{"id":2618,"date":"2026-04-05T20:20:51","date_gmt":"2026-04-05T11:20:51","guid":{"rendered":"https:\/\/jinrai.co.jp\/?p=2618"},"modified":"2026-04-23T10:37:29","modified_gmt":"2026-04-23T01:37:29","slug":"ai-news-202604","status":"publish","type":"post","link":"https:\/\/jinrai.co.jp\/en\/blog\/2026\/04\/05\/ai-news-202604\/","title":{"rendered":"\u30102026\u5e744\u6708\u3011\u751f\u6210AI10\u5927\u30cb\u30e5\u30fc\u30b9\u2014\u201430\u79d2\u3067\u308f\u304b\u308b\u4eca\u6708\u306eAI\u696d\u754c"},"content":{"rendered":"

2026\u5e744\u6708\u306f\u300cAI\u53f2\u4e0a\u6700\u3082\u7af6\u4e89\u304c\u6fc0\u3057\u3044\u6708\u300d\u306b\u306a\u308a\u307e\u3057\u305f\u3002Anthropic\u30fbOpenAI\u30fbGoogle\u30fbMeta\u306e4\u793e\u304c\u540c\u6642\u306b\u30d5\u30ed\u30f3\u30c6\u30a3\u30a2\u30e2\u30c7\u30eb\u3092\u6295\u5165\u3057\u3001\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u304c\u30af\u30ed\u30fc\u30ba\u30c9\u30e2\u30c7\u30eb\u306b\u8ffd\u3044\u3064\u304d\u3001\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u30ea\u30b9\u30af\u304b\u3089\u516c\u958b\u3092\u898b\u9001\u3089\u308c\u308b\u30e2\u30c7\u30eb\u304c\u521d\u3081\u3066\u767b\u5834\u3057\u307e\u3057\u305f\u3002\u672c\u8a18\u4e8b\u3067\u306f4\u6708\u306e\u4e3b\u8981\u30cb\u30e5\u30fc\u30b9\u3092\u6642\u7cfb\u5217\u3067\u6574\u7406\u3057\u3001\u305d\u308c\u305e\u308c\u306e\u5f71\u97ff\u3068\u30d3\u30b8\u30cd\u30b9\u3078\u306e\u793a\u5506\u3092\u89e3\u8aac\u3057\u307e\u3059\u3002<\/p>\n

\n

\ud83d\udcca 2026\u5e744\u6708\u306e\u6570\u5b57\u3067\u898b\u308bAI\u696d\u754c<\/p>\n

\n
\n

255+<\/p>\n

Q1\u306e\u30e2\u30c7\u30eb\u30ea\u30ea\u30fc\u30b9\u6570<\/p>\n<\/div>\n

\n

57.18<\/p>\n

Intelligence Index\u5929\u4e95<\/p>\n<\/div>\n

\n

$250\u5104<\/p>\n

OpenAI\u5e74\u9593\u53ce\u76ca<\/p>\n<\/div>\n

\n

94.6%<\/p>\n

GLM-5.1\u306eClaude\u5bfe\u6bd4<\/p>\n<\/div>\n<\/div>\n<\/div>\n

2026\u5e744\u6708\u306eAI\u30cb\u30e5\u30fc\u30b9\u4e00\u89a7<\/h2>\n

\u5f71\u97ff\u5ea6\u306f\u5f53\u793e\u306e\u72ec\u81ea\u8a55\u4fa1\u3067\u3059\u3002\u2605\u2605\u2605\u2605\u2605\u304c\u6700\u9ad8\u3002\u5404\u30cb\u30e5\u30fc\u30b9\u306e\u8a73\u7d30\u8a18\u4e8b\u3078\u306e\u30ea\u30f3\u30af\u3092\u63b2\u8f09\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n

\n
\n2026\/4\/7<\/span>
\nAnthropic<\/span>\n<\/div>\n

Claude Mythos Preview\u2014\u2014\u300c\u5f37\u3059\u304e\u3066\u4e00\u822c\u516c\u958b\u3067\u304d\u306a\u3044\u300dAI\u304c\u521d\u3081\u3066\u767b\u5834<\/p>\n

