{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-07-23T06:40:50.084Z","headline":"腾讯混元推出Hyra-1.0递归自我改进研究智能体","description":"腾讯混元推出Hyra-1.0，一个能递归自我改进的研究智能体，在NanoChat等三项任务上均超越Recursive公开结果。Hyra在55个数学开放问题中刷新29个历史最好结果，并设计出仅含15个可训练参数即可完成10位数加法的Transformer。所有产物已在GitHub开源。","url":"https://www.aioga.com/news/cmru3vmv252v2bihzm2btrcpy/","mainEntityOfPage":"https://www.aioga.com/news/cmru3vmv252v2bihzm2btrcpy/","datePublished":"2026-07-21T03:33:08.000Z","dateModified":"2026-07-21T03:33:08.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://mp.weixin.qq.com/s/upwDQ_6ZfmszBUcRQjR_Dg","https://aihot.virxact.com/items/cmru3vmv252v2bihzm2btrcpy"],"canonicalUrl":"https://www.aioga.com/news/cmru3vmv252v2bihzm2btrcpy/","directAnswer":{"@type":"Answer","text":"腾讯混元发布研究智能体Hyra-1.0。公开材料称，其在NanoChat等三项任务上超过Recursive公开结果，并在55个数学开放问题中刷新29项历史最好结果，相关产物已在GitHub开源。","url":"https://www.aioga.com/news/cmru3vmv252v2bihzm2btrcpy/","dateCreated":"2026-07-21T03:33:08.000Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"公众号：腾讯混元 source article","url":"https://mp.weixin.qq.com/s/upwDQ_6ZfmszBUcRQjR_Dg","datePublished":"2026-07-21T03:33:08.000Z","provider":{"@type":"Organization","name":"公众号：腾讯混元","url":"https://mp.weixin.qq.com/s/upwDQ_6ZfmszBUcRQjR_Dg"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.virxact.com/items/cmru3vmv252v2bihzm2btrcpy","datePublished":"2026-07-21T03:33:08.000Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.virxact.com/items/cmru3vmv252v2bihzm2btrcpy"}}],"aggregationSource":"公众号：腾讯混元","originalPublisher":{"name":"公众号：腾讯混元","url":"https://mp.weixin.qq.com/s/upwDQ_6ZfmszBUcRQjR_Dg"},"article":{"id":"cmru3vmv252v2bihzm2btrcpy","slug":"cmru3vmv252v2bihzm2btrcpy","url":"https://www.aioga.com/news/cmru3vmv252v2bihzm2btrcpy/","title":"腾讯混元推出Hyra-1.0递归自我改进研究智能体","title_en":"Hyra发布：一个简单有效的科学发现智能体","summary":"腾讯混元推出Hyra-1.0，一个能递归自我改进的研究智能体，在NanoChat等三项任务上均超越Recursive公开结果。Hyra在55个数学开放问题中刷新29个历史最好结果，并设计出仅含15个可训练参数即可完成10位数加法的Transformer。所有产物已在GitHub开源。","source":"公众号：腾讯混元","sourceUrl":"https://mp.weixin.qq.com/s/upwDQ_6ZfmszBUcRQjR_Dg","aiHotUrl":"https://aihot.virxact.com/items/cmru3vmv252v2bihzm2btrcpy","publishedAt":"2026-07-21T03:33:08.000Z","category":"产品更新","score":64,"selected":true,"articleBody":["腾讯混元推出Hyra-1.0，一个能递归自我改进的研究智能体，在NanoChat等三项任务上均超越Recursive公开结果。","Hyra在55个数学开放问题中刷新29个历史最好结果，并设计出仅含15个可训练参数即可完成10位数加法的Transformer。","所有产物已在GitHub开源。"],"articleImages":[],"mediaStatus":"none","articleBodyZh":[],"translationStatus":"","bodyOrigin":"summary-fallback","editorial":{"summary":"腾讯混元发布研究智能体Hyra-1.0。公开材料称，其在NanoChat等三项任务上超过Recursive公开结果，并在55个数学开放问题中刷新29项历史最好结果，相关产物已在GitHub开源。","background":"本次信息来自腾讯混元公众号，材料将Hyra-1.0描述为可递归自我改进的研究智能体，并以任务结果、数学开放问题表现及特定Transformer设计作为主要成果依据。","viewpoint":"Aioga判断，Hyra-1.0的关注点在于将递归自我改进与可核验的研究产物结合。