{"id":37163,"date":"2026-07-08T05:14:37","date_gmt":"2026-07-08T03:14:37","guid":{"rendered":"https:\/\/www.chinasmartbuy.com\/blog\/tencent-yonglong-tian-hunyuan-multimodale\/"},"modified":"2026-07-08T05:14:38","modified_gmt":"2026-07-08T03:14:38","slug":"tencent-yonglong-tian-hunyuan-multimodale","status":"publish","type":"post","link":"https:\/\/www.chinasmartbuy.com\/blog\/tencent-yonglong-tian-hunyuan-multimodale\/","title":{"rendered":"Tencent punta su Yonglong Tian per Hunyuan multimodale"},"content":{"rendered":"\n<link href=\"https:\/\/fonts.googleapis.com\/css2?family=Bebas+Neue&amp;family=DM+Sans:ital,wght@0,300;0,400;0,500;0,600;0,700;1,400&amp;display=swap\" rel=\"stylesheet\">\n<style>\n  :root {\n    --red: #CC1B1B;\n    --red-light: rgba(204,27,27,0.08);\n    --red-mid: #e84040;\n    --accent-soft-bg: rgba(204,27,27,0.07);\n    --accent-soft-border: rgba(204,27,27,0.18);\n    --text: #1a1a1a;\n    --text-muted: #666;\n    --card: #ffffff;\n    --border: #ebebeb;\n    --page-bg: #ffffff;\n    --surface-soft: #fafafa;\n    --surface-contrast: #f0f0f0;\n    --line-soft: #f5f5f5;\n    --soft-label: #bbb;\n    --muted-label: #999;\n    --copy: #333;\n    --font-head: 'Bebas Neue', sans-serif;\n    --font-body: 'DM Sans', sans-serif;\n    --heading-spacing: 0.04em;\n    --heading-weight: 400;\n    --spec-header-spacing: 0.08em;\n    --quickfacts-shadow: 0 10px 24px rgba(15,23,42,0.06);\n  }\n  .fbp5-wrap,.fbp5-wrap * { box-sizing:border-box; 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}\n    .rh-downloadbox-link { width:100%; }\n    .rh-offerbox-head { flex-direction:column; }\n    .rh-offerbox-links { grid-template-columns:1fr; }\n    .rh-offer-inline-wrap { flex-direction:column; align-items:flex-start; }\n    .rh-offer-inline-cta { width:100%; }\n  }\n\n  \/* RH_FBP5_CARDS_CSS_V1 *\/\n  .fbp5-related-grid { display:grid; grid-template-columns:repeat(3,1fr); gap:14px; }\n  .fbp5-telegram-grid { grid-template-columns:repeat(2,1fr); }\n  .fbp5-related-card { display:block; overflow:hidden; border:1px solid var(--border,#ebebeb); border-radius:8px; background:var(--card,#fff); color:inherit !important; text-decoration:none !important; transition:transform .18s ease, box-shadow .18s ease, border-color .18s ease; }\n  .fbp5-related-card:hover { transform:translateY(-2px); border-color:rgba(204,27,27,.35); box-shadow:0 16px 36px rgba(18,18,18,.10); }\n  .fbp5-related-card img { display:block; width:100%; aspect-ratio:16\/9; object-fit:cover; background:var(--surface-soft,#fafafa); }\n  .fbp5-related-thumb-placeholder { width:100%; aspect-ratio:16\/9; display:flex; align-items:center; justify-content:center; background:linear-gradient(135deg,rgba(204,27,27,.10),rgba(204,27,27,.03)); color:var(--red,#CC1B1B); font-family:var(--font-head,'Bebas Neue',sans-serif); font-size:28px; letter-spacing:.04em; }\n  .fbp5-related-body { padding:12px; }\n  .fbp5-related-body span { display:block; margin:0 0 6px; color:var(--red,#CC1B1B); font-size:11px; font-weight:900; letter-spacing:.08em; text-transform:uppercase; }\n  .fbp5-related-body strong { display:block; font-size:15px; line-height:1.25; color:var(--text,#1a1a1a); }\n  .fbp5-related-body small { display:block; margin:7px 0 0; color:var(--text-muted,#666); font-size:13px; line-height:1.35; }\n  @media(max-width:720px) {\n    .fbp5-telegram-grid { grid-template-columns:1fr; }\n    .fbp5-related-grid:not(.fbp5-telegram-grid) { grid-template-columns:1fr; }\n    .fbp5-related-grid:not(.fbp5-telegram-grid) .fbp5-related-card { display:grid; grid-template-columns:112px minmax(0,1fr); align-items:stretch; }\n    .fbp5-related-grid:not(.fbp5-telegram-grid) .fbp5-related-card img,\n    .fbp5-related-grid:not(.fbp5-telegram-grid) .fbp5-related-thumb-placeholder { height:100%; min-height:92px; aspect-ratio:auto; }\n  }\n<\/style>\n<div class=\"fbp5-wrap rh-json-article\" id=\"rh-article-mrbi7n10-et5wu\" data-rh-article-type=\"news\" data-rh-site-profile=\"china-smart-buy\">\n  <div class=\"fbp5-intro\">\n    \n    <p>Tencent avrebbe accolto nel team Hunyuan l\u2019ex ricercatore OpenAI <strong>Yonglong Tian<\/strong>, nome ben noto nell\u2019ambito della computer vision e dei modelli generativi. L\u2019indiscrezione lo indica come possibile nuovo riferimento per la direzione <strong>multimodale<\/strong> della piattaforma AI del gruppo.