Anthropic\u304c\u5185\u90e8\u30b3\u30fc\u30c9\u540d\u300cCapybara\u300d\u3067\u958b\u767a\u3057\u305f\u6b21\u4e16\u4ee3\u30e2\u30c7\u30eb\u3002SWE-bench Pro 77.8%\u3001\u30bc\u30ed\u30c7\u30a4\u8106\u5f31\u6027\u30924\u4ef6\u767a\u898b\u3059\u308b\u30b5\u30a4\u30d0\u30fc\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u80fd\u529b\u3092\u6301\u3064\u3002\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u30ea\u30b9\u30af\u3092\u7406\u7531\u306b\u4e00\u822c\u516c\u958b\u3092\u898b\u9001\u308a\u300150\u7d44\u7e54\u9650\u5b9a\u306eProject Glasswing\u306e\u307f\u3067\u63d0\u4f9b\u3002AI\u30e2\u30c7\u30eb\u304c\u300c\u5f37\u3059\u304e\u3066\u516c\u958b\u3067\u304d\u306a\u3044\u300d\u3068\u5224\u65ad\u3055\u308c\u305f\u53f2\u4e0a\u521d\u306e\u4e8b\u4f8b\u3002<\/p>\n

\n\u5f71\u97ff\u5ea6 \u2605\u2605\u2605\u2605\u2605<\/span>
\n\u2192 \u8a73\u7d30\u8a18\u4e8b\u3092\u8aad\u3080<\/a>\n<\/div>\n<\/div>\n
\n
\n2026\/4\/5<\/span>
\nMeta<\/span>\n<\/div>\n

Meta Llama 4 Maverick \/ Scout\u2014\u201410M\u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u30fbMoE\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u3067\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306e\u65b0\u5883\u5730<\/p>\n

Meta\u304cLlama 4\u30d5\u30a1\u30df\u30ea\u30fc\u3092\u516c\u958b\u3002Scout\u306f10M\u30c8\u30fc\u30af\u30f3\u306e\u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u30a6\u30a3\u30f3\u30c9\u30a6\u3092\u5b9f\u73fe\u3057\u3001Maverick\u306fMixture of Experts\uff08MoE\uff09\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u3092\u63a1\u7528\u3057\u305f400B\u30d1\u30e9\u30e1\u30fc\u30bf\u30e2\u30c7\u30eb\u3002Apache 2.0\u30e9\u30a4\u30bb\u30f3\u30b9\u3067\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u3002\u9577\u6587\u51e6\u7406\u3068\u52b9\u7387\u6027\u306e\u4e21\u7acb\u3092\u5b9f\u73fe\u3057\u3001\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u30e2\u30c7\u30eb\u306e\u53ef\u80fd\u6027\u3092\u5927\u5e45\u306b\u62e1\u5f35\u3002<\/p>\n

\n\u5f71\u97ff\u5ea6 \u2605\u2605\u2605\u2605\u2606<\/span><\/p>\n<\/div>\n<\/div>\n
\n
\n2026\/4\/8<\/span>
\nMeta<\/span>\n<\/div>\n

Meta Muse Spark\u2014\u2014Meta\u304cAI\u53f2\u4e0a\u521d\u306e\u300c\u30d7\u30ed\u30d7\u30e9\u30a4\u30a8\u30bf\u30ea\u300d\u30e2\u30c7\u30eb\u3092\u6295\u5165<\/p>\n

Meta\u304c\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u8def\u7dda\u3092\u7dad\u6301\u3057\u3064\u3064\u3001\u521d\u3081\u3066\u30af\u30ed\u30fc\u30ba\u30c9\u30e2\u30c7\u30eb\u300cMuse Spark\u300d\u3092\u516c\u958b\u3002Artificial Analysis Intelligence Index\u306752\u3092\u8a18\u9332\u3002\u30aa\u30fc\u30d7\u30f3\uff08Llama\uff09\u3068\u30af\u30ed\u30fc\u30ba\u30c9\uff08Muse\uff09\u306e\u4e8c\u672c\u7acb\u3066\u6226\u7565\u3078\u306e\u8ee2\u63db\u3092\u793a\u3059\u30b7\u30b0\u30ca\u30eb\u3002<\/p>\n