不过，现有材料未披露具体评测流程、比较条件及复现结果，暂不宜据此推导更广泛能力。","implications":"Aioga判断，开源产物可能为外部复核三项任务表现、29项历史最好结果及15参数Transformer提供条件。其实际研究价值仍取决于代码、数据、评测设置能否被独立复现。","nextStep":"值得关注GitHub开源产物中的实验配置、基线定义、结果记录与复现说明，并核对“超过Recursive公开结果”及数学问题成绩的评测口径；在独立验证前，应将相关结论限定于公开材料所述范围。","evidenceRefs":["title","summary","articleBody","source"],"status":"published","aiGenerated":true,"autoApproved":true,"generatedBy":"aioga-editorial:gpt-5.6-sol","reviewedBy":"aioga-editorial-review:gpt-5.6-sol","generatedAt":"2026-07-23T02:49:20.320Z","sourceHash":"ef493207537493fc","review":{"approved":true,"groundedness":96,"clarity":93,"duplicationRisk":28,"blockingIssues":[],"notes":["候选内容对任务成绩、数学开放问题结果和GitHub开源情况均采用了“公开材料称”等归因表述，避免将来源方主张直接写成已独立验证的事实。","对评测流程、比较条件和复现情况尚不明确的提醒属于合理限定，与来源材料不存在冲突。","“开源产物可能为外部复核提供条件”明确使用了可能性表述，未将可复现性写成既成事实。"]},"validation":{"passed":true,"mode":"ai-auto","revisions":0,"checks":["schema","length","source-attribution","low-source-overlap","no-html","independent-ai-review"]}},"tags":["产品更新","公众号：腾讯混元"],"translations":{"zh-CN":{"title":"腾讯混元推出Hyra-1.0递归自我改进研究智能体","summary":"腾讯混元推出Hyra-1.0，一个能递归自我改进的研究智能体，在NanoChat等三项任务上均超越Recursive公开结果。Hyra在55个数学开放问题中刷新29个历史最好结果，并设计出仅含15个可训练参数即可完成10位数加法的Transformer。所有产物已在GitHub开源。","category":"产品更新","source":"公众号：腾讯混元","aggregationSource":"公众号：腾讯混元","pageTitle":"腾讯混元推出Hyra-1.0递归自我改进研究智能体 - Aioga AI资讯","description":"腾讯混元推出Hyra-1.0，一个能递归自我改进的研究智能体，在NanoChat等三项任务上均超越Recursive公开结果。Hyra在55个数学开放问题中刷新29个历史最好结果，并设计出仅含15个可训练参数即可完成10位数加法的Transformer。所有产物已在GitHub开源。","url":"https://www.aioga.com/news/cmru3vmv252v2bihzm2btrcpy/"},"en":{"title":"Tencent Hunyuan launches Hyra-1.0 recursive self-improving research agent","summary":"Tencent Hunyuan has launched Hyra-1.0, a research agent capable of recursively self-improving, surpassing the publicly released Recursive results in three tasks including NanoChat. Hyra has set 29 new historical best results among 55 open mathematical problems and has designed a Transformer that can perform 10-digit addition with only 15 trainable parameters. All products have been open-sourced on GitHub.","category":"Products","source":"公众号：腾讯混元","aggregationSource":"公众号：腾讯混元","pageTitle":"Tencent Hunyuan launches Hyra-1.0 recursive self-improving research agent - Aioga AI News","description":"Tencent Hunyuan has launched Hyra-1.0, a research agent capable of recursively self-improving, surpassing the publicly released Recursive results in three tasks including NanoChat....","url":"https://www.aioga.com/en/news/cmru3vmv252v2bihzm2btrcpy/","contentTranslated":true,"sourceHash":"f1af712b6dea6a0f","translatedAt":"2026-07-22T17:25:14.142Z"},"ja":{"title":"テンセント混元、Hyra-1.0再帰的自己改善研究エージェントを発表","summary":"テンセント混元はHyra-1.0を発表しました。これは自己改良を再帰的に行える研究用知能体で、NanoChatなどの三つのタスクでいずれもRecursiveの公開結果を上回りました。Hyraは55の数学の未解決問題のうち29件で歴代最高記録を更新し、わずか15個の訓練可能なパラメータで10桁の加算を行えるTransformerを設計しました。