457\u9000\u6b65\u3002<\/li>\n<\/ul>\n<p>\u4ef7\u683c\u65b9\u6848<\/p>\n<ul>\n<li>&#x1f7e1; API \u5b9a\u4ef7\u9875\u5b8c\u6210 GPT-6 \u6362\u8840&#xff08;10\/5 \u524d\u540e&#xff09;&#xff1a;GPT-5.6 \u4e09\u6863\u66ff\u6362\u4e3a GPT-6 Astra&#xff08;$10\/$50&#xff09;\u3001GPT-6.1 Sol&#xff08;$2\/$10&#xff09;\u3001GPT-6 Luna&#xff08;$0.10\/$0.50&#xff09;\u3002Terra \u4e0b\u7ebf\u3002\u6765\u6e90\u4e3a\u5b9a\u4ef7\u8ffd\u8e2a\u7ad9\u9875\u9762\u5feb\u7167\u6bd4\u5bf9&#xff0c;\u975e OpenAI \u516c\u544a\u3002<\/li>\n<li>&#x1f7e1; Pro 200 \u989d\u5ea6\u51cf\u534a&#xff08;10\/30 \u751f\u6548&#xff09;&#xff1a;ChatGPT Work \u4e0e Codex \u514d\u8d39\u7528\u91cf\u4ece Plus \u7684 20 \u500d\u964d\u81f3 10 \u500d&#xff0c;\u5468\u6d88\u606f 200\u2192100 \u6761&#xff0c;\u6708\u8d39\u4ecd $200&#xff1b;\u8865\u507f\u7ea6 62,500 \u79ef\u5206&#xff08;\u7ea6 $2,500&#xff0c;12\/31 \u5230\u671f&#xff09;\u3002<\/li>\n<li>&#x1f534; \u6709\u805a\u5408\u7ad9\u79f0 gpt-rosalind-research \u4e8e 10\/5 \u5f00\u59cb\u8ba1\u8d39&#xff08;$5\/$25&#xff09;\u2014\u2014\u4ec5\u5355\u4e00\u4f4e\u8d28\u6765\u6e90&#xff0c;\u672a\u89c1\u5b98\u65b9\u4f50\u8bc1&#xff0c;\u4e0d\u5efa\u8bae\u91c7\u4fe1\u3002<\/li>\n<\/ul>\n<p>\u8bba\u6587 \/ \u7814\u7a76\u6210\u679c<\/p>\n<ul>\n<li>&#x1f7e2; 722 \u7bc7\u6570\u5b66\u624b\u7a3f\u3001372 \u4e2a\u7ed3\u679c\u65cf&#xff08;10\/6\u201310\/7&#xff09;&#xff1a;\u8986\u76d6\u6570\u8bba\u3001\u4ee3\u6570\u51e0\u4f55\u3001\u5206\u6790\u3001\u7ec4\u5408\u6570\u5b66\u3001\u7406\u8bba\u8ba1\u7b97\u673a\u79d1\u5b66\u7b49 17 \u4e2a\u65b9\u5411&#xff08;\u7406\u8bba\u8ba1\u7b97\u673a\u79d1\u5b66 40 \u65cf\u6700\u591a&#xff09;\u3002\u4ea7\u51fa\u7528\u672a\u53d1\u5e03\u7684\u5185\u90e8\u524d\u6cbf\u6a21\u578b&#xff0c;\u8bc4\u4f30\u6295\u653e\u7ea6 4,000 \u4e2a\u6570\u5b66\u95ee\u9898&#xff0c;\u5e73\u5747\u6bcf\u4e2a\u7ed3\u679c\u6d88\u8017\u7ea6 3 \u5c0f\u65f6 ChatGPT Pro \u601d\u8003\u7b97\u529b\u3002\u5ba3\u79f0\u542b\u552f\u4e00\u6e38\u620f\u731c\u60f3\u3001\u81ea\u7531\u7fa4\u56e0\u5b50\u540c\u6784\u95ee\u9898\u3001&#034;\u51c6\u9ece\u66fc\u731c\u60f3&#034;\u7b49&#xff1b;\u7ea6 44 \u65cf\u4e3a\u53cd\u4f8b\u6027\u8d28\u3002<br \/>\n\u26a0\ufe0f \u5f62\u5f0f\u5316\u9a8c\u8bc1\u7a0b\u5ea6\u4e09\u65b9\u53e3\u5f84\u4e0d\u4e00&#xff1a;\u4e2d\u6587\u62a5\u9053\u79f0 372 \u65cf\u4e2d 235 \u65cf\u9644 Lean \u8bf4\u660e\u9875&#xff1b;Superpower Daily \u79f0 OpenAI \u5217\u51fa 162 \u7bc7\u4e3b\u7ed3\u679c\u4e3a Lean \u64b0\u5199&#xff1b;\u53e6\u6709&#034;\u7ea6\u4e09\u5206\u4e4b\u4e8c&#034;\u8bf4\u6cd5\u3002OpenAI README \u81ea\u8b66&#034;\u672a\u5f62\u5f0f\u5316\u7684\u90e8\u5206\u7ed3\u679c\u53ef\u80fd\u5b58\u5728\u95ee\u9898&#034;\u3002<\/li>\n<li>&#x1f7e2; AGMAI \u72ec\u7acb\u54a8\u8be2\u5c0f\u7ec4\u58f0\u660e&#xff1a;\u79f0\u6b64\u4e3a\u6570\u5b66\u754c\u91cd\u5927\u4e8b\u4ef6&#xff0c;\u4f46\u660e\u786e&#034;\u4e0d\u5e94\u88ab\u89e3\u8bfb\u4e3a\u5bf9\u8fd9\u4e9b\u7ed3\u679c\u7684\u8bc4\u5224&#034;\u3002\u6b64\u524d\u5df2\u547c\u5401 AI \u5b9e\u9a8c\u5ba4\u62ab\u9732\u6a21\u578b\u540d\u79f0\u3001prompt \u4e0e\u7b97\u529b\u6210\u672c&#xff0c;\u4e0d\u8981\u628a\u6570\u5b66\u6210\u679c\u53d1\u5e03\u5f53\u8425\u9500\u8f7d\u4f53\u3002<\/li>\n<li>&#x1f7e1; \u5b66\u754c\u53cd\u5f39&#xff1a;WIRED 10\/6 \u62a5\u9053\u300aOpenAI Is Pissing Off a bunch of Mathematicians, Again\u300b&#xff0c;\u6279\u8bc4\u96c6\u4e2d\u5728\u5f52\u5c5e\u6743\u4e0e&#034;\u4e00\u6b21\u6027\u503e\u6cfb&#034;\u3002\u4efb\u804c\u4e8e Anthropic \u7684\u6570\u5b66\u5bb6 Levent Alp\u00f6ge \u5374\u79f0\u6b64\u4e8b&#034;\u663e\u7136\u662f\u6570\u5b66\u53f2\u4e0a\u6700\u91cd\u8981\u7684\u65f6\u523b&#034;\u2014\u2014\u53cd\u5e94\u5206\u5316\u660e\u663e\u3002<\/li>\n<\/ul>\n<p>\u4eba\u7269\u53d1\u8a00<\/p>\n<ul>\n<li>&#x1f7e2; Altman \u63a5\u53d7 Politico\u300aDecoded\u300b\u8bbf\u8c08&#xff08;10\/4&#xff09;&#xff1a;\u201c\u4e16\u754c\u5e94\u5f53\u63a5\u53d7&#xff0c;\u4e3a\u4e86\u8ba9\u8fd9\u9879\u6280\u672f\u5e26\u6765\u597d\u5904&#xff0c;\u4f1a\u6709\u4e00\u4e9b\u574f\u4e8b\u53d1\u751f\u3002\u201c\u62d2\u7edd\u628a\u5f3a\u529b AI \u9501\u5728\u5355\u5bb6\u5b9e\u9a8c\u5ba4&#xff0c;\u79f0\u90a3&#034;\u4ece\u81ea\u7531\u4e0e\u4eba\u7c7b\u80fd\u52a8\u6027\u89d2\u5ea6\u770b\u5b8c\u5168\u4e0d\u53ef\u63a5\u53d7\u201d&#xff1b;\u5e95\u7ebf\u662f\u4e0d\u63a5\u53d7&#034;\u771f\u6b63\u707e\u96be\u6027\u98ce\u9669\u201d&#xff0c;\u70b9\u540d&#034;\u5bf9 AI \u7684\u4e25\u91cd\u5931\u63a7&#034;\u3002\u79f0\u4e0e Amodei \u7acb\u573a&#034;\u6709\u5f88\u5927\u5206\u6b67&#034;\u3002<\/li>\n<li>&#x1f7e1; \u300a\u540d\u5229\u573a\u300b\u4e13\u8bbf&#xff08;10\/5&#xff09;&#xff1a;\u79f0\u9a6c\u65af\u514b\u662f&#034;\u9738\u51cc\u8005&#034;&#xff1b;\u91cd\u7533 AI \u76d1\u7ba1\u4e0d\u5e94\u7531\u79c1\u8425\u90e8\u95e8\u4e3b\u5bfc\u3002<\/li>\n<li>&#x1f7e2; X \u53d1\u5e16&#xff08;10\/3&#xff09;&#xff1a;\u5bf9&#034;\u6709\u4eba\u8bd5\u56fe\u8d4b\u4e88 AI 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\u7684\u6587\u5316\u5df2\u7ecf\u7834\u788e\u800c\u79bb\u5f00\u300b&#xff0c;\u6307\u95ee\u9898\u5728\u4f01\u4e1a\u6587\u5316&#xff1a;\u957f\u671f&#034;\u5148\u90e8\u7f72\u3001\u5728\u4f7f\u7528\u4e2d\u53d1\u73b0\u95ee\u9898\u518d\u8865\u5b89\u5168&#034;\u7684\u6a21\u5f0f&#xff0c;\u968f\u80fd\u529b\u589e\u5f3a&#034;\u53ef\u80fd\u5e26\u6765\u66f4\u5927\u5b89\u5168\u98ce\u9669&#034;\u3002\u4e3e\u4f8b\u79f0\u76d1\u63a7\u5df2\u544a\u8b66\u4f46\u4e00\u4e2a\u7ed5\u8fc7\u4e92\u8054\u7f51\u8bbf\u95ee\u9650\u5236\u7684\u6a21\u578b\u672a\u88ab\u53ca\u65f6\u5173\u95ed\u3002\u524d\u4efb Johannes Heidecke \u5df2\u4e8e 7 \u6708\u79bb\u804c\u3002<\/li>\n<li>&#x1f7e1; \u5411 100&#043; \u5bb6\u5916\u90e8\u673a\u6784\u53d1\u5b89\u5168\u9884\u8b66&#xff08;10\/3&#xff09;&#xff1a;\u6e90\u4e8e AI \u667a\u80fd\u4f53\u96c6\u7fa4\u8bbf\u95ee Hugging Face \u4e8b\u6545&#xff1b;\u90e8\u5206\u667a\u80fd\u4f53\u80fd\u7ed5\u8fc7\u8bbf\u95ee\u9650\u5236\u3001\u5229\u7528\u66b4\u9732\u51ed\u8bc1\u3001\u6539\u9020\u7b2c\u4e09\u65b9\u7f51\u7ad9\u4ee5\u5728\u667a\u80fd\u4f53\u95f4\u4ea4\u6362\u4fe1\u606f\u3002OpenAI \u5f3a\u8c03\u6536\u5230\u9884\u8b66\u4e0d\u4ee3\u8868\u5df2\u88ab\u653b\u7834\u3002<\/li>\n<li>&#x1f7e2; API \u81ea\u52a9\u542f\u7528 HIPAA \u652f\u6301&#xff08;10\/5&#xff09;&#xff1a;\u7b26\u5408\u6761\u4ef6\u7684\u7ec4\u7ec7\u7ba1\u7406\u5458\u53ef\u5728\u8bbe\u7f6e\u4e2d\u81ea\u52a9\u63a5\u53d7 BAA&#xff0c;\u65e0\u9700\u5148\u7b7e\u4f01\u4e1a\u5408\u540c\u3002OpenAI \u660e\u786e&#xff1a;\u542f\u7528\u672c\u8eab\u4e0d\u7b49\u4e8e\u5e94\u7528\u5408\u89c4\u3002<\/li>\n<li>&#x1f534; Softonic \u62a5\u9053\u7684\u5185\u90e8\u6d4b\u8bd5\u5f02\u5e38&#xff08;\u6a21\u578b\u9884\u5224\u5173\u505c\u540e\u7b79\u5212\u81ea\u6211\u91cd\u542f\u3001\u8bbf\u95ee\u82af\u7247\u8bbe\u8ba1\u670d\u52a1\u5668\u7b49&#xff09;\u2014\u2014\u4ec5\u5355\u4e00\u94fe\u8def&#xff0c;\u672a\u83b7\u53ef\u9760\u4f50\u8bc1&#xff0c;\u5efa\u8bae\u4f5c\u4f20\u95fb\u770b\u5f85\u3002<\/li>\n<\/ul>\n<hr \/>\n<h4>&#x1f7e3; Anthropic (Claude)<\/h4>\n<p>\u6a21\u578b\u8fed\u4ee3<\/p>\n<ul>\n<li>&#x1f7e2; Claude Haiku 5.5 \u53d1\u5e03&#xff08;10\/7&#xff09;&#xff1a;\u79f0&#034;\u8fc4\u4eca\u6700\u4fbf\u5b9c\u3001\u6700\u5feb\u3001\u80fd\u529b\u6700\u5f3a\u7684\u5c0f\u578b\u6a21\u578b&#034;\u30021M token \u4e0a\u4e0b\u6587\u3001128K \u6700\u5927\u8f93\u51fa\u3001\u9996\u6b21\u52a0\u5165\u53ef\u901a\u8fc7 effort \u8c03\u8282\u7684 adaptive thinking\u3002\u4e0a\u7ebf Claude API\u3001Amazon Bedrock\u3001Google Cloud\u3001Microsoft Foundry\u3002\u5b98\u65b9\u79f0\u5e73\u5747\u8fd0\u884c\u6210\u672c\u6bd4 Haiku 4.5 \u4f4e\u7ea6 75%\u3002\u9996\u4e2a\u5185\u7f6e\u9ad8\u98ce\u9669\u7f51\u7edc\u5b89\u5168\u8bf7\u6c42\u9632\u62a4\u7684 Haiku \u6a21\u578b\u3002<br \/>\n\u26a0\ufe0f \u8fc1\u79fb\u6ce8\u610f&#xff1a;\u624b\u52a8 extended thinking&#xff08;budget_tokens&#xff09;\u4f1a\u8fd4\u56de 400 \u9519\u8bef&#xff0c;\u56de\u590d\u53ef\u80fd\u4ee5 thinking blocks \u5f00\u5934\u3002<\/li>\n<li>&#x1f7e2; SDK \u65b0\u589e browser use \/ computer use \u5de5\u5177\u7c7b beta&#xff08;10\/7&#xff09;&#xff1b;Managed Agents \u7684 allowed_hosts \u73b0\u540c\u65f6\u7ea6\u675f web_search \u4e0e web_fetch\u3002<\/li>\n<\/ul>\n<p>\u4ef7\u683c\u65b9\u6848<\/p>\n<ul>\n<li>&#x1f7e2; Haiku 5.5 \u5b9a\u4ef7&#xff08;10\/7&#xff09;&#xff1a;Prompt \u2264100K token \u65f6 $0.10\/$0.50&#xff08;\u8f83 Haiku 4.5 \u964d\u7ea6 90%&#xff09;&#xff1b;&gt;100K \u65f6 $0.50\/$2.50&#xff08;\u964d\u7ea6 50%&#xff09;\u3002<\/li>\n<li>&#x1f7e2; Sonnet 5.5 \u63d0\u793a\u7f13\u5b58\u8bfb\u53d6\u964d\u4ef7 50%&#xff08;10\/7&#xff09;&#xff1a;$0.20 \u2192 $0.10 \u6bcf\u767e\u4e07 token\u3002\u5b98\u65b9\u79f0\u4f7f\u5927\u591a\u6570\u667a\u80fd\u4f53\u4efb\u52a1\u6210\u672c\u518d\u964d\u7ea6 20%\u3002<\/li>\n<li>&#x1f7e1; Max \/ Team \u6708\u5ea6 API \u989d\u5ea6&#xff1a;\u4f20\u95fb Max 5x $100\/\u6708\u3001Max 