
{"id":4652,"date":"2025-02-18T23:07:45","date_gmt":"2025-02-18T15:07:45","guid":{"rendered":"https:\/\/infernews.com\/?page_id=4652"},"modified":"2025-02-18T23:08:35","modified_gmt":"2025-02-18T15:08:35","slug":"test-time-scaling","status":"publish","type":"page","link":"https:\/\/infernews.com\/blog\/test-time-scaling\/","title":{"rendered":"Test Time Scaling"},"content":{"rendered":"\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"\/blog\/wp-content\/uploads\/2025\/02\/2501.19393v2.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of 2501.19393v2.\"><\/object><a id=\"wp-block-file--media-3d6713ce-4da4-4587-b13f-3f6f2f1007a7\" href=\"\/blog\/wp-content\/uploads\/2025\/02\/2501.19393v2.pdf\">2501.19393v2<\/a><a href=\"\/blog\/wp-content\/uploads\/2025\/02\/2501.19393v2.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-3d6713ce-4da4-4587-b13f-3f6f2f1007a7\">Download<\/a><\/div>\n\n\n\n<p>\u672c\u6587\u63a2\u8a0e\u4e00\u7a2e\u7a31\u70ba**\u300c\u6e2c\u8a66\u6642\u7e2e\u653e\u300d\uff08test-time scaling\uff09<strong>\u7684\u65b0\u8208\u8a9e\u8a00\u6a21\u578b\u6539\u826f\u65b9\u6cd5\uff0c\u65e8\u5728\u5229\u7528\u984d\u5916\u7684\u6e2c\u8a66\u6642\u9593\u8a08\u7b97\u8cc7\u6e90\u4f86\u63d0\u5347\u6a21\u578b\u6548\u80fd\u3002\u70ba\u4e86\u5be6\u73fe\u6b64\u76ee\u6a19\uff0c\u4f5c\u8005\u5011\u9996\u5148\u5efa\u7acb\u4e86\u4e00\u500b\u540d\u70ba\u00a0<strong>s1K \u7684\u5c0f\u578b\u4f46\u9ad8\u54c1\u8cea\u7684\u8cc7\u6599\u96c6<\/strong>\uff0c\u5305\u542b1000\u500b\u5177\u6709\u63a8\u7406\u8ecc\u8de1\u7684\u554f\u984c\uff0c\u9019\u4e9b\u554f\u984c\u5728<\/strong>\u96e3\u5ea6\u3001\u591a\u6a23\u6027\u548c\u54c1\u8cea<strong>\u4e0a\u90fd\u7d93\u904e\u4ed4\u7d30\u7be9\u9078\u3002\u63a5\u8457\uff0c\u4ed6\u5011\u958b\u767c\u4e86<\/strong>\u300c\u9810\u7b97\u5f37\u5236\u300d\uff08budget forcing\uff09<strong>\u6280\u8853\uff0c\u901a\u904e\u5f37\u5236\u7d42\u6b62\u6216\u5ef6\u9577\u6a21\u578b\u7684\u601d\u8003\u904e\u7a0b\u4f86\u63a7\u5236\u6e2c\u8a66\u6642\u7684\u8a08\u7b97\u91cf\uff0c\u4fc3\u4f7f\u6a21\u578b\u53cd\u8986\u6aa2\u67e5\u7b54\u6848\u4ee5\u4fee\u6b63\u932f\u8aa4\u7684\u63a8\u7406\u6b65\u9a5f\u3002\u5728\u7d93\u904e s1K \u8cc7\u6599\u96c6\u5fae\u8abf\uff0c\u4e26\u642d\u914d\u9810\u7b97\u5f37\u5236\u6280\u8853\u5f8c\uff0c\u540d\u70ba s1-32B \u7684\u6a21\u578b\u5728\u7af6\u722d\u6027\u6578\u5b78\u554f\u984c\u4e0a\u8d85\u8d8a\u4e86 OpenAI \u7684 o1-preview \u6a21\u578b\uff0c\u986f\u793a\u4e86\u5176\u5728<\/strong>\u6a23\u672c\u6548\u7387\u548c\u63a8\u7406\u80fd\u529b**\u65b9\u9762\u7684\u512a\u8d8a\u6027\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>\u6e2c\u8a66\u6642\u9593\u64f4\u5c55 (Test-time scaling) \u662f\u4e00\u7a2e\u900f\u904e<strong>\u589e\u52a0\u6e2c\u8a66\u6642\u7684\u8a08\u7b97\u91cf\u4f86\u63d0\u5347\u8a9e\u8a00\u6a21\u578b\u6548\u80fd<\/strong>\u7684\u65b9\u6cd5\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u6709\u95dc\u6e2c\u8a66\u6642\u9593\u64f4\u5c55\u7684\u8a73\u7d30\u8cc7\u8a0a\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u57fa\u672c\u6982\u5ff5<\/strong>\uff1a\u6e2c\u8a66\u6642\u9593\u64f4\u5c55\u7684\u76ee\u6a19\u662f\u5728\u4e0d\u6539\u8b8a\u6a21\u578b\u672c\u8eab\u7684\u60c5\u6cc1\u4e0b\uff0c\u5229\u7528\u984d\u5916\u7684\u8a08\u7b97\u8cc7\u6e90\u4f86\u6539\u5584\u6a21\u578b\u5728\u63a8\u7406\u968e\u6bb5\u7684\u8868\u73fe\u3002<\/li>\n\n\n\n<li><strong>s1-32B \u6a21\u578b<\/strong>\uff1a\n<ul class=\"wp-block-list\">\n<li>s1-32B \u6a21\u578b\u5c55\u793a\u4e86\u6e2c\u8a66\u6642\u9593\u64f4\u5c55\u7684\u80fd\u529b\u3002<\/li>\n\n\n\n<li>\u900f\u904e\u5728\u5305\u542b 1,000 \u500b\u554f\u984c\u7684 s1K \u8cc7\u6599\u96c6\u4e0a\u9032\u884c\u5fae\u8abf\uff0c\u4e26\u7d50\u5408\u4e00\u7a2e\u7a31\u70ba\u300c\u9810\u7b97\u5f37\u5236 (budget forcing)\u300d\u7684\u6280\u8853\uff0cs1-32B \u5728\u7af6\u722d\u6578\u5b78\u554f\u984c\u4e0a\u7684\u8868\u73fe\u8d85\u8d8a\u4e86 OpenAI \u7684 o1-preview \u6a21\u578b.<\/li>\n\n\n\n<li>s1-32B \u6a21\u578b\u5728 AIME24 \u4e0a\u7684\u6548\u80fd\uff0c\u900f\u904e\u9810\u7b97\u5f37\u5236\uff0c\u5f9e 50% \u63d0\u5347\u5230 57%\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u9810\u7b97\u5f37\u5236 (Budget forcing)<\/strong>\uff1a\n<ul class=\"wp-block-list\">\n<li>\u9810\u7b97\u5f37\u5236\u662f\u4e00\u7a2e\u63a7\u5236\u6e2c\u8a66\u6642\u9593\u8a08\u7b97\u91cf\u7684\u6280\u8853\u3002<\/li>\n\n\n\n<li>\u7576\u6a21\u578b\u7522\u751f\u7684\u601d\u8003 tokens \u8d85\u904e\u9810\u8a2d\u7684\u4e0a\u9650\u6642\uff0c\u9810\u7b97\u5f37\u5236\u6703\u900f\u904e\u9644\u52a0\u4e00\u500b\u7d50\u675f\u601d\u8003\u7684 token \u5206\u9694\u7b26\u4f86\u5f37\u5236\u7d50\u675f\u601d\u8003\u904e\u7a0b\uff0c\u4f7f\u6a21\u578b\u8f49\u5411\u751f\u6210\u7b54\u6848\u3002<\/li>\n\n\n\n<li>\u5982\u679c\u5e0c\u671b\u6a21\u578b\u82b1\u8cbb\u66f4\u591a\u7684\u6e2c\u8a66\u6642\u9593\u8a08\u7b97\u91cf\uff0c\u5247\u53ef\u4ee5\u6291\u5236\u7d50\u675f\u601d\u8003 token \u5206\u9694\u7b26\u7684\u751f\u6210\uff0c\u4e26\u9644\u52a0 &#8220;Wait&#8221; \u5b57\u4e32\u5230\u6a21\u578b\u7576\u524d\u7684\u63a8\u7406\u8ecc\u8de1\u4e2d\uff0c\u4ee5\u9f13\u52f5\u66f4\u591a\u7684\u63a2\u7d22\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u6e2c\u8a66\u6642\u9593\u64f4\u5c55\u65b9\u6cd5\u5206\u985e<\/strong>\uff1a\n<ul