{"id":7333,"date":"2026-09-20T09:28:58","date_gmt":"2026-09-20T01:28:58","guid":{"rendered":"https:\/\/nullthought.net\/?p=7333"},"modified":"2026-09-20T09:29:00","modified_gmt":"2026-09-20T01:29:00","slug":"%e5%93%88%e4%bd%9b%e4%b8%8e%e4%bd%90%e6%b2%bb%e4%ba%9a%e7%90%86%e5%b7%a5%e6%8e%a8%e5%87%ba%e6%9c%ba%e5%99%a8%e4%ba%ba%e5%ad%a6%e4%b9%a0%e5%b7%a5%e7%a8%8b%e5%b8%88%e8%af%84%e6%b5%8b%e5%9f%ba","status":"publish","type":"post","link":"https:\/\/nullthought.net\/?p=7333","title":{"rendered":"\u54c8\u4f5b\u4e0e\u4f50\u6cbb\u4e9a\u7406\u5de5\u63a8\u51fa\u201c\u673a\u5668\u4eba\u5b66\u4e60\u5de5\u7a0b\u5e08\u8bc4\u6d4b\u57fa\u51c6\uff08RLE-Bench\uff09\u201d"},"content":{"rendered":"\n

2026 \u5e74 9 \u6708\uff0c\u54c8\u4f5b\u5927\u5b66\u5de5\u7a0b\u4e0e\u5e94\u7528\u79d1\u5b66\u5b66\u9662\u4e0e\u4f50\u6cbb\u4e9a\u7406\u5de5\u5b66\u9662\u8054\u5408\u63a8\u51fa RLE-Bench\uff08Robot Learning Engineer Benchmark\uff09<\/strong>\u3002\u8fd9\u4e2a\u9879\u76ee\u8bd5\u56fe\u56de\u7b54\u4e00\u4e2a\u5f88\u6709\u610f\u601d\u7684\u95ee\u9898\uff1a\u4eca\u5929\u5df2\u7ecf\u76f8\u5f53\u64c5\u957f\u7f16\u7a0b\u7684 AI Coding Agent\uff0c\u80fd\u4e0d\u80fd\u8fdb\u4e00\u6b65\u6210\u4e3a\u201c\u673a\u5668\u4eba\u5de5\u7a0b\u5e08\u201d\uff1f<\/strong> 9 \u6708 17 \u65e5\uff0c\u54c8\u4f5b\u5927\u5b66\u6b63\u5f0f\u4ecb\u7ecd\u4e86\u8fd9\u4e00\u7814\u7a76\u3002(\u54c8\u4f5b\u5de5\u7a0b\u4e0e\u5e94\u7528\u79d1\u5b66\u5b66\u9662<\/a>)<\/p>\n\n\n\n

\"\"
RLE-Bench\uff1a\u673a\u5668\u4eba\u5b66\u4e60\u5de5\u7a0b\u57fa\u51c6<\/figcaption><\/figure>\n\n\n\n

\u8fc7\u53bb\u4e24\u5e74\uff0cCoding Agent \u7684\u80fd\u529b\u5feb\u901f\u63d0\u5347\u3002AI \u5df2\u7ecf\u53ef\u4ee5\u9605\u8bfb\u5927\u578b\u4ee3\u7801\u5e93\u3001\u4fee\u6539\u7a0b\u5e8f\u3001\u8fd0\u884c\u6d4b\u8bd5\uff0c\u6839\u636e\u62a5\u9519\u4e0d\u65ad\u8fed\u4ee3\u3002\u4f46\u7edd\u5927\u591a\u6570\u6d4b\u8bd5\u4ecd\u53d1\u751f\u5728\u7eaf\u6570\u5b57\u73af\u5883\u91cc\uff1a\u7a0b\u5e8f\u53ea\u8981\u80fd\u591f\u7f16\u8bd1\u3001\u6d4b\u8bd5\u901a\u8fc7\uff0c\u4efb\u52a1\u5f80\u5f80\u5c31\u7b97\u5b8c\u6210\u3002<\/p>\n\n\n\n

