{"id":43278,"date":"2026-08-25T03:42:42","date_gmt":"2026-08-25T01:42:42","guid":{"rendered":"https:\/\/www.chinasmartbuy.com\/blog\/inherent-faraday-agente-ai-scientifico\/"},"modified":"2026-08-25T03:42:44","modified_gmt":"2026-08-25T01:42:44","slug":"inherent-faraday-agente-ai-scientifico","status":"publish","type":"post","link":"https:\/\/www.chinasmartbuy.com\/blog\/inherent-faraday-agente-ai-scientifico\/","title":{"rendered":"Inherent presenta Faraday: l\u2019agente AI scientifico supera GPT-5.5 in un test mirato"},"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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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-mt802l52-crukq\" data-rh-article-type=\"news\" data-rh-site-profile=\"china-smart-buy\">\n  <div class=\"fbp5-intro\">\n    \n    <p>La startup londinese Inherent ha presentato Faraday, un agente AI pensato per il lavoro scientifico che, in un benchmark mirato sulla riproduzione di articoli accademici gi\u00e0 pubblicati, ha superato modelli ben pi\u00f9 grandi come GPT-5.5 e Claude Opus 4.8.<\/p><p>L\u2019annuncio \u00e8 interessante perch\u00e9 non riguarda solo la precisione nel ricostruire risultati gi\u00e0 noti, ma anche l\u2019idea di addestrare un agente capace di ragionare come un ricercatore, scegliendo quali esperimenti valga la pena eseguire e come impostarli.<\/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\/08\/inherent-faraday-3fd65ff0-5bbb-4ef6-b4ec-ad2e-qsg4ezfkeg.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\/08\/inherent-faraday-3fd65ff0-5bbb-4ef6-b4ec-ad2e-qsg4ezfkeg.jpg\" alt=\"Inherent \u63a8\u51fa\u5c0f\u53c2\u6570 AI \u667a\u80fd\u4f53 Faraday\uff0c\u79d1\u7814\u590d\u73b0\u80fd\u529b\u8d85\u8d8a GPT\u20115.5 \u4e0e Claude Opus 4.8\" 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\">Prestazioni<\/div>\n        <h2>Faraday punta sull\u2019efficienza invece che sulla sola <span>scala del modello<\/span><\/h2>\n        <p>Inherent sostiene che Faraday sia riuscito a ottenere risultati migliori dei concorrenti pi\u00f9 noti in un compito preciso: riprodurre in autonomia i risultati di pubblicazioni scientifiche senza conoscere in anticipo la risposta.<\/p><p>La parte pi\u00f9 significativa \u00e8 che il sistema non nasce attorno a un modello gigantesco proprietario. Inherent ha scelto un approccio pi\u00f9 snello, basato su Qwen 3.6 da 27 miliardi di parametri, e ha concentrato il lavoro soprattutto sull\u2019architettura dell\u2019agente e sull\u2019addestramento.<\/p>\n        \n        \n        \n        \n        \n      <\/section>\n    \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Strategia<\/div>\n        <h2>L\u2019obiettivo di Inherent \u00e8 dare all\u2019agente un vero <span>senso della ricerca<\/span><\/h2>\n        <p>L\u2019azienda non misura il successo di Faraday soltanto in termini di accuratezza finale. Il punto centrale \u00e8 il cosiddetto \u201cgusto della ricerca\u201d, ci\u00f2\u00e8 la capacit\u00e0 di capire quali esperimenti siano utili, quali ipotesi meritino attenzione e come strutturare un percorso di lavoro sensato. \u00c8 un aspetto difficile da quantificare, ma cruciale se si vuole andare oltre la semplice esecuzione di istruzioni.<\/p><p>Per arrivarci, Inherent fa grande affidamento sul reinforcement learning, un metodo che non impone regole rigide passo per passo ma premia i comportamenti che portano a risultati migliori. L\u2019idea \u00e8 che questo approccio possa generalizzare meglio su obiettivi di lungo periodo e su ambiti scientifici diversi.<\/p>\n        \n        \n        \n        \n        \n      <\/section>\n    \n\n      <section class=\"fbp5-section\">\n        <div class=\"fbp5-section-label\">Azienda<\/div>\n        <h2>Inherent accelera dopo il seed e prepara una crescita <span>rapida del team<\/span><\/h2>\n        <p>Fondata da ex membri di Google DeepMind, Inherent ha sede a Londra e si \u00e8 mostrata pubblicamente solo da poche settimane, dopo un round seed da <strong>50 milioni di dollari<\/strong>, pari a circa 43 milioni di euro. Pur essendo rimasta finora meno visibile rispetto ad altre startup nate dallo stesso ecosistema, l\u2019azienda sta iniziando a mettere sul tavolo risultati concreti e una direzione tecnica piuttosto definita.<\/p><p>Il team conta oggi circa 12 persone e dovrebbe salire entro fine anno a circa 20-25 dipendenti. La societ\u00e0 lavora anche su world model e sembra voler approfittare della forte concentrazione di talenti AI nell\u2019area di King\u2019s Cross, a Londra.<\/p>\n        \n        \n        \n        \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\/apple-ai-server-interno-m5-rack-2u-mac\" target=\"_blank\" rel=\"noopener\">\n      <img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/08\/apple-ai-server-490f2917-791a-469d-8289-00cb-h6dlzh1npd.jpg\" alt=\"Apple AI server, spuntano le prime immagini interne con design 2U e chip M5\" loading=\"lazy\">\n      <div class=\"fbp5-related-body\">\n        <span>ai<\/span>\n        <strong>Apple AI server, 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href=\"https:\/\/www.ithome.com\/0\/993\/133.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>Faraday \u00e8 il nuovo agente AI di Inherent per la ricerca scientifica e, in un test specifico, ha fatto meglio di GPT-5. 5 e Claude Opus 4. 8.<\/p>\n","protected":false},"author":10,"featured_media":43277,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_yoast_wpseo_focuskw_text_input":"Inherent Faraday","footnotes":""},"categories":[480],"tags":[933],"class_list":["post-43278","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-ai"],"blocksy_meta":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Inherent presenta Faraday: l\u2019agente AI scientifico supera GPT-5.5 in un test mirato<\/title>\n<meta name=\"description\" content=\"La startup londinese Inherent lancia Faraday, un agente AI per la ricerca scientifica che supera GPT-5. 5 e Claude Opus 4. 8 in un benchmark specifico.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.chinasmartbuy.com\/blog\/inherent-faraday-agente-ai-scientifico\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta 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