class=\"wp-block-list\">\n<li><strong>\u5e8f\u5217\u64f4\u5c55 (Sequential scaling)<\/strong>\uff1a\u5f8c\u7e8c\u7684\u8a08\u7b97\u4f9d\u8cf4\u65bc\u5148\u524d\u7684\u8a08\u7b97\u7d50\u679c (\u4f8b\u5982\uff0c\u9577\u7684\u63a8\u7406\u8ecc\u8de1)\u3002s1-32B \u6a21\u578b\u4e3b\u8981\u95dc\u6ce8\u5e8f\u5217\u64f4\u5c55\uff0c\u56e0\u70ba\u5b83\u5141\u8a31\u66f4\u6df1\u5165\u7684\u63a8\u7406\u548c\u8fed\u4ee3\u6539\u9032\u3002<\/li>\n\n\n\n<li><strong>\u5e73\u884c\u64f4\u5c55 (Parallel scaling)<\/strong>\uff1a\u8a08\u7b97\u7368\u7acb\u904b\u884c (\u4f8b\u5982\uff0c\u591a\u6578\u6295\u7968)\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u6e2c\u8a66\u6642\u9593\u64f4\u5c55\u7684\u8a55\u4f30\u6307\u6a19<\/strong>\uff1a\n<ul class=\"wp-block-list\">\n<li><strong>\u53ef\u63a7\u6027 (Control)<\/strong>\uff1a\u8861\u91cf\u65b9\u6cd5\u5728\u591a\u5927\u7a0b\u5ea6\u4e0a\u5141\u8a31\u63a7\u5236\u6e2c\u8a66\u6642\u9593\u8a08\u7b97\u91cf\u7684\u4f7f\u7528\u3002<\/li>\n\n\n\n<li><strong>\u64f4\u5c55\u6027 (Scaling)<\/strong>\uff1a\u8861\u91cf\u5206\u6bb5\u7dda\u6027\u51fd\u6578\u7684\u5e73\u5747\u659c\u7387\uff0c\u6578\u503c\u8d8a\u5927\u8d8a\u597d\u3002<\/li>\n\n\n\n<li><strong>\u6548\u80fd (Performance)<\/strong>\uff1a\u8861\u91cf\u65b9\u6cd5\u5728\u57fa\u6e96\u6e2c\u8a66\u4e2d\u5be6\u73fe\u7684\u6700\u5927\u6548\u80fd\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u5e8f\u5217\u64f4\u5c55\u8207\u5e73\u884c\u64f4\u5c55\u7684\u6bd4\u8f03<\/strong>\uff1a\n<ul class=\"wp-block-list\">\n<li>\u5e8f\u5217\u64f4\u5c55\u901a\u5e38\u6bd4\u5e73\u884c\u64f4\u5c55\u66f4\u6709\u6548\uff0c\u56e0\u70ba\u5f8c\u7e8c\u7684\u8a08\u7b97\u53ef\u4ee5\u5efa\u7acb\u5728\u4e2d\u9593\u7d50\u679c\u4e4b\u4e0a\uff0c\u5be6\u73fe\u66f4\u6df1\u5165\u7684\u63a8\u7406\u3002<\/li>\n\n\n\n<li>\u5e73\u884c\u64f4\u5c55\uff0c\u4f8b\u5982\u591a\u6578\u6295\u7968\uff0c\u5728\u63d0\u5347\u6548\u80fd\u65b9\u9762\u4e0d\u5982\u5e8f\u5217\u64f4\u5c55\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u5c40\u9650\u6027<\/strong>\uff1a\n<ul class=\"wp-block-list\">\n<li>\u904e\u5ea6\u6291\u5236\u7d50\u675f\u601d\u8003 token \u5206\u9694\u7b26\u53ef\u80fd\u6703\u5c0e\u81f4\u6a21\u578b\u9032\u5165\u91cd\u8907\u8ff4\u5708\uff0c\u800c\u4e0d\u662f\u6301\u7e8c\u63a8\u7406\u3002<\/li>\n\n\n\n<li>\u5e95\u5c64\u8a9e\u8a00\u6a21\u578b\u7684\u4e0a\u4e0b\u6587\u7a97\u53e3 (context window) \u9650\u5236\u4e86\u64f4\u5c55\u7684\u7a0b\u5ea6\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u6539\u9032\u65b9\u5411<\/strong>\uff1a\n<ul