\u673a\u5668\u4eba\u5374\u5b8c\u5168\u4e0d\u540c\u3002\u4ee3\u7801\u5373\u4f7f\u6ca1\u6709\u9519\u8bef\uff0c\u673a\u5668\u4eba\u4e5f\u53ef\u80fd\u649e\u5230\u969c\u788d\u7269\u3001\u6293\u53d6\u5931\u8d25\uff0c\u751a\u81f3\u56e0\u4e3a\u7ed3\u6784\u8bbe\u8ba1\u4e0d\u7a33\u5b9a\u800c\u503e\u5012\u3002\u56e0\u6b64\uff0c\u771f\u6b63\u7684\u673a\u5668\u4eba\u7814\u53d1\u4e0d\u4ec5\u9700\u8981\u7f16\u7a0b\uff0c\u8fd8\u6d89\u53ca\u611f\u77e5\u3001\u63a7\u5236\u3001\u52a8\u529b\u5b66\u3001\u673a\u68b0\u8bbe\u8ba1\u3001\u5f3a\u5316\u5b66\u4e60\u4ee5\u53ca\u8f6f\u786c\u4ef6\u534f\u540c<\/strong>\u3002RLE-Bench \u6b63\u662f\u628a Coding Agent \u4ece\u201c\u7535\u8111\u91cc\u7684\u8f6f\u4ef6\u5de5\u7a0b\u5e08\u201d\u63a8\u8fdb\u5230\u8fd9\u6837\u4e00\u4e2a\u66f4\u63a5\u8fd1\u771f\u5b9e\u5de5\u7a0b\u7684\u95ee\u9898\u7a7a\u95f4\u3002(RLE-Bench<\/a>)<\/p>\n\n\n\n

RLE-Bench \u53ef\u4ee5\u7406\u89e3\u4e3a\u4e00\u5957\u9488\u5bf9 AI \u673a\u5668\u4eba\u5de5\u7a0b\u5e08\u7684\u8d44\u683c\u8003\u8bd5<\/strong>\u3002\u76ee\u524d\u5305\u542b 48 \u4e2a\u5177\u4f53\u4efb\u52a1\uff0c\u5f52\u5165 9 \u4e2a\u4efb\u52a1\u65cf\uff0c\u5e76\u8986\u76d6\u56db\u5927\u5de5\u7a0b\u65b9\u5411\uff1a\u4ea4\u4e92\u63a7\u5236\u3001\u7b56\u7565\u5f00\u53d1\u3001\u611f\u77e5\u4e0e\u72b6\u6001\u4f30\u8ba1\u3001\u673a\u68b0\u8bbe\u8ba1<\/strong>\u3002(RLE-Bench<\/a>)<\/p>\n\n\n\n

\u4f8b\u5982\u5728\u4ea4\u4e92\u63a7\u5236\u4e2d\uff0cAI \u8981\u89c2\u5bdf\u673a\u5668\u4eba\u548c\u73af\u5883\uff0c\u901a\u8fc7\u89c6\u89c9\u7b49\u53cd\u9988\u63a7\u5236\u673a\u68b0\u81c2\u5b8c\u6210\u53a8\u623f\u64cd\u4f5c\uff1b\u5728\u7b56\u7565\u5f00\u53d1\u4e2d\uff0cAI \u4e0d\u53ea\u662f\u8c03\u7528\u73b0\u6210\u6a21\u578b\uff0c\u800c\u8981\u771f\u6b63\u8bad\u7ec3\u673a\u5668\u4eba\u7684\u8fd0\u52a8\u63a7\u5236\u7b56\u7565\uff0c\u5305\u62ec\u4eba\u5f62\u673a\u5668\u4eba\u5168\u8eab\u8fd0\u52a8\u8ddf\u8e2a\u4ee5\u53ca\u89c6\u89c9\u2014\u8bed\u8a00\u2014\u52a8\u4f5c\u6a21\u578b\uff1b\u5728\u611f\u77e5\u4efb\u52a1\u4e2d\uff0cAI \u9700\u8981\u6839\u636e\u5b58\u5728\u906e\u6321\u548c\u566a\u58f0\u7684\u4f20\u611f\u5668\u4fe1\u606f\u5224\u65ad\u7269\u4f53\u7684\u4f4d\u7f6e\u3001\u65b9\u5411\uff0c\u5e76\u63a7\u5236\u673a\u5668\u4eba\u6e05\u7406\u6742\u4e71\u6599\u7bb1\u3002(RLE-Bench<\/a>)<\/p>\n\n\n\n

