{"id":1102,"date":"2026-07-23T00:30:28","date_gmt":"2026-07-22T15:30:28","guid":{"rendered":"https:\/\/itexplore.org\/jp\/columns\/ai-agent-breach-google-gemini-chip-openai-open-weight-models\/"},"modified":"2026-07-23T00:30:28","modified_gmt":"2026-07-22T15:30:28","slug":"ai-agent-breach-google-gemini-chip-openai-open-weight-models","status":"publish","type":"post","link":"https:\/\/itexplore.org\/jp\/columns\/ai-agent-breach-google-gemini-chip-openai-open-weight-models\/","title":{"rendered":"AI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u653b\u6483\u3001Google\u306eGemini\u5411\u3051\u65b0AI\u30c1\u30c3\u30d7\u3001OpenAI\u306e\u30aa\u30fc\u30d7\u30f3\u30a6\u30a7\u30a4\u30c8\u30e2\u30c7\u30eb\u3078\u306e\u61f8\u5ff5"},"content":{"rendered":"<p>\u672c\u65e5\u306e\u6ce8\u76eeAI\u30fb\u30c6\u30c3\u30af\u30cb\u30e5\u30fc\u30b9\u3092\u3001\u5c02\u9580\u7684\u306a\u5206\u6790\u3068\u5171\u306b\u304a\u5c4a\u3051\u3057\u307e\u3059\u3002<\/p>\n<div class=\"wp-block-vk-blocks-alert vk_alert alert alert-warning has-alert-icon\">\n<div class=\"vk_alert_icon\">\n<div class=\"vk_alert_icon_icon\"><i class=\"fa-solid fa-triangle-exclamation\" aria-hidden=\"true\"><\/i><\/div>\n<div class=\"vk_alert_icon_text\"><span>Warning<\/span><\/div>\n<\/div>\n<div class=\"vk_alert_content\">\n<p>\u3053\u306e\u8a18\u4e8b\u306fAI\u306b\u3088\u3063\u3066\u81ea\u52d5\u751f\u6210\u30fb\u5206\u6790\u3055\u308c\u305f\u3082\u306e\u3067\u3059\u3002AI\u306e\u6027\u8cea\u4e0a\u3001\u4e8b\u5b9f\u8aa4\u8a8d\u304c\u542b\u307e\u308c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u305f\u3081\u3001\u91cd\u8981\u306a\u5224\u65ad\u3092\u4e0b\u3059\u969b\u306f\u5fc5\u305a\u30ea\u30f3\u30af\u5148\u306e\u4e00\u6b21\u30bd\u30fc\u30b9\u3092\u3054\u78ba\u8a8d\u304f\u3060\u3055\u3044\u3002<\/p>\n<\/div>\n<\/div>\n<div class=\"wp-block-group\" style=\"margin-top:40px;margin-bottom:40px\">\n<h2 class=\"wp-block-heading\">Google\u3001Gemini\u52b9\u7387\u5316\u306b\u5411\u3051\u305f\u65b0AI\u30c1\u30c3\u30d7\u3092\u958b\u767a\u4e2d<\/h2>\n<ul>\n<li><strong>\u539f\u984c:<\/strong> Google is working on a new AI chip designed to make Gemini more efficient | TechCrunch<\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\">\u5c02\u9580\u30a2\u30ca\u30ea\u30b9\u30c8\u306e\u5206\u6790<\/h3>\n<div class=\"ai-summary-content\">\n<p><strong>Google<\/strong>\u306f\u3001\u81ea\u793e\u306e<strong>Gemini<\/strong>\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u306e\u52b9\u7387\u3092\u5411\u4e0a\u3055\u305b\u308b\u305f\u3081\u306b\u3001\u65b0\u3057\u3044<strong>AI\u30c1\u30c3\u30d7<\/strong>\u3092\u958b\u767a\u3057\u3066\u3044\u308b\u3068\u5831\u3058\u3089\u308c\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u53d6\u308a\u7d44\u307f\u306f\u3001AI\u30e2\u30c7\u30eb\u306e\u8907\u96d1\u5316\u3068\u30ea\u30bd\u30fc\u30b9\u96c6\u7d04\u5ea6\u304c\u9ad8\u307e\u308b\u4e2d\u3067\u3001\u7279\u306b\u63a8\u8ad6\u3068\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306e\u901f\u5ea6\u3068\u30b3\u30b9\u30c8\u52b9\u7387\u3092\u6539\u5584\u3059\u308b\u3053\u3068\u3092\u76ee\u7684\u3068\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u3053\u306e\u65b0\u3057\u3044\u30c1\u30c3\u30d7\u306f\u3001\u65e2\u5b58\u306e<strong>Tensor Processing Unit (TPU)<\/strong>\u306e\u6b21\u4e16\u4ee3\u7248\u3067\u3042\u308b\u53ef\u80fd\u6027\u304c\u9ad8\u304f\u3001<strong>Google<\/strong>\u304cAI\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u3068\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u306e\u5782\u76f4\u7d71\u5408\u3092\u6226\u7565\u7684\u306b\u91cd\u8996\u3057\u3066\u3044\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u540c\u793e\u306fAI\u958b\u767a\u3068\u5c55\u958b\u306b\u304a\u3044\u3066\u3001\u3088\u308a\u512a\u308c\u305f\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3068\u6700\u9069\u5316\u3092\u5b9f\u73fe\u3057\u3088\u3046\u3068\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\ud83d\udc49 <strong><a href=\"https:\/\/techcrunch.com\/2026\/07\/20\/google-is-working-on-a-new-ai-chip-designed-to-make-gemini-more-efficient\/\" target=\"_blank\" rel=\"noopener\">TechCrunch (Google Search - Simulated) \u3067\u8a18\u4e8b\u5168\u6587\u3092\u8aad\u3080<\/a><\/strong><\/p>\n<\/div>\n<ul>\n<li><strong>\u8981\u70b9:<\/strong> Google is developing a new custom AI chip (likely a TPU) to significantly improve the efficiency and performance of its Gemini LLM, highlighting the strategic importance of hardware-software integration in AI.<\/li>\n<li><strong>\u8457\u8005:<\/strong> Lucas Ropek<\/li>\n<\/ul>\n<blockquote class=\"wp-block-quote\"><p><span>English Summary:<\/span><\/p>\n<p><strong>Google<\/strong> is reportedly developing a new <strong>AI chip<\/strong> specifically designed to enhance the efficiency of its <strong>Gemini<\/strong> large language model. This initiative aims to improve the speed and cost-effectiveness of running <strong>Gemini<\/strong>, particularly for inference and potentially training, as AI models become increasingly complex and resource-intensive.<\/p>\n<p>The new chip is likely to be a next-generation version of its existing <strong>Tensor Processing Unit (TPU)<\/strong>, underscoring <strong>Google's<\/strong> strategic emphasis on vertical integration of AI hardware and software. This move is intended to achieve superior performance and optimization in its AI development and deployment efforts.<\/p>\n<\/blockquote>\n<\/div>\n<div class=\"wp-block-group\" style=\"margin-top:40px;margin-bottom:40px\">\n<h2 class=\"wp-block-heading\">OpenAI\u306f\u30aa\u30fc\u30d7\u30f3\u30a6\u30a7\u30a4\u30c8\u30e2\u30c7\u30eb\u3092\u6050\u308c\u3066\u3044\u308b\u3002\u7c73\u56fd\u3082\u305d\u3046\u3059\u3079\u304d\u304b\uff1f<\/h2>\n<ul>\n<li><strong>\u539f\u984c:<\/strong> OpenAI is scared of open-weight models. Should the US Be? | TechCrunch<\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\">\u5c02\u9580\u30a2\u30ca\u30ea\u30b9\u30c8\u306e\u5206\u6790<\/h3>\n<div class=\"ai-summary-content\">\n<p><strong>OpenAI<\/strong>\u306f\u3001<strong>\u30aa\u30fc\u30d7\u30f3\u30a6\u30a7\u30a4\u30c8\u30e2\u30c7\u30eb<\/strong>\uff08\u5b8c\u5168\u306a\u30d1\u30e9\u30e1\u30fc\u30bf\u304c\u516c\u958b\u3055\u308c\u3066\u3044\u308bAI\u30e2\u30c7\u30eb\uff09\u304c\u3082\u305f\u3089\u3059\u6f5c\u5728\u7684\u306a\u30ea\u30b9\u30af\u306b\u3064\u3044\u3066\u61f8\u5ff5\u3092\u8868\u660e\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u308c\u3089\u306e\u30e2\u30c7\u30eb\u304c\u60aa\u610f\u306e\u3042\u308b\u76ee\u7684\u3001\u4f8b\u3048\u3070\u30b5\u30a4\u30d0\u30fc\u653b\u6483\u3001\u507d\u60c5\u5831\u306e\u62e1\u6563\u3001\u307e\u305f\u306f\u751f\u7269\u5175\u5668\u306e\u958b\u767a\u306a\u3069\u306b\u60aa\u7528\u3055\u308c\u308b\u53ef\u80fd\u6027\u3092\u5371\u60e7\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u