{"id":15129,"date":"2026-09-21T05:21:28","date_gmt":"2026-09-21T05:21:28","guid":{"rendered":"https:\/\/nxhdyxdsj.com\/?p=15129"},"modified":"2026-09-21T05:21:28","modified_gmt":"2026-09-21T05:21:28","slug":"figure-ai-%e5%ae%a3%e7%a7%b0%e6%89%be%e5%88%b0%e4%ba%86%e6%9c%ba%e5%99%a8%e4%ba%ba%e7%89%88-scaling-law%ef%bc%8c%e5%90%8c%e8%a1%8c%e5%8d%b4%e8%af%b4%e5%ae%83%e5%85%b6%e5%ae%9e%e6%a0%b9%e6%9c%ac","status":"publish","type":"post","link":"https:\/\/nxhdyxdsj.com\/?p=15129","title":{"rendered":"Figure AI \u5ba3\u79f0\u627e\u5230\u4e86\u673a\u5668\u4eba\u7248 scaling law\uff0c\u540c\u884c\u5374\u8bf4\u5b83\u5176\u5b9e\u6839\u672c\u4e0d\u4f1a\u6cdb\u5316"},"content":{"rendered":"

<\/p>\n

\n
\n
\"\"\/<\/section>\n
\u4f5c\u8005\uff5cLi Yuan<\/section>\n<\/section>\n

390 \u4ebf\u7f8e\u5143\u7684 Figure AI \u5df2\u7ecf\u628a\u673a\u5668\u4eba\u9001\u8fdb 30 \u4e2a\u964c\u751f\u5bb6\u5ead\uff0c\u540c\u884c\u5374\u8bf4\u5931\u8d25\u4e00\u534a\u8fd8\u8c08\u4e0d\u4e0a\u4f1a\u5e72\u6d3b<\/p>\n

\u300c\u8fd9\u662f Figure AI \u6210\u7acb\u4ee5\u6765\u6700\u91cd\u8981\u7684\u9879\u76ee\u3002\u300d<\/p>\n

\u5728 Helix 2.5 \u7684\u53d1\u5e03\u89c6\u9891\u91cc\uff0cFigure AI \u521b\u59cb\u4eba Brett Adcock \u628a\u8bdd\u8bf4\u5f97\u5f88\u6ee1\u3002<\/p>\n

Figure AI \u76ee\u524d\u4f30\u503c\u8fbe\u5230 390 \u4ebf\u7f8e\u5143\uff0c\u662f\u5168\u7403\u6700\u8d35\u7684\u672a\u4e0a\u5e02\u4eba\u5f62\u673a\u5668\u4eba\u516c\u53f8\uff0c\u81f4\u529b\u4e8e\u4ee5\u4eba\u5f62\u5b8c\u6210\u4eba\u7c7b\u7684\u65e5\u5e38\u4efb\u52a1\u3002<\/p>\n

\u8fc7\u53bb\u51e0\u4ee3 Helix \u7684\u53d1\u5e03\u90fd\u7559\u4e0b\u4e86\u9887\u6709\u8bb0\u5fc6\u70b9\u7684\u753b\u9762\uff1a\u4e24\u53f0\u673a\u5668\u4eba\u5408\u4f5c\u62c9\u5e73\u88ab\u5b50\uff0c\u6216\u8005\u5728\u817e\u4e0d\u51fa\u624b\u65f6\u7528\u5c41\u80a1\u9876\u4e0a\u6d17\u7897\u673a\u3002\u4e0d\u8fc7\uff0c\u6b64\u524d\u7684 Helix \u867d\u7136\u5df2\u7ecf\u80fd\u591f\u81ea\u4e3b\u5de5\u4f5c\uff0c\u6536\u83b7\u7684\u6700\u5927\u8bdf\u75c5\u4e4b\u4e00\u5c31\u662f\uff0c\u6bcf\u6b21\u7684 demo\uff0c\u603b\u5728\u4e00\u4e2a\u5149\u7ebf\u826f\u597d\u7684\u6837\u677f\u95f4\u5de5\u4f5c\u3002<\/p>\n

Helix 2.5 \u6b64\u6b21\u60f3\u8de8\u8fc7\u8fd9\u4e00\u6b65\u3002Figure AI \u5728\u65e7\u91d1\u5c71\u6e7e\u533a\u79df\u4e0b 30 \u5957\u4f4f\u5b85\uff0c\u5c06\u673a\u5668\u4eba\u76f4\u63a5\u8fd0\u5230\u73b0\u573a\uff0c\u8ba9\u5b83\u6574\u7406\u5ba2\u5385\u3001\u94fa\u5e8a\u548c\u6298\u53e0\u6bdb\u5dfe\u3002<\/p>\n

\u4e0d\u5f97\u4e0d\u8bf4\uff0c\u770b\u5b8c\u89c6\u9891\uff0c\u7b14\u8005\u611f\u89c9\u8fd9\u4ecd\u7136\u5f88\u50cf 30 \u4e2a\u5149\u7ebf\u826f\u597d\u7684\u6837\u677f\u95f4\u3002<\/p>\n

\u4f46\u4ecd\u7136\u662f\u4e00\u4e2a\u5f88\u5389\u5bb3\u7684\u8fdb\u6b65\uff0cFigure AI \u79f0\uff0c\u6ca1\u6709\u9488\u5bf9\u8fd9\u4e9b\u4f4f\u5b85\u548c\u7269\u54c1\u8fdb\u884c\u4efb\u4f55\u8bad\u7ec3\u6216\u9002\u914d\uff0c30 \u5957\u4f4f\u5b85\u91cc\u90fd\u51fa\u73b0\u4e86\u6210\u529f\u6848\u4f8b\u3002<\/p>\n

\"\"\/<\/section>\n

\u300cHelix 2.5 \u8981\u5728\u4e00\u5957\u4ece\u672a\u8fdb\u5165\u8fc7\u7684\u623f\u5b50\u91cc\uff0c\u6298\u53e0\u5b83\u4ece\u672a\u89c1\u8fc7\u7684\u6bdb\u5dfe\u3002\u300dBrett \u8868\u793a\u3002<\/p>\n