<\/p><p>La nomina non sarebbe ancora definitiva, ma il segnale \u00e8 chiaro: Tencent continua a rafforzare Hunyuan con profili di alto livello, puntando in particolare su VLM e modelli che combinano immagini e linguaggio. \u00c8 una mossa che pesa soprattutto per il profilo tecnico del ricercatore e per il momento in cui arriva.<\/p>\n  <\/div><figure class=\"wp-block-image size-large\" style=\"margin:18px 0;display:block;clear:both;width:100%;position:relative;z-index:1\"><a href=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/07\/tencent-punta-su-yonglong-tian-per-hunyuan-multimodale-image-ca63d209-8dd4-41c4-b58b-eb94-1mv7cr.jpg\" target=\"_blank\" rel=\"noopener\" style=\"display:block;width:100%;position:relative;z-index:2;pointer-events:auto;cursor:zoom-in\"><img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/07\/tencent-punta-su-yonglong-tian-per-hunyuan-multimodale-image-ca63d209-8dd4-41c4-b58b-eb94-1mv7cr.jpg\" alt=\"\u59da\u987a\u96e8 OpenAI \u524d\u540c\u4e8b\u7530\u6c38\u9f99\u88ab\u66dd\u52a0\u5165\u817e\u8baf\uff0c\u6df7\u5143\u591a\u6a21\u6001\u6709\u671b\u8fce\u6765\u65b0\u8d1f\u8d23\u4eba\" loading=\"lazy\" style=\"display:block;max-width:100%;height:auto;margin:0 auto;pointer-events:auto\"><\/a><\/figure>\n  \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Scenario<\/div>\n        <h2>Tencent accelera su Hunyuan multimodale con un profilo <span>arrivato da OpenAI<\/span><\/h2>\n        <p>Yonglong Tian avrebbe recentemente lasciato OpenAI per unirsi a Tencent, dove andrebbe a riportare al chief AI scientist <strong>Yao Shunyu<\/strong>. Il suo possibile incarico riguarda il filone multimodale di Hunyuan, con coinvolgimento nelle attivit\u00e0 di ricerca e sviluppo legate ai modelli visione-linguaggio.<\/p><p>Se l\u2019ingresso verr\u00e0 confermato in modo definitivo, si tratter\u00e0 di un altro passaggio rilevante da OpenAI a Tencent dopo quello di Yao Shunyu. I due hanno gi\u00e0 lavorato nello stesso periodo nel team di ricerca di OpenAI, seguendo da vicino l\u2019evoluzione dei modelli GPT e delle tecnologie multimodali.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>Possibile ruolo di riferimento per <strong>Hunyuan multimodale<\/strong>.<\/li><li>Riporto diretto al chief AI scientist <strong>Yao Shunyu<\/strong>.<\/li><li>Coinvolgimento atteso nei modelli <strong>VLM<\/strong>, ci\u00f2\u00e8 visione e linguaggio.<\/li><li>La nomina viene descritta come non ancora completamente finalizzata.<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Azienda<\/div>\n        <div class=\"rh-quickfacts-value\">Tencent<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Team<\/div>\n        <div class=\"rh-quickfacts-value\">Hunyuan<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Area<\/div>\n        <div class=\"rh-quickfacts-value\">Modelli multimodali<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Provenienza<\/div>\n        <div class=\"rh-quickfacts-value\">OpenAI<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">L\u2019interesse della notizia non \u00e8 solo nel cambio di azienda, ma nel fatto che Tencent continua a costruire il proprio stack AI multimodale con ricercatori che arrivano dai laboratori pi\u00f9 competitivi del settore.<\/div>\n        <div class=\"fbp5-info\">Per chi segue l\u2019evoluzione dei modelli AI, il punto chiave \u00e8 che Hunyuan sta consolidando una struttura pi\u00f9 focalizzata e meno dispersiva proprio sulle tecnologie visione-linguaggio.