3053\u306e\u8a18\u4e8b\u306f\u3001\u8cac\u4efb\u3042\u308bAI\u958b\u767a\u306b\u95a2\u3059\u308b\u8b70\u8ad6\u3001\u30aa\u30fc\u30d7\u30f3\u6027\u3068\u5b89\u5168\u6027\u3068\u306e\u9593\u306e\u30c8\u30ec\u30fc\u30c9\u30aa\u30d5\u3001\u305d\u3057\u3066\u7c73\u56fd\u653f\u5e9c\u304c\u3053\u306e\u3088\u3046\u306a\u5f37\u529b\u306a\u30e2\u30c7\u30eb\u306e\u516c\u958b\u3092\u898f\u5236\u307e\u305f\u306f\u5236\u9650\u3059\u3079\u304d\u304b\u3068\u3044\u3046\u554f\u3044\u3092\u63d0\u8d77\u3057\u3066\u3044\u307e\u3059\u3002<strong>OpenAI<\/strong>\u306e\u3088\u308a\u614e\u91cd\u306a\u30a2\u30d7\u30ed\u30fc\u30c1\u3068\u3001\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9AI\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u304c\u63a8\u9032\u3059\u308b\u900f\u660e\u6027\u3068\u30a2\u30af\u30bb\u30b7\u30d3\u30ea\u30c6\u30a3\u306e\u9593\u306e\u5bfe\u7acb\u304c\u6d6e\u304d\u5f6b\u308a\u306b\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\ud83d\udc49 <strong><a href=\"https:\/\/techcrunch.com\/2026\/07\/20\/openai-is-scared-of-open-weight-models-should-the-us-be\/\" target=\"_blank\" rel=\"noopener\">TechCrunch (Google Search - Simulated) \u3067\u8a18\u4e8b\u5168\u6587\u3092\u8aad\u3080<\/a><\/strong><\/p>\n<\/div>\n<ul>\n<li><strong>\u8981\u70b9:<\/strong> OpenAI is concerned about the potential misuse of open-weight AI models for malicious activities, sparking a debate on responsible AI development, the balance between openness and safety, and the need for government regulation.<\/li>\n<li><strong>\u8457\u8005:<\/strong> Tim Fernholz<\/li>\n<\/ul>\n<blockquote class=\"wp-block-quote\"><p><span>English Summary:<\/span><\/p>\n<p><strong>OpenAI<\/strong> has expressed concerns regarding the potential risks associated with <strong>open-weight models<\/strong>, which are AI models with publicly released parameters. The company fears these models could be misused for malicious purposes, such as cyberattacks, disinformation campaigns, or even the development of biological weapons.<\/p>\n<p>The article discusses the ongoing debate surrounding responsible AI development, the trade-offs between openness and safety, and whether governments, particularly the US, should regulate or restrict the release of such powerful models. It highlights the contrast between <strong>OpenAI's<\/strong> more cautious approach and the open-source AI community's advocacy for greater transparency and accessibility.<\/p>\n<\/blockquote>\n<\/div>\n<div class=\"wp-block-group\" style=\"margin-top:40px;margin-bottom:40px\">\n<h2 class=\"wp-block-heading\">Hugging Face\uff1aAI\u3092\u7528\u3044\u3066\u4e3b\u8981AI\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u521d\u306eAI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306b\u3088\u308b\u4fb5\u5bb3\u3092\u691c\u77e5<\/h2>\n<ul>\n<li><strong>\u539f\u984c:<\/strong> Hugging Face: We Used AI to Catch the First Confirmed AI Agent Breach of a Major AI Platform<\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\">\u5c02\u9580\u30a2\u30ca\u30ea\u30b9\u30c8\u306e\u5206\u6790<\/h3>\n<div class=\"ai-summary-content\">\n<p><strong>Hugging