\u66f4\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0cRLE-Bench \u8fd8\u52a0\u5165\u4e86\u4f20\u7edf AI Benchmark \u5f88\u5c11\u6d89\u53ca\u7684\u673a\u68b0\u8bbe\u8ba1<\/strong>\u3002<\/p>\n\n\n\n

\u5176\u4e2d\u4e00\u4e2a\u4efb\u52a1\u8981\u6c42 AI \u4e3a Panda\u3001UR5e \u548c xArm7 \u7b49\u4e0d\u540c\u673a\u68b0\u81c2\u8bbe\u8ba1\u901a\u7528\u79fb\u52a8\u5e95\u5ea7\u3002\u5b83\u4e0d\u4ec5\u8981\u8003\u8651\u673a\u68b0\u81c2\u80fd\u5426\u591f\u5230\u8d27\u67b6\uff0c\u8fd8\u8981\u8003\u8651\u5e95\u5ea7\u5c3a\u5bf8\u3001\u91cd\u91cf\u3001\u8f7d\u8377\u3001\u6750\u6599\u6d88\u8017\u4ee5\u53ca\u9759\u6001\u548c\u52a8\u6001\u7a33\u5b9a\u6027\u3002\u53e6\u4e00\u4e2a\u4efb\u52a1\u5219\u8981\u6c42 AI \u4e3a GELLO \u9065\u64cd\u4f5c\u673a\u68b0\u81c2\u8bbe\u8ba1\u91cd\u529b\u8865\u507f\u673a\u6784\uff0c\u540c\u65f6\u914d\u5957\u63a7\u5236\u548c\u6821\u51c6\u7a0b\u5e8f\u3002(RLE-Bench<\/a>)<\/p>\n\n\n\n

\u8fd9\u4e5f\u66b4\u9732\u51fa\u4e86\u5f53\u524d AI \u7684\u4e00\u4e2a\u5178\u578b\u95ee\u9898\uff1a\u201c\u770b\u8d77\u6765\u8bbe\u8ba1\u6b63\u786e\u201d\uff0c\u4e0d\u7b49\u4e8e\u201c\u7269\u7406\u4e0a\u771f\u7684\u53ef\u884c\u201d\u3002<\/strong><\/p>\n\n\n\n