class=\"wp-block-list\">\n<li>\u6539\u9032\u9810\u7b97\u5f37\u5236\uff0c\u4f8b\u5982\u8f2a\u63db\u4e0d\u540c\u7684\u5b57\u4e32 (\u4e0d\u50c5\u50c5\u662f &#8220;Wait&#8221;)\uff0c\u6216\u5c07\u5176\u8207\u983b\u7387\u61f2\u7f70\u6216\u66f4\u9ad8\u7684\u6eab\u5ea6\u7d50\u5408\uff0c\u4ee5\u907f\u514d\u91cd\u8907\u8ff4\u5708\u3002<\/li>\n\n\n\n<li>\u5c07\u9810\u7b97\u5f37\u5236\u61c9\u7528\u65bc\u4f7f\u7528\u5f37\u5316\u5b78\u7fd2\u8a13\u7df4\u7684\u63a8\u7406\u6a21\u578b\uff0c\u53ef\u80fd\u6703\u7522\u751f\u66f4\u597d\u7684\u5916\u63a8\u6548\u679c\u3002<\/li>\n\n\n\n<li>\u5e73\u884c\u64f4\u5c55\u65b9\u6cd5\uff0c\u5982\u591a\u6578\u6295\u7968\u548c\u6a39\u72c0\u641c\u5c0b (\u900f\u904e REBASE)\uff0c\u53ef\u4ee5\u4f5c\u70ba\u5e8f\u5217\u64f4\u5c55\u7684\u88dc\u5145\uff0c\u5f9e\u800c\u9032\u4e00\u6b65\u64f4\u5c55\u6e2c\u8a66\u6642\u9593\u7684\u8a08\u7b97\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u5176\u4ed6\u65b9\u6cd5<\/strong>\n<ul class=\"wp-block-list\">\n<li><strong>\u689d\u4ef6\u9577\u5ea6\u63a7\u5236<\/strong>\uff1a\u5728 prompt \u4e2d\u544a\u77e5\u6a21\u578b\u61c9\u8a72\u751f\u6210\u591a\u9577\u7684\u5167\u5bb9\uff0c\u4f46\u9019\u7a2e\u65b9\u6cd5\u53ef\u80fd\u9700\u8981\u9810\u7b97\u5f37\u5236\u624d\u80fd\u5be6\u73fe\u826f\u597d\u7684\u63a7\u5236\u3002<\/li>\n\n\n\n<li><strong>\u62d2\u7d55\u62bd\u6a23 (Rejection sampling)<\/strong>\uff1a\u62bd\u6a23\u76f4\u5230\u751f\u6210\u7b26\u5408\u9810\u5b9a\u8a08\u7b97\u9810\u7b97\u7684\u7d50\u679c\uff0c\u4f46\u9019\u7a2e\u65b9\u6cd5\u53ef\u80fd\u6703\u5c0e\u81f4\u6548\u80fd\u4e0b\u964d\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<p>\u7e3d\u9ad4\u800c\u8a00\uff0c\u6e2c\u8a66\u6642\u9593\u64f4\u5c55\u662f\u4e00\u7a2e\u6709\u6f5b\u529b\u63d0\u5347\u8a9e\u8a00\u6a21\u578b\u6548\u80fd\u7684\u65b9\u6cd5\uff0c\u800c\u9810\u7b97\u5f37\u5236\u662f\u4e00\u7a2e\u7c21\u55ae\u800c\u6709\u6548\u7684\u5be6\u73fe\u65b9\u5f0f\u3002\u900f\u904e\u4ed4\u7d30\u63a7\u5236\u8a08\u7b97\u91cf\u4e26\u7d50\u5408\u5176\u4ed6\u6280\u8853\uff0c\u53ef\u4ee5\u514b\u670d\u73fe\u6709\u7684\u5c40\u9650\u6027\uff0c\u9032\u4e00\u6b65\u63d0\u5347\u6a21\u578b\u7684\u63a8\u7406\u80fd\u529b\u3002<\/p>\n\n\n<figure class=\"wp-block-embed-youtube wp-block-embed is-type-video is-provider-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"lyte-wrapper\" title=\"Using recurrence to achieve weak to strong generalization\" style=\"width:853px;max-width:100%;margin:5px auto;\"><div class=\"lyMe\" id=\"WYL_M7Kq0ooFFco\" itemprop=\"video\" itemscope itemtype=\"https:\/\/schema.org\/VideoObject\"><div><meta