\u5728 Figure AI \u7684\u8bb2\u8ff0\u91cc\uff0c\u673a\u5668\u4eba\u9886\u57df\u957f\u671f\u8ffd\u9010\u7684\u6cdb\u5316\u80fd\u529b\u7ec8\u4e8e\u5f00\u59cb\u51fa\u73b0\u4e86\uff1a\u673a\u5668\u4eba\u4e0d\u518d\u53ea\u4f1a\u91cd\u590d\u67d0\u4e2a\u5b9e\u9a8c\u5ba4\u91cc\u5b66\u8fc7\u7684\u52a8\u4f5c\uff0c\u800c\u662f\u80fd\u628a\u6b64\u524d\u79ef\u7d2f\u7684\u7ecf\u9a8c\u5e26\u5230\u4e00\u4e2a\u964c\u751f\u5730\u65b9\u3002<\/p>\n

\u968f\u540e\uff0cFigure AI \u5728 Helix 2.5 \u7684\u6280\u672f\u535a\u5ba2\u91cc\u516c\u5e03\u4e86\u5b8c\u6574\u6d4b\u8bd5\u6570\u636e\u3002420 \u6b21\u6d4b\u8bd5\uff0c\u6210\u529f 237 \u6b21\u3002\u5b8c\u6574\u4efb\u52a1\u6210\u529f\u7387\u4e3a 56%\u3002<\/p>\n

\u4e0d\u8fc7\uff0c\u6709\u8da3\u7684\u662f\uff0c\u4e00\u79cd\u8fc7\u5f80\u5728\u673a\u5668\u4eba\u884c\u4e1a\u76f8\u5f53\u5c11\u89c1\u7684\u60c5\u51b5\u51fa\u73b0\u4e86\uff1a\u540c\u884c\u6ca1\u6709\u50cf\u5f80\u5e38\u4e00\u6837\u7559\u4e0b\u4e00\u53e5\u300c\u4e86\u4e0d\u8d77\u7684\u5de5\u4f5c\u300d\uff0c\u518d\u56de\u81ea\u5df1\u7684\u5b9e\u9a8c\u5ba4\u6697\u6697\u8f83\u52b2\u3002<\/p>\n

Sunday Robotics \u8054\u5408\u521b\u59cb\u4eba Tony Zhao \u76f4\u63a5\u6307\u51fa\uff0c237 \u6b21\u6210\u529f\u4e5f\u610f\u5473\u7740\u673a\u5668\u4eba\u63a5\u8fd1\u4e00\u534a\u65f6\u95f4\u4f1a\u5931\u8d25\u3002Stealth CEO Nikolai Ensslen \u7684\u8bf4\u6cd5\u66f4\u52a0\u5c16\u9510\uff1a\u8fd9\u7ec4\u6570\u636e\u6070\u6070\u8bc1\u660e\uff0cFigure AI \u4f7f\u7528\u7684\u6a21\u4eff\u5b66\u4e60\u7cfb\u7edf\u4e0d\u80fd\u6cdb\u5316\u3002<\/p>\n

Figure AI \u89c9\u5f97\u81ea\u5df1\u6478\u5230\u4e86\u673a\u5668\u4eba\u7248 scaling law\uff0c\u4e24\u4f4d\u540c\u884c\u770b\u5230\u7684\u5374\u662f\u4e00\u6761\u53ef\u80fd\u6839\u672c\u8d70\u4e0d\u901a\u7684\u8def\u7ebf\u3002<\/p>\n

\n
\n
\n
\n
\n
\"\"<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\u5411 zero-shot \u7684\u5723\u676f\u8fc8\u4e86\u4e00\u6b65<\/strong><\/strong><\/p>\n<\/section>\n

Figure AI \u65b0\u53d1\u5e03\u7684 Helix 2.5\uff0c\u9996\u5148\u6539\u53d8\u4e86 Helix \u5b66\u4e60\u4efb\u52a1\u7684\u65b9\u5f0f\u3002<\/p>\n

\u6b64\u524d\u7684 Helix 02 \u4ece\u4e00\u4e2a\u5df2\u7ecf\u5b8c\u6210\u9884\u8bad\u7ec3\u7684\u89c6\u89c9\u8bed\u8a00\u6a21\u578b\u51fa\u53d1\uff0c\u518d\u4f7f\u7528\u673a\u5668\u4eba\u6570\u636e\u5b66\u4e60\u52a8\u4f5c\u3002\u5b83\u867d\u7136\u53ef\u4ee5\u8fde\u7eed\u5b8c\u6210\u6d17\u7897\u3001\u7269\u6d41\u5206\u62e3\u7b49\u957f\u65f6\u7a0b\u4efb\u52a1\uff0c\u4f46\u8bad\u7ec3\u6570\u636e\u6765\u81ea\u673a\u5668\u4eba\u6700\u7ec8\u5de5\u4f5c\u7684\u73af\u5883\u3002\u673a\u5668\u4eba\u5b66\u4f1a\u7684\u662f\u5728\u8fd9\u4e2a\u53a8\u623f\u91cc\u6d17\u7897\u3001\u5728\u8fd9\u6761\u4ea7\u7ebf\u4e0a\u642c\u8fd0\uff1b\u6362\u4e00\u4e2a\u5730\u65b9\uff0c\u5f80\u5f80\u8fd8\u8981\u91cd\u65b0\u91c7\u96c6\u6570\u636e\u3002<\/p>\n

Helix 2.5 \u5219\u4ece\u968f\u673a\u521d\u59cb\u5316\u5f00\u59cb\uff0c\u5148\u5728 Figure AI \u7684\u4eba\u7c7b\u884c\u4e3a\u6570\u636e\u96c6 Index \u4e0a\u5b8c\u6210\u9884\u8bad\u7ec3\uff0c\u518d\u4f7f\u7528\u4efb\u52a1\u6570\u636e\u5206\u522b\u9002\u914d\u6574\u7406\u73a9\u5177\u3001\u6298\u53e0\u6bdb\u5dfe\u548c\u94fa\u5e8a\u4e09\u79cd\u884c\u4e3a\u3002<\/p>\n