\u7814\u7a76\u56e2\u961f\u5c55\u793a\u7684\u6848\u4f8b\u975e\u5e38\u76f4\u89c2\u3002\u67d0\u4e2a AI \u8bbe\u8ba1\u7684\u79fb\u52a8\u673a\u5668\u4eba\u5e95\u5ea7\u80fd\u591f\u8ba9\u673a\u68b0\u81c2\u6210\u529f\u591f\u5230\u8d27\u67b6\uff0c\u800c\u4e14\u8f7d\u8377\u6307\u6807\u4e5f\u6ee1\u8db3\u8981\u6c42\uff0c\u4f46\u5728\u7a33\u5b9a\u6027\u6d4b\u8bd5\u4e2d\u673a\u5668\u4eba\u5374\u53d1\u751f\u503e\u8986\u3002\u53e6\u4e00\u4e2a\u8bbe\u8ba1\u751a\u81f3\u51fa\u73b0\u4e86\u673a\u68b0\u6846\u67b6\u90e8\u4ef6\u6ca1\u6709\u771f\u6b63\u8fde\u63a5\u7684\u95ee\u9898\u3002\u4e5f\u5c31\u662f\u8bf4\uff0cAI \u5f88\u5bb9\u6613\u4f18\u5316\u663e\u6027\u7684\u4efb\u52a1\u76ee\u6807\uff0c\u5374\u9057\u6f0f\u91cd\u5fc3\u3001\u529b\u77e9\u3001\u60ef\u6027\u3001\u7ed3\u6784\u8fde\u63a5\u548c\u52a8\u6001\u7a33\u5b9a\u6027\u7b49\u76f8\u4e92\u8026\u5408\u7684\u7269\u7406\u7ea6\u675f\u3002(RLE-Bench<\/a>)<\/p>\n\n\n\n

RLE-Bench \u7684\u53e6\u4e00\u4e2a\u91cd\u8981\u7279\u70b9\uff0c\u662f\u5b83\u5e76\u4e0d\u662f\u201c\u4e00\u6b21\u751f\u6210\u7b54\u6848\u201d\u3002AI \u53ef\u4ee5\u50cf\u771f\u6b63\u7684\u5de5\u7a0b\u5e08\u4e00\u6837\u7ecf\u5386\uff1a<\/p>\n\n\n\n

\u8bbe\u8ba1 \u2192 \u6267\u884c \u2192 \u89c2\u5bdf \u2192 \u4fee\u6539 \u2192 \u518d\u6d4b\u8bd5\u3002<\/strong><\/p>\n\n\n\n

Agent \u53ef\u4ee5\u7f16\u5199\u4ee3\u7801\u3001\u8fd0\u884c\u4eff\u771f\u3001\u89c2\u5bdf\u89c6\u89c9\u7ed3\u679c\uff0c\u53d1\u73b0\u78b0\u649e\u6216\u8005\u5931\u8d25\u540e\u4fee\u6539\u65b9\u6848\uff0c\u518d\u91cd\u65b0\u5b9e\u9a8c\u3002\u56e0\u6b64\u5b83\u5b9e\u9645\u8003\u5bdf\u7684\u662f\u4e00\u4e2a\u5b8c\u6574\u7684\u5de5\u7a0b\u95ed\u73af\uff0c\u800c\u4e0d\u4ec5\u4ec5\u662f\u201c\u5927\u6a21\u578b\u4f1a\u4e0d\u4f1a\u5199\u673a\u5668\u4eba\u4ee3\u7801\u201d\u3002\u6700\u540e\uff0c\u7cfb\u7edf\u8fd8\u4f1a\u5728 AI \u4e8b\u5148\u4e0d\u77e5\u9053\u7684\u573a\u666f\u3001\u968f\u673a\u79cd\u5b50\u3001\u673a\u5668\u4eba\u7ed3\u6784\u6216\u7269\u7406\u6761\u4ef6\u4e0b\u8fdb\u884c\u9690\u85cf\u6d4b\u8bd5\uff0c\u4ee5\u907f\u514d Agent \u53ea\u662f\u9488\u5bf9\u516c\u5f00\u6d4b\u8bd5\u73af\u5883\u8fdb\u884c\u8c03\u53c2\u3002(RLE-Bench<\/a>)<\/p>\n\n\n\n