<\/div>\n        \n      <div class=\"fbp5-scheda\">\n        <div class=\"fbp5-scheda-header\">Cosa cambia nel team Hunyuan<\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Nuovo ingresso<\/div>\n            <div class=\"fbp5-scheda-val\">Yonglong Tian<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Ruolo ipotizzato<\/div>\n            <div class=\"fbp5-scheda-val\">Responsabile della direzione multimodale<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Supervisione<\/div>\n            <div class=\"fbp5-scheda-val\">Yao Shunyu<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Focus tecnico<\/div>\n            <div class=\"fbp5-scheda-val\">Computer vision, rappresentazioni visive, modelli generativi<\/div>\n          <\/div>\n        \n      <\/div>\n    \n      <\/section>\n    \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Profilo<\/div>\n        <h2>Chi \u00e8 Yonglong Tian e perch\u00e9 il suo curriculum conta nella corsa ai <span>modelli visivi<\/span><\/h2>\n        <p>Il percorso accademico di Yonglong Tian parte da Tsinghua University, prosegue con un master di ricerca alla Chinese University of Hong Kong e arriva al dottorato al MIT, concluso nel 2022 sotto la guida di Phillip Isola. Nel tempo il suo focus si \u00e8 spostato dalla visione artificiale classica verso i modelli generativi e il representation learning.<\/p><p>Dopo il dottorato \u00e8 entrato in Google Research come senior research scientist, per poi passare a Google DeepMind nel 2024 e successivamente a OpenAI come member of technical staff. Nel suo lavoro recente si \u00e8 concentrato su visione artificiale, apprendimento delle rappresentazioni visive e modelli generativi.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>La sua ricerca pi\u00f9 influente \u00e8 <strong>Supervised Contrastive Learning<\/strong>, oggi molto citata nella computer vision.<\/li><li>Ha contribuito anche a <strong>Fluid 10.5B<\/strong>, progetto su modelli autoregressivi text-to-image scalabili.<\/li><li>Tra i temi seguiti: qualit\u00e0 della rappresentazione visiva, generazione di immagini e training con dati sintetici.<\/li><li>Il suo profilo unisce esperienza accademica forte e passaggi in Google, DeepMind e OpenAI.<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Titoli Google Scholar<\/div>\n        <div class=\"rh-quickfacts-value\">28.778 citazioni<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">h-index<\/div>\n        <div class=\"rh-quickfacts-value\">35<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Dottorato<\/div>\n        <div class=\"rh-quickfacts-value\">MIT EECS<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Settori chiave<\/div>\n        <div class=\"rh-quickfacts-value\">Computer vision e modelli generativi<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">Per Tencent il valore pratico \u00e8 evidente: Tian porta competenze su modelli visivi avanzati, generazione di immagini e training multimodale, tre aree centrali per chi vuole competere nella nuova fase dell\u2019AI generativa.<\/div>\n        <div class=\"fbp5-info\">Il riferimento a Fluid \u00e8 particolarmente interessante perch\u00e9 mette in evidenza attenzione alla scalabilit\u00e0 dei modelli text-to-image, un tassello che pu\u00f2 avere ricadute dirette anche nei futuri sistemi multimodali di Hunyuan.<\/div>\n        \n      <div class=\"fbp5-scheda\">\n        <div class=\"fbp5-scheda-header\">Tappe principali del percorso<\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Laurea<\/div>\n            <div class=\"fbp5-scheda-val\">Tsinghua University<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Master di ricerca<\/div>\n            <div class=\"fbp5-scheda-val\">Chinese University of Hong Kong<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">PhD<\/div>\n            <div class=\"fbp5-scheda-val\">MIT, completato nel 2022<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Esperienze industriali<\/div>\n            <div class=\"fbp5-scheda-val\">Google Research, Google DeepMind, OpenAI<\/div>\n          <\/div>\n        \n      <\/div>\n    \n      <\/section>\n    \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Strategia<\/div>\n        <h2>La riorganizzazione di Tencent mostra una spinta pi\u00f9 decisa <span>sui modelli multimodali<\/span><\/h2>\n        <p>L\u2019arrivo di Tian si inserisce in una fase di riassetto pi\u00f9 ampia. Dopo l\u2019uscita di Liu Wei, che in precedenza seguiva il coordinamento multimodale di Hunyuan, la responsabilit\u00e0 del settore era passata temporaneamente a Jiang Jie, vicepresidente di Tencent.