\n\u5f71\u97ff\u5ea6 \u2605\u2605\u2605\u2606\u2606<\/span><\/p>\n<\/div>\n<\/div>\n
\n
\n2026\/3\/24-4\u6708<\/span>
\nOpenAI<\/span>\n<\/div>\n

GPT-5.5\uff08\u30b3\u30fc\u30c9\u30cd\u30fc\u30e0: Spud\uff09\u2014\u2014\u4e8b\u524d\u5b66\u7fd2\u5b8c\u4e86\u3001\u6570\u9031\u9593\u4ee5\u5185\u306b\u30ea\u30ea\u30fc\u30b9\u304b<\/p>\n

OpenAI\u306e\u6b21\u671f\u30d5\u30e9\u30c3\u30b0\u30b7\u30c3\u30d7\u30e2\u30c7\u30eb\u300cGPT-5.5\u300d\u306e\u4e8b\u524d\u5b66\u7fd2\u304c3\/24\u306b\u5b8c\u4e86\u30022\u5e74\u306e\u7814\u7a76\u958b\u767a\u3092\u7d4c\u3066\u3001GDPVal 83%\u3092\u9054\u6210\u3057\u305fGPT-5.4\u3092\u3055\u3089\u306b\u4e0a\u56de\u308b\u6027\u80fd\u304c\u4e88\u60f3\u3055\u308c\u308b\u3002\u30b5\u30e0\u30fb\u30a2\u30eb\u30c8\u30de\u30f3CEO\u306f\u300c\u30de\u30af\u30ed\u7d4c\u6e08\u7684\u306a\u5f71\u97ff\u3092\u3082\u305f\u3089\u3059\u300d\u3068\u767a\u8a00\u3002ChatGPT\u30fbCodex\u30fbAtlas\u3092\u7d71\u5408\u3059\u308b\u300c\u30b9\u30fc\u30d1\u30fc\u30a2\u30d7\u30ea\u300d\u306e\u57fa\u76e4\u30e2\u30c7\u30eb\u3068\u3057\u3066\u4f4d\u7f6e\u3065\u3051\u3002<\/p>\n

\n\u5f71\u97ff\u5ea6 \u2605\u2605\u2605\u2605\u2605<\/span><\/p>\n<\/div>\n<\/div>\n
\n
\n2026\/4\/2<\/span>
\nGoogle<\/span>\n<\/div>\n

Google Gemma 4\u2014\u2014Apache 2.0\u306e\u30d5\u30ed\u30f3\u30c6\u30a3\u30a2\u7d1a\u30aa\u30fc\u30d7\u30f3\u30e2\u30c7\u30eb<\/p>\n

Google DeepMind\u304cGemini 3\u4e16\u4ee3\u306e\u6280\u8853\u3092\u57fa\u76e4\u3068\u3057\u305f\u30aa\u30fc\u30d7\u30f3\u30e2\u30c7\u30eb\u3092\u516c\u958b\u30024\u30d0\u30ea\u30a2\u30f3\u30c8\uff08\u6700\u592731B\u30d1\u30e9\u30e1\u30fc\u30bf\uff09\u3067\u3001\u63a8\u8ad6\u5f37\u5316\u30fbAI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u5bfe\u5fdc\u30fb\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30eb\u5165\u529b\u3092\u30b5\u30dd\u30fc\u30c8\u3002Apache 2.0\u30e9\u30a4\u30bb\u30f3\u30b9\u3067\u5546\u7528\u5229\u7528\u53ef\u80fd\u3002\u30c0\u30a6\u30f3\u30ed\u30fc\u30c94\u5104\u56de\u3092\u7a81\u7834\u3057\u3001Arena 3\u4f4d\u306b\u30e9\u30f3\u30af\u30a4\u30f3\u3002<\/p>\n

\n\u5f71\u97ff\u5ea6 \u2605\u2605\u2605\u2605\u2606<\/span>
\n\u2192 \u8a73\u7d30\u8a18\u4e8b\u3092\u8aad\u3080<\/a>\n<\/div>\n<\/div>\n
\n
\n2026\/4\u6708\u7b2c1\u9031<\/span>
\nZhipu AI<\/span>\n<\/div>\n