すべての成果物はすでにGitHubでオープンソース化されています。","category":"製品更新","source":"公众号：腾讯混元","aggregationSource":"公众号：腾讯混元","pageTitle":"テンセント混元、Hyra-1.0再帰的自己改善研究エージェントを発表 - Aioga AIニュース","description":"テンセント混元はHyra-1.0を発表しました。これは自己改良を再帰的に行える研究用知能体で、NanoChatなどの三つのタスクでいずれもRecursiveの公開結果を上回りました。Hyraは55の数学の未解決問題のうち29件で歴代最高記録を更新し、わずか15個の訓練可能なパラメータで10桁の加算を行えるTransformerを設計しました。すべての成果物は...","url":"https://www.aioga.com/ja/news/cmru3vmv252v2bihzm2btrcpy/","contentTranslated":true,"sourceHash":"f1af712b6dea6a0f","translatedAt":"2026-07-22T17:25:34.175Z"},"ko":{"title":"텐센트 혼원, Hyra-1.0 재귀적 자기 개선 연구 에이전트 출시","summary":"텐센트 혼원은 Hyra-1.0을 출시했으며, 이는 자기 개선을 재귀적으로 수행할 수 있는 연구용 인공지능으로, NanoChat 등 세 가지 과제에서 모두 Recursive 공개 결과를 능가했습니다. Hyra는 55개의 수학 공개 문제에서 29개의 역사적 최적 결과를 갱신했으며, 단 15개의 학습 가능한 매개변수만으로 10자리 덧셈을 수행할 수 있는 트랜스포머를 설계했습니다. 모든 제품은 이미 GitHub에 오픈 소스로 공개되었습니다.","category":"제품 업데이트","source":"公众号：腾讯混元","aggregationSource":"公众号：腾讯混元","pageTitle":"텐센트 혼원, Hyra-1.0 재귀적 자기 개선 연구 에이전트 출시 - Aioga AI 뉴스","description":"텐센트 혼원은 Hyra-1.0을 출시했으며, 이는 자기 개선을 재귀적으로 수행할 수 있는 연구용 인공지능으로, NanoChat 등 세 가지 과제에서 모두 Recursive 공개 결과를 능가했습니다. Hyra는 55개의 수학 공개 문제에서 29개의 역사적 최적 결과를 갱신했으며, 단 15개의 학습 가능한 매개변수만으로 10...","url":"https://www.aioga.com/ko/news/cmru3vmv252v2bihzm2btrcpy/","contentTranslated":true,"sourceHash":"f1af712b6dea6a0f","translatedAt":"2026-07-22T17:26:18.916Z"},"es":{"title":"Tencent Hunyuan lanza el agente de investigación inteligente Hyra-1.0 con auto-mejora recursiva","summary":"Tencent Hunyuan lanzó Hyra-1.0, un agente de investigación inteligente capaz de mejorar recursivamente por sí mismo, que supera los resultados públicos de Recursive en tres tareas, incluyendo NanoChat. Hyra ha mejorado 29 de los mejores resultados históricos en 55 problemas matemáticos abiertos y ha diseñado un Transformer que puede realizar sumas de 10 dígitos con solo 15 parámetros entrenables. Todos los productos ya están disponibles en GitHub de código abierto.","category":"Productos","source":"公众号：腾讯混元","aggregationSource":"公众号：腾讯混元","pageTitle":"Tencent Hunyuan lanza el agente de investigación inteligente Hyra-1.0 con auto-mejora recursiva - Aioga Noticias de IA","description":"Tencent Hunyuan lanzó Hyra-1.0, un agente de investigación inteligente capaz de mejorar recursivamente por sí mismo, que supera los resultados públicos de Recursive en tres tareas,...","url":"https://www.aioga.com/es/news/cmru3vmv252v2bihzm2btrcpy/","contentTranslated":true,"sourceHash":"f1af712b6dea6a0f","translatedAt":"2026-07-22T17:26:15.637Z"},"fr":{"title":"Tencent Hunyuan lance Hyra-1.0, un agent de recherche à amélioration autonome récursive","summary":"Tencent Hunyuan a lancé Hyra-1.0, un agent de recherche intelligent capable de s'améliorer récursivement, surpassant les résultats publics de Recursive