\u5b8c\u6210\u8bad\u7ec3\u540e\uff0cFigure AI \u628a\u673a\u5668\u4eba\u8fd0\u8fdb\u65e7\u91d1\u5c71\u6e7e\u533a 30 \u5957\u4f4f\u5b85\u3002\u56e2\u961f\u6b64\u524d\u6ca1\u6709\u8fdb\u5165\u8fd9\u4e9b\u4f4f\u5b85\u91c7\u96c6\u673a\u5668\u4eba\u6570\u636e\uff0c\u4e5f\u6ca1\u6709\u9488\u5bf9\u91cc\u9762\u7684\u5e8a\u3001\u6795\u5934\u3001\u6bdb\u5dfe\u548c\u73a9\u5177\u8fdb\u884c\u5fae\u8c03\u3002\u6bcf\u79cd\u884c\u4e3a\u90fd\u4f7f\u7528\u540c\u4e00\u4e2a\u56fa\u5b9a\u7248\u672c\u5b8c\u6210\u6d4b\u8bd5\uff0c\u4e2d\u9014\u4e0d\u4f1a\u6839\u636e\u5177\u4f53\u4f4f\u5b85\u91cd\u65b0\u8bad\u7ec3\u3002<\/p>\n

\u8fd9\u5c31\u662f Figure AI \u6b64\u6b21\u6240\u8bf4\u7684 zero-shot\uff1a\u5b83\u4e0d\u662f\u53ea\u542c\u5230\u4e00\u53e5\u81ea\u7136\u8bed\u8a00\u6307\u4ee4\uff0c\u4fbf\u81ea\u5df1\u60f3\u51fa\u4e86\u94fa\u5e8a\u7684\u65b9\u6cd5\u3002Figure AI \u4ecd\u7136\u4e3a\u4e09\u9879\u4efb\u52a1\u63d0\u4f9b\u4e86\u4e13\u95e8\u7684\u8bad\u7ec3\u6570\u636e\u3002Helix 2.5 \u6ca1\u89c1\u8fc7\u7684\u662f\u6d4b\u8bd5\u4f4f\u5b85\u3001\u623f\u95f4\u5e03\u5c40\u4ee5\u53ca\u5176\u4e2d\u4f7f\u7528\u7684\u5177\u4f53\u7269\u54c1\u3002<\/strong><\/p>\n

\u8fd9\u4e2a\u8fb9\u754c\u5e76\u4e0d\u5f71\u54cd\u5b9e\u9a8c\u7684\u610f\u4e49\u3002\u5bb6\u5ead\u5f88\u96be\u50cf\u5de5\u5382\u4e00\u6837\u88ab\u6539\u9020\u6210\u5b8c\u5168\u4e00\u81f4\u7684\u73af\u5883\u3002\u5e8a\u7684\u9ad8\u5ea6\u3001\u6bdb\u5dfe\u7684\u6750\u8d28\u3001\u73a9\u5177\u6563\u843d\u7684\u4f4d\u7f6e\u4e43\u81f3\u673a\u5668\u4eba\u80fd\u591f\u843d\u811a\u7684\u7a7a\u95f4\uff0c\u5230\u4e86\u4e0b\u4e00\u5957\u623f\u5b50\u91cc\u90fd\u4f1a\u53d1\u751f\u53d8\u5316\u3002\u5bb6\u7528\u673a\u5668\u4eba\u5982\u679c\u6bcf\u6b21\u4e0a\u95e8\u90fd\u8981\u5148\u91c7\u96c6\u6570\u636e\u3001\u91cd\u65b0\u8bad\u7ec3\uff0c\u5c31\u5f88\u96be\u6210\u4e3a\u4e00\u4ef6\u53ef\u4ee5\u76f4\u63a5\u4ea4\u4ed8\u7684\u4ea7\u54c1\u3002<\/p>\n

Figure AI \u4e3a\u4e09\u9879\u4efb\u52a1\u5404\u8fdb\u884c\u4e86 140 \u6b21\u6d4b\u8bd5\u3002<\/p>\n

\u6574\u7406\u5ba2\u5385\u65f6\uff0c\u673a\u5668\u4eba\u5fc5\u987b\u628a\u5168\u90e8 13 \u81f3 15 \u4ef6\u73a9\u5177\u653e\u8fdb\u7bee\u5b50\uff1b\u6298\u53e0\u6bdb\u5dfe\u65f6\uff0c\u56db\u6761\u6bdb\u5dfe\u5fc5\u987b\u5168\u90e8\u6298\u597d\u5e76\u653e\u8fdb\u7bee\u5b50\uff1b\u94fa\u5e8a\u5219\u9700\u8981\u6ee1\u8db3\u6795\u5934\u4f4d\u7f6e\u3001\u88ab\u5b50\u65b9\u5411\u548c\u5e8a\u9762\u8986\u76d6\u7b49\u8981\u6c42\u3002\u53ea\u8981\u9700\u8981\u4eba\u5de5\u8fdb\u884c\u5b89\u5168\u5e72\u9884\uff0c\u6216\u8005\u8d85\u8fc7\u89c4\u5b9a\u65f6\u95f4\uff0c\u5c31\u4f1a\u88ab\u8bb0\u4e3a\u5931\u8d25\u3002<\/p>\n

\u94fa\u5e8a\u6210\u529f 94 \u6b21\uff0c\u6210\u529f\u7387\u7ea6\u4e3a 67%\uff1b\u6298\u53e0\u6bdb\u5dfe\u6210\u529f 87 \u6b21\uff0c\u6210\u529f\u7387\u7ea6\u4e3a 62%\uff1b\u6574\u7406\u73a9\u5177\u6210\u529f 56 \u6b21\uff0c\u6210\u529f\u7387\u4e3a 40%\u3002\u4e09\u9879\u4efb\u52a1\u5408\u8ba1\u5b8c\u6210 237 \u6b21\uff0c\u5b8c\u6574\u4efb\u52a1\u6210\u529f\u7387\u4e3a 56%\u3002<\/p>\n