GLM-5.1\u304cGPT-5.4\u3092\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3067\u4e0a\u56de\u308b\u2014\u2014MIT\u30e9\u30a4\u30bb\u30f3\u30b9<\/p>\n

\u4e2d\u56fd\u306eZhipu AI\u304c\u516c\u958b\u3057\u305fGLM-5.1\u304cSWE-Bench Pro\u3067\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u9996\u4f4d\u3092\u7372\u5f97\u3057\u3001GPT-5.4\u3092\u4e0a\u56de\u3063\u305f\u3002MIT\u30e9\u30a4\u30bb\u30f3\u30b9\u3067\u5b8c\u5168\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u3002Claude Opus 4.6\u306e\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u6027\u80fd\u306e94.6%\u306b\u5230\u9054\u3002\u300c\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306f6\u30f6\u6708\u9045\u308c\u300d\u3068\u3044\u3046\u5f93\u6765\u306e\u8a8d\u8b58\u3092\u8986\u3059\u8c61\u5fb4\u7684\u306a\u51fa\u6765\u4e8b\u3002<\/p>\n

\n\u5f71\u97ff\u5ea6 \u2605\u2605\u2605\u2605\u2606<\/span><\/p>\n<\/div>\n<\/div>\n
\n
\n2026\/4\u6708\u4e0a\u65ec<\/span>
\nOpenAI \/ Anthropic \/ Google<\/span>\n<\/div>\n

OpenAI\u30fbAnthropic\u30fbGoogle\u2014\u20143\u793e\u304c\u624b\u3092\u7d44\u307f\u300c\u4e0d\u6b63\u84b8\u7559\u300d\u306b\u5bfe\u6297<\/p>\n

\u30e9\u30a4\u30d0\u30eb\u540c\u58eb\u306e3\u793e\u304cFrontier Model Forum\u3092\u901a\u3058\u3066\u3001\u7c73\u56fd\u88fd\u30d5\u30ed\u30f3\u30c6\u30a3\u30a2\u30e2\u30c7\u30eb\u306e\u4e0d\u6b63\u30b3\u30d4\u30fc\uff08adversarial distillation\uff09\u306b\u5bfe\u6297\u3059\u308b\u60c5\u5831\u5171\u6709\u3092\u958b\u59cb\u3002Anthropic\u3060\u3051\u3067\u4e2d\u56fd\u4f01\u696d3\u793e\u304b\u3089\u7d042,400\u4e07\u4ef6\u306e\u4e0d\u6b63\u30a2\u30af\u30bb\u30b9\u8a66\u884c\uff08\u7d0424,000\u4ef6\u306e\u507d\u30a2\u30ab\u30a6\u30f3\u30c8\uff09\u3092\u8a18\u9332\u3002AI\u77e5\u8ca1\u4fdd\u8b77\u304c\u696d\u754c\u5171\u901a\u8ab2\u984c\u3068\u3057\u3066\u6d6e\u4e0a\u3002<\/p>\n

\n\u5f71\u97ff\u5ea6 \u2605\u2605\u2605\u2605\u2606<\/span><\/p>\n<\/div>\n<\/div>\n
\n
\n2026\/4\u6708<\/span>
\nOpenAI<\/span>\n<\/div>\n

OpenAI\u5e74\u9593\u53ce\u76ca$250\u5104\u7a81\u7834\u2014\u2014IPO\u6e96\u5099\u3092\u672c\u683c\u5316<\/p>\n

OpenAI\u306e\u5e74\u63db\u7b97\u53ce\u76ca\u304c250\u5104\u30c9\u30eb\uff08\u7d043.7\u5146\u5186\uff09\u3092\u7a81\u7834\u3002IPO\u306b\u5411\u3051\u305f\u521d\u671f\u7684\u306a\u53d6\u308a\u7d44\u307f\u3092\u958b\u59cb\u3068\u5831\u9053\u3002\u4e00\u65b9\u3001Anthropic\u3082\u5e74\u63db\u7b97190\u5104\u30c9\u30eb\u898f\u6a21\u306b\u5230\u9054\u3002AI\u4f01\u696d\u306e\u53ce\u76ca\u5316\u304c\u6025\u901f\u306b\u9032\u884c\u3002ChatGPT Plus\u306e\u6708\u984d$20\u304c\u4e3b\u8981\u53ce\u76ca\u6e90\u3060\u304c\u3001API\u53ce\u76ca\u3068\u30a8\u30f3\u30bf\u30fc\u30d7\u30e9\u30a4\u30ba\u5951\u7d04\u304c\u6025\u6210\u9577\u4e2d\u3002<\/p>\n