\u9700\u8981\u5f3a\u8c03\u7684\u662f\uff0c\u76ee\u524d RLE-Bench \u4e3b\u8981\u8fd0\u884c\u5728\u4eff\u771f\u73af\u5883\u4e2d<\/strong>\u3002\u5b83\u6240\u5f3a\u8c03\u7684\u201c\u7269\u7406\u4e16\u754c\u201d\uff0c\u66f4\u591a\u662f\u901a\u8fc7\u673a\u5668\u4eba\u4eff\u771f\u5668\u548c\u4e25\u683c\u7684\u7269\u7406\u7ea6\u675f\u6765\u5b9e\u73b0\uff0c\u800c\u4e0d\u662f\u8ba9 AI \u76f4\u63a5\u5728\u771f\u5b9e\u5b9e\u9a8c\u5ba4\u91cc\u81ea\u4e3b\u5236\u9020\u673a\u5668\u4eba\u3002\u4e0d\u8fc7\uff0c\u8fd9\u79cd\u8bbe\u8ba1\u975e\u5e38\u9002\u5408\u4f5c\u4e3a\u73b0\u5b9e\u673a\u5668\u4eba\u7814\u53d1\u4e4b\u524d\u7684\u6807\u51c6\u5316\u6d4b\u8bd5\u5e73\u53f0\uff0c\u56e0\u4e3a\u771f\u5b9e\u673a\u5668\u4eba\u5b9e\u9a8c\u6602\u8d35\u3001\u901f\u5ea6\u6162\uff0c\u800c\u4e14\u53ef\u80fd\u4ea7\u751f\u8bbe\u5907\u635f\u574f\u548c\u5b89\u5168\u98ce\u9669\u3002(\u54c8\u4f5b\u5de5\u7a0b\u4e0e\u5e94\u7528\u79d1\u5b66\u5b66\u9662<\/a>)<\/p>\n\n\n\n

\u4ece\u76ee\u524d\u516c\u5e03\u7684\u7ed3\u679c\u770b\uff0cAI \u5728\u673a\u5668\u4eba\u9886\u57df\u7684\u80fd\u529b\u5e76\u4e0d\u5747\u8861\uff1a\u89c6\u89c9\u611f\u77e5\u548c\u73af\u5883\u7406\u89e3\u5df2\u7ecf\u51fa\u73b0\u660e\u663e\u8fdb\u6b65\uff0c\u90e8\u5206 Agent \u5728\u673a\u5668\u4eba\u7b56\u7565\u8bad\u7ec3\u65b9\u9762\u4e5f\u80fd\u8fdb\u884c\u591a\u8f6e\u5b9e\u9a8c\u548c\u4f18\u5316\uff0c\u4f46\u673a\u68b0\u8bbe\u8ba1\u4ee5\u53ca\u5bf9\u590d\u6742\u7269\u7406\u540e\u679c\u7684\u9884\u5224\u4ecd\u662f\u660e\u663e\u77ed\u677f\u3002<\/strong> \u8fd9\u8bf4\u660e Coding Agent \u6b63\u5728\u9010\u6e10\u8de8\u8d8a\u201c\u8f6f\u4ef6\u4e16\u754c\u201d\u7684\u8fb9\u754c\uff0c\u4f46\u8ddd\u79bb\u771f\u6b63\u72ec\u7acb\u5b8c\u6210\u673a\u5668\u4eba\u7cfb\u7edf\u5de5\u7a0b\uff0c\u8fd8\u6709\u4e0d\u5c0f\u8ddd\u79bb\u3002(RLE-Bench<\/a>)<\/p>\n\n\n\n

