{"id":1009,"date":"2026-04-26T01:30:30","date_gmt":"2026-04-25T16:30:30","guid":{"rendered":"https:\/\/itexplore.org\/jp\/columns\/introducing-gpt-5-5-ai-agents-cybersecurity-advancements\/"},"modified":"2026-04-26T01:30:30","modified_gmt":"2026-04-25T16:30:30","slug":"introducing-gpt-5-5-ai-agents-cybersecurity-advancements","status":"publish","type":"post","link":"https:\/\/itexplore.org\/jp\/columns\/introducing-gpt-5-5-ai-agents-cybersecurity-advancements\/","title":{"rendered":"GPT-5.5\u767a\u8868\uff1aAI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u80fd\u529b\u3068\u30b5\u30a4\u30d0\u30fc\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u306e\u9032\u5316"},"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\">GPT-5.5\u306e\u7d39\u4ecb\uff1a\u5b9f\u52d9\u306e\u305f\u3081\u306e\u65b0\u3057\u3044\u30af\u30e9\u30b9\u306e\u77e5\u80fd<\/h2>\n<ul>\n<li><strong>\u539f\u984c:<\/strong> Introducing GPT-5.5 | OpenAI<\/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\u3053\u308c\u307e\u3067\u3067\u6700\u3082\u30b9\u30de\u30fc\u30c8\u3067\u76f4\u611f\u7684\u306a\u30e2\u30c7\u30eb\u3067\u3042\u308b<strong>GPT-5.5<\/strong>\u3092\u767a\u8868\u3057\u307e\u3057\u305f\u3002\u3053\u308c\u306f\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc\u3067\u306e\u4f5c\u696d\u65b9\u6cd5\u3092\u6839\u672c\u7684\u306b\u5909\u3048\u308b\u6b21\u4e16\u4ee3\u306e\u77e5\u80fd\u3068\u3057\u3066\u4f4d\u7f6e\u3065\u3051\u3089\u308c\u3066\u3044\u307e\u3059\u3002<strong>GPT-5.5<\/strong>\u306f\u3001\u30e6\u30fc\u30b6\u30fc\u306e\u610f\u56f3\u3092\u3088\u308a\u901f\u304f\u7406\u89e3\u3057\u3001\u30bf\u30b9\u30af\u306e\u5927\u90e8\u5206\u3092\u81ea\u5f8b\u7684\u306b\u5b9f\u884c\u3067\u304d\u308b\u80fd\u529b\u3092\u5099\u3048\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u3053\u306e\u30e2\u30c7\u30eb\u306f\u3001<strong>\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u578b\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0<\/strong>\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc\u5229\u7528\u3001\u77e5\u8b58\u4f5c\u696d\u3001\u304a\u3088\u3073\u521d\u671f\u306e\u79d1\u5b66\u7814\u7a76\u3068\u3044\u3063\u305f\u5206\u91ce\u3067\u7279\u306b\u5f37\u529b\u306a\u9032\u6b69\u3092\u9042\u3052\u3066\u3044\u307e\u3059\u3002\u8907\u96d1\u306a\u591a\u6bb5\u968e\u306e\u30bf\u30b9\u30af\u3092\u8a08\u753b\u3057\u3001\u30c4\u30fc\u30eb\u3092\u4f7f\u7528\u3057\u3001\u4f5c\u696d\u3092\u78ba\u8a8d\u3057\u3001\u66d6\u6627\u3055\u3092\u4e57\u308a\u8d8a\u3048\u3066\u7d99\u7d9a\u3059\u308b\u80fd\u529b\u304c\u5411\u4e0a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p><strong>GPT-5.5<\/strong>\u306f\u3001<strong>GPT-5.4<\/strong>\u3068\u540c\u7b49\u306e\u30c8\u30fc\u30af\u30f3\u3042\u305f\u308a\u306e\u30ec\u30a4\u30c6\u30f3\u30b7\u30fc\u3092\u7dad\u6301\u3057\u3064\u3064\u3001\u306f\u308b\u304b\u306b\u9ad8\u3044\u30ec\u30d9\u30eb\u306e\u77e5\u80fd\u3092\u767a\u63ee\u3057\u3001\u540c\u3058<strong>Codex<\/strong>\u30bf\u30b9\u30af\u3092\u5b8c\u4e86\u3059\u308b\u305f\u3081\u306b\u3088\u308a\u5c11\u306a