itemprop=\"thumbnailUrl\" content=\"https:\/\/infernews.com\/blog\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FM7Kq0ooFFco%2Fhqdefault.jpg\" \/><meta itemprop=\"embedURL\" content=\"https:\/\/www.youtube.com\/embed\/M7Kq0ooFFco\" \/><meta itemprop=\"duration\" content=\"PT47M10S\" \/><meta itemprop=\"uploadDate\" content=\"2024-10-15T16:55:32Z\" \/><\/div><meta itemprop=\"accessibilityFeature\" content=\"captions\" \/><div id=\"lyte_M7Kq0ooFFco\" data-src=\"https:\/\/infernews.com\/blog\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FM7Kq0ooFFco%2Fhqdefault.jpg\" class=\"pL\"><div class=\"tC\"><div class=\"tT\" itemprop=\"name\">Using recurrence to achieve weak to strong generalization<\/div><\/div><div class=\"play\"><\/div><div class=\"ctrl\"><div class=\"Lctrl\"><\/div><div class=\"Rctrl\"><\/div><\/div><\/div><noscript><a href=\"https:\/\/youtu.be\/M7Kq0ooFFco\" rel=\"nofollow\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/infernews.com\/blog\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FM7Kq0ooFFco%2F0.jpg\" alt=\"Using recurrence to achieve weak to strong generalization\" width=\"853\" height=\"460\" \/><br \/>Watch this video on YouTube<\/a><\/noscript><meta itemprop=\"description\" content=\"Tom Goldstein (University of Maryland) https:\/\/simons.berkeley.edu\/talks\/tom-goldstein-university-maryland-2024-09-26 Transformers as a Computational Model Weak-to-strong generalization refers to the ability of a reasoning model to solve &quot;harder&quot; problems than those in its training set. I&#039;ll argue that recurrent architectures, in which networks can dynamically scale the level of computation used to solve a problem, are necessary to achieve dramatic weak to strong behavior. I&#039;ll present examples where recurrent networks exhibit weak-to-strong generalization for a range of simple reasoning problems. Then I&#039;ll show that transformer-based LLMs benefit from recurrence as well, boosting their performance on weak-to-strong arithmetic tasks.\"><\/div><\/div><div class=\"lL\" style=\"max-width:100%;width:853px;margin:5px auto;\"><\/div><figcaption><\/figcaption><\/figure>","protected":false},"excerpt":{"rendered":"<p>\u672c\u6587\u63a2\u8a0e\u4e00\u7a2e\u7a31\u70ba**\u300c\u6e2c\u8a66\u6642\u7e2e\u653e\u300d\uff08test-time scaling\uff09\u7684\u65b0\u8208\u8a9e\u8a00\u6a21\u578b\u6539\u826f\u65b9\u6cd5\uff0c\u65e8\u5728\u5229\u7528\u984d\u5916\u7684\u6e2c\u8a66\u6642\u9593\u8a08\u7b97\u8cc7\u6e90\u4f86\u63d0\u5347\u6a21\u578b\u6548\u80fd\u3002\u70ba\u4e86\u5be6\u73fe\u6b64\u76ee\u6a19\uff0c\u4f5c\u8005\u5011\u9996\u5148\u5efa\u7acb\u4e86\u4e00\u500b\u540d\u70ba\u00a0s1K \u7684\u5c0f\u578b\u4f46\u9ad8\u54c1\u8cea\u7684\u8cc7\u6599\u96c6\uff0c\u5305\u542b1000\u500b\u5177\u6709\u63a8\u7406\u8ecc\u8de1\u7684\u554f\u984c\uff0c\u9019\u4e9b\u554f\u984c\u5728\u96e3\u5ea6\u3001\u591a\u6a23\u6027\u548c\u54c1\u8cea\u4e0a\u90fd\u7d93\u904e\u4ed4\u7d30\u7be9\u9078\u3002\u63a5\u8457\uff0c\u4ed6\u5011\u958b\u767c\u4e86\u300c\u9810\u7b97\u5f37\u5236\u300d\uff08budget forcing\uff09\u6280\u8853\uff0c\u901a\u904e\u5f37\u5236\u7d42\u6b62\u6216\u5ef6\u9577\u6a21\u578b\u7684\u601d\u8003\u904e\u7a0b\u4f86\u63a7\u5236\u6e2c\u8a66\u6642\u7684\u8a08\u7b97\u91cf\uff0c\u4fc3\u4f7f\u6a21\u578b\u53cd\u8986\u6aa2\u67e5\u7b54\u6848\u4ee5\u4fee\u6b63\u932f\u8aa4\u7684\u63a8\u7406\u6b65\u9a5f\u3002\u5728\u7d93\u904e s1K \u8cc7\u6599\u96c6\u5fae\u8abf\uff0c\u4e26\u642d\u914d\u9810\u7b97\u5f37\u5236\u6280\u8853\u5f8c\uff0c\u540d\u70ba s1-32B \u7684\u6a21\u578b\u5728\u7af6\u722d\u6027\u6578\u5b78\u554f\u984c\u4e0a\u8d85\u8d8a\u4e86 OpenAI \u7684 o1-preview \u6a21\u578b\uff0c\u986f\u793a\u4e86\u5176\u5728\u6a23\u672c\u6548\u7387\u548c\u63a8\u7406\u80fd\u529b**\u65b9\u9762\u7684\u512a\u8d8a\u6027\u3002 \u6e2c\u8a66\u6642\u9593\u64f4\u5c55 (Test-time scaling) \u662f\u4e00\u7a2e\u900f\u904e\u589e\u52a0\u6e2c\u8a66\u6642\u7684\u8a08\u7b97\u91cf\u4f86\u63d0\u5347\u8a9e\u8a00\u6a21\u578b\u6548\u80fd\u7684\u65b9\u6cd5\u3002 \u4ee5\u4e0b\u662f\u6709\u95dc\u6e2c\u8a66\u6642\u9593\u64f4\u5c55\u7684\u8a73\u7d30\u8cc7\u8a0a\uff1a \u7e3d\u9ad4\u800c\u8a00\uff0c\u6e2c\u8a66\u6642\u9593\u64f4\u5c55\u662f\u4e00\u7a2e\u6709\u6f5b\u529b\u63d0\u5347\u8a9e\u8a00\u6a21\u578b\u6548\u80fd\u7684\u65b9\u6cd5\uff0c\u800c\u9810\u7b97\u5f37\u5236\u662f\u4e00\u7a2e\u7c21\u55ae\u800c\u6709\u6548\u7684\u5be6\u73fe\u65b9\u5f0f\u3002\u900f\u904e\u4ed4\u7d30\u63a7\u5236\u8a08\u7b97\u91cf\u4e26\u7d50\u5408\u5176\u4ed6\u6280\u8853\uff0c\u53ef\u4ee5\u514b\u670d\u73fe\u6709\u7684\u5c40\u9650\u6027\uff0c\u9032\u4e00\u6b65\u63d0\u5347\u6a21\u578b\u7684\u63a8\u7406\u80fd\u529b\u3002<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"googlesitekit_rrm_CAowvqSiDA:productID":"","footnotes":""},"class_list":["post-4652","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/pages\/4652","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/comments?post=4652"}],"version-history":[{"count":0,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/pages\/4652\/revisions"}],"wp:attachment":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/media?parent=4652"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}