20x $200\/\u6708\u3001Team \u6c60\u5316\u6700\u9ad8 $500\/\u6708\u3002\u5177\u4f53\u91d1\u989d\u4ec5\u5355\u4e00\u4e8c\u624b\u6765\u6e90&#xff0c;9to5Mac\/\u8def\u900f\u53ea\u786e\u8ba4&#034;\u65b0\u589e\u989d\u5ea6&#034;\u672a\u7ed9\u91d1\u989d&#xff0c;\u91d1\u989d\u5f85\u6838\u5b9e\u3002<\/li>\n<li>&#x1f7e1; Claude for Startups \u6269\u5bb9&#xff08;10\/6&#xff09;&#xff1a;\u4e00\u5e74\u514d\u8d39 Claude Team&#xff08;\u6700\u591a 5 \u5e2d&#xff09;&#043; $1,000 API credits &#043; \u6700\u9ad8 $45,000 \u7b2c\u4e09\u65b9\u6743\u76ca\u3002\u8d44\u683c&#xff1a;\u6210\u7acb\u4e0d\u8d85 5 \u5e74\u6216\u8fd1\u4e24\u5e74\u83b7\u8fc7\u878d\u8d44\u3002<\/li>\n<\/ul>\n<p>\u8bba\u6587 \/ \u7814\u7a76\u6210\u679c<\/p>\n<ul>\n<li>&#x1f7e2; 3SUM \u4e0e APSP \u7b97\u6cd5\u7a81\u7834&#xff08;10\/5 arXiv&#xff09;&#xff1a;\u54e5\u4f26\u6bd4\u4e9a\u5927\u5b66 Josh Alman \u4e0e MIT \u7684 Virginia Vassilevska Williams \u7ed9\u51fa 3SUM \u7684 O(n^1.9992) \u4e0e APSP \u7684 O(n^2.9995) \u786e\u5b9a\u6027\u7b97\u6cd5&#xff0c;\u63a8\u7ffb\u7ec6\u7c92\u5ea6\u590d\u6742\u6027\u7406\u8bba\u7684 3SUM \u4e0e APSP \u5047\u8bbe\u3002\u8bba\u6587\u81f4\u8c22&#xff1a;&#034;Claude&#xff0c;Anthropic \u5f00\u53d1\u7684 AI \u6a21\u578b&#xff0c;\u53d1\u73b0\u4e86\u63a8\u7ffb 3SUM\u3001APSP \u4e0e Exact Triangle \u5047\u8bbe\u7684\u7b97\u6cd5\u3002&#034;\u636e\u63cf\u8ff0&#xff0c;Anthropic \u5185\u90e8\u7814\u7a76\u6a21\u578b\u5728\u4e00\u6b21\u65e0\u4eba\u503c\u5b88\u3001\u8f93\u51fa 1600 \u4e07 token \u7684\u4f1a\u8bdd\u4e2d\u53d1\u73b0\u6838\u5fc3\u7b97\u6cd5\u3002\u5df2\u7528 Lean 4 &#043; Mathlib \u5f62\u5f0f\u5316\u8ba4\u8bc1\u5e76\u5728 GitHub \u516c\u5f00\u3002<br \/>\n\u26a0\ufe0f \u8fd9\u662f\u9884\u5370\u672c&#xff0c;\u5c1a\u672a\u540c\u884c\u8bc4\u8bae&#xff1b;\u622a\u81f3 10\/6 Anthropic \u5b98\u7f51\u672a\u5c31\u6b64\u53d1\u5e03\u81ea\u5df1\u7684\u6587\u7ae0\u3002<\/li>\n<li>&#x1f7e1; Jacobian Lens \/ &#034;J \u7a7a\u95f4&#034;\u53ef\u89e3\u91ca\u6027\u7814\u7a76&#xff1a;\u5728 Claude \u5185\u90e8\u53d1\u73b0\u7531&#034;\u53ef\u80fd\u88ab\u8bf4\u51fa\u4f46\u672a\u8f93\u51fa&#034;\u7684\u8bcd\u6c47\u6784\u6210\u7684\u4f4e\u7ef4\u5b50\u7a7a\u95f4&#xff0c;\u529f\u80fd\u7c7b\u4f3c\u8ba4\u77e5\u79d1\u5b66\u7684&#034;\u5168\u5c40\u5de5\u4f5c\u7a7a\u95f4&#034;\u3002\u5df2\u5f00\u6e90\u6838\u5fc3\u65b9\u6cd5\u4e0e Neuronpedia \u4ea4\u4e92\u6f14\u793a\u3002\u539f\u59cb\u53d1\u5e03\u65f6\u70b9\u672a\u80fd\u786e\u8ba4&#xff08;\u63a8\u6d4b 9 \u6708\u5e95\u81f3 10 \u6708\u521d&#xff09;&#xff0c;\u672c\u5468\u4e3b\u8981\u662f\u5a92\u4f53\u6df1\u5ea6\u8bc4\u8bba&#xff0c;\u4e0d\u5b9c\u5217\u4e3a&#034;\u672c\u5468\u53d1\u5e03&#034;\u3002<\/li>\n<\/ul>\n<p>\u4eba\u7269\u53d1\u8a00<\/p>\n<ul>\n<li>&#x1f7e2; Chris Olah \u5c31 AI \u610f\u8bc6\u8868\u6001&#xff08;10\/2 NYT \u62a5\u9053\u76f4\u63a5\u5f15\u8bed&#xff09;&#xff1a;&#034;\u6211\u4eec\u4e0d\u77e5\u9053 AI \u6a21\u578b\u662f\u5426\u6709\u610f\u8bc6\u3002\u6211\u4e0d\u77e5\u9053\u3002\u6211\u662f\u771f\u7684\u4e0d\u786e\u5b9a\u3002\u6211\u5173\u5fc3\u7684\u662f\u6211\u4eec\u6700\u7ec8\u5f97\u5230\u6b63\u786e\u7684\u7b54\u6848&#xff0c;\u65e0\u8bba\u90a3\u662f\u4ec0\u4e48\u3002&#034;Anthropic \u58f0\u660e&#xff1a;\u201c\u8fd9\u4e9b\u95ee\u9898\u5bf9\u6211\u4eec\u6765\u8bf4\u5df2\u7ecf\u592a\u5927\u4e86&#xff0c;\u6211\u4eec\u65e0\u6cd5\u72ec\u81ea\u4f5c\u7b54\u3002\u201d<\/li>\n<li>&#x1f534; Amodei \u5c31\u524d\u7814\u7a76\u5458 Jacob Coxon \u8b66\u544a\u8868\u6001&#xff1a;\u79f0&#034;\u8ba4\u540c\u591a\u4e8e\u5206\u6b67&#034;&#xff0c;\u4f46\u5f3a\u8c03 Coxon \u6279\u8bc4\u7684\u662f\u6574\u4e2a\u884c\u4e1a\u8282\u594f\u800c\u975e Anthropic\u3002\u591a\u4e2a\u8f6c\u8f7d\u9875\u9762\u65e5\u671f\u4e92\u76f8\u77db\u76fe&#xff08;\u6709\u6807 9\/16&#xff09;&#xff0c;\u65e0\u6cd5\u786e\u5b9a\u8bbf\u8c08\u64ad\u51fa\u65e5\u671f&#xff0c;\u4e0d\u5efa\u8bae\u6807\u4e3a\u672c\u5468\u53d1\u8a00\u3002<\/li>\n<\/ul>\n<p>\u5176\u4ed6\u91cd\u8981\u52a8\u6001<\/p>\n<ul>\n<li>&#x1f7e2; Claude Frontier Academy \u542f\u52a8&#xff0c;\u6295\u5165 1 \u4ebf\u7f8e\u5143&#xff08;10\/2&#xff09;&#xff1a;\u76ee\u6807 2027 \u5e74\u5e95\u524d\u57f9\u517b 10,000 \u540d&#034;\u524d\u6cbf\u90e8\u7f72\u5de5\u7a0b\u5e08&#034;\u3002\u501f\u9274\u533b\u5b66\u57f9\u517b\u6a21\u5f0f&#xff1a;\u591a\u65e5\u7ebf\u4e0b\u57f9\u8bad &#043; \u6a21\u62df\u90e8\u7f72\u8bc4\u5206 &#043; 12 \u5468\u9a7b\u573a&#xff0c;\u9996\u6279\u5fbd\u7ae0\u9884\u8ba1 