\u3044\u30c8\u30fc\u30af\u30f3\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u52b9\u7387\u6027\u3082\u5411\u4e0a\u3057\u3066\u3044\u307e\u3059\u3002\u307e\u305f\u3001\u8aa4\u7528\u3092\u6e1b\u3089\u3057\u3064\u3064\u6709\u76ca\u306a\u4f5c\u696d\u3078\u306e\u30a2\u30af\u30bb\u30b9\u3092\u7dad\u6301\u3059\u308b\u305f\u3081\u306b\u3001\u3053\u308c\u307e\u3067\u3067\u6700\u3082\u5f37\u529b\u306a\u30bb\u30fc\u30d5\u30ac\u30fc\u30c9\u304c\u5c0e\u5165\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3067\u306f\u3001<strong>Terminal-Bench 2.0<\/strong>\u306782.7%\u3001<strong>SWE-Bench Pro<\/strong>\u306758.6%\u306e\u7cbe\u5ea6\u3092\u9054\u6210\u3057\u3001<strong>Expert-SWE<\/strong>\u3067\u3082<strong>GPT-5.4<\/strong>\u3092\u4e0a\u56de\u308b\u6027\u80fd\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002\u77e5\u8b58\u4f5c\u696d\u306b\u304a\u3044\u3066\u3082\u3001<strong>GDPval<\/strong>\u306784.9%\u3001<strong>OSWorld-Verified<\/strong>\u306778.7%\u3092\u8a18\u9332\u3057\u3001\u60c5\u5831\u691c\u7d22\u3001\u7406\u89e3\u3001\u30c4\u30fc\u30eb\u4f7f\u7528\u3001\u51fa\u529b\u751f\u6210\u306e\u30eb\u30fc\u30d7\u5168\u4f53\u3067\u512a\u308c\u305f\u80fd\u529b\u3092\u767a\u63ee\u3057\u307e\u3059\u3002<\/p>\n<p>\u79d1\u5b66\u7814\u7a76\u306e\u5206\u91ce\u3067\u306f\u3001\u907a\u4f1d\u5b66\u3084\u5b9a\u91cf\u7684\u751f\u7269\u5b66\u306b\u304a\u3051\u308b\u591a\u6bb5\u968e\u306e\u79d1\u5b66\u30c7\u30fc\u30bf\u5206\u6790\u306b\u7126\u70b9\u3092\u5f53\u3066\u305f\u65b0\u3057\u3044\u8a55\u4fa1\u3067\u3042\u308b<strong>GeneBench<\/strong>\u304a\u3088\u3073<strong>BixBench<\/strong>\u3067\u9855\u8457\u306a\u6539\u5584\u304c\u898b\u3089\u308c\u307e\u3059\u3002\u3055\u3089\u306b\u3001\u7d44\u307f\u5408\u308f\u305b\u8ad6\u306b\u304a\u3051\u308b<strong>\u30e9\u30e0\u30bc\u30fc\u6570<\/strong>\u306b\u95a2\u3059\u308b\u65b0\u3057\u3044\u8a3c\u660e\u306e\u767a\u898b\u306b\u3082\u8ca2\u732e\u3057\u307e\u3057\u305f\u3002<\/p>\n<p>\u63a8\u8ad6\u52b9\u7387\u306e\u9762\u3067\u306f\u3001<strong>GPT-5.5<\/strong>\u306f<strong>NVIDIA GB200<\/strong>\u304a\u3088\u3073<strong>GB300 NVL72\u30b7\u30b9\u30c6\u30e0<\/strong>\u5411\u3051\u306b\u5171\u540c\u8a2d\u8a08\u30fb\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3055\u308c\u3066\u304a\u308a\u3001\u30ed\u30fc\u30c9\u30d0\u30e9\u30f3\u30b7\u30f3\u30b0\u3068\u30d1\u30fc\u30c6\u30a3\u30b7\u30e7\u30cb\u30f3\u30b0\u306e\u30d2\u30e5\u30fc\u30ea\u30b9\u30c6\u30a3\u30c3\u30af\u306e\u6539\u5584\u306b\u3088\u308a\u3001\u30c8\u30fc\u30af\u30f3\u751f\u6210\u901f\u5ea6\u304c20%\u4ee5\u4e0a\u5411\u4e0a\u3057\u307e\u3057\u305f\u3002\u30b5\u30a4\u30d0\u30fc\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u5bfe\u7b56\u3082\u5f37\u5316\u3055\u308c\u3001\u6f5c\u5728\u7684\u306a\u30b5\u30a4\u30d0\u30fc\u30ea\u30b9\u30af\u306b\u5bfe\u3059\u308b\u3088\u308a\u53b3\u683c\u306a\u5206\u985e\u5668\u304c\u5c0e\u5165\u3055\u308c\u3001\u691c\u8a3c\u6e08\u307f\u30e6\u30fc\u30b6\u30fc\u5411\u3051\u306e<strong>Trusted Access for