\n\u5f71\u97ff\u5ea6 \u2605\u2605\u2605\u2606\u2606<\/span><\/p>\n<\/div>\n<\/div>\n
\n
\n2026\/4\u6708<\/span>
\n\u56fd\u7acb\u60c5\u5831\u5b66\u7814\u7a76\u6240<\/span>\n<\/div>\n

LLM-jp-4\u2014\u2014\u65e5\u672c\u521d\u306e\u30d5\u30eb\u30b9\u30af\u30e9\u30c3\u30c1\u56fd\u7523LLM\u304c\u516c\u958b<\/p>\n

\u56fd\u7acb\u60c5\u5831\u5b66\u7814\u7a76\u6240\uff08NII\uff09\u304c8B\u304a\u3088\u307332B\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u56fd\u7523LLM\u300cLLM-jp-4\u300d\u3092\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u3067\u516c\u958b\u3002\u65e5\u672c\u8a9e\u51e6\u7406\u306b\u7279\u5316\u3057\u305f\u30d5\u30eb\u30b9\u30af\u30e9\u30c3\u30c1\u5b66\u7fd2\u3067\u3001\u6d77\u5916\u30e2\u30c7\u30eb\u306e\u65e5\u672c\u8a9e\u30d5\u30a1\u30a4\u30f3\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u3067\u306f\u306a\u304f\u72ec\u81ea\u8a2d\u8a08\u3002\u65e5\u672c\u8a9e\u306e\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u7cbe\u5ea6\u306e\u5411\u4e0a\u3068\u3001\u56fd\u5185\u30c7\u30fc\u30bf\u306e\u5b89\u5168\u306a\u51e6\u7406\u3092\u76ee\u6307\u3059\u3002<\/p>\n

\n\u5f71\u97ff\u5ea6 \u2605\u2605\u2605\u2606\u2606<\/span><\/p>\n<\/div>\n<\/div>\n
\n
\n2026\/4\u6708<\/span>
\n\u696d\u754c\u5168\u4f53<\/span>\n<\/div>\n

\u300c\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306f6\u30f6\u6708\u9045\u308c\u300d\u306e\u6642\u4ee3\u304c\u7d42\u308f\u3063\u305f\u2014\u2014\u69cb\u9020\u5909\u5316\u306e\u610f\u5473<\/p>\n

GLM-5.1\u304cGPT-5.4\u3092\u4e0a\u56de\u308a\u3001Gemma 4\u304cApache 2.0\u3067\u30d5\u30ed\u30f3\u30c6\u30a3\u30a2\u7d1a\u306e\u6027\u80fd\u3092\u63d0\u4f9b\u3002DeepSeek V4\u306fGPT-5.4\u306e1\/50\u306e\u30b3\u30b9\u30c8\u306790%\u306e\u54c1\u8cea\u3092\u5b9f\u73fe\u3002Artificial Analysis Intelligence Index\u306e\u5929\u4e95\uff0857.18\uff09\u306f3\u30f6\u6708\u9593\u66f4\u65b0\u3055\u308c\u3066\u304a\u3089\u305a\u3001\u30d5\u30ed\u30f3\u30c6\u30a3\u30a2\u306f\u300c\u9ad8\u539f\u72b6\u614b\u300d\u306b\u3002\u30e2\u30c7\u30eb\u306e\u6027\u80fd\u5dee\u306f1\u6841%\u306e\u5dee\u306b\u7e2e\u5c0f\u3057\u3001\u5dee\u5225\u5316\u306f\u30e2\u30c7\u30eb\u305d\u306e\u3082\u306e\u304b\u3089\u30a8\u30b3\u30b7\u30b9\u30c6\u30e0\u30fb\u30c4\u30fc\u30ea\u30f3\u30b0\u30fb\u30c7\u30fc\u30bf\u306b\u79fb\u884c\u3002<\/p>\n