\"\"\/<\/p>\n

\u6d4b\u8bd5\u4e2d\uff0cHelix 2.5 \u8fd8\u8868\u73b0\u51fa\u4e86\u4e00\u4e9b\u5168\u8eab\u7ea0\u9519\u52a8\u4f5c\u3002\u673a\u5668\u4eba\u53d1\u73b0\u64cd\u4f5c\u4f4d\u7f6e\u4e0d\u5408\u9002\u65f6\uff0c\u4f1a\u540e\u9000\u5e76\u91cd\u65b0\u8c03\u6574\u7ad9\u59ff\uff1b\u5904\u7406\u5e8a\u94fa\u65f6\uff0c\u4e5f\u4f1a\u79fb\u52a8\u5230\u53e6\u4e00\u4fa7\u7ee7\u7eed\u5b8c\u6210\u4efb\u52a1\u3002\u5b83\u4e0d\u53ea\u662f\u673a\u68b0\u5730\u64ad\u653e\u4e00\u6761\u9884\u5148\u5f55\u597d\u7684\u52a8\u4f5c\u8f68\u8ff9\uff0c\u800c\u662f\u5728\u964c\u751f\u5e03\u5c40\u91cc\u5bfb\u627e\u7ee7\u7eed\u5b8c\u6210\u4efb\u52a1\u7684\u4f4d\u7f6e\u3002<\/p>\n

\u5728\u76f8\u540c\u6d4b\u8bd5\u4e2d\uff0c\u6ca1\u6709\u7ecf\u8fc7 Index \u9884\u8bad\u7ec3\u7684\u5bf9\u7167\u6a21\u578b\u53ea\u6210\u529f\u4e86\u7ea6 9%\uff1bHelix 2.5 \u7684\u6210\u529f\u7387\u5219\u8fbe\u5230 56%\u3002\u8fd9\u7ec4\u5bf9\u7167\u8ba9 Figure AI \u76f8\u4fe1\uff0c\u6765\u81ea\u4eba\u7c7b\u884c\u4e3a\u7684\u9884\u8bad\u7ec3\u5df2\u7ecf\u8ba9\u673a\u5668\u4eba\u83b7\u5f97\u4e86\u8de8\u4f4f\u5b85\u3001\u8de8\u7269\u54c1\u8fc1\u79fb\u7684\u80fd\u529b\u3002<\/p>\n

\u81f3\u4e8e\u8fd9\u79cd\u80fd\u529b\u80fd\u5426\u968f\u7740 Index \u6570\u636e\u589e\u52a0\u800c\u7ee7\u7eed\u7a33\u5b9a\u63d0\u5347\uff0cFigure AI \u5728\u6280\u672f\u535a\u5ba2\u91cc\u7ed9\u51fa\u4e86\u53e6\u4e00\u4e2a\u66f4\u5927\u80c6\u7684\u7b54\u6848\uff1a\u673a\u5668\u4eba\u4e5f\u5f00\u59cb\u51fa\u73b0 scaling law \u4e86\u3002<\/p>\n

\n
\n
\n
\n
\n
\"\"<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

Figure AI \u4e5f\u5f00\u59cb\u8bb2 scaling law \u4e86<\/strong><\/strong><\/p>\n<\/section>\n

\u5927\u8bed\u8a00\u6a21\u578b\u8ba9\u79d1\u6280\u516c\u53f8\u7740\u8ff7\u7684\uff0c\u4e0d\u53ea\u662f\u6a21\u578b\u8d8a\u6765\u8d8a\u806a\u660e\u3002<\/p>\n

\u66f4\u8bf1\u4eba\u7684\u5730\u65b9\u5728\u4e8e\uff0c\u5b83\u7684\u8fdb\u6b65\u5728\u5f88\u957f\u4e00\u6bb5\u65f6\u95f4\u91cc\u662f\u53ef\u4ee5\u9884\u6d4b\u7684\u3002\u589e\u52a0\u6570\u636e\u3001\u6a21\u578b\u53c2\u6570\u548c\u8ba1\u7b97\u91cf\uff0c\u8bad\u7ec3\u635f\u5931\u5c31\u4f1a\u6cbf\u7740\u4e00\u6761\u76f8\u5bf9\u7a33\u5b9a\u7684\u66f2\u7ebf\u4e0b\u964d\u3002\u516c\u53f8\u53ef\u4ee5\u5728\u5b8c\u6210\u6700\u5927\u89c4\u6a21\u8bad\u7ec3\u4e4b\u524d\uff0c\u4f30\u7b97\u4e0b\u4e00\u8f6e\u6295\u5165\u5927\u6982\u80fd\u591f\u6362\u6765\u591a\u5c11\u80fd\u529b\u3002<\/p>\n

\u8fd9\u8ba9\u4eba\u5de5\u667a\u80fd\u7814\u53d1\u4ece\u4e00\u6b21\u6b21\u4e0d\u786e\u5b9a\u7684\u5b9e\u9a8c\uff0c\u53d8\u6210\u4e86\u4e00\u9879\u53ef\u4ee5\u6301\u7eed\u8ffd\u52a0\u8d44\u672c\u7684\u5de5\u7a0b\u3002<\/p>\n

\u673a\u5668\u4eba\u4e00\u76f4\u6ca1\u6709\u8fd9\u4e48\u5e78\u8fd0\u3002<\/p>\n

\u673a\u5668\u4eba\u6570\u636e\u6602\u8d35\u3001\u89c4\u6a21\u5c0f\uff0c\u800c\u4e14\u6765\u81ea\u4e0d\u540c\u786c\u4ef6\u3001\u4efb\u52a1\u548c\u73af\u5883\u3002\u4e00\u5bb6\u516c\u53f8\u5373\u4f7f\u628a\u67d0\u4e2a\u4efb\u52a1\u7684\u6210\u529f\u7387\u505a\u5230\u5f88\u9ad8\uff0c\u4e5f\u5f88\u96be\u77e5\u9053\u518d\u589e\u52a0\u5341\u500d\u6570\u636e\u540e\uff0c\u5176\u4ed6\u4efb\u52a1\u4f1a\u4e0d\u4f1a\u4e00\u8d77\u53d8\u597d\u3002\u5f88\u591a\u673a\u5668\u4eba\u80fd\u529b\u66f4\u50cf\u624b\u5de5\u4f5c\u54c1\uff1a\u5b8c\u6210\u4e00\u6b21\u6f14\u793a\uff0c\u518d\u6362\u4e00\u4e2a\u573a\u666f\u91cd\u65b0\u89e3\u51b3\u4e00\u6b21\u3002<\/p>\n