RLE-Bench \u7684\u610f\u4e49\u53ef\u80fd\u5e76\u4e0d\u5728\u4e8e\u8bc1\u660e\u201cAI \u5df2\u7ecf\u80fd\u591f\u53d6\u4ee3\u673a\u5668\u4eba\u5de5\u7a0b\u5e08\u201d\uff0c\u800c\u5728\u4e8e\u7ed9\u51fa\u4e86\u4e00\u4e2a\u65b0\u7684\u8bc4\u6d4b\u65b9\u5411\u3002\u8fc7\u53bb AI Agent \u7684\u5178\u578b\u5de5\u4f5c\u73af\u5883\u662f\u4ee3\u7801\u5e93\u3001\u6d4f\u89c8\u5668\u548c\u529e\u516c\u8f6f\u4ef6\uff1b\u672a\u6765\uff0c\u8bc4\u4ef7\u4e00\u4e2a\u66f4\u5f3a\u7684 Agent\uff0c\u4e5f\u8bb8\u8981\u770b\u5b83\u80fd\u5426\u7406\u89e3\u4f20\u611f\u5668\u3001\u673a\u5668\u4eba\u3001\u63a7\u5236\u5668\u3001\u673a\u68b0\u7ed3\u6784\u4ee5\u53ca\u771f\u5b9e\u4e16\u754c\u7684\u7269\u7406\u89c4\u5f8b<\/strong>\u3002<\/p>\n\n\n\n

\u6362\u53e5\u8bdd\u8bf4\uff0c\u4e0b\u4e00\u9636\u6bb5\u7684 Coding Agent \u7ade\u4e89\uff0c\u53ef\u80fd\u4e0d\u53ea\u662f\u201c\u8c01\u66f4\u4f1a\u5199\u4ee3\u7801\u201d\uff0c\u800c\u662f\uff1a<\/p>\n\n\n\n

\u8c01\u80fd\u591f\u628a\u4ee3\u7801\u771f\u6b63\u53d8\u6210\u4e00\u4e2a\u53ef\u4ee5\u5728\u7269\u7406\u4e16\u754c\u4e2d\u5de5\u4f5c\u7684\u7cfb\u7edf\u3002<\/strong><\/p>\n\n\n\n

\u8fd9\u4e5f\u662f RLE-Bench \u6700\u503c\u5f97\u5173\u6ce8\u7684\u5730\u65b9\u2014\u2014\u5b83\u6b63\u5728\u628a AI Agent\u3001\u673a\u5668\u4eba\u5b66\u4e60\u548c Physical AI<\/strong> \u4e09\u6761\u6280\u672f\u8def\u7ebf\u9010\u6e10\u8fde\u63a5\u8d77\u6765\u3002<\/p>\n\n\n\n

\u54c8\u4f5b\u5927\u5b66\uff1aCan Your AI Engineer a Robot?<\/a>
RLE-Bench \u5b98\u65b9\u7f51\u7ad9<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

2026 \u5e74 9 \u6708\uff0c\u54c8\u4f5b\u5927\u5b66\u5de5\u7a0b\u4e0e\u5e94\u7528\u79d1\u5b66\u5b66\u9662\u4e0e\u4f50\u6cbb\u4e9a\u7406\u5de5\u5b66\u9662\u8054\u5408\u63a8\u51fa RLE-Bench\uff08Robot Le […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[8],"tags":[39,94,69,61],"class_list":["post-7333","post","type-post","status-publish","format-standard","hentry","category-tech","tag-ai","tag-agentic-ai","tag-engineering","tag-61"],"rttpg_featured_image_url":null,"rttpg_author":{"display_name":"NullThought","author_link":"https:\/\/nullthought.net\/?author=1"},"rttpg_comment":0,"rttpg_category":"Tech<\/a>","rttpg_excerpt":"2026 \u5e74 9 \u6708\uff0c\u54c8\u4f5b\u5927\u5b66\u5de5\u7a0b\u4e0e\u5e94\u7528\u79d1\u5b66\u5b66\u9662\u4e0e\u4f50\u6cbb\u4e9a\u7406\u5de5\u5b66\u9662\u8054\u5408\u63a8\u51fa RLE-Bench\uff08Robot Le…","_links":{"self":[{"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/posts\/7333","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/nullthought.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=7333"}],"version-history":[{"count":1,"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/posts\/7333\/revisions"}],"predecessor-version":[{"id":7335,"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/posts\/7333\/revisions\/7335"}],"wp:attachment":[{"href":"https:\/\/nullthought.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7333"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nullthought.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7333"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nullthought.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7333"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}