dans trois tâches, dont NanoChat. Hyra a établi de nouveaux records historiques sur 29 des 55 problèmes mathématiques ouverts et a conçu un Transformer capable de réaliser des additions de 10 chiffres avec seulement 15 paramètres entraînables. Tous les produits ont été publiés en open source sur GitHub.","category":"Produits","source":"公众号：腾讯混元","aggregationSource":"公众号：腾讯混元","pageTitle":"Tencent Hunyuan lance Hyra-1.0, un agent de recherche à amélioration autonome récursive - Aioga Actualités IA","description":"Tencent Hunyuan a lancé Hyra-1.0, un agent de recherche intelligent capable de s'améliorer récursivement, surpassant les résultats publics de Recursive dans trois tâches, dont Nano...","url":"https://www.aioga.com/fr/news/cmru3vmv252v2bihzm2btrcpy/","contentTranslated":true,"sourceHash":"f1af712b6dea6a0f","translatedAt":"2026-07-22T17:27:08.477Z"},"de":{"title":"Tencent Hunyuan stellt den Hyra-1.0 rekursiven selbstverbessernden Forschungsagenten vor","summary":"Tencent HunYuan hat Hyra-1.0 vorgestellt, eine Forschungsintelligenz, die sich selbst rekursiv verbessern kann und in drei Aufgaben, darunter NanoChat, die öffentlich zugänglichen Ergebnisse von Recursive übertrifft. Hyra hat in 55 offenen mathematischen Problemen 29 historische Bestleistungen übertroffen und einen Transformer entworfen, der mit nur 15 trainierbaren Parametern zehnstellige Additionen durchführen kann. Alle Produkte sind bereits auf GitHub Open Source verfügbar.","category":"产品更新","source":"公众号：腾讯混元","aggregationSource":"公众号：腾讯混元","pageTitle":"Tencent Hunyuan stellt den Hyra-1.0 rekursiven selbstverbessernden Forschungsagenten vor - Aioga KI-News","description":"Tencent HunYuan hat Hyra-1.0 vorgestellt, eine Forschungsintelligenz, die sich selbst rekursiv verbessern kann und in drei Aufgaben, darunter NanoChat, die öffentlich zugänglichen...","url":"https://www.aioga.com/de/news/cmru3vmv252v2bihzm2btrcpy/","contentTranslated":true,"sourceHash":"f1af712b6dea6a0f","translatedAt":"2026-07-22T17:27:00.487Z"},"pt-BR":{"title":"Tencent Hunyuan lança agente de pesquisa de autoaperfeiçoamento recursivo Hyra-1.0","summary":"A Tencent Hunyuan lançou o Hyra-1.0, um agente de pesquisa inteligente capaz de se aprimorar recursivamente, superando os resultados públicos do Recursive em três tarefas, incluindo NanoChat. Hyra estabeleceu 29 novos melhores resultados históricos em 55 problemas matemáticos abertos e projetou um Transformer que realiza adição de 10 dígitos com apenas 15 parâmetros treináveis. Todos os produtos já estão de código aberto no GitHub.","category":"产品更新","source":"公众号：腾讯混元","aggregationSource":"公众号：腾讯混元","pageTitle":"Tencent Hunyuan lança agente de pesquisa de autoaperfeiçoamento recursivo Hyra-1.0 - Aioga Notícias de IA","description":"A Tencent Hunyuan lançou o