{"id":38502,"date":"2026-07-18T20:45:00","date_gmt":"2026-07-18T18:45:00","guid":{"rendered":"https:\/\/www.chinasmartbuy.com\/blog\/?p=38502"},"modified":"2026-07-18T19:46:38","modified_gmt":"2026-07-18T17:46:38","slug":"grok-4-6-training-finale-modello-2t-parametri","status":"publish","type":"post","link":"https:\/\/www.chinasmartbuy.com\/blog\/grok-4-6-training-finale-modello-2t-parametri\/","title":{"rendered":"Grok 4.6 verso il training finale: xAI prepara un modello da 2T parametri"},"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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flex-shrink:0; }\n  .rh-downloadbox-note { margin:14px 0 0; font-size:12px; line-height:1.55; color:var(--text-muted); }\n  .rh-offerbox { margin:4px 0 0; }\n  .rh-offerbox-wrap { background:linear-gradient(135deg,var(--accent-soft-bg),#fff); border:1px solid var(--accent-soft-border); border-radius:18px; padding:20px; box-shadow:var(--quickfacts-shadow); }\n  .rh-offerbox-head { display:flex; justify-content:space-between; align-items:flex-start; gap:16px; margin-bottom:14px; }\n  .rh-offerbox-kicker { font-size:11px; font-weight:800; letter-spacing:0.12em; text-transform:uppercase; color:var(--red); margin-bottom:6px; }\n  .rh-offerbox-title { font-family:var(--font-head); font-size:clamp(24px,3.4vw,34px); line-height:1; color:var(--text); letter-spacing:var(--heading-spacing); margin:0; }\n  .rh-offerbox-count { flex-shrink:0; border:1px solid var(--accent-soft-border); background:#fff; color:var(--red); border-radius:999px; padding:6px 10px; font-size:11px; font-weight:800; text-transform:uppercase; }\n  .rh-offerbox-links { display:grid; grid-template-columns:repeat(auto-fit,minmax(220px,1fr)); gap:10px; }\n  .rh-offerbox-link { display:flex; align-items:center; justify-content:center; gap:8px; background:var(--red); color:#fff !important; text-decoration:none !important; border-radius:999px; padding:11px 16px; font-size:14px; font-weight:800; text-align:center; }\n  .rh-offerbox-link small { opacity:.82; font-size:11px; font-weight:700; }\n  .rh-offerbox-link svg { width:13px; height:13px; flex-shrink:0; }\n  .rh-offerbox-note { margin:14px 0 0; font-size:12px; line-height:1.55; color:var(--text-muted); }\n  .rh-offer-inline { margin:0; }\n  .rh-offer-inline-wrap { display:flex; align-items:center; justify-content:space-between; gap:16px; background:var(--surface-soft); border:1px solid var(--accent-soft-border); border-left:4px solid var(--red); border-radius:16px; padding:16px 18px; box-shadow:var(--quickfacts-shadow); }\n  .rh-offer-inline-kicker { font-size:10px; font-weight:800; letter-spacing:0.12em; text-transform:uppercase; color:var(--red); margin-bottom:4px; }\n  .rh-offer-inline-title { font-size:15px; line-height:1.35; color:var(--text); font-weight:800; }\n  .rh-offer-inline-store { margin-top:3px; font-size:12px; color:var(--text-muted); font-weight:700; }\n  .rh-offer-inline-cta { display:inline-flex; align-items:center; justify-content:center; gap:8px; flex-shrink:0; background:var(--red); color:#fff !important; text-decoration:none !important; border-radius:999px; padding:11px 16px; font-size:13px; font-weight:800; white-space:nowrap; }\n  .rh-offer-inline-cta svg { width:13px; height:13px; flex-shrink:0; }\n  .rh-offer-inline-note { margin:9px 0 0; font-size:12px; line-height:1.55; color:var(--text-muted); }\n  .rh-external-embed { margin:4px 0 0; }\n  .rh-external-embed-wrap { width:100%; background:#fff; border:1px solid var(--border); border-radius:16px; overflow:hidden; box-shadow:var(--quickfacts-shadow); }\n  .rh-external-embed-head { display:flex; align-items:center; justify-content:space-between; gap:12px; padding:14px 18px; background:var(--surface-soft); border-bottom:1px solid var(--border); }\n  .rh-external-embed-kicker { font-size:11px; font-weight:700; letter-spacing:0.08em; text-transform:uppercase; color:var(--red); }\n  .rh-external-embed-source { font-size:12px; color:var(--soft-label); }\n  .rh-external-embed-frame { position:relative; aspect-ratio:16 \/ 9; overflow:hidden; background:#000; min-height:0; }\n  .rh-external-embed-frame iframe, .rh-external-embed-frame > iframe { position:absolute !important; inset:0; width:100% !important; height:100% !important; min-height:0 !important; max-height:none !important; max-width:none !important; border:0; display:block; }\n  .rh-external-embed-body { padding:18px 20px; display:grid; gap:12px; }\n  .rh-external-embed-title { font-family:var(--font-head); font-size:24px; line-height:1; color:var(--text); letter-spacing:0.02em; }\n  .rh-external-embed-copy { font-size:14px; color:var(--text-muted); line-height:1.6; }\n  .rh-external-embed-link { display:inline-flex; align-items:center; gap:8px; width:fit-content; color:var(--red) !important; text-decoration:none !important; font-weight:700; }\n  .rh-external-embed-link svg { width:13px; height:13px; flex-shrink:0; }\n  .fbp5-section { display:flex; flex-direction:column; gap:0; }\n  .fbp5-section-label { display:inline-flex; align-items:center; gap:7px; font-size:11px; font-weight:700; letter-spacing:0.14em; text-transform:uppercase; color:var(--red); margin-bottom:10px; }\n  .fbp5-section-label::before { content:''; display:block; width:18px; height:2px; background:var(--red); }\n  .fbp5-section h2 { font-family:var(--font-head); font-size:clamp(27px,4vw,39px); letter-spacing:var(--heading-spacing); font-weight:var(--heading-weight); color:var(--text); line-height:1.05; margin-bottom:20px; }\n  .fbp5-section h2 span { color:var(--red); }\n  .fbp5-section p { font-size:17px; color:var(--copy); line-height:1.78; margin-bottom:14px; }\n  .fbp5-bullet-list { margin:18px 0 6px 20px; padding:0; display:flex; flex-direction:column; gap:10px; }\n  .fbp5-bullet-list li { font-size:16px; line-height:1.7; color:#1f2937; }\n  .fbp5-bullet-list li::marker { color:var(--red); }\n  .rh-quickfacts-grid { margin:18px 0 0; display:grid; grid-template-columns:repeat(auto-fit,minmax(220px,1fr)); gap:12px; }\n  .rh-quickfacts-card { background:#fff; border:1px solid var(--border); border-radius:16px; padding:14px 16px; box-shadow:var(--quickfacts-shadow); display:flex; flex-direction:column; gap:6px; }\n  .rh-quickfacts-label { font-size:12px; font-weight:800; letter-spacing:0.08em; text-transform:uppercase; color:var(--red); }\n  .rh-quickfacts-value { font-size:15px; line-height:1.6; color:#1f2937; }\n  .fbp5-highlight { background:var(--red-light); border-left:4px solid var(--red); border-radius:0 10px 10px 0; padding:15px 19px; margin:18px 0 0; font-size:16px; color:var(--copy); line-height:1.65; }\n  .fbp5-info { background:var(--surface-soft); border:1px solid var(--border); border-radius:10px; padding:15px 19px; margin:18px 0 0; font-size:15px; color:var(--text-muted); line-height:1.65; }\n  .fbp5-scheda { background:var(--card); border:1px solid var(--border); border-radius:14px; overflow:hidden; margin:20px 0 0; }\n  .fbp5-scheda-header { background:var(--red); color:#fff; padding:14px 20px; font-family:var(--font-head); font-size:20px; font-weight:var(--heading-weight); letter-spacing:var(--spec-header-spacing); }\n  .fbp5-scheda-row { display:flex; border-bottom:1px solid var(--border); }\n  .fbp5-scheda-row:last-child { border-bottom:none; }\n  .fbp5-scheda-key { width:42%; padding:11px 16px; font-size:13px; font-weight:700; color:var(--text-muted); text-transform:uppercase; letter-spacing:0.06em; background:var(--surface-soft); flex-shrink:0; }\n  .fbp5-scheda-val { padding:11px 16px; font-size:14px; color:var(--text); font-weight:500; line-height:1.5; }\n  @media(max-width:600px) {\n    .fbp5-wrap { padding:0 14px 60px; gap:40px; }\n    .fbp5-section