Cyber<\/strong>\u3092\u901a\u3058\u3066\u3001\u9632\u5fa1\u7684\u306a\u4f5c\u696d\u306e\u305f\u3081\u306e\u9ad8\u5ea6\u306a\u6a5f\u80fd\u304c\u63d0\u4f9b\u3055\u308c\u307e\u3059\u3002<\/p>\n<p><strong>GPT-5.5<\/strong>\u306f\u3001<strong>ChatGPT<\/strong>\u304a\u3088\u3073<strong>Codex<\/strong>\u306ePlus\u3001Pro\u3001Business\u3001Enterprise\u30e6\u30fc\u30b6\u30fc\u306b\u5c55\u958b\u3055\u308c\u3066\u304a\u308a\u3001API\u3067\u3082\u9593\u3082\u306a\u304f\u5229\u7528\u53ef\u80fd\u306b\u306a\u308a\u307e\u3059\u3002API\u306e\u4fa1\u683c\u306f\u3001<strong>gpt-5.5<\/strong>\u304c\u5165\u529b\u30c8\u30fc\u30af\u30f3100\u4e07\u3042\u305f\u308a5\u30c9\u30eb\u3001\u51fa\u529b\u30c8\u30fc\u30af\u30f3100\u4e07\u3042\u305f\u308a30\u30c9\u30eb\u3001<strong>gpt-5.5-pro<\/strong>\u304c\u5165\u529b\u30c8\u30fc\u30af\u30f3100\u4e07\u3042\u305f\u308a30\u30c9\u30eb\u3001\u51fa\u529b\u30c8\u30fc\u30af\u30f3100\u4e07\u3042\u305f\u308a180\u30c9\u30eb\u3067\u3059\u3002<\/p>\n<p>\ud83d\udc49 <strong><a href=\"https:\/\/openai.com\/index\/introducing-gpt-5-5\/\" target=\"_blank\" rel=\"noopener\">OpenAI \u3067\u8a18\u4e8b\u5168\u6587\u3092\u8aad\u3080<\/a><\/strong><\/p>\n<\/div>\n<ul>\n<li><strong>\u8981\u70b9:<\/strong> GPT-5.5 significantly advances AI agent capabilities across coding, knowledge work, and scientific research, emphasizing efficiency and robust cybersecurity safeguards, and is designed for real-world complex tasks.<\/li>\n<li><strong>\u8457\u8005:<\/strong> rd<\/li>\n<\/ul>\n<blockquote class=\"wp-block-quote\"><p><span>English Summary:<\/span><\/p>\n<p><strong>OpenAI<\/strong> has introduced <strong>GPT-5.5<\/strong>, positioning it as their smartest and most intuitive model to date, representing the next step towards a new way of getting work done on a computer. <strong>GPT-5.5<\/strong> is designed to understand user intent faster and can autonomously carry out more of the work itself.<\/p>\n<p>The model demonstrates significant advancements in areas such as <strong>agentic coding<\/strong>, computer use, knowledge work, and early scientific research. It excels at planning, using tools, checking its work, navigating ambiguity, and persisting through complex, multi-part tasks.<\/p>\n<p><strong>GPT-5.5<\/strong> matches <strong>GPT-5.4<\/strong>'s per-token latency while delivering a much higher level of intelligence and using significantly fewer tokens to complete the same <strong>Codex<\/strong> tasks, enhancing its efficiency. It is also released with <strong>OpenAI's<\/strong> strongest set of safeguards to date, aimed at reducing misuse while preserving access for beneficial work.<\/p>\n<p>In coding benchmarks, <strong>GPT-5.5<\/strong> achieved 82.7% accuracy on <strong>Terminal-Bench 2.0<\/strong> and 58.6% on <strong>SWE-Bench Pro<\/strong>, outperforming <strong>GPT-5.4<\/strong> on <strong>Expert-SWE<\/strong>. For knowledge work, it scored 84.9% on <strong>GDPval<\/strong> and 78.7% on <strong>OSWorld-Verified<\/strong>, demonstrating enhanced capabilities across the full loop of information finding, understanding, tool use, and output generation.