Hyra-1.0, um agente de pesquisa inteligente capaz de se aprimorar recursivamente, superando os resultados públicos do Recursive em três tarefas, incluind...","url":"https://www.aioga.com/pt-BR/news/cmru3vmv252v2bihzm2btrcpy/","contentTranslated":true,"sourceHash":"f1af712b6dea6a0f","translatedAt":"2026-07-22T17:27:50.340Z"},"ru":{"title":"Tencent Hunyuan выпустил Hyra-1.0 рекурсивного самоулучшающегося исследовательского агента","summary":"Tencent Hunyuan представила Hyra-1.0, исследовательский интеллектуальный агент, способный к рекурсивному самоулучшению, который превзошёл публичные результаты Recursive в трёх заданиях, включая NanoChat. Hyra обновила 29 исторически лучших результатов из 55 открытых математических задач и разработала Transformer с всего 15 обучаемыми параметрами, способный выполнять сложение чисел до 10 цифр. Все продукты уже открыто доступны на GitHub.","category":"产品更新","source":"公众号：腾讯混元","aggregationSource":"公众号：腾讯混元","pageTitle":"Tencent Hunyuan выпустил Hyra-1.0 рекурсивного самоулучшающегося исследовательского агента - Aioga Новости ИИ","description":"Tencent Hunyuan представила Hyra-1.0, исследовательский интеллектуальный агент, способный к рекурсивному самоулучшению, который превзошёл публичные результаты Recursive в трёх зада...","url":"https://www.aioga.com/ru/news/cmru3vmv252v2bihzm2btrcpy/","contentTranslated":true,"sourceHash":"f1af712b6dea6a0f","translatedAt":"2026-07-22T17:27:56.105Z"},"ar":{"title":"تينسنت هونغ يوان تطلق Hyra-1.0 وكيل أبحاث التحسين الذاتي التكراري","summary":"أطلقت شركة Tencent Hunyuan نظام Hyra-1.0، وهو وكيل ذكي بحثي قادر على التحسين الذاتي التكراري، متفوقًا على النتائج المنشورة لـ Recursive في ثلاث مهام بما في ذلك NanoChat. قامت Hyra بتحطيم 29 رقمًا قياسيًا تاريخيًا من بين 55 مسألة مفتوحة في الرياضيات، وصممت Transformer يحتوي فقط على 15 معلمة قابلة للتدريب لإنجاز جمع أعداد مكونة من 10 أرقام. جميع المنتجات متاحة كمصدر مفتوح على GitHub.","category":"产品更新","source":"公众号：腾讯混元","aggregationSource":"公众号：腾讯混元","pageTitle":"تينسنت هونغ يوان تطلق Hyra-1.0 وكيل أبحاث التحسين الذاتي التكراري - Aioga أخبار الذكاء الاصطناعي","description":"أطلقت شركة Tencent Hunyuan نظام Hyra-1.0، وهو وكيل ذكي بحثي قادر على التحسين الذاتي التكراري، متفوقًا على النتائج المنشورة لـ Recursive في ثلاث مهام بما في ذلك NanoChat. قامت Hyra...","url":"https://www.aioga.com/ar/news/cmru3vmv252v2bihzm2btrcpy/","contentTranslated":true,"sourceHash":"f1af712b6dea6a0f","translatedAt":"2026-07-22T17:28:43.219Z"},"hi":{"title":"टेनसेंट हुनयुआन ने Hyra-1.0 पुनरावर्ती स्व-सुधार अनुसंधान एजेंट लॉन्च किया","summary":"टेंसेंट हूनयुआन ने Hyra-1.0 लॉन्च किया, एक अनुसंधान एजेंट जो अपने आप को पुनरावर्ती रूप से सुधार सकता है, और NanoChat जैसी तीन परियोजनाओं में Recursive के सार्वजनिक परिणामों से आगे बढ़ गया। Hyra ने 55 गणितीय खुले प्रश्नों में से 29 के लिए