h2 { font-size:32px; }\n    .fbp5-scheda-row { flex-direction:column; }\n    .fbp5-scheda-key { width:100%; }\n    .rh-phonebox-header { padding:18px 16px; flex-direction:column; align-items:center; }\n    .rh-phonebox-hero { width:150px; height:200px; }\n    .rh-phonebox-highlights { grid-template-columns:repeat(2,minmax(0,1fr)); }\n    .rh-phonebox-colors { padding:16px; }\n    .rh-phonebox-section { grid-template-columns:1fr; }\n    .rh-phonebox-section-label { padding:14px 20px; border-right:none; border-bottom:1px solid var(--border); }\n    .rh-phonebox-section-values { padding:14px 20px; }\n    .rh-affbox-grid { grid-template-columns:1fr; }\n    .rh-affbox-col:not(:last-child) { border-right:none; border-bottom:1px solid var(--line-soft); }\n    .rh-affbox-cta { width:100%; }\n    .rh-downloadjump { align-items:flex-start; flex-direction:column; margin:-22px 0 0; }\n    .rh-downloadjump a { width:100%; }\n    .rh-downloadbox-head { flex-direction:column; }\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-mrqnrvhk-x879b\" data-rh-article-type=\"news\" data-rh-site-profile=\"china-smart-buy\">\n  <div class=\"fbp5-intro\">\n    \n    <p>Elon Musk ha anticipato che <strong>Grok 4.6<\/strong> \u00e8 entrato nella fase finale di addestramento iniziale e che il nuovo modello di xAI dovrebbe completare questo passaggio gi\u00e0 la prossima settimana. Il dato che colpisce di pi\u00f9 \u00e8 la scala: si parla di <strong>2.000 miliardi di parametri<\/strong>, un salto rispetto alla generazione attuale.<\/p><p>L&#8217;obiettivo dichiarato non \u00e8 soltanto aumentare la dimensione del modello, ma farlo mantenendo velocit\u00e0 di inferenza ed efficienza dei token vicine a quelle della versione da 1.500 miliardi di parametri. \u00c8 un dettaglio importante, perch\u00e9 nella corsa ai grandi modelli contano sempre di pi\u00f9 anche tempi di risposta e costo operativo.<\/p>\n  <\/div>\n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Panoramica<\/div>\n        <h2>Grok 4.6 punta ai 2.000 miliardi di parametri <span>senza sacrificare l&#8217;efficienza<\/span><\/h2>\n        <p>Musk ha spiegato che il nuovo Grok 4.6 da <strong>2T<\/strong> \u00e8 superiore sotto ogni aspetto all&#8217;attuale versione basata su 1,5T parametri, indicata come Grok 4.5. Allo stesso tempo, xAI starebbe lavorando per mantenere prestazioni di inferenza e resa per token molto vicine al modello precedente, cos\u00ec da evitare che l&#8217;aumento di scala si traduca in un peggioramento della fruibilit\u00e0 pratica.<\/p><p>Nel confronto competitivo, Musk ritiene che questo modello possa superare Kimi 3, una delle proposte pi\u00f9 recenti nel segmento dei grandi modelli linguistici. Per ora, per\u00f2, non ci sono ancora dettagli ufficiali su data di lancio, specifiche complete o architettura finale del modello.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>Completamento dell&#8217;addestramento iniziale previsto <strong>la prossima settimana<\/strong>.<\/li><li>Dimensione del modello indicata in <strong>2.000 miliardi di parametri<\/strong>.<\/li><li>Velocit\u00e0 di inferenza ed efficienza dei token attese vicino al livello del modello da 1,5T.<\/li><li>Obiettivo dichiarato: fare meglio della generazione attuale e puntare oltre Kimi 3.<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Nome modello<\/div>\n        <div class=\"rh-quickfacts-value\">Grok 4.6<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Azienda<\/div>\n        <div class=\"rh-quickfacts-value\">xAI<\/div>\n      <\/div>\n    \n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Confronto interno<\/div>\n        <div class=\"rh-quickfacts-value\">Grok 4.5 da 1,5T parametri<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">Il punto centrale della notizia \u00e8 che xAI vuole spingere molto pi\u00f9 in alto la scala del modello senza perdere l&#8217;efficienza operativa della generazione precedente.