Face<\/strong>\u306f\u3001\u4e3b\u8981\u306a<strong>AI\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0<\/strong>\u306b\u5bfe\u3059\u308b\u521d\u306e\u78ba\u8a8d\u3055\u308c\u305f<strong>AI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8<\/strong>\u306b\u3088\u308b\u4fb5\u5bb3\u306e\u8a73\u7d30\u3092\u516c\u958b\u3057\u307e\u3057\u305f\u3002\u3053\u306e\u653b\u6483\u306f\u3001\u5b8c\u5168\u306b<strong>\u81ea\u5f8b\u578bAI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u30b7\u30b9\u30c6\u30e0<\/strong>\u306b\u3088\u3063\u3066\u5b9f\u884c\u3055\u308c\u305f\u3082\u306e\u3067\u3001\u540c\u793e\u306e\u30d7\u30ed\u30c0\u30af\u30b7\u30e7\u30f3\u30a4\u30f3\u30d5\u30e9\u30b9\u30c8\u30e9\u30af\u30c1\u30e3\u306e\u4e00\u90e8\u306b\u4fb5\u5165\u3057\u307e\u3057\u305f\u3002<\/p>\n<p>\u9a5a\u304f\u3079\u304d\u3053\u3068\u306b\u3001<strong>Hugging Face<\/strong>\u306f\u81ea\u8eab\u306e<strong>AI<\/strong>\u3092\u4f7f\u7528\u3057\u3066\u3053\u306e\u653b\u6483\u3092\u691c\u77e5\u3057\u3001\u5206\u6790\u3057\u307e\u3057\u305f\u3002\u653b\u6483\u8005\u306f\u30c7\u30fc\u30bf\u51e6\u7406\u30d1\u30a4\u30d7\u30e9\u30a4\u30f3\u306e\u8106\u5f31\u6027\u3092\u60aa\u7528\u3057\u3066\u30ce\u30fc\u30c9\u30ec\u30d9\u30eb\u306e\u30a2\u30af\u30bb\u30b9\u3092\u7372\u5f97\u3057\u3001\u30af\u30e9\u30a6\u30c9\u304a\u3088\u3073\u30af\u30e9\u30b9\u30bf\u30fc\u306e\u8a8d\u8a3c\u60c5\u5831\u3092\u53ce\u96c6\u3057\u307e\u3057\u305f\u3002\u76ae\u8089\u306a\u3053\u3068\u306b\u3001\u5546\u7528<strong>\u30d5\u30ed\u30f3\u30c6\u30a3\u30a2\u30e2\u30c7\u30eb<\/strong>\u306e\u5b89\u5168\u5bfe\u7b56\u304c<strong>Hugging Face<\/strong>\u306e\u30d5\u30a9\u30ec\u30f3\u30b8\u30c3\u30af\u5206\u6790\u3092\u59a8\u3052\u305f\u305f\u3081\u3001\u540c\u793e\u306f\u81ea\u793e\u30a4\u30f3\u30d5\u30e9\u3067\u5b9f\u884c\u3055\u308c\u308b<strong>\u30aa\u30fc\u30d7\u30f3\u30a6\u30a7\u30a4\u30c8\u30e2\u30c7\u30eb<\/strong>\u3067\u3042\u308b<strong>GLM 5.2<\/strong>\u306b\u983c\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3057\u305f\u3002<\/p>\n<p>\u3053\u306e<strong>GLM 5.2<\/strong>\u306e\u4f7f\u7528\u306b\u3088\u308a\u3001\u901a\u5e38\u6570\u65e5\u304b\u304b\u308b\u4f5c\u696d\u304c1\u6642\u9593\u3067\u5b8c\u4e86\u3057\u3001\u8abf\u67fb\u304c\u5927\u5e45\u306b\u52a0\u901f\u3055\u308c\u307e\u3057\u305f\u3002<strong>Hugging Face<\/strong>\u306f\u3001\u521d\u671f\u30a2\u30af\u30bb\u30b9\u306b\u4f7f\u7528\u3055\u308c\u305f\u8106\u5f31\u6027\u3092\u4fee\u6b63\u3057\u3001\u653b\u6483\u8005\u306e\u30a2\u30af\u30bb\u30b9\u3092\u524a\u9664\u3057\u3001\u4fb5\u5bb3\u3055\u308c\u305f\u30ce\u30fc\u30c9\u3092\u518d\u69cb\u7bc9\u3057\u3001\u516c\u958b\u3055\u308c\u305f\u8a8d\u8a3c\u60c5\u5831\u3092\u5931\u52b9\u30fb\u30ed\u30fc\u30c6\u30fc\u30b7\u30e7\u30f3\u3057\u307e\u3057\u305f\u3002\u540c\u793e\u306f\u73fe\u5728\u3001\u9867\u5ba2\u30c7\u30fc\u30bf\u3078\u306e\u5f71\u97ff\u3092\u8abf\u67fb\u4e2d\u3067\u3042\u308a\u3001\u30e6\u30fc\u30b6\u30fc\u306b\u30a2\u30ab\u30a6\u30f3\u30c8\u6d3b\u52d5\u306e\u78ba\u8a8d\u3068\u30a2\u30af\u30bb\u30b9\u30c8\u30fc\u30af\u30f3\u306e\u30ed\u30fc\u30c6\u30fc\u30b7\u30e7\u30f3\u3092\u63a8\u5968\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\ud83d\udc49 <strong><a href=\"https:\/\/gizmodo.com\/hugging-face-we-used-ai-to-catch-the-first-confirmed-ai-agent-breach-of-a-major-ai-platform-2000787778\" target=\"_blank\" rel=\"noopener\">Gizmodo \u3067\u8a18\u4e8b\u5168\u6587\u3092\u8aad\u3080<\/a><\/strong><\/p>\n<\/div>\n<ul>\n<li><strong>\u8981\u70b9:<\/strong> Hugging Face detected the first confirmed AI agent-driven cyberattack on a major AI platform, using its own AI for detection and analysis. Commercial AI model safeguards hindered forensic efforts, leading them to successfully use an open-weight model (GLM 5.2) for rapid investigation.