<\/p>\n<p>In scientific research, <strong>GPT-5.5<\/strong> shows clear improvements on <strong>GeneBench<\/strong> and <strong>BixBench<\/strong>, new evaluations focusing on multi-stage scientific data analysis in genetics and quantitative biology. Notably, an internal version of <strong>GPT-5.5<\/strong> also contributed to discovering a new proof about <strong>Ramsey numbers<\/strong> in combinatorics.<\/p>\n<p>Regarding inference efficiency, <strong>GPT-5.5<\/strong> was co-designed for and trained on <strong>NVIDIA GB200<\/strong> and <strong>GB300 NVL72 systems<\/strong>. Improvements in load balancing and partitioning heuristics, aided by <strong>Codex<\/strong>, led to over 20% faster token generation speeds. Cybersecurity capabilities are also advanced with stricter classifiers for potential cyber risk and the introduction of <strong>Trusted Access for Cyber<\/strong> for verified users to access advanced defensive features.<\/p>\n<p><strong>GPT-5.5<\/strong> is rolling out to Plus, Pro, Business, and Enterprise users in <strong>ChatGPT<\/strong> and <strong>Codex<\/strong>, with API access coming soon. API pricing for <strong>gpt-5.5<\/strong> is $5 per 1M input tokens and $30 per 1M output tokens, while <strong>gpt-5.5-pro<\/strong> is priced at $30 per 1M input tokens and $180 per 1M output tokens.<\/p>\n<\/blockquote>\n<\/div>\n<div class=\"wp-block-group\" style=\"margin-top:40px;margin-bottom:40px\">\n<h2 class=\"wp-block-heading\">Bret Taylor\u306eSierra\u304cYC\u652f\u63f4\u306eAI\u30b9\u30bf\u30fc\u30c8\u30a2\u30c3\u30d7Fragment\u3092\u8cb7\u53ce<\/h2>\n<ul>\n<li><strong>\u539f\u984c:<\/strong> Bret Taylor's Sierra buys YC-backed AI startup Fragment | 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>\u7533\u3057\u8a33\u3042\u308a\u307e\u305b\u3093\u304c\u3001\u3053\u306eURL\u306e\u30b3\u30f3\u30c6\u30f3\u30c4\u306b\u306f\u30a2\u30af\u30bb\u30b9\u3067\u304d\u307e\u305b\u3093\u3067\u3057\u305f\u3002\u307e\u305f\u3001\u6307\u5b9a\u3055\u308c\u305f\u30c4\u30fc\u30eb\u64cd\u4f5c\u306e\u7bc4\u56f2\u5185\u3067\u3001\u4ee3\u66ff\u306e\u30cb\u30e5\u30fc\u30b9\u8a18\u4e8b\u3084\u60c5\u5831\u3092\u898b\u3064\u3051\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u305b\u3093\u3067\u3057\u305f\u3002<\/p>\n<p>\ud83d\udc49 <strong><a href=\"https:\/\/techcrunch.com\/2026\/04\/23\/bret-taylors-sierra-buys-yc-backed-ai-startup-fragment\/\" target=\"_blank\" rel=\"noopener\">TechCrunch \u3067\u8a18\u4e8b\u5168\u6587\u3092\u8aad\u3080<\/a><\/strong><\/p>\n<\/div>\n<ul>\n<li><strong>\u8981\u70b9:<\/strong> Content inaccessible; unable to summarize.<\/li>\n<li><strong>\u8457\u8005:<\/strong> Dominic-madori Davis<\/li>\n<\/ul>\n<blockquote class=\"wp-block-quote\"><p><span>English Summary:<\/span><\/p>\n<p>I am sorry, but the content of this URL was inaccessible. Furthermore, I was unable to find alternative news articles or information within the specified tool operations.