<\/div>\n        <div class=\"fbp5-info\">Nel mondo dei grandi modelli, il numero di parametri misura la scala del sistema, ma non basta da solo a definirne la qualit\u00e0 finale.<\/div>\n        \n      <div class=\"fbp5-scheda\">\n        <div class=\"fbp5-scheda-header\">Dati chiave emersi finora<\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Parametri dichiarati<\/div>\n            <div class=\"fbp5-scheda-val\">2T<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Versione precedente di riferimento<\/div>\n            <div class=\"fbp5-scheda-val\">1,5T<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Fine training iniziale<\/div>\n            <div class=\"fbp5-scheda-val\">Attesa per la prossima settimana<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Lancio ufficiale<\/div>\n            <div class=\"fbp5-scheda-val\">Non annunciato<\/div>\n          <\/div>\n        \n      <\/div>\n    \n      <\/section>\n    \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Contesto<\/div>\n        <h2>La crescita di Grok passa da pi\u00f9 potenza di calcolo e da una concorrenza <span>sempre pi\u00f9 serrata<\/span><\/h2>\n        <p>Il percorso di crescita di xAI si inserisce in una strategia di forte espansione delle risorse di calcolo. In precedenza l&#8217;azienda aveva gi\u00e0 indicato che Grok 4 \u00e8 stato addestrato sul cluster AI chiamato Colossus, una piattaforma con circa <strong>200.000 GPU<\/strong> usata per training e reinforcement learning.<\/p><p>Questo chiarisce anche perch\u00e9 il semplice aumento dei parametri non vada letto in modo isolato. Le prestazioni reali dipendono anche da qualit\u00e0 dei dati, metodo di addestramento, architettura di inferenza, disponibilit\u00e0 di calcolo e ottimizzazioni successive.<\/p>\n        <ul class=\"fbp5-bullet-list\"><li>Grok 4 \u00e8 stato addestrato con il cluster <strong>Colossus<\/strong>.<\/li><li>L&#8217;infrastruttura citata conta circa <strong>200.000 GPU<\/strong>.<\/li><li>La fase successiva al training pu\u00f2 includere fine-tuning e reinforcement learning.<\/li><li>La competizione oggi si gioca su capacit\u00e0, velocit\u00e0 di risposta ed efficienza dei costi.<\/li><\/ul>\n        <div class=\"rh-quickfacts-grid\">\n      <div class=\"rh-quickfacts-card\">\n        <div class=\"rh-quickfacts-label\">Base precedente citata da Musk<\/div>\n        <div class=\"rh-quickfacts-value\">V9-Medium da 1,5T parametri<\/div>\n      <\/div>\n    <\/div>\n        <div class=\"fbp5-highlight\">Per chi segue il settore, il dato pi\u00f9 interessante non \u00e8 solo la taglia del modello, ma il tentativo di tenere sotto controllo velocit\u00e0 e costo di utilizzo.<\/div>\n        <div class=\"fbp5-info\">Al momento restano da chiarire disponibilit\u00e0 pubblica, tempi del rilascio finale e specifiche tecniche complete di Grok 4.6.<\/div>\n        \n      <div class=\"fbp5-scheda\">\n        <div class=\"fbp5-scheda-header\">Contesto tecnico e industriale<\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Area di competizione<\/div>\n            <div class=\"fbp5-scheda-val\">Modelli linguistici di grandi dimensioni<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Fattori che incidono sulle prestazioni<\/div>\n            <div class=\"fbp5-scheda-val\">Dati, training, architettura, calcolo, ottimizzazione<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Aziende rivali citate nel contesto<\/div>\n            <div class=\"fbp5-scheda-val\">OpenAI, Google, Anthropic<\/div>\n          <\/div>\n        \n          <div class=\"fbp5-scheda-row\">\n            <div class=\"fbp5-scheda-key\">Obiettivo industriale<\/div>\n            <div class=\"fbp5-scheda-val\">Aumentare capacit\u00e0 riducendo l&#8217;impatto