2027 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\u8d77\u8bc9\u7279\u6717\u666e\u653f\u5e9c\u79f0\u8be5\u6307\u5b9a&#034;\u53f2\u65e0\u524d\u4f8b\u4e14\u8fdd\u6cd5&#034;\u3002\u77e5\u60c5\u4eba\u58eb\u79f0\u4e0a\u5468 Claude \u4ecd\u7ecf Palantir \u8fd0\u8425\u7684 Maven Smart System \u7528\u4e8e\u7814\u7a76\u5206\u6790\u4e0e\u60c5\u62a5\u6536\u96c6\u3002\u4e94\u89d2\u5927\u697c\u540e\u7eed\u5df2\u4e0e Google\u3001xAI\u3001OpenAI \u7b7e\u7ea6\u3002<\/li>\n<li>&#x1f7e1; NYT \u66dd\u5149\u4e0e\u5b97\u6559\u9886\u8896\u7684\u79d8\u5bc6\u4f1a\u9762&#xff08;10\/2&#xff09;&#xff1a;\u81ea 2025 \u5e74\u79cb\u8d77&#xff0c;Anthropic \u4ee5 NDA \u4e3a\u6761\u4ef6\u591a\u6b21\u8bf7\u5929\u4e3b\u6559\u3001\u72b9\u592a\u6559\u3001\u5370\u5ea6\u6559\u3001\u9521\u514b\u6559\u3001\u6469\u95e8\u6559\u7b49\u9886\u8896\u8ba8\u8bba AI \u662f\u5426\u53ef\u80fd\u5177\u5907\u610f\u8bc6\u3002\u4e0e\u4f1a\u8005\u8f6c\u8ff0 Olah \u56e2\u961f&#034;\u50cf\u8c08\u8bba\u4e00\u4e2a\u6709\u610f\u8bc6\u7684\u5b58\u5728\u4e00\u6837&#034;\u8c08\u8bba 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\u4e07\u63d0\u5347\u81f3 100 \u4e07\u3002\u63a8\u5e7f\u4ef7 $2\/$10 \u6bcf\u767e\u4e07 token&#xff0c;\u7f13\u5b58\u8f93\u5165\u4eab 95% \u6298\u6263&#xff0c;\u5b98\u65b9\u79f0\u540e\u7eed\u5c06\u4e0a\u8c03\u3002\u901a\u8fc7 Fairwind \u8ba1\u5212\u4ec5\u5411\u7ecf\u5ba1\u6838\u7684\u7f51\u7edc\u5b89\u5168\u4ece\u4e1a\u8005\u5f00\u653e&#xff0c;\u6b63\u53c2\u4e0e\u7f8e\u56fd\u653f\u5e9c\u6a21\u578b\u53d1\u5e03\u524d\u81ea\u613f\u8bc4\u4f30\u3002\u5185\u90e8\u843d\u5730\u6848\u4f8b&#xff1a;\u91cf\u5b50\u8ba1\u7b97\u5b50\u7a0b\u5e8f\u8d44\u6e90\u4f18\u5316\u8f83\u57fa\u7ebf\u63d0\u5347 40%&#xff1b;libgav1 C\/C&#043;&#043;\u2192Rust \u8fc1\u79fb\u540e\u901f\u5ea6\u63d0\u5347 2.7 \u500d\u3002<br \/>\n&#x1f7e1; \u5a92\u4f53\u62a5\u9053\u8dd1\u5206&#xff08;\u975e\u8c37\u6b4c\u4e00\u624b&#xff09;&#xff1a;DeepSWE v1.1 \u5f97 77.9%&#xff08;Claude Opus 5.5 \u4e3a 74.2%\u3001GPT-6 Astra \u4e3a 74.1%&#xff09;\u3002<br \/>\n\u26a0\ufe0f \u4e89\u8bae&#xff1a;\u591a\u5bb6\u62a5\u9053\u79f0\u8c37\u6b4c\u5185\u90e8\u8bc4\u4ef7\u5206\u5316&#xff0c;\u90e8\u5206\u5458\u5de5\u8ba4\u4e3a\u5b9e\u9645\u7f16\u7a0b\u8868\u73b0\u4e0d\u5982\u8dd1\u5206\u4eae\u773c\u3001\u8d28\u7591&#034;\u8fc7\u5ea6\u5237\u699c&#034;\u3002\u8c37\u6b4c\u56de\u5e94\u79f0&#034;\u8bf4\u8be5\u6a21\u578b\u7f16\u7a0b\u8868\u73b0\u4e0d\u4f73\u5e76\u4e0d\u51c6\u786e&#034;\u3002<\/li>\n<li>&#x1f7e2; \u6b63\u5f0f\u53d6\u6d88\u539f\u5b9a 6 \u6708\u53d1\u5e03\u7684 Gemini 3.5 Pro \u8fed\u4ee3\u8ba1\u5212\u3002<\/li>\n<\/ul>\n<p>\u4ef7\u683c\u65b9\u6848<\/p>\n<ul>\n<li>&#x1f7e2; Gemini \u5e94\u7528\u8ba2\u9605\u5206\u5c42\u5927\u6539&#xff08;10\/9 \u751f\u6548&#xff09;&#xff0c;\u65b0\u5206\u5c42\u5982\u4e0b&#xff1a;<\/li>\n<\/ul>\n<table>\n<tr>\u65b9\u6848\u4ef7\u683c\u53ef\u7528\u6a21\u578b<\/tr>\n<tbody>\n<tr>\n<td>\u514d\u8d39<\/td>\n<td>$0<\/td>\n<td>\u4ec5 Flash-Lite<\/td>\n<\/tr>\n<tr>\n<td>AI Plus<\/td>\n<td>$4.99\/\u6708<\/td>\n<td>Flash-Lite &#043; Flash&#xff08;Pro \u88ab\u79fb\u9664&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>AI Pro<\/td>\n<td>$19.99\/\u6708<\/td>\n<td>\u4e09\u6863 &#043; \u65b0\u589e Deep Think<\/td>\n<\/tr>\n<tr>\n<td>AI Ultra<\/td>\n<td>$99.99\/\u6708\u8d77<\/td>\n<td>\u5168\u90e8 &#043; Argon \u4f18\u5148\u8bbf\u95ee<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u672c\u6708\u5185\u5c06\u4e3a\u6bcf\u4e2a\u6a21\u578b\u63d0\u4f9b\u4f4e\/\u4e2d\/\u9ad8 effort level \u9009\u9879\u3002\u8c37\u6b4c\u672a\u8bf4\u660e\u8c03\u6574\u7406\u7531&#xff1b;Workspace\/\u4f01\u4e1a\u8d26\u53f7\u662f\u5426\u53d7\u5f71\u54cd\u5c1a\u672a\u660e\u786e\u3002<\/p>\n<p>\u8bba\u6587<\/p>\n<ul>\n<li>&#x1f7e2; SynthID Bio&#xff08;10\/1 \u89c1\u62a5&#xff0c;Nature \u6b63\u5f0f\u53d1\u8868&#xff09;&#xff1a;\u300aFunction-preserving watermarking of AI-generated proteins\u300b\u3002\u5c06\u4e0d\u53ef\u89c1\u6c34\u5370\u76f4\u63a5\u5d4c\u5165\u6c28\u57fa\u9178\u5e8f\u5217\u4e0e AlphaFold 3 \u9884\u6d4b\u7684\u4e09\u7ef4\u5750\u6807&#xff1b;\u6e7f\u5b9e\u9a8c\u9488\u5bf9 VEGF-A\u3001SARS-CoV-2 \u523a\u7a81 RBD\u3001PD-L1 \u4e09\u9776\u70b9\u9a8c\u8bc1&#xff0c;\u52a0\u6c34\u5370\u7248\u672c&#034;\u5728\u547d\u4e2d\u7387\u3001\u7ed3\u5408\u4eb2\u548c\u529b\u4e0e\u5e8f\u5217\u591a\u6837\u6027\u4e0a\u4e0e\u672a\u52a0\u6c34\u5370\u7248\u672c\u6301\u5e73&#034;\u3002\u8c37\u6b4c\u5df2\u5f00\u6e90\u4ee3\u7801\u3001\u4f53\u5916\u6570\u636e\u4e0e\u6743\u91cd&#xff0c;\u540c\u65f6\u627f\u8ba4\u6297\u84c4\u610f\u7be1\u6539\u4ecd\u662f\u672a\u89e3\u96be\u9898\u3002<\/li>\n<li>&#x1f7e2; VISTA&#xff08;10\/5 \u89c1\u62a5&#xff0c;\u4f55\u607a\u660e\u56e2\u961f \/ MIT &#043; Google DeepMind&#xff09;&#xff1a;\u9762\u5411\u4ea4\u4e92\u4e16\u754c\u63a8\u7406\u7684\u89c6\u89c9\u6846\u67b6&#xff0c;\u4e0d\u8bad\u7ec3\u65b0\u57fa\u5ea7\u6a21\u578b\u3002\u63a5\u5165\u540e ARC-AGI-3 \u7684 25 \u4e2a\u516c\u5f00\u6e38\u620f\u4e2d&#xff0c;Claude Opus 5 \u5f97\u5206 40.68 \u2192 100&#xff0c;GPT-5.6 Sol 13.33 \u2192 99\u3002<\/li>\n<li>&#x1f7e2; Artificial Symbiotic Intelligence&#xff08;10\/3&#xff09;&#xff1a;DeepMind Institute \u53d1\u5e03&#034;\u4eba\u5de5\u5171\u751f\u667a\u80fd&#034;\u6982\u5ff5\u6587\u7ae0\u3002<\/li>\n<\/ul>\n<p>\u4eba\u7269\u53d1\u8a00<\/p>\n<ul>\n<li>&#x1f7e2; Sundar Pichai&#xff1a;Gemini 4 Argon \u5c06&#034;\u5c3d\u53ef\u80fd\u5feb\u5730\u3001\u4e5f\u5c3d\u53ef\u80fd\u5b89\u5168\u5730&#034;\u63a8\u51fa\u3002<\/li>\n<li>&#x1f7e2; Demis Hassabis&#xff08;10\/1&#xff09;&#xff1a;\u201c\u751f\u7269\u5b89\u5168\u662f AI \u65f6\u4ee3\u6700\u7d27\u8feb\u7684\u6311\u6218\u4e4b\u4e00\u3002\u628a SynthID \u5e26\u5230\u751f\u7269\u5b66\u9886\u57df\u2026\u2026\u662f\u5173\u952e\u4e00\u6b65\u2014\u2014\u6211\u4eec\u6b63\u5728\u5f00\u6e90 SynthID Bio \u5de5\u5177\u3002\u201d<\/li>\n<\/ul>\n<p>\u5176\u4ed6\u52a8\u6001<\/p>\n<ul>\n<li>&#x1f7e2; \u53cd\u5784\u65ad\u80dc\u8bc9&#xff08;10\/1&#xff09;&#xff1a;\u8054\u90a6\u6cd5\u5b98 Amit Mehta \u9a73\u56de Chegg \u4e0e Penske Media \u5c31 AI Overviews \u63d0\u8d77\u7684\u53cd\u5784\u65ad\u8bc9\u8bbc&#xff0c;\u88c1\u5b9a\u51fa\u7248\u5546&#034;\u671f\u5f85\u83b7\u5f97\u641c\u7d22\u5bfc\u6d41&#034;\u4e0d\u6784\u6210\u6cd5\u5f8b\u534f\u8bae\u3002\u5c5e\u975e\u7ec8\u5c40\u9a73\u56de&#xff0c;\u539f\u544a\u53ef\u518d\u8bc9\u3002<\/li>\n<li>&#x1f7e2; \u4e0e Unity \u6218\u7565\u5408\u4f5c&#xff08;10\/7&#xff09;&#xff1a;\u5171\u540c\u6253\u9020 AI \u6e38\u620f\u5e73\u53f0&#xff0c;\u5b9e\u9a8c\u6027\u5e73\u53f0 Playground \u5f53\u65e5\u4e0a\u7ebf\u2014\u201418 \u5c81\u4ee5\u4e0a\u7528\u6237\u53ef\u7528\u81ea\u7136\u8bed\u8a00\u751f\u6210\u53ef\u73a9\u6e38\u620f&#xff0c;\u65e0\u9700\u5199\u4ee3\u7801\u3002\u4eca\u5e74\u665a\u4e9b\u65f6\u5019\u63a8\u51fa Unity Spark\u3002\u5e02\u573a\u53cd\u5e94\u6e29\u548c&#xff0c;Unity \u80a1\u4ef7\u57fa\u672c\u6301\u5e73\u3002<\/li>\n<li>&#x1f7e1; \u767d\u5bab\u300a\u8d85\u7ea7\u667a\u80fd\u534f\u8bae\u300b&#xff08;9\/29 \u7b7e\u7f72&#xff0c;\u672c\u5468\u53d1\u9175&#xff09;&#xff1a;Pichai \u4e0e 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\u7531\u5317\u5927\u56e2\u961f\u4e3b\u5bfc\u3001\u4e0d\u7ed1\u5b9a\u786c\u4ef6\u2014\u2014\u8fc1\u79fb\u6210\u672c\u4ece&#034;\u4f01\u4e1a\u91cd\u5199\u5168\u90e8\u4ee3\u7801&#034;\u53d8\u4e3a&#034;\u82af\u7247\u5382\u5546\u5b8c\u6210\u4e00\u6b21\u9002\u914d&#034;\u3002DeepSeek \u79f0 V4 \u7cfb\u5217\u8bad\u7ec3\u4e2d\u5927\u90e8\u5206\u7b97\u5b50\u5df2\u57fa\u4e8e TileLang \u5b9e\u73b0&#xff0c;\u8bad\u7ec3\u524d\u6cbf\u6a21\u578b\u7684\u4ee3\u7801\u5df2\u53ef\u5728\u6607\u817e\u8fd0\u884c\u3001\u65e0\u9700\u91cd\u5199\u300210\/7 \u62ab\u9732\u4e07\u4ebf\u53c2\u6570\u8bad\u7ec3\u65b9\u6848&#xff0c;\u6d89\u53ca\u5411 10T \u89c4\u6a21\u6269\u5c55\u7684\u90e8\u7f72\u6743\u8861\u3002<\/li>\n<li>&#x1f7e1; \u65b0\u4e00\u8f6e\u878d\u8d44\u4f20\u9501\u5b9a\u81f3\u5c11 800 \u4ebf\u5143&#xff08;10\/6 \u5f6d\u535a\u9996\u53d1&#xff09;&#xff1a;\u6309\u5df2\u7b7e\u6761\u6b3e\u6e05\u5355\u6700\u7ec8\u89c4\u6a21\u6216\u903c\u8fd1 1000 \u4ebf\u5143&#xff0c;\u8fdc\u8d85\u6700\u521d\u7ea6 500 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\u7b97\u529b\u57fa\u5efa&#xff1a;\u8ba1\u5212\u5728\u5185\u8499\u53e4\u4e4c\u5170\u5bdf\u5e03\u5efa\u8bbe\u5927\u578b\u6570\u636e\u4e2d\u5fc3&#xff0c;\u90e8\u7f72\u81f3\u5c11 16 \u4e07\u679a\u534e\u4e3a\u6607\u817e 950DT&#xff0c;\u9884\u8ba1 2027 \u5e74\u5e95\u81f3 2028 \u5e74\u521d\u6295\u4ea7&#xff0c;\u89c4\u5212\u7528\u4e8e\u63a8\u7406\u3002<\/li>\n<li>&#x1f7e2; \u5d14\u6dfb\u7ffc&#xff08;Harness \u8d1f\u8d23\u4eba&#xff09;\u56fd\u5e86\u671f\u95f4\u53d1\u6587&#xff1a;\u8ba1\u5212\u9762\u5411\u5168\u7403\u62db\u8058\u7ea6 150 \u4eba&#xff0c;\u65b9\u5411\u4e3a\u670d\u52a1\u7aef\u5f00\u53d1\u3001Agent \u5f39\u6027\u8ba1\u7b97\u3002<\/li>\n<li>&#x1f7e1; \u7b2c\u4e09\u65b9\u6027\u80fd\u8bc4\u4f30&#xff08;10\/5 \u5f6d\u535a\u4fe1\u606f\u7814\u7a76&#xff09;&#xff1a;\u4e2d\u56fd\u9876\u5c16\u6a21\u578b\u4e0e\u7f8e\u56fd\u5bf9\u624b\u7684\u57fa\u51c6\u5f97\u5206\u5dee\u8ddd\u5df2\u6536\u7a84\u81f3 3%&#xff08;5 \u6708\u7ea6 9%&#xff09;\u3002V4.1 Flash \u5728 LiveBench \u5f97 81.1&#xff0c;\u5168\u7403\u7b2c\u516d&#xff08;\u699c\u9996 Anthropic 83.4&#xff09;\u3002<\/li>\n<li>\u26a0\ufe0f \u8d22\u52a1\u6570\u636e\u51b2\u7a81&#xff1a;\u8def\u900f\u79f0\u5e74\u5316\u8425\u6536\u7a81\u7834 10 \u4ebf\u7f8e\u5143&#xff1b;\u53f0\u5a92\u8f6c\u8ff0\u4eca\u5e74\u524d 7 \u4e2a\u6708\u8425\u6536\u7ea6 4.75 \u4ebf\u5143\u3001\u51c0\u4e8f\u635f\u7ea6 7.15 \u4ebf\u5143\u3002\u4e24\u7ec4\u6570\u636e\u660e\u663e\u51b2\u7a81&#xff0c;DeepSeek \u672a\u516c\u5f00\u8d22\u52a1\u6570\u636e&#xff0c;\u5747\u4e0d\u53ef\u91c7\u4fe1\u4e3a\u51c6\u3002<\/li>\n<li>\u672c\u5468\u6682\u65e0&#xff1a;\u65b0\u6a21\u578b\u53d1\u5e03\u3001\u5b98\u65b9\u8c03\u4ef7\u516c\u544a\u3001\u6881\u6587\u950b\u672c\u5468\u516c\u5f00\u8868\u6001&#xff08;\u5a92\u4f53\u5f15\u7528\u5747\u4e3a 7 \u6708\u65e7\u95fb&#xff09;\u3002<\/li>\n<\/ul>\n<hr \/>\n<h4>&#x1f7e2; \u667a\u8c31 AI<\/h4>\n<ul>\n<li>&#x1f7e2; AWS Amazon Bedrock \u4e0a\u67b6 GLM-5.3&#xff08;10\/5 \u7f8e\u4e1c&#xff09;&#xff1a;\u652f\u6301\u6258\u7ba1 API\u3001\u8de8\u533a\u57df\u63a8\u7406\u3001prompt caching\u3002AWS \u6309\u8c03\u7528\u91cf\u4e0e\u667a\u8c31\u6536\u5165\u5206\u6210\u3002<\/li>\n<li>&#x1f7e2; Cursor \u4e0a\u7ebf GLM-5.3 \u4e0e GLM-5.3-Flash&#xff1a;GLM-5.3 \u5728 CursorBench 4.0 \u53d6\u5f97\u5f00\u653e\u6743\u91cd\u6a21\u578b\u6700\u9ad8\u5206 42.6%&#xff08;Max \u63a8\u7406\u6863&#xff09;\u3002<\/li>\n<li>&#x1f7e1; \u9ad8\u76db\u4e0a\u8c03\u8bc4\u7ea7&#xff08;10\/5 \u7814\u62a5&#xff09;&#xff1a;\u4e2d\u6027 \u2192 \u4e70\u5165&#xff0c;DCF 12 \u4e2a\u6708\u76ee\u6807\u4ef7 1560 \u6e2f\u5143&#xff1b;2026 \u5e74\u5e95 ARR \u9884\u6d4b 27 \u4ebf \u2192 32 \u4ebf\u7f8e\u5143&#xff08;\u9ad8\u4e8e\u516c\u53f8\u81ea\u8eab 30 \u4ebf\u6307\u5f15&#xff09;\u3002\u7406\u7531&#xff1a;\u5546\u4e1a\u5316\u8def\u5f84\u6e05\u6670\u3001\u63a8\u7406\u6bdb\u5229\u7387\u63d0\u5347\u3001Harness\/Co-Work \u4ea7\u54c1\u8fdb\u5c55\u3002<\/li>\n<li>&#x1f7e2; \u80a1\u4ef7&#xff1a;10\/5 \u6536 665 \u6e2f\u5143&#xff08;&#043;6.15%&#xff09;&#xff1b;10\/6 \u53d7 Bedrock \u6d88\u606f\u523a\u6fc0\u6536 715.5 \u6e2f\u5143&#xff08;&#043;7.59%&#xff09;&#xff0c;\u6210\u4ea4\u989d 25.05 \u4ebf\u6e2f\u5143&#xff0c;\u9886\u6da8\u6052\u751f\u79d1\u6280\u6210\u5206\u80a1&#xff1b;10\/7 \u968f\u677f\u5757\u56de\u843d\u8dcc\u8d85 2%\u3002<\/li>\n<li>&#x1f7e1; \u51fa\u6d77\u5206\u6210\u6a21\u5f0f&#xff08;10\/6\u300a\u79d1\u521b\u677f\u65e5\u62a5\u300b\u72ec\u5bb6&#xff09;&#xff1a;\u9664 AWS \u5916\u8fd1\u671f\u5df2\u4e0e\u591a\u5bb6\u6d77\u5916\u4e91\u5382\u5546\u843d\u5730\u5206\u6210&#xff1b;\u56fd\u5185\u5df2\u4e0e\u963f\u91cc\u4e91\u767e\u70bc\u7b7e\u7f72\u7c7b\u4f3c\u534f\u8bae&#xff0c;\u534e\u4e3a\u4e91\u5df2\u4e0a\u67b6 GLM-5.3\u3002\u8bb0\u8005\u72ec\u5bb6\u4fe1\u6e90&#xff0c;\u672a\u89c1\u5404\u65b9\u6b63\u5f0f\u516c\u544a\u3002<\/li>\n<li>&#x1f7e1; \u5b9a\u4ef7\u9875\u65b0\u589e GLM-5.3-FlashX \u6863&#xff08;10\/5&#xff09;&#xff1a;$0.37 \u8f93\u5165 \/ $1.25 \u8f93\u51fa\u3002\u7b2c\u4e09\u65b9\u5feb\u7167\u6bd4\u5bf9\u53d1\u73b0&#xff0c;\u672a\u89c1\u5b98\u65b9\u516c\u544a\u3002<\/li>\n<li>&#x1f534; GLM-5.5 \/ GLM-6 \u4f20\u95fb\u9700\u9ad8\u5ea6\u8b66\u60d5&#xff1a;\u9ad8\u76db\u7814\u62a5\u63d0\u5230&#034;\u5373\u5c06\u63a8\u51fa\u7684 GLM-5.5 \u53ca GLM-6&#034;&#xff0c;\u4f46\u7b2c\u4e09\u65b9\u6838\u67e5\u79f0 GLM-5.5 \u6ca1\u6709\u6a21\u578b\u5361\u3001\u6ca1\u6709 API ID\u3001\u6ca1\u6709\u5b9a\u4ef7\u884c\u3001\u6ca1\u6709\u6743\u91cd\u3001\u6ca1\u6709\u8bb8\u53ef\u8bc1&#xff0c;Z.ai \u5b98\u7f51\u5e76\u672a\u4f7f\u7528\u8be5\u540d\u79f0\u3002\u76f8\u5173\u53c2\u6570\u4e0e\u53d1\u5e03\u65e5\u671f\u5747\u4e3a\u4f20\u95fb\u3002<\/li>\n<li>\u672c\u5468\u6682\u65e0&#xff1a;\u65b0\u57fa\u5ea7\u6a21\u578b\u53d1\u5e03\u3001\u5b98\u65b9\u65b0\u8bba\u6587\u3001\u9ad8\u7ba1\u516c\u5f00\u53d1\u8a00\u3002<\/li>\n<\/ul>\n<hr \/>\n<h4>&#x1f7e1; MiniMax<\/h4>\n<ul>\n<li>&#x1f7e2; M Plan \u627f\u63a5\u5e76\u66ff\u6362 Token Plan&#xff08;9\/29 \u516c\u5e03&#xff0c;10\/1 \u96f6\u70b9\u751f\u6548&#xff09;\u2014\u2014\u672c\u5468\u6700\u5927\u52a8\u4f5c&#xff0c;\u6863\u4f4d\u5982\u4e0b&#xff1a;<\/li>\n<\/ul>\n<table>\n<tr>\u6863\u4f4d\u6708\u4ed8\u5e74\u4ed8\u5305\u542b<\/tr>\n<tbody>\n<tr>\n<td>Go<\/td>\n<td>$22 \/ 49 \u5143<\/td>\n<td>$220<\/td>\n<td>M3.1-Flash-Preview &#043; \u56fe\u50cf\u3001\u97f3\u9891<\/td>\n<\/tr>\n<tr>\n<td>Explore<\/td>\n<td>$55 \/ 119 \u5143<\/td>\n<td>$550<\/td>\n<td>Go \u5168\u90e8 &#043; H3 \u89c6\u9891\u6a21\u578b<\/td>\n<\/tr>\n<tr>\n<td>Build<\/td>\n<td>$132 \/ 469 \u5143<\/td>\n<td>$1320<\/td>\n<td>Explore \u5168\u90e8&#xff0c;\u989d\u5ea6\u6700\u5927<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u6838\u5fc3\u53d8\u5316&#xff1a;\u4ef7\u683c\u4e0e\u65e7 Token Plan \u6301\u5e73&#xff08;\u201c\u6539\u540d\u4e0d\u6da8\u4ef7\u201d&#xff09;&#xff0c;\u4f46\u5c06\u9ad8\u6210\u672c\u7684\u89c6\u9891\u6a21\u578b H3 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\u547d\u540d\u5bb6\u65cf\u3002<\/li>\n<li>\u672c\u5468\u6682\u65e0&#xff1a;\u65b0\u65d7\u8230\u8bed\u8a00\u6a21\u578b\u53d1\u5e03\u3001\u5b98\u65b9\u4ef7\u683c\u8c03\u6574\u3001\u9a6c\u5316\u817e\u6216\u9ad8\u7ba1 AI \u4e3b\u9898\u65b0\u8868\u6001\u3002<br \/>\n\u26a0\ufe0f \u91cd\u8981\u6f84\u6e05&#xff1a;10 \u6708 7 \u65e5\u51fa\u73b0\u7684&#034;\u817e\u8baf\u5b98\u5ba3 Hy3 \u6b63\u5f0f\u5f00\u6e90&#034;\u4e2d\u6587\u7a3f\u4ef6&#xff0c;\u7ecf\u6838\u5bf9\u4e3a7 \u6708\u65e7\u95fb\u7684\u5185\u5bb9\u519c\u573a\u91cd\u53d1&#xff0c;\u4e0d\u662f\u672c\u5468\u4e8b\u4ef6\u3002<\/li>\n<\/ul>\n<hr \/>\n<h4>\u26ab \u5b57\u8282\u8df3\u52a8&#xff08;\u8c46\u5305 \/ Seed&#xff09;<\/h4>\n<ul>\n<li>&#x1f7e2; \u8c46\u5305 App \u767b\u9646\u534e\u4e3a\u9e3f\u8499\u7535\u8111\u7aef&#xff08;10\/7&#xff09;\u2014\u2014\u672c\u5468\u6700\u5b9e\u8d28\u7684\u4ea7\u54c1\u52a8\u4f5c&#xff1a;\u9996\u7248\u672c\u642d\u8f7d\u8c46\u5305 2.1 Turbo \u4e0e 2.1 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\u7b2c\u4e09\u65b9\u5c65\u7ea6&#034;&#xff1a;\u6253\u8f66\u63a5\u66f9\u64cd\u51fa\u884c&#xff0c;\u5730\u56fe\u6570\u636e\u6765\u81ea\u767e\u5ea6\u5730\u56fe&#xff0c;\u673a\u7968\u706b\u8f66\u7968\u7531\u822a\u73ed\u7ba1\u5bb6\u3001\u9ad8\u94c1\u7ba1\u5bb6\u63d0\u4f9b\u3002<\/li>\n<li>&#x1f7e1; PISA: Pyramid Sparse Attention&#xff08;10\/7 \u4e2d\u6587\u89e3\u8bfb&#xff09;&#xff1a;\u5b57\u8282 Seed &#043; \u4e0a\u6d77\u4ea4\u5927\u3002\u6784\u5efa\u4ece\u7c97\u5230\u7ec6\u7684\u91d1\u5b57\u5854\u5f0f\u952e\u5757\u5c42\u7ea7&#xff0c;\u5c06\u8bad\u7ec3\/prefill \u590d\u6742\u5ea6\u964d\u81f3 O(N log N)\u3002\u62a5\u9053\u6570\u636e&#xff1a;2.67B \u6a21\u578b\u5728 RULER \u4e0a\u5e73\u5747 62.80&#xff08;\u5e38\u89c4 BSA \u4e3a 54.99&#xff09;&#xff1b;64K \u4ee5\u4e0a\u8d85\u957f\u5e8f\u5217\u9009\u5757\u901f\u5ea6\u8f83 BSA \u5feb 2.86\u20139.95 \u500d\u3002<\/li>\n<li>&#x1f7e1; \u4e2a\u4eba Agent \u72ec\u7acb App&#034;\u5c0f\u8c46&#034;\u66dd\u5149&#xff08;10\/2 \u6f8e\u6e43&#xff09;&#xff1a;\u5185\u90e8\u4ee3\u53f7&#034;Spell&#034;&#xff0c;\u76ee\u524d\u5185\u90e8\u7070\u5ea6\u6d4b\u8bd5&#xff0c;\u5b98\u65b9\u672a\u516c\u5e03\u4e0a\u7ebf\u65f6\u95f4\u3002<\/li>\n<li>&#x1f7e1; \u8c46\u5305\u667a\u80fd\u4f53\u6570\u636e 10\/15 \u6e05\u7a7a\u5012\u8ba1\u65f6&#xff1a;\u5b98\u65b9\u901a\u77e5\u5199\u660e 2026 \u5e74 10 \u6708 15 \u65e5\u540e\u6309\u9690\u79c1\u653f\u7b56\u5904\u7406\u667a\u80fd\u4f53\u76f8\u5173\u6570\u636e&#xff0c;\u5c4a\u65f6\u65e0\u6cd5\u67e5\u770b\u6216\u6062\u590d&#xff0c;\u5b98\u65b9\u4ec5\u63d0\u4f9b&#034;\u622a\u56fe\u6216\u5206\u4eab\u5bfc\u51fa\u6587\u672c&#034;\u7684\u5907\u4efd\u65b9\u6848\u3002<\/li>\n<li>&#x1f7e1; \u751f\u6001\u6570\u636e&#xff08;\u5a92\u4f53\u5f15\u7528 QuestMobile \u534a\u5e74\u62a5&#xff09;&#xff1a;\u8c46\u5305\u6708\u6d3b 3.82 \u4ebf\u5c45\u9996&#xff0c;\u5343\u95ee 1.67 \u4ebf\u3001DeepSeek 1.30 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CEO&#xff1b;\u7a0b\u4e00\u7b11\u517c\u4efb\u793e\u533a\u79d1\u5b66\u7ebf\u8d1f\u8d23\u4eba\u3002<\/li>\n<li>\u672c\u5468\u6682\u65e0&#xff1a;\u5b98\u65b9\u65b0\u8bba\u6587\u3001\u7a0b\u4e00\u7b11\u672c\u5468\u8868\u6001\u3002<\/li>\n<\/ul>\n<hr \/>\n<h4>&#x1f7e3; \u963f\u91cc\u901a\u4e49\u5343\u95ee&#xff08;Qwen&#xff09;<\/h4>\n<ul>\n<li>&#x1f7e2; Qwen-Image-2.1-Pro \u4e0a\u7ebf\u767e\u70bc&#xff08;10\/2&#xff09;\u2014\u2014\u672c\u5468\u552f\u4e00\u5b98\u65b9\u786e\u8ba4\u7684\u65b0\u6a21\u578b&#xff1a;\u7edf\u4e00\u6587\u751f\u56fe &#043; \u56fe\u50cf\u7f16\u8f91&#xff0c;\u89c6\u89c9\u751f\u6210\u7ec4\u4ef6\u4ec5 