सबसे बेहतरीन ऐतिहासिक परिणाम प्रस्तुत किए और केवल 15 प्रशिक्षण योग्य पैरामीटर वाले ट्रांसफॉर्मर को डिज़ाइन किया, जो 10 अंकों के जोड़ को पूरा कर सकता है। सभी उत्पाद GitHub पर ओपन सोर्स कर दिए गए हैं।","category":"产品更新","source":"公众号：腾讯混元","aggregationSource":"公众号：腾讯混元","pageTitle":"टेनसेंट हुनयुआन ने Hyra-1.0 पुनरावर्ती स्व-सुधार अनुसंधान एजेंट लॉन्च किया - Aioga AI समाचार","description":"टेंसेंट हूनयुआन ने Hyra-1.0 लॉन्च किया, एक अनुसंधान एजेंट जो अपने आप को पुनरावर्ती रूप से सुधार सकता है, और NanoChat जैसी तीन परियोजनाओं में Recursive के सार्वजनिक परिणामों से आगे...","url":"https://www.aioga.com/hi/news/cmru3vmv252v2bihzm2btrcpy/","contentTranslated":true,"sourceHash":"f1af712b6dea6a0f","translatedAt":"2026-07-22T17:28:53.531Z"},"it":{"title":"Tencent Hunyuan lancia Hyra-1.0 agente intelligente di ricerca con auto-miglioramento ricorsivo","summary":"Tencent HunYuan ha lanciato Hyra-1.0, un agente di ricerca intelligente in grado di auto-migliorarsi ricorsivamente, che ha superato i risultati pubblici di Recursive in tre compiti, tra cui NanoChat. Hyra ha aggiornato 29 record storici su 55 problemi matematici aperti e ha progettato un Transformer in grado di eseguire addizioni a 10 cifre con soli 15 parametri addestrabili. Tutti i prodotti sono stati resi open source su GitHub.","category":"产品更新","source":"公众号：腾讯混元","aggregationSource":"公众号：腾讯混元","pageTitle":"Tencent Hunyuan lancia Hyra-1.0 agente intelligente di ricerca con auto-miglioramento ricorsivo - Aioga Notizie IA","description":"Tencent HunYuan ha lanciato Hyra-1.0, un agente di ricerca intelligente in grado di auto-migliorarsi ricorsivamente, che ha superato i risultati pubblici di Recursive in tre compit...","url":"https://www.aioga.com/it/news/cmru3vmv252v2bihzm2btrcpy/","contentTranslated":true,"sourceHash":"f1af712b6dea6a0f","translatedAt":"2026-07-22T17:29:48.843Z"},"nl":{"title":"Tencent Hunyuan lanceert Hyra-1.0 recursieve zelfverbeterende onderzoeksagent","summary":"Tencent HunYuan heeft Hyra-1.0 geïntroduceerd, een onderzoeksagent die zichzelf recursief kan verbeteren, en die de openbare resultaten van Recursive heeft overtroffen bij drie taken, waaronder NanoChat. Hyra heeft 29 van de 55 open wiskundige problemen verbeterd tot het beste historische resultaat en heeft een Transformer ontworpen die slechts 15 te trainen parameters nodig heeft om optellingen van 10 cijfers uit te voeren. Alle producten zijn al op GitHub open source beschikbaar.","category":"产品更新","source":"公众号：腾讯混元","aggregationSource":"公众号：腾讯混元","pageTitle":"Tencent Hunyuan lanceert Hyra-1.0 recursieve zelfverbeterende onderzoeksagent - Aioga AI-nieuws","description":"Tencent HunYuan heeft Hyra-1.0 geïntroduceerd, een onderzoeksagent die zichzelf recursief kan verbeteren, en die de openbare resultaten van Recursive heeft