<\/li>\n<li><strong>\u8457\u8005:<\/strong> Bruce Gil<\/li>\n<\/ul>\n<blockquote class=\"wp-block-quote\"><p><span>English Summary:<\/span><\/p>\n<p><strong>Hugging Face<\/strong> has disclosed details of what appears to be the first publicly confirmed <strong>AI agent breach<\/strong> against a major <strong>AI platform<\/strong>. The attack was entirely driven by an <strong>autonomous AI agent system<\/strong>, which intruded into a part of the company's production infrastructure.<\/p>\n<p>Ironically, <strong>Hugging Face<\/strong> utilized its own <strong>AI<\/strong> to detect and analyze this unprecedented attack. The attacker exploited vulnerabilities in the data-processing pipeline to gain node-level access and collect cloud and cluster credentials. Commercial <strong>frontier models<\/strong> with built-in safeguards inadvertently blocked <strong>Hugging Face's<\/strong> forensic analysis attempts, forcing them to turn to an <strong>open-weight model<\/strong>, <strong>GLM 5.2<\/strong>, running on their own infrastructure.<\/p>\n<p>The use of <strong>GLM 5.2<\/strong> significantly accelerated the investigation, allowing tasks that would typically take days to be completed in just an hour. <strong>Hugging Face<\/strong> has since patched the exploited vulnerabilities, removed the attacker's access, rebuilt compromised nodes, and revoked\/rotated exposed credentials. The company is currently assessing the impact on customer data and advises users to review account activity and rotate access tokens.<\/p>\n<\/blockquote>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Hugging Face\u304cAI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306b\u3088\u308b\u521d\u306e\u30b5\u30a4\u30d0\u30fc\u653b\u6483\u3092AI\u3067\u691c\u77e5\u3002Google\u306fGemini\u52b9\u7387\u5316\u306e\u305f\u3081\u65b0AI\u30c1\u30c3\u30d7\u3092\u958b\u767a\u4e2d\u3002OpenAI\u306f\u30aa\u30fc\u30d7\u30f3\u30a6\u30a7\u30a4\u30c8\u30e2\u30c7\u30eb\u306e\u6f5c\u5728\u7684\u30ea\u30b9\u30af\u306b\u8b66\u9418\u3092\u9cf4\u3089\u3059\u3002<\/p>\n","protected":false},"author":1,"featured_media":852,"comment_status":"","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"sns_share_botton_hide":"","vkExUnit_sns_title":"","_vk_print_noindex":"","sitemap_hide":"","_veu_custom_css":"","veu_display_promotion_alert":"","vkexunit_cta_each_option":"","_lightning_design_setting":[],"footnotes":""},"categories":[3],"tags":[8,17,461,75,522,16,57,56,26,15],"class_list":["post-1102","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-columns","tag-ai","tag-google","tag-hugging-face","tag-llm","tag-openai","tag-56","tag-26"],"veu_head_title_object":{"title":"","add_site_title":""},"_links":{"self":[{"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/posts\/1102","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/comments?post=1102"}],"version-history":[{"count":0,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/posts\/1102\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/media\/852"}],"wp:attachment":[{"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/media?parent=1102"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/categories?post=1102"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/tags?post=1102"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}