Helix 2.5 \u7684\u6280\u672f\u535a\u5ba2\u91cc\uff0cFigure AI \u7b2c\u4e00\u6b21\u660e\u786e\u5ba3\u79f0\uff0c\u5b83\u4e5f\u770b\u5230\u4e86\u7c7b\u4f3c\u7684 scaling law\u3002Figure AI \u5c06\u5176\u79f0\u4e3a\u7b2c\u4e00\u6761\u5728\u4eba\u5f62\u673a\u5668\u4eba\u4e0a\u6d4b\u5f97\u7684\u300c\u4eba\u7c7b\u5230\u673a\u5668\u4eba\u8fc1\u79fb scaling law\u300d\u3002<\/strong><\/p>\n

\u6b64\u524d\uff0c\u628a scaling law \u5f53\u6210\u516c\u53f8\u6838\u5fc3\u53d9\u4e8b\u7684\u673a\u5668\u4eba\u521b\u4e1a\u516c\u53f8\u4e3b\u8981\u662f Generalist\u3002\u5b83\u5728 2025 \u5e74\u53d1\u5e03 GEN-0 \u65f6\uff0c\u5c55\u793a\u4e86\u9884\u8bad\u7ec3\u6570\u636e\u3001\u6a21\u578b\u89c4\u6a21\u548c\u8bad\u7ec3\u8ba1\u7b97\u91cf\u4e0e\u4e0b\u6e38\u8868\u73b0\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u5e76\u5ba3\u79f0\u673a\u5668\u4eba\u4e5f\u8fdb\u5165\u4e86\u7c7b\u4f3c\u5927\u8bed\u8a00\u6a21\u578b\u7684\u9884\u8bad\u7ec3\u65f6\u4ee3\u3002\u6b64\u540e\u7684 GEN-1 \u548c GEN-1.5\uff0c\u7ee7\u7eed\u56f4\u7ed5\u6269\u5927\u6570\u636e\u548c\u6a21\u578b\u89c4\u6a21\u5c55\u5f00\u3002<\/p>\n

Figure AI \u73b0\u5728\u4e5f\u52a0\u5165\u4e86\u8fd9\u5957\u53d9\u4e8b\u3002<\/p>\n

\u516c\u53f8\u7528\u56db\u4e2a\u4e0d\u540c\u89c4\u6a21\u7684 Index \u6570\u636e\u96c6\u8bad\u7ec3\u6a21\u578b\uff0c\u6570\u636e\u91cf\u4f9d\u6b21\u4e3a 1 \u500d\u30012 \u500d\u30014 \u500d \u548c 8 \u500d\u3002\u5b9e\u9a8c\u56fa\u5b9a\u4e86\u6a21\u578b\u5927\u5c0f\u3001\u4e0b\u6e38\u4efb\u52a1\u6570\u636e\u548c\u8bc4\u4f30\u65b9\u6cd5\uff0c\u53ea\u589e\u52a0\u4eba\u7c7b\u884c\u4e3a\u9884\u8bad\u7ec3\u6570\u636e\u3002<\/p>\n

\"\"\/<\/p>\n

\u6570\u636e\u91cf\u6bcf\u7ffb\u4e00\u500d\uff0c\u6a21\u578b\u9884\u6d4b\u673a\u5668\u4eba\u4e0b\u4e00\u6b65\u52a8\u4f5c\u7684\u8bef\u5dee\u90fd\u4f1a\u7ee7\u7eed\u4e0b\u964d\u3002Figure AI \u4f7f\u7528\u524d\u4e09\u7ec4\u5b9e\u9a8c\u9884\u6d4b\u6700\u5927\u89c4\u6a21\u8bad\u7ec3\u7684\u7ed3\u679c\uff0c\u6700\u7ec8\u8bef\u5dee\u53ea\u6709\u6574\u4e2a\u53d8\u5316\u533a\u95f4\u7684 0.54%\u3002<\/p>\n

Helix 2.5 \u540c\u65f6\u63d0\u4f9b\u4e86\u4e00\u4e2a\u73b0\u5b9e\u4e16\u754c\u91cc\u7684\u5bf9\u7167\uff1a\u5176\u4ed6\u6761\u4ef6\u4fdd\u6301\u4e0d\u53d8\uff0cIndex \u9884\u8bad\u7ec3\u5c06\u5b8c\u6574\u4efb\u52a1\u6210\u529f\u7387\u4ece\u7ea6 9% \u63d0\u9ad8\u5230\u4e86 56%\u3002<\/p>\n

Figure AI \u5df2\u7ecf\u51c6\u5907\u4e3a\u8fd9\u4e2a\u6545\u4e8b\u652f\u4ed8\u5f88\u9ad8\u7684\u6210\u672c\u3002<\/p>\n

\u516c\u53f8\u4e0e Nscale \u7b7e\u7f72\u7684\u5408\u4f5c\u534f\u8bae\u5305\u542b 35 \u4ebf\u7f8e\u5143\u521d\u59cb\u7b97\u529b\u627f\u8bfa\uff0c\u8ba1\u5212\u4ece 2027 \u5e74\u4e0b\u534a\u5e74\u5f00\u59cb\u90e8\u7f72\uff0c\u957f\u671f\u76ee\u6807\u6700\u9ad8\u8fbe\u5230 10 \u4e07\u5757\u82f1\u4f1f\u8fbe Vera Rubin GPU\u3002Index \u5219\u7ee7\u7eed\u4ee5\u6bcf\u79d2\u7ea6 35 \u5206\u949f\u7684\u901f\u5ea6\u6536\u96c6\u4eba\u7c7b\u7ecf\u9a8c\u3002<\/p>\n

\u5982\u679c Figure AI \u7684\u5224\u65ad\u6210\u7acb\uff0cHelix 2.5 \u5f53\u524d\u7684\u5931\u8d25\u66f4\u50cf\u4e00\u4e2a\u89c4\u6a21\u95ee\u9898\uff1a\u6570\u636e\u8fd8\u4e0d\u591f\u591a\u3001\u6a21\u578b\u8fd8\u4e0d\u591f\u5927\u3001\u8ba1\u7b97\u91cf\u8fd8\u4e0d\u591f\u9ad8\u3002\u7ee7\u7eed\u6269\u5927\u4e09\u8005\uff0c56% \u5c31\u4f1a\u50cf\u65e9\u671f\u5927\u8bed\u8a00\u6a21\u578b\u7684\u80fd\u529b\u4e00\u6837\u4e0d\u65ad\u5411\u4e0a\u589e\u957f\u3002<\/p>\n