sull&#8217;inferenza<\/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\/li-auto-i6-vendite-suv-medio-grandi-primo\/\" target=\"_blank\" rel=\"noopener\">\n      <img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/07\/li-auto-i6-il-suv-medio-grande-pi-venduto-nel-primo-semestre-2026-3ae6ce72-250e-4d9e-9e0b-0650-1.webp\" alt=\"Li Auto i6 \u00e8 il SUV medio-grande pi\u00f9 venduto nel primo semestre 2026\" loading=\"lazy\">\n      <div class=\"fbp5-related-body\">\n        <span>auto<\/span>\n        <strong>Li Auto i6 \u00e8 il SUV medio-grande pi\u00f9 venduto nel primo semestre 2026<\/strong>\n        <small>Li Auto i6 conquista il primo posto tra i SUV medio-grandi nel primo semestre 2026, con oltre 120. 000 unit\u00e0 vendut&#8230;<\/small>\n      <\/div>\n    <\/a><a class=\"fbp5-related-card\" href=\"https:\/\/www.chinasmartbuy.com\/blog\/openai-gpt-5-6-crescita-agenti-ai-token\/\" target=\"_blank\" rel=\"noopener\">\n      <img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/07\/openai-2f0fb798-20ec-45a1-8d06-a525-197vbffaw4-1.webp\" alt=\"OpenAI: uso degli agenti AI in crescita di 2,5 volte dopo GPT-5.6\" loading=\"lazy\">\n      <div class=\"fbp5-related-body\">\n        <span>ai<\/span>\n        <strong>OpenAI: uso degli agenti AI in crescita di 2,5 volte dopo GPT-5.6<\/strong>\n        <small>Il lancio di GPT-5. 6 ha gi\u00e0 spinto l\u2019uso degli agenti AI di OpenAI, con token in crescita di 2,5 volte e un forte&#8230;<\/small>\n      <\/div>\n    <\/a><a class=\"fbp5-related-card\" href=\"https:\/\/www.chinasmartbuy.com\/blog\/aito-m9-test-autonomia-reale-630-km\/\" target=\"_blank\" rel=\"noopener\">\n      <img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/07\/aito-m9-supera-630-km-reali-nel-test-autonomia-tra-chengdu-e-chongqing-94a4dfdb-3efd-4ff2-8668-c.jpg\" alt=\"Aito M9 supera 630 km reali nel test autonomia tra Chengdu e Chongqing\" loading=\"lazy\">\n      <div class=\"fbp5-related-body\">\n        <span>auto<\/span>\n        <strong>Aito M9 supera 630 km reali nel test autonomia tra Chengdu e Chongqing<\/strong>\n        <small>Il nuovo Aito M9 ha completato un test live di autonomia elettrica con 630,6 km reali in condizioni impegnative.<\/small>\n      <\/div>\n    <\/a><\/div>\n    <\/section><div class=\"rh-attribution-pills\" style=\"display:flex;gap:10px;flex-wrap:wrap;justify-content:flex-start;margin:16px 0 0\"><a href=\"https:\/\/www.ithome.com\/0\/978\/595.htm\" target=\"_blank\" rel=\"noopener\" title=\"Via: VIA\" aria-label=\"Via: VIA\" style=\"display:inline-flex;align-items:center;gap:8px;padding:10px 16px;border-radius:16px;background:linear-gradient(135deg,#fff7ed,#ffedd5);color:#c2410c;text-decoration:none;font-size:11px;font-weight:900;letter-spacing:.08em;text-transform:uppercase;border:1px solid rgba(249,115,22,.20);box-shadow:0 8px 22px rgba(249,115,22,.08)\">Via<\/a><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Grok 4. 6 dovrebbe completare il training iniziale la prossima settimana: xAI punta a 2. 000 miliardi di parametri con efficienza vicina al modello attuale.<\/p>\n","protected":false},"author":5,"featured_media":38501,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_yoast_wpseo_focuskw_text_input":"Grok 4.6 2T parametri","footnotes":""},"categories":[480],"tags":[1129,1143],"class_list":["post-38502","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-auto","tag-openai"],"blocksy_meta":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Grok 4.6 verso il training finale: xAI prepara un modello da 2T parametri<\/title>\n<meta name=\"description\" content=\"Grok 4. 6 entra nella fase finale di addestramento: xAI punta a 2. 000 miliardi di parametri mantenendo efficienza e velocit\u00e0 vicine a Grok 4. 5.\" \/>\n<meta name=\"robots\" content=\"index, follow, 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