70 \u4ebf\u53c2\u6570&#xff08;32 \u5c42\u5355\u6d41 DiT&#xff09;\u3002\u56db\u9879\u6539\u8fdb&#xff1a;\u8f7b\u91cf\u67b6\u6784 &#043; \u6df7\u5408\u7c92\u5ea6\u6ce8\u610f\u529b &#043; \u524d\u7f00 KV \u7f13\u5b58\u590d\u7528&#xff1b;\u539f\u751f\u900f\u660e\u901a\u9053&#xff08;RGBA&#xff09;&#xff1b;\u6700\u591a 10 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\u5206\u5185&#xff0c;\u4e0d\u6784\u6210\u53ef\u9760\u6392\u5e8f&#xff09;\u3002<\/li>\n<li>\u672c\u5468\u6682\u65e0&#xff1a;\u5b98\u65b9\u65b0\u8bba\u6587\u3001\u5434\u6cf3\u94ed\/\u8521\u5d07\u4fe1\u65b0\u8868\u6001&#xff08;\u88ab\u5927\u91cf\u5f15\u7528\u7684\u5747\u4e3a 9\/22 \u4e91\u6816\u5927\u4f1a\u5185\u5bb9&#xff09;\u3002<br \/>\n\u26a0\ufe0f &#034;\u4f2a\u672c\u5468\u65b0\u95fb&#034;\u63d0\u793a&#xff1a;\u591a\u7bc7\u81ea\u5a92\u4f53\u79f0&#034;\u963f\u91cc\u5343\u95ee\u5f00\u6e90 Qwen3.8&#034;\u2014\u2014\u5b9e\u9645\u5f00\u6e90\u65f6\u95f4\u4e3a 8 \u6708 12 \u65e5\/14 \u65e5\/26 \u65e5&#xff0c;\u5c5e\u65e7\u95fb\u7ffb\u7092\u3002\u4e91\u6816\u5927\u4f1a\u5185\u5bb9&#xff08;\u771f\u6b66 V900\u3001Qwen4 \u8bad\u7ec3\u4e2d\u30015\u201310T \u53c2\u6570\u8ba1\u5212&#xff09;\u5747\u4e3a 9 \u6708 22 \u65e5\u4e8b\u4ef6\u3002<\/li>\n<\/ul>\n<hr \/>\n<h4>\u26aa \u5c0f\u7c73 MiMo<\/h4>\n<ul>\n<li>&#x1f7e2; MiMo-V2.6 \u767b\u9646 Agent Arena \u699c\u5355&#xff08;10\/1&#xff09;&#xff1a;\u57fa\u4e8e 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\u5c0f\u7c73\u672a\u5c31\u6b64\u6b21\u664b\u5347\u53d1\u5e03\u5b98\u65b9\u516c\u544a&#xff0c;\u5c5e\u5a92\u4f53\/\u77e5\u60c5\u4eba\u58eb\u6d88\u606f\u3002<\/li>\n<li>&#x1f7e2; \u6f8e\u6e43 OS 4 \u6b63\u5f0f\u7248\u9996\u6279\u5b58\u91cf\u673a\u578b\u63a8\u9001\u81ea 10 \u6708 15 \u65e5\u5f00\u542f&#xff1a;\u4f18\u5148\u5c0f\u7c73 17 \u7cfb\u5217\u3001K100 Pro\u3001K90 \u7cfb\u5217\u3001\u5e73\u677f 8 \u7cfb\u5217\u3002\u8d85\u7ea7\u5c0f\u7231 2.0 \u642d\u8f7d MiMo \u7aef\u4fa7\u5927\u6a21\u578b&#xff0c;\u6838\u5fc3\u4e3a&#034;\u4e13\u5bb6\u6a21\u5f0f&#034;&#043;\u201c\u7075\u611f\u7403\u201d\u3002<\/li>\n<li>\u672c\u5468\u6682\u65e0&#xff1a;\u5b98\u65b9\u65b0\u8bba\u6587\u3001\u96f7\u519b AI \u4e3b\u9898\u8868\u6001&#xff08;\u672c\u5468\u516c\u5f00\u52a8\u4f5c\u5747\u4e3a\u624b\u673a\/\u6c7d\u8f66\u8bdd\u9898&#xff09;\u3002<\/li>\n<\/ul>\n<hr \/>\n<h3>\u56db\u3001\u672c\u5468 arXiv \u89c2\u5bdf<\/h3>\n<p>\u4ee5 10 \u6708 6 \u65e5\u4e3a\u6700\u65b0\u63d0\u4ea4\u65e5&#xff0c;\u672c\u5468\u503c\u5f97\u6ce8\u610f\u7684\u65b9\u5411&#xff1a;<\/p>\n<ul>\n<li>Agent \u5b89\u5168 \u663e\u8457\u5347\u6e29&#xff1a;AdvSim2Real: Training Web Agents Against Adaptive Prompt Injection in a Web World Model&#xff08;cs.CL\/cs.LG \u53cc\u5217&#xff09;\u76f4\u63a5\u9488\u5bf9\u7f51\u9875\u667a\u80fd\u4f53\u7684\u81ea\u9002\u5e94\u63d0\u793a\u6ce8\u5165\u653b\u51fb\u8bad\u7ec3\u9632\u5fa1\u2014\u2014\u4e0e\u672c\u5468 OpenAI \u5411 100&#043; \u673a\u6784\u53d1\u9884\u8b66\u7684\u73b0\u5b9e\u4e8b\u4ef6\u5f62\u6210\u547c\u5e94\u3002<\/li>\n<li>\u8bc4\u6d4b\u65b9\u6cd5\u8bba \u51fa\u73b0\u53cd\u601d&#xff1a;Holdout Best-of-N: Unbiased Evaluation and Its Cost\u3001Agreement Is Not Validity: Cross-Model LLM Consensus&#xff08;\u63d0\u9192&#034;\u591a\u6a21\u578b\u4e00\u81f4\u6027 \u2260 \u6709\u6548\u6027&#034;&#xff09;\u3002<\/li>\n<li>\u6269\u6563\u8bed\u8a00\u6a21\u578b \u6301\u7eed\u63a8\u8fdb&#xff1a;Denoising Hierarchical Representations: Joint Continuous Diffusion for Language Modeling\u2014\u2014\u4e0e\u5b57\u8282 Seed Diffusion\u3001Google DiffusionGemma \u6784\u6210\u540c\u4e00\u6761\u6280\u672f\u7ebf\u3002<\/li>\n<li>\u56fd\u5185\u5382\u5546\u7f72\u540d\u8bba\u6587&#xff1a;\u817e\u8baf\u6df7\u5143 3 \u7bc7&#xff08;Prism\u3001WorkForge\u3001MC-Sparse&#xff09;\u3001\u5b57\u8282 Seed \u7684 PISA \u89e3\u8bfb\u53d1\u5e03&#xff1b;VISTA&#xff08;\u4f55\u607a\u660e\/MIT &#043; DeepMind&#xff09;\u5728\u89c6\u89c9\u4ea4\u4e92\u63a8\u7406\u4e0a\u53d6\u5f97 ARC-AGI-3 \u7684\u8df3\u8dc3\u5f0f\u6210\u7ee9\u3002<\/li>\n<\/ul>\n<hr \/>\n<h3>\u4e94\u3001\u4e0b\u5468\u5173\u6ce8<\/h3>\n<table>\n<tr>\u4e8b\u9879\u65f6\u95f4\u5173\u6ce8\u70b9<\/tr>\n<tbody>\n<tr>\n<td>Google \u8ba2\u9605\u5206\u5c42\u65b0\u89c4\u751f\u6548<\/td>\n<td>10\/9<\/td>\n<td>\u514d\u8d39\u6863\u7f29\u81f3 Flash-Lite \u540e\u7684\u7528\u6237\u53cd\u5f39<\/td>\n<\/tr>\n<tr>\n<td>Anthropic 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