<\/p>\n<\/blockquote>\n<\/div>\n<div class=\"wp-block-group\" style=\"margin-top:40px;margin-bottom:40px\">\n<h2 class=\"wp-block-heading\">AI\u30c1\u30c3\u30d7\u306e\u65b0\u305f\u306a\u5c55\u958b\uff1aMeta\u304cAmazon AI CPU\u6570\u767e\u4e07\u500b\u306e\u5951\u7d04\u3092\u7de0\u7d50<\/h2>\n<ul>\n<li><strong>\u539f\u984c:<\/strong> In another wild turn for AI chips, Meta signs deal for millions of Amazon AI CPUs | 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>\u7533\u3057\u8a33\u3042\u308a\u307e\u305b\u3093\u304c\u3001\u3053\u306eURL\u306e\u30b3\u30f3\u30c6\u30f3\u30c4\u306b\u306f\u30a2\u30af\u30bb\u30b9\u3067\u304d\u307e\u305b\u3093\u3067\u3057\u305f\u3002\u307e\u305f\u3001\u6307\u5b9a\u3055\u308c\u305f\u30c4\u30fc\u30eb\u64cd\u4f5c\u306e\u7bc4\u56f2\u5185\u3067\u3001\u4ee3\u66ff\u306e\u30cb\u30e5\u30fc\u30b9\u8a18\u4e8b\u3084\u60c5\u5831\u3092\u898b\u3064\u3051\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u305b\u3093\u3067\u3057\u305f\u3002<\/p>\n<p>\ud83d\udc49 <strong><a href=\"https:\/\/techcrunch.com\/2026\/04\/24\/in-another-wild-turn-for-ai-chips-meta-signs-deal-for-millions-of-amazon-ai-cpus\/\" target=\"_blank\" rel=\"noopener\">TechCrunch \u3067\u8a18\u4e8b\u5168\u6587\u3092\u8aad\u3080<\/a><\/strong><\/p>\n<\/div>\n<ul>\n<li><strong>\u8981\u70b9:<\/strong> Content inaccessible; unable to summarize.<\/li>\n<li><strong>\u8457\u8005:<\/strong> Julie Bort<\/li>\n<\/ul>\n<blockquote class=\"wp-block-quote\"><p><span>English Summary:<\/span><\/p>\n<p>I am sorry, but the content of this URL was inaccessible. Furthermore, I was unable to find alternative news articles or information within the specified tool operations.<\/p>\n<\/blockquote>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>OpenAI\u304cGPT-5.5\u3092\u767a\u8868\u3002\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u578b\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u3001\u77e5\u8b58\u4f5c\u696d\u3001\u79d1\u5b66\u7814\u7a76\u306b\u304a\u3051\u308b\u5927\u5e45\u306a\u6027\u80fd\u5411\u4e0a\u3068\u3001\u30b5\u30a4\u30d0\u30fc\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u5bfe\u7b56\u306e\u5f37\u5316\u306b\u7126\u70b9\u3092\u5f53\u3066\u307e\u3059\u3002<\/p>\n","protected":false},"author":1,"featured_media":852,"comment_status":"","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"vkexunit_cta_each_option":"","footnotes":""},"categories":[3],"tags":[8,17,361,16,57,56,26,15],"class_list":{"0":"post-1009","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","6":"hentry","7":"category-columns","8":"tag-ai","10":"tag-gpt-5-5","11":"tag-llm","12":"tag-openai","13":"tag-56","14":"tag-26"},"_links":{"self":[{"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/posts\/1009","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=1009"}],"version-history":[{"count":0,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/posts\/1009\/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=1009"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/categories?post=1009"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/tags?post=1009"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}