\n\u5f71\u97ff\u5ea6 \u2605\u2605\u2605\u2605\u2605<\/span><\/p>\n<\/div>\n<\/div>\n

4\u6708\u306eAI\u30e2\u30c7\u30eb\u52e2\u529b\u56f3<\/h2>\n
\n\n\n\n\n\n\n\n\n
\u30e2\u30c7\u30eb<\/th>\n\u4f01\u696d<\/th>\nIntelligence Index<\/th>\nSWE-bench<\/th>\nAPI\u5165\u529b\u4fa1\u683c<\/th>\n\u516c\u958b\u72b6\u6cc1<\/th>\n<\/tr>\n
Claude Mythos<\/td>\nAnthropic<\/td>\n\u2014\uff08\u975e\u516c\u958b\uff09<\/td>\n93.9%<\/td>\n$25\/1M<\/td>\n50\u793e\u9650\u5b9a<\/td>\n<\/tr>\n
Gemini 3.1 Ultra<\/td>\nGoogle<\/td>\n57<\/td>\n\u2014<\/td>\n\u2014<\/td>\n\u4e00\u822c\u516c\u958b<\/td>\n<\/tr>\n
GPT-5.4 Pro<\/td>\nOpenAI<\/td>\n57<\/td>\n57.7%<\/td>\n$30\/1M<\/td>\n\u4e00\u822c\u516c\u958b<\/td>\n<\/tr>\n
Claude Opus 4.6<\/td>\nAnthropic<\/td>\n55<\/td>\n80.8%<\/td>\n$15\/1M<\/td>\n\u4e00\u822c\u516c\u958b<\/td>\n<\/tr>\n
GLM-5.1\uff08OSS\uff09<\/td>\nZhipu AI<\/td>\n\u2014<\/td>\n\u2014<\/td>\n\u7121\u6599\uff08MIT\uff09<\/td>\n\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9<\/td>\n<\/tr>\n
Llama 4 Maverick\uff08OSS\uff09<\/td>\nMeta<\/td>\n52<\/td>\n\u2014<\/td>\n\u7121\u6599\uff08Apache 2.0\uff09<\/td>\n\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9<\/td>\n<\/tr>\n<\/table>\n<\/div>\n

\u4e2d\u5c0f\u4f01\u696d\u7d4c\u55b6\u8005\u3078\u306e\u793a\u5506\u2014\u2014\u300cAI\u7af6\u4e89\u300d\u3092\u81ea\u793e\u306b\u3069\u3046\u6d3b\u304b\u3059\u304b<\/h2>\n

\u300c\u30e2\u30c7\u30eb\u306e\u6027\u80fd\u6bd4\u8f03\u306f\u6280\u8853\u8005\u306e\u8a71\u3067\u3042\u3063\u3066\u3001\u3046\u3061\u306e\u4f1a\u793e\u306b\u306f\u95a2\u4fc2\u306a\u3044\u300d\u3068\u601d\u3046\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002\u3057\u304b\u30572026\u5e744\u6708\u306eAI\u52d5\u5411\u306b\u306f\u3001\u4e2d\u5c0f\u4f01\u696d\u7d4c\u55b6\u306b\u3082\u76f4\u7d50\u3059\u308b3\u3064\u306e\u91cd\u8981\u306a\u5909\u5316\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n

\n
\n

1. AI\u306e\u5229\u7528\u30b3\u30b9\u30c8\u304c\u6025\u843d\u4e2d<\/p>\n

DeepSeek V4\u306fGPT-5.4\u306e1\/50\u306e\u30b3\u30b9\u30c8\u3002Gemini 3.1 Flash-Lite\u306f$0.25\/1M\u30c8\u30fc\u30af\u30f3\u3002\u4e2d\u5c0f\u4f01\u696d\u3067\u3082\u6708\u6570\u5343\u5186\u304b\u3089AI\u6d3b\u7528\u304c\u53ef\u80fd\u306a\u6642\u4ee3\u3002AI\u6d3b\u7528\u4e8b\u4f8b<\/a>\u3092\u53c2\u8003\u306b\u3001\u81ea\u793e\u306e\u696d\u52d9\u306b\u53d6\u308a\u5165\u308c\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<\/div>\n