\n
\n
\n
\n
\n
\"\"<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\u540c\u884c\u6ca1\u6709\u9f13\u638c<\/strong><\/strong><\/p>\n<\/section>\n

\u6700\u8fd1\u7684\u5177\u8eab\u667a\u80fd\u9886\u57df\uff0c\u4f3c\u4e4e\u4e0d\u518d\u50cf\u65e9\u5e74\u7684\u4e00\u56e2\u548c\u6c14\u3002\u5728 Helix2.5 \u53d1\u5e03\u4e4b\u540e\uff0c\u6709\u4e24\u6761\u6279\u8bc4\u9a6c\u4e0a\u8fdb\u5165\u4e86\u7b14\u8005\u7684 X \u4e3b\u9875\u3002<\/p>\n

Tony Zhao \u7684\u6279\u8bc4\u4e3b\u8981\u9488\u5bf9 56% \u7684\u53ef\u9760\u6027\u3002<\/p>\n

Tony \u662f ACT \u548c ALOHA \u7cfb\u7edf\u7684\u6838\u5fc3\u4f5c\u8005\u4e4b\u4e00\uff0c\u76ee\u524d\u62c5\u4efb Sunday Robotics \u8054\u5408\u521b\u59cb\u4eba\u517c CEO\u3002\u4ed6\u5728 Figure AI \u53d1\u5e03\u6570\u636e\u540e\u5199\u9053\uff1a\u300c\u6709\u7528\u7684\u5de5\u4f5c\uff1d\u6cdb\u5316\uff0b\u53ef\u9760\u6027\u3002\u300d<\/p>\n

\"\"\/<\/p>\n

Figure AI \u628a 237 \u6b21\u6210\u529f\u7406\u89e3\u4e3a\u673a\u5668\u4eba\u53ef\u4ee5\u5728\u964c\u751f\u73af\u5883\u4e2d\u5de5\u4f5c\uff1bTony \u5c06\u6ce8\u610f\u529b\u653e\u5728\u53e6\u5916 183 \u6b21\u5931\u8d25\u4e0a\u3002\u5728\u5bb6\u5ead\u73af\u5883\u91cc\uff0c\u673a\u5668\u4eba\u53ef\u80fd\u63a5\u89e6\u6613\u788e\u7269\u54c1\uff0c\u4e5f\u53ef\u80fd\u4e0e\u513f\u7ae5\u548c\u5ba0\u7269\u5171\u540c\u6d3b\u52a8\u3002\u5b83\u80fd\u4e0d\u80fd\u5076\u5c14\u5b8c\u6210\u4efb\u52a1\uff0c\u548c\u7528\u6237\u80fd\u4e0d\u80fd\u653e\u5fc3\u8ba9\u5b83\u72ec\u7acb\u5de5\u4f5c\uff0c\u662f\u4e24\u56de\u4e8b\u3002<\/p>\n

Sunday Robotics \u6b64\u524d\u53d1\u5e03\u7684 ACT-2\uff0c\u5728\u8863\u7269\u6298\u53e0\u6d4b\u8bd5\u4e2d\u5b8c\u6210\u4e86 785 \u6b21\u81ea\u4e3b\u5c1d\u8bd5\u4e2d\u7684 778 \u6b21\uff0c\u62a5\u544a\u6210\u529f\u7387\u4e3a 99.1%\u3002\u8fd9\u7ec4\u6570\u636e\u4e0d\u80fd\u4e0e Figure AI \u76f4\u63a5\u6bd4\u8f83\uff1aSunday \u7684\u4e00\u6b21\u6d4b\u8bd5\u5bf9\u5e94\u4e00\u4ef6\u8863\u7269\uff0cFigure AI \u7684\u4e00\u6b21\u6bdb\u5dfe\u6d4b\u8bd5\u5219\u8981\u6c42\u673a\u5668\u4eba\u8fde\u7eed\u5904\u7406\u56db\u6761\u6bdb\u5dfe\uff0c\u5e76\u5168\u90e8\u653e\u8fdb\u7bee\u5b50\u3002<\/p>\n

\u4f46 Tony \u9009\u62e9\u7528\u53ef\u9760\u6027\u653b\u51fb Figure AI \u5e76\u4e0d\u610f\u5916\u3002Sunday \u7684\u4ea7\u54c1 Memo \u540c\u6837\u7784\u51c6\u5bb6\u7528\u673a\u5668\u4eba\uff0c\u4e24\u5bb6\u516c\u53f8\u8fc7\u53bb\u5df2\u7ecf\u6709\u8fc7\u516c\u5f00\u4ea4\u950b\u3002Helix 02 \u53d1\u5e03\u540e\uff0cTony \u66fe\u8d28\u7591 Figure AI \u4e3a\u4ec0\u4e48\u53ea\u5c55\u793a\u673a\u5668\u4eba\u5904\u7406\u5851\u6599\u9910\u5177\uff0cBrett \u968f\u540e\u53d1\u5e03\u4e86\u4e00\u6bb5\u5904\u7406\u73bb\u7483\u5668\u76bf\u7684\u89c6\u9891\u56de\u5e94\u3002<\/p>\n

Nikolai Ensslen \u7684\u6279\u8bc4\u66f4\u63a5\u8fd1\u4e00\u573a\u6280\u672f\u8def\u7ebf\u4e4b\u4e89\u3002<\/p>\n

Nikolai Ensslen \u662f\u673a\u5668\u4eba\u8fd0\u52a8\u63a7\u5236\u516c\u53f8 Synapticon \u7684\u8054\u5408\u521b\u59cb\u4eba\u548c\u524d CEO\uff0c\u76ee\u524d\u6b63\u5728\u5f00\u53d1 Physical AI \u4e0e\u4eba\u5f62\u673a\u5668\u4eba\u7cfb\u7edf\u3002\u4ed6\u5148\u80af\u5b9a Figure AI \u613f\u610f\u516c\u5f00\u6210\u529f\u7387\uff0c\u968f\u540e\u8868\u793a\uff0c\u8fd9\u4e9b\u6570\u5b57\u672c\u8eab\u5c31\u662f\u6a21\u4eff\u5b66\u4e60\u4e0d\u80fd\u6cdb\u5316\u7684\u8bc1\u636e\u3002<\/p>\n