overtroffen bij drie tak...","url":"https://www.aioga.com/nl/news/cmru3vmv252v2bihzm2btrcpy/","contentTranslated":true,"sourceHash":"f1af712b6dea6a0f","translatedAt":"2026-07-22T17:29:38.265Z"},"tr":{"title":"Tencent Hunyuan, Hyra-1.0 tekrar eden kendi kendine iyileşen araştırma ajanını tanıttı","summary":"Tencent Hunyuan, kendi kendini yineleyerek geliştirebilen bir araştırma zekası Hyra-1.0’ı tanıttı ve NanoChat dahil üç görevde Recursive’in açık sonuçlarını geride bıraktı. Hyra, 55 açık matematik probleminde 29 tarihi en iyi sonucu yeniledi ve yalnızca 15 eğitilebilir parametreyle 10 haneli toplama işlemini yapabilen bir Transformer tasarladı. Tüm ürünler GitHub’da açık kaynak olarak yayımlandı.","category":"产品更新","source":"公众号：腾讯混元","aggregationSource":"公众号：腾讯混元","pageTitle":"Tencent Hunyuan, Hyra-1.0 tekrar eden kendi kendine iyileşen araştırma ajanını tanıttı - Aioga AI Haberleri","description":"Tencent Hunyuan, kendi kendini yineleyerek geliştirebilen bir araştırma zekası Hyra-1.0’ı tanıttı ve NanoChat dahil üç görevde Recursive’in açık sonuçlarını geride bıraktı. Hyra, 5...","url":"https://www.aioga.com/tr/news/cmru3vmv252v2bihzm2btrcpy/","contentTranslated":true,"sourceHash":"f1af712b6dea6a0f","translatedAt":"2026-07-22T17:30:44.783Z"},"vi":{"title":"Tencent Hunyuan ra mắt Hyra-1.0, tác nhân nghiên cứu tự cải tiến lặp đi lặp lại","summary":"Tencent Hunyuan ra mắt Hyra-1.0, một tác nhân nghiên cứu trí tuệ có khả năng tự cải tiến đệ quy, vượt qua kết quả công khai của Recursive trong ba nhiệm vụ bao gồm NanoChat. Hyra đã thiết lập 29 kết quả tốt nhất lịch sử trong 55 vấn đề toán học mở và thiết kế Transformer chỉ với 15 tham số có thể huấn luyện để hoàn thành phép cộng 10 chữ số. Tất cả sản phẩm đã được công khai trên GitHub.","category":"产品更新","source":"公众号：腾讯混元","aggregationSource":"公众号：腾讯混元","pageTitle":"Tencent Hunyuan ra mắt Hyra-1.0, tác nhân nghiên cứu tự cải tiến lặp đi lặp lại - Tin tức AI Aioga","description":"Tencent Hunyuan ra mắt Hyra-1.0, một tác nhân nghiên cứu trí tuệ có khả năng tự cải tiến đệ quy, vượt qua kết quả công khai của Recursive trong ba nhiệm vụ bao gồm NanoChat. Hyra đ...","url":"https://www.aioga.com/vi/news/cmru3vmv252v2bihzm2btrcpy/","contentTranslated":true,"sourceHash":"f1af712b6dea6a0f","translatedAt":"2026-07-22T17:30:41.463Z"},"id":{"title":"Tencent Hunyuan meluncurkan agen penelitian peningkatan diri rekursif Hyra-1.0","summary":"Tencent Hunyuan meluncurkan Hyra-1.0, sebuah agen penelitian cerdas yang dapat memperbaiki dirinya sendiri secara rekursif, dan melampaui hasil publik Recursive pada tiga tugas termasuk NanoChat. Hyra mencatatkan 29 hasil terbaik sejarah dari 55 masalah matematika terbuka, dan merancang Transformer yang hanya dengan 15 parameter yang dapat dilatih sudah mampu melakukan penjumlahan 10 