{"id":15311,"date":"2026-10-23T11:17:46","date_gmt":"2026-10-23T11:17:46","guid":{"rendered":"https:\/\/dailyai.com\/?p=15311"},"modified":"2026-10-24T17:30:03","modified_gmt":"2026-10-24T17:30:03","slug":"hugging-faces-carbon-x-lets-researchers-chat-with-dna","status":"publish","type":"post","link":"https:\/\/dailyai.com\/it\/2026\/10\/hugging-faces-carbon-x-lets-researchers-chat-with-dna\/","title":{"rendered":"Carbon-X di Hugging Face permette ai ricercatori di interagire con il DNA"},"content":{"rendered":"<p class=\"wp-block-paragraph\"><strong>Hugging Face ha rilasciato Carbon-X, un modello open source con 14,8 miliardi di parametri che consente ai ricercatori di incollare il DNA grezzo in una chat e porre domande al riguardo in un linguaggio semplice, ad esempio se una mutazione ha probabilit\u00e0 di causare una malattia.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Il modello, <a href=\"https:\/\/huggingface.co\/HuggingFaceBio\/Carbon-X\" target=\"_blank\" rel=\"noopener\">pubblicato su Hugging Face<\/a> Il software, rilasciato sotto licenza Apache 2.0, \u00e8 stato sviluppato in collaborazione con la Zhongguancun Academy e l&#039;Istituto Telethon di Genetica e Medicina dell&#039;Universit\u00e0 degli Studi di Napoli Federico II. <a href=\"https:\/\/www.wired.com\/story\/hugging-face-new-ai-biology-model-chat-with-dna\/\" target=\"_blank\" rel=\"noopener\">Wired<\/a> Secondo le notizie, \u00e8 stato rilasciato gioved\u00ec 22 ottobre.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Come funziona<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Carbon-X parte dal Qwen3-14B di Alibaba. Il team ha aggiunto token di DNA che leggono sequenze di sei basi alla volta, quindi ha addestrato il modello su 302 miliardi di token di DNA, testo biologico, testo in inglese e dati di istruzione, in modo che DNA e linguaggio condividano un unico flusso di token.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Gli si forniscono un riferimento e una sequenza mutata, e il sistema indica se la variante sembra benigna o patogena, spiegandone il motivo. Pu\u00f2 anche individuare le regioni che controllano l&#039;attivit\u00e0 genica, classificare il tipo di organismo da cui proviene una sequenza e prevedere le basi successive.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">I numeri<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Secondo la scheda del modello, Carbon-X ottiene una media di 66,7% su cinque benchmark del DNA. Si tratta di 27 punti in pi\u00f9 rispetto al modello Qwen3-14B da cui \u00e8 partito, davanti a tutti gli altri modelli open source testati da Hugging Face e vicino ai 67,5% di GPT-6.1 Sol, con un costo di inferenza per problema pari a circa 1\/1800.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Hugging Face stima che la verifica dei 2,4 milioni di \"varianti di significato incerto\" presenti nel database ClinVar costerebbe circa 300 dollari con Carbon-X, contro un costo compreso tra 32.000 dollari e 4 milioni di dollari con i modelli di punta valutati. I pesi sono contenuti in una singola GPU da 80 GB, quindi i laboratori possono conservare le sequenze sensibili sul proprio hardware.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">I limiti<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Hugging Face afferma chiaramente che Carbon-X &quot;non \u00e8 stato validato clinicamente e non dovrebbe essere utilizzato per prendere decisioni mediche&quot;. \u00c8 ancora debole sui siti di splicing (29,8%) e sui marcatori istonici (34,6%), pu\u00f2 contare erroneamente le basi e pu\u00f2 inventare la funzione di una sequenza in assenza di contesto. Non \u00e8 stato addestrato per progettare nuovo DNA.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Lewis Tunstall, ricercatore senior presso Hugging Face, ha dichiarato a Wired che il team ha escluso i virus dai dati di addestramento per evitare potenziali utilizzi pericolosi. Gli sviluppatori non hanno ancora convalidato le previsioni con esperimenti di laboratorio.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Perch\u00e9 \u00e8 importante<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Strumenti specializzati come <a href=\"https:\/\/dailyai.com\/it\/2024\/05\/alphafold-3-deepmind-evolves-its-ai-protein-folding-project\/\">AlphaFold 3<\/a> hanno cambiato parti della biologia, ma non sono progettati per la conversazione. Carbon-X mette l&#039;analisi del DNA dietro una finestra di chat ed \u00e8 abbastanza piccolo da poter essere gestito autonomamente da un laboratorio. Come <a href=\"https:\/\/dailyai.com\/it\/2026\/10\/microsofts-ai-diagnosis-panel-beats-doctors-83-to-36-in-science-study\/\">MAI-DxO di Microsoft<\/a> Questa settimana, tuttavia, si tratta di un risultato di riferimento finch\u00e9 non verr\u00e0 convalidato dalla biologia reale.<\/p>","protected":false},"excerpt":{"rendered":"<p>Il modello aperto Carbon-X di Hugging Face legge il DNA grezzo e fornisce risposte in un linguaggio semplice, eguagliando quasi i modelli di punta sui benchmark del DNA a una frazione del costo.<\/p>","protected":false},"author":16,"featured_media":15437,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[83],"tags":[],"class_list":["post-15311","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-product"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ 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