\n

2. AI\u691c\u7d22\u5bfe\u5fdc\u304c\u7af6\u4e89\u512a\u4f4d\u306b\u306a\u308b<\/p>\n

AI\u30e2\u30c7\u30eb\u306e\u9032\u5316\u306f\u691c\u7d22\u4f53\u9a13\u3082\u5909\u3048\u3066\u3044\u307e\u3059\u3002AI\u691c\u7d22\u306b\u8868\u793a\u3055\u308c\u306a\u3044\u4f01\u696d<\/a>\u306f\u898b\u8fbc\u307f\u5ba2\u3092\u53d6\u308a\u3053\u307c\u3057\u307e\u3059\u3002GEO\u5bfe\u7b56<\/a>\u3067AI\u691c\u7d22\u306b\u3082\u81ea\u793e\u3092\u8868\u793a\u3055\u305b\u307e\u3057\u3087\u3046\u3002<\/p>\n<\/div>\n

\n

3. AI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u304c\u696d\u52d9\u3092\u5909\u3048\u308b<\/p>\n

2026\u5e74\u672b\u306b\u306f\u4f01\u696d\u30a2\u30d7\u30ea\u306e40%\u306bAI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u304c\u7d44\u307f\u8fbc\u307e\u308c\u308b\u3068\u4e88\u6e2c\u3002AI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306e\u5c0e\u5165\u52d5\u5411<\/a>\u3068\u30c1\u30e3\u30c3\u30c8\u30dc\u30c3\u30c8\u9023\u643a<\/a>\u3092\u691c\u8a0e\u3059\u308b\u6642\u671f\u3067\u3059\u3002<\/p>\n<\/div>\n<\/div>\n

\n

\u2501\u2501 \u95a2\u9023\u8cc7\u6599(\u7121\u6599) \u2501\u2501<\/p>\n

Claude\u306e\u5b9f\u52d9\u6d3b\u7528\u306b\u3054\u8208\u5473\u304c\u3042\u308b\u65b9\u5411\u3051\u306b\u3001\u4ec1\u983c\u3067\u306f\u4ee5\u4e0b\u306e\u7121\u6599\u8cc7\u6599\u3092\u516c\u958b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n

\n\u30fbClaude\u6d3b\u7528\u30d7\u30ed\u30f3\u30d7\u30c8\u96c650\u9078<\/a>(\u696d\u52d9\u5225)
\n\u30fbClaude Code\u5c0e\u5165\u4e8b\u4f8b\u96c6<\/a>(5\u4e8b\u4f8b\u30fb13\u30da\u30fc\u30b8)\n<\/p>\n<\/div>\n

\u5f53\u793e\u306e\u95a2\u9023\u8a18\u4e8b<\/h2>\n

\u5404\u30cb\u30e5\u30fc\u30b9\u306e\u8a73\u7d30\u8a18\u4e8b\u306f\u3053\u3061\u3089\uff1a<\/p>\n

\u2192 Claude Mythos Preview\u5b8c\u5168\u30d9\u30f3\u30c1\u30de\u30fc\u30af<\/a><\/p>\n

\u2192 Claude Mythos System Card 244\u30da\u30fc\u30b8\u5b8c\u5168\u5206\u6790<\/a><\/p>\n

\u2192 Gemini 3.1 Pro\u5b8c\u5168\u89e3\u8aac<\/a><\/p>\n

\u2192 GPT-5.4 Computer Use\u6a5f\u80fd\u306e\u5168\u5bb9<\/a><\/p>\n

\u2192 Google Gemma 4\u6b63\u5f0f\u30ea\u30ea\u30fc\u30b9<\/a><\/p>\n

\u2192 Claude Opus 4.7\u3068AI\u30c7\u30b6\u30a4\u30f3\u30c4\u30fc\u30eb\uff5cFigma\u682a\u4e0b\u843d\u306e\u885d\u6483<\/a><\/p>\n

\u2192 Claude 4.6\u306e\u65b0\u6a5f\u80fd<\/a><\/p>\n

\u2192 Claude Code Routines\u3068\u306f\uff1fAI\u81ea\u52d5\u5316\u306e\u65b0\u6a5f\u80fd<\/a><\/p>\n