\"\"\/<\/p>\n

\u5728\u4ed6\u7684\u5b9a\u4e49\u91cc\uff0c\u6cdb\u5316\u610f\u5473\u7740\u7cfb\u7edf\u6362\u4e00\u4e2a\u5730\u65b9\u4ecd\u7136\u80fd\u5de5\u4f5c\uff0c\u800c\u4e14\u6bcf\u6b21\u90fd\u80fd\u5de5\u4f5c\u3002Helix 2.5 \u5728 30 \u5957\u4f4f\u5b85\u4e2d\u7684\u786e\u51fa\u73b0\u4e86\u6210\u529f\uff0c\u4f46 44% \u7684\u4efb\u52a1\u6ca1\u6709\u5b8c\u6210\uff0c\u6240\u4ee5\u5b83\u300c\u5b8c\u5168\u6ca1\u6709\u505a\u5230\u300d\u3002<\/p>\n

\u8fd9\u79cd\u8bc4\u4ef7\u653e\u5728\u51e0\u5e74\u524d\uff0c\u4f1a\u663e\u5f97\u8fc7\u4e8e\u82db\u523b\u3002\u5bf9\u4e8e\u4eba\u5f62\u673a\u5668\u4eba\u6765\u8bf4\uff0c\u80fd\u5728 30 \u5957\u964c\u751f\u4f4f\u5b85\u4e2d\u5b8c\u6210\u957f\u65f6\u7a0b\u5168\u8eab\u4efb\u52a1\uff0c\u672c\u8eab\u5df2\u7ecf\u662f\u660e\u663e\u8fdb\u6b65\u3002<\/p>\n

\u4f46\u4ece\u67d0\u4e2a\u89d2\u5ea6\u8bb2\uff0c GPT-6 \u7684\u51fa\u73b0\uff0c\u6b63\u5728\u6539\u53d8\u4e00\u90e8\u5206\u4ece\u4e1a\u8005\u5bf9\u300c\u6cdb\u5316\u300d\u7684\u9884\u671f\u3002\u8ba9\u884c\u4e1a\u53d7\u5230\u51b2\u51fb\u7684\u4e0d\u662f GPT-6 \u5df2\u7ecf\u628a\u673a\u5668\u4eba\u63a7\u5236\u505a\u5230\u4e86\u591a\u5feb\u3001\u591a\u7a33\u5b9a\uff0c\u800c\u662f\u5b83\u8868\u73b0\u51fa\u7684\u5b66\u4e60\u65b9\u5f0f\u3002<\/p>\n

\u6a21\u578b\u9762\u5bf9\u6ca1\u6709\u4e13\u95e8\u8bad\u7ec3\u8fc7\u7684\u4efb\u52a1\uff0c\u4f1a\u5229\u7528\u4e0a\u4e0b\u6587\u7406\u89e3\u76ee\u6807\uff0c\u901a\u8fc7\u5c1d\u8bd5\u83b7\u5f97\u53cd\u9988\uff0c\u518d\u53cd\u601d\u548c\u4fee\u6b63\u52a8\u4f5c\u3002\u5b83\u5bf9\u4e09\u7ef4\u7a7a\u95f4\u3001\u4efb\u52a1\u8bed\u4e49\u548c\u81ea\u8eab\u64cd\u4f5c\u7ed3\u679c\u7684\u7406\u89e3\uff0c\u88ab\u4e0d\u5c11\u4ece\u4e1a\u8005\u89c6\u4e3a\u4e00\u79cd\u66f4\u63a5\u8fd1\u667a\u80fd\u6d8c\u73b0\u7684\u80fd\u529b\u3002<\/p>\n

\u4f20\u7edf\u89c6\u89c9\u8bed\u8a00\u52a8\u4f5c\u6a21\u578b\u5219\u66f4\u50cf\u662f\u5728\u5b66\u4e60\u89c6\u89c9\u4e0e\u52a8\u4f5c\u8f68\u8ff9\u4e4b\u95f4\u7684\u5bf9\u5e94\u5173\u7cfb\u3002\u8bad\u7ec3\u4e2d\u51fa\u73b0\u8fc7\u7684\u4efb\u52a1\uff0c\u5b83\u53ef\u4ee5\u6267\u884c\u5f97\u5f88\u5feb\uff1b\u4e00\u65e6\u8fdb\u5165\u6ca1\u6709\u8986\u76d6\u8fc7\u7684\u60c5\u51b5\uff0c\u6a21\u578b\u53ef\u80fd\u7ee7\u7eed\u91cd\u590d\u539f\u6709\u8f68\u8ff9\uff0c\u800c\u4e0d\u662f\u7406\u89e3\u81ea\u5df1\u4e3a\u4ec0\u4e48\u5931\u8d25\u3002<\/p>\n

\u5728\u8fd9\u6837\u7684\u80cc\u666f\u4e0b\uff0cFigure AI \u7684 56% \u663e\u5f97\u5fae\u5999\u3002<\/p>\n

\u652f\u6301\u8005\u53ef\u4ee5\u8bf4\uff0cHelix 2.5 \u5df2\u7ecf\u628a\u5927\u89c4\u6a21\u4eba\u7c7b\u7ecf\u9a8c\u8fc1\u79fb\u5230\u4e86\u5168\u5c3a\u5bf8\u4eba\u5f62\u673a\u5668\u4eba\u4e0a\uff0c\u800c\u4e14\u4e0d\u9700\u8981\u5728\u6bcf\u5957\u4f4f\u5b85\u4e2d\u91cd\u65b0\u91c7\u96c6\u6570\u636e\u3002\u6279\u8bc4\u8005\u4e5f\u53ef\u4ee5\u8bf4\uff0c\u6a21\u578b\u53ea\u662f\u5728\u66f4\u5927\u7684\u6570\u636e\u5206\u5e03\u4e2d\u5b66\u4f1a\u4e86\u6a21\u4eff\u3002\u4e00\u65e6\u573a\u666f\u504f\u79bb\u8bad\u7ec3\u7ecf\u9a8c\uff0c\u5b83\u4ecd\u7136\u7f3a\u5c11\u7406\u89e3\u4efb\u52a1\u548c\u6446\u8131\u5931\u8d25\u7684\u80fd\u529b\u3002<\/p>\n