<\/p><p>Nel 2025 Tencent ha poi formalizzato all\u2019interno della divisione tecnica TEG due dipartimenti distinti, uno per i grandi modelli linguistici e uno per i modelli multimodali. L\u2019obiettivo \u00e8 rendere meno frammentata la struttura e concentrare meglio risorse e responsabilit\u00e0.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>A fine 2024 \u00e8 uscito Liu Wei, ex figura chiave del coordinamento multimodale.<\/li><li>Nel 2025 Tencent ha creato reparti separati per <strong>LLM<\/strong> e <strong>multimodale<\/strong>.<\/li><li>Nei mesi successivi sono arrivati altri ricercatori di alto profilo da laboratori e aziende del settore.<\/li><li>La direzione \u00e8 chiara: meno struttura virtuale, pi\u00f9 organizzazione dedicata e competenze verticali.<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Gruppo interno<\/div>\n        <div class=\"rh-quickfacts-value\">TEG<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Nuovi reparti<\/div>\n        <div class=\"rh-quickfacts-value\">Grandi modelli linguistici e modelli multimodali<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Obiettivo<\/div>\n        <div class=\"rh-quickfacts-value\">Ridurre dispersione di risorse<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Trend<\/div>\n        <div class=\"rh-quickfacts-value\">Assunzioni mirate su AI avanzata<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">Per Tencent non \u00e8 solo una questione di nomi: la vera notizia \u00e8 la costruzione di una catena tecnica pi\u00f9 definita per accelerare su modelli visivi, text-to-image e sistemi AI multimodali completi.<\/div>\n        <div class=\"fbp5-info\">Non ci sono dettagli su prodotti commerciali, prezzi o disponibilit\u00e0, ma la rilevanza della notizia \u00e8 industriale: pi\u00f9 talenti di ricerca spesso anticipano nuovi modelli, nuove release open source o una maggiore velocit\u00e0 di sviluppo.<\/div>\n        \n      <div class=\"fbp5-scheda\">\n        <div class=\"fbp5-scheda-header\">Evoluzione recente di Hunyuan<\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Fine 2024<\/div>\n            <div class=\"fbp5-scheda-val\">Uscita di Liu Wei<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Aprile 2025<\/div>\n            <div class=\"fbp5-scheda-val\">Creazione dei dipartimenti LLM e multimodale<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">2025-2026<\/div>\n            <div class=\"fbp5-scheda-val\">Nuovi ingressi in vision, multimodale e reinforcement learning<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Possibile prossimo passo<\/div>\n            <div class=\"fbp5-scheda-val\">Yonglong Tian alla guida della direzione multimodale<\/div>\n          <\/div>\n        \n      <\/div>\n    \n      <\/section>\n    \n<section class=\"fbp5-section\" data-rh-related-section=\"1\">\n      <div class=\"fbp5-section-label\">Articoli correlati<\/div>\n      <h2>Altre notizie <span>da leggere<\/span><\/h2>\n      <div class=\"fbp5-related-grid\"><a class=\"fbp5-related-card\" href=\"https:\/\/www.chinasmartbuy.com\/blog\/chatgpt-falla-file-caricati-prompt-injection-openai-fix\/\" target=\"_blank\" rel=\"noopener\">\n      <img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/07\/chatgpt-scoperta-una-falla-nei-file-caricati-986562f1-67db-4388-be09-d571-1kmcn8o1po.webp\" alt=\"ChatGPT, scoperta una falla nei file caricati: OpenAI ha gi\u00e0 corretto il bug\" loading=\"lazy\">\n      <div class=\"fbp5-related-body\">\n        <span>openai<\/span>\n        <strong>ChatGPT, scoperta una falla nei file caricati: OpenAI ha gi\u00e0 corretto il bug<\/strong>\n        <small>Scoperta una vulnerabilit\u00e0 in ChatGPT che poteva esporre link interni dei file caricati. 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