\u2192 MCP\u304c9700\u4e07\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3092\u9054\u6210\u3057\u305f\u7406\u7531<\/a><\/p>\n

\u2192 AI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c82026\u5e74\u306e\u5c0e\u5165\u7387<\/a><\/p>\n

\u2192 \u30d5\u30a3\u30b8\u30ab\u30ebAI\u5143\u5e74<\/a><\/p>\n

\n
\n

\u7121\u6599PDF\u8cc7\u6599<\/p>\n

Claude\u6d3b\u7528
\u30d7\u30ed\u30f3\u30d7\u30c8\u96c650\u9078<\/p>\n

\u30e1\u30fc\u30eb\u8fd4\u4fe13\u5206\u3001\u8b70\u4e8b\u93325\u5206\u3001\u7af6\u5408\u8abf\u67fb20\u5206\u3002\u30b3\u30d4\u30da\u3067\u5373\u4f7f\u3048\u308b50\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u3002<\/p>\n

\u7121\u6599\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9 \u2192<\/a><\/p>\n<\/div>\n<\/div>\n

\n

\u2501\u2501 \u672c\u8a18\u4e8b\u306b\u3064\u3044\u3066 \u2501\u2501<\/p>\n

\u672c\u8a18\u4e8b\u306f\u3001\u682a\u5f0f\u4f1a\u793e\u4ec1\u983c\u304c\u904b\u55b6\u3059\u308b\u30e1\u30c7\u30a3\u30a2\u3067\u3059\u3002\u4ec1\u983c\u306fGEO\u5bfe\u7b56\u30fbSEO\u30fbAI\u5c0e\u5165\u652f\u63f4\u3092\u4e2d\u5fc3\u3068\u3057\u305f\u30c7\u30b8\u30bf\u30eb\u30de\u30fc\u30b1\u30c6\u30a3\u30f3\u30b0\u4f1a\u793e\u3067\u3059\u3002<\/p>\n

\u500b\u5225\u306e\u3054\u76f8\u8ac7\u306f\u304a\u554f\u3044\u5408\u308f\u305b\u30d5\u30a9\u30fc\u30e0<\/a>\u304b\u3089\u627f\u308a\u307e\u3059\u3002<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

2026\u5e744\u6708\u306f\u300cAI\u53f2\u4e0a\u6700\u3082\u7af6\u4e89\u304c\u6fc0\u3057\u3044\u6708\u300d\u306b\u306a\u308a\u307e\u3057\u305f\u3002Anthropic\u30fbOpenAI\u30fbGoogle\u30fbMeta\u306e4\u793e\u304c\u540c\u6642\u306b\u30d5\u30ed\u30f3\u30c6\u30a3\u30a2\u30e2\u30c7\u30eb\u3092\u6295\u5165\u3057\u3001\u30aa […]<\/p>\n","protected":false},"author":2,"featured_media":1406,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"om_disable_all_campaigns":false,"footnotes":""},"categories":[23],"tags":[32,29],"class_list":["post-2618","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai_introduction_support","tag-ai","tag-claude"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/jinrai.co.jp\/en\/wp-json\/wp\/v2\/posts\/2618","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jinrai.co.jp\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jinrai.co.jp\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jinrai.co.jp\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/jinrai.co.jp\/en\/wp-json\/wp\/v2\/comments?post=2618"}],"version-history":[{"count":14,"href":"https:\/\/jinrai.co.jp\/en\/wp-json\/wp\/v2\/posts\/2618\/revisions"}],"predecessor-version":[{"id":4577,"href":"https:\/\/jinrai.co.jp\/en\/wp-json\/wp\/v2\/posts\/2618\/revisions\/4577"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/jinrai.co.jp\/en\/wp-json\/wp\/v2\/media\/1406"}],"wp:attachment":[{"href":"https:\/\/jinrai.co.jp\/en\/wp-json\/wp\/v2\/media?parent=2618"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jinrai.co.jp\/en\/wp-json\/wp\/v2\/categories?post=2618"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jinrai.co.jp\/en\/wp-json\/wp\/v2\/tags?post=2618"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}