\u4e89\u8bae\u5728\u4e8e\uff0c\u8fd9\u79cd\u8fc1\u79fb\u662f\u5426\u8db3\u4ee5\u652f\u6491 Figure AI \u5bf9\u672a\u6765\u7684\u5224\u65ad\u3002<\/p>\n

Figure AI \u6700\u65b0\u4e00\u8f6e\u878d\u8d44\u8d85\u8fc7 10 \u4ebf\u7f8e\u5143\uff0c\u6295\u540e\u4f30\u503c\u8fbe\u5230 390 \u4ebf\u7f8e\u5143\uff1b\u516c\u53f8\u8fd8\u5ba3\u79f0\u5df2\u7ecf\u751f\u4ea7\u8d85\u8fc7 350 \u53f0 Figure 03\uff0c\u5e76\u628a\u751f\u4ea7\u5468\u671f\u7f29\u77ed\u5230\u6bcf\u5c0f\u65f6\u4e00\u53f0\u3002\u73b0\u5728\uff0c\u5b83\u53c8\u628a 35 \u4ebf\u7f8e\u5143\u521d\u59cb\u7b97\u529b\u627f\u8bfa\u548c\u4e0d\u65ad\u6269\u5927\u7684 Index \u6570\u636e\u62bc\u5728\u4e86 Helix \u4e0a\u3002<\/p>\n

Helix 2.5 \u662f Figure AI \u7b2c\u4e00\u6b21\u628a\u673a\u5668\u4eba\u9001\u8fdb 30 \u5957\u964c\u751f\u4f4f\u5b85\uff0c\u4e5f\u662f\u5b83\u7b2c\u4e00\u6b21\u5982\u6b64\u660e\u786e\u5730\u5ba3\u79f0\uff0c\u81ea\u5df1\u627e\u5230\u4e86\u4ece\u4eba\u7c7b\u6570\u636e\u901a\u5f80\u673a\u5668\u4eba\u80fd\u529b\u7684 scaling law\u3002<\/p>\n

\u5982\u679c 56% \u80fd\u968f\u7740 Index \u6269\u5927\u7a33\u5b9a\u5730\u53d8\u6210 80%\u300190% \u751a\u81f3\u66f4\u9ad8\uff0cHelix 2.5 \u4f1a\u6210\u4e3a\u673a\u5668\u4eba\u9884\u8bad\u7ec3\u8def\u7ebf\u7684\u4e00\u4e2a\u8d77\u70b9\u3002<\/p>\n

\u5982\u679c\u6210\u529f\u7387\u8fdf\u8fdf\u505c\u5728\u4e00\u534a\u9644\u8fd1\uff0c\u90a3\u4e48 Tony Zhao \u548c Nikolai Ensslen \u7684\u6279\u8bc4\uff0c\u5c31\u4e0d\u53ea\u662f\u4e00\u53e5\u4e0d\u5ba2\u6c14\u7684\u8bc4\u8bba\uff0c\u800c\u4f1a\u53d8\u6210\u5bf9\u6574\u6761\u4e0e\u6a21\u4eff\u5b66\u4e60\u76f8\u5173\u7684\u8def\u7ebf\u7684\u8d28\u7591\u3002<\/p>\n

\u62d3\u5c55\u9605\u8bfb\uff1a<\/p>\n

Figure AI \u53d1\u5e03\u65b0 demo\uff1a\u4e24\u4e2a\u673a\u5668\u4eba\u70b9\u5934\u81f4\u610f\uff0c\u6211\u4eec\u4e00\u8d77\u628a\u88ab\u5b50\u62c9\u5f00<\/p>\n

\u4f30\u503c 390 \u4ebf\u7f8e\u91d1\uff0c\u5168\u7403\u6700\u8d35\u7684\u4eba\u5f62\u673a\u5668\u4eba\u516c\u53f8\u5728\u7814\u7a76\u7528\u811a\u5173\u6d17\u7897\u673a<\/p>\n

\u53ea\u7528 13 \u5929\uff0cOpenAI \u505a\u51fa\u4e86\u80fd\u542c\u3001\u80fd\u8bf4\u3001\u80fd\u81ea\u4e3b\u51b3\u7b56\u7684\u673a\u5668\u4eba\u5927\u6a21\u578b<\/p>\n

OpenAI\u3001\u82f1\u4f1f\u8fbe\u91cd\u91d1\u4e0b\u6ce8\uff0c\u8fd9\u5bb6\u673a\u5668\u4eba\u516c\u53f8\u51ed\u4ec0\u4e48\u4f30\u503c 26 \u4ebf\u7f8e\u5143<\/p>\n

\n
\n
\n

*\u5934\u56fe\u6765\u6e90\uff1aFigure AI<\/p>\n

\u672c\u6587\u4e3a In The Loop \u539f\u521b\u6587\u7ae0\uff0c\u8f6c\u8f7d\u8bf7\u8054\u7cfb\u4f5c\u8005<\/p>\n<\/section>\n<\/section>\n

\u00a0<\/p>\n<\/section>\n

\"\"\/<\/section>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

\u4f5c\u8005\uff5cLi Yuan 390 …<\/p>\n","protected":false},"author":1,"featured_media":15130,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/nxhdyxdsj.com\/index.php?rest_route=\/wp\/v2\/posts\/15129"}],"collection":[{"href":"https:\/\/nxhdyxdsj.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nxhdyxdsj.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nxhdyxdsj.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/nxhdyxdsj.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=15129"}],"version-history":[{"count":0,"href":"https:\/\/nxhdyxdsj.com\/index.php?rest_route=\/wp\/v2\/posts\/15129\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nxhdyxdsj.com\/index.php?rest_route=\/wp\/v2\/media\/15130"}],"wp:attachment":[{"href":"https:\/\/nxhdyxdsj.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=15129"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nxhdyxdsj.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=15129"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nxhdyxdsj.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=15129"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}