digit. Semua produk telah dibuka sumbernya di GitHub.","category":"产品更新","source":"公众号：腾讯混元","aggregationSource":"公众号：腾讯混元","pageTitle":"Tencent Hunyuan meluncurkan agen penelitian peningkatan diri rekursif Hyra-1.0 - Berita AI Aioga","description":"Tencent Hunyuan meluncurkan Hyra-1.0, sebuah agen penelitian cerdas yang dapat memperbaiki dirinya sendiri secara rekursif, dan melampaui hasil publik Recursive pada tiga tugas ter...","url":"https://www.aioga.com/id/news/cmru3vmv252v2bihzm2btrcpy/","contentTranslated":true,"sourceHash":"f1af712b6dea6a0f","translatedAt":"2026-07-22T17:31:30.130Z"},"th":{"title":"Tencent HunYuan เปิดตัว Hyra-1.0 ตัวแทนปัญญาประดิษฐ์วิจัยการปรับปรุงตนเองแบบวนซ้ำ","summary":"เทนเซ็นต์ HunYuan เปิดตัว Hyra-1.0 ตัวแทนอัจฉริยะสำหรับการวิจัยที่สามารถปรับปรุงตนเองแบบวนซ้ำ ในงานสามงานเช่น NanoChat Hyra ทำผลงานได้เหนือกว่าผลลัพธ์ที่เผยแพร่ของ Recursive Hyra ทำลายสถิติที่ดีที่สุดในประวัติศาสตร์ 29 รายการจากปัญหาเปิด 55 เรื่องทางคณิตศาสตร์ และออกแบบ Transformer ที่มีเพียง 15 พารามิเตอร์ที่สามารถฝึกได้แต่สามารถทำการบวกเลข 10 หลักได้ ผลิตภัณฑ์ทั้งหมดถูกเปิดเผยบน GitHub แล้ว","category":"产品更新","source":"公众号：腾讯混元","aggregationSource":"公众号：腾讯混元","pageTitle":"Tencent HunYuan เปิดตัว Hyra-1.0 ตัวแทนปัญญาประดิษฐ์วิจัยการปรับปรุงตนเองแบบวนซ้ำ - ข่าว AI Aioga","description":"เทนเซ็นต์ HunYuan เปิดตัว Hyra-1.0 ตัวแทนอัจฉริยะสำหรับการวิจัยที่สามารถปรับปรุงตนเองแบบวนซ้ำ ในงานสามงานเช่น NanoChat Hyra ทำผลงานได้เหนือกว่าผลลัพธ์ที่เผยแพร่ของ Recursive Hyra ท...","url":"https://www.aioga.com/th/news/cmru3vmv252v2bihzm2btrcpy/","contentTranslated":true,"sourceHash":"f1af712b6dea6a0f","translatedAt":"2026-07-22T17:31:37.260Z"},"pl":{"title":"Tencent Hunyuan wprowadza Hyra-1.0 rekursywnego agenta badawczego do samodoskonalenia","summary":"Tencent Hunyuan wprowadza Hyra-1.0, inteligentnego agenta badawczego zdolnego do rekurencyjnej samodoskonalenia, który w trzech zadaniach, w tym NanoChat, przewyższa publiczne wyniki Recursive. Hyra poprawił 29 historycznych rekordów wśród 55 otwartych problemów matematycznych i zaprojektował Transformera, który może wykonywać dodawanie 10-cyfrowych liczb mając tylko 15 trenowalnych parametrów. Wszystkie produkty zostały udostępnione na GitHubie jako otwarte oprogramowanie.","category":"产品更新","source":"公众号：腾讯混元","aggregationSource":"公众号：腾讯混元","pageTitle":"Tencent Hunyuan wprowadza Hyra-1.0 rekursywnego agenta badawczego do samodoskonalenia - Aioga Wiadomości AI","description":"Tencent Hunyuan wprowadza Hyra-1.0, inteligentnego agenta badawczego zdolnego do rekurencyjnej samodoskonalenia, który w trzech zadaniach, w tym NanoChat, przewyższa publiczne wyni...","url":"https://www.aioga.com/pl/news/cmru3vmv252v2bihzm2btrcpy/","contentTranslated":true,"sourceHash":"f1af712b6dea6a0f","translatedAt":"2026-07-22T17:32:23.426Z"}}}}