{"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\/de\/2026\/10\/hugging-faces-carbon-x-lets-researchers-chat-with-dna\/","title":{"rendered":"Hugging Faces Carbon-X erm\u00f6glicht Forschern die Kommunikation mit der DNA"},"content":{"rendered":"<p class=\"wp-block-paragraph\"><strong>Hugging Face hat Carbon-X ver\u00f6ffentlicht, ein offenes Modell mit 14,8 Milliarden Parametern, mit dem Forscher Roh-DNA in einen Chat einf\u00fcgen und in einfacher Sprache Fragen dazu stellen k\u00f6nnen, beispielsweise ob eine Mutation wahrscheinlich eine Krankheit verursacht.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Das Modell, <a href=\"https:\/\/huggingface.co\/HuggingFaceBio\/Carbon-X\" target=\"_blank\" rel=\"noopener\">ver\u00f6ffentlicht auf Hugging Face<\/a> wurde unter einer Apache 2.0-Lizenz in Zusammenarbeit mit der Zhongguancun Academy und dem Telethon Institute of Genetics and Medicine der Universit\u00e4t Neapel Federico II entwickelt. <a href=\"https:\/\/www.wired.com\/story\/hugging-face-new-ai-biology-model-chat-with-dna\/\" target=\"_blank\" rel=\"noopener\">Verkabelt<\/a> Berichten zufolge wurde es am Donnerstag, dem 22. Oktober, ver\u00f6ffentlicht.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Wie es funktioniert<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Carbon-X basiert auf Alibabas Qwen3-14B. Das Team f\u00fcgte DNA-Token hinzu, die Sequenzen jeweils sechs Basenpaare lesen, und trainierte das Modell anschlie\u00dfend mit 302 Milliarden Token aus DNA, Biologietexten, englischen Texten und Anleitungsdaten, sodass DNA und Sprache einen gemeinsamen Token-Stream nutzen.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Man gibt eine Referenzsequenz und eine mutierte Sequenz an, und das Programm sagt aus, ob die Variante harmlos oder pathogen ist und erkl\u00e4rt die Gr\u00fcnde daf\u00fcr. Es kann au\u00dferdem Regionen erkennen, die die Genaktivit\u00e4t steuern, die Organismengruppe bestimmen, aus der eine Sequenz stammt, und die n\u00e4chsten Basen vorhersagen.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Die Zahlen<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Laut Modellkarte erreicht Carbon-X im Durchschnitt 66.7% in f\u00fcnf DNA-Benchmarks. Das sind 27 Punkte mehr als beim Ausgangsmodell Qwen3-14B, mehr als bei allen anderen von Hugging Face getesteten offenen Modellen und nahe an 67.5% von GPT- 1 Sol bei etwa 1 der Inferenzkosten pro Problem.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Hugging Face sch\u00e4tzt, dass die \u00dcberpr\u00fcfung der 2.4 Millionen Varianten unklarer Signifikanz in der ClinVar-Datenbank mit Carbon-X etwa $300 kosten w\u00fcrde, im Vergleich zu $32,000 bis $4m mit den von ihr evaluierten Spitzenmodellen. Die Gewichtungen passen auf eine einzelne 80-GB-GPU, sodass Labore sensible Sequenzen auf ihrer eigenen Hardware speichern k\u00f6nnen.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Die Grenzen<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Hugging Face stellt klar, dass Carbon-X \u201cnicht klinisch validiert ist und nicht f\u00fcr medizinische Entscheidungen herangezogen werden sollte\u201d. Es weist weiterhin Schw\u00e4chen bei Splei\u00dfstellen (29,8%) und Histonmarkierungen (34,6%) auf, kann Basen falsch z\u00e4hlen und unter Umst\u00e4nden die Funktion einer Sequenz erfinden, wenn der Kontext fehlt. Es wurde nicht f\u00fcr die Entwicklung neuer DNA trainiert.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Lewis Tunstall, leitender Wissenschaftler bei Hugging Face, erkl\u00e4rte gegen\u00fcber Wired, dass das Team Viren aus den Trainingsdaten entfernt habe, um potenziell gef\u00e4hrliche Anwendungen zu vermeiden. Die Entwickler haben ihre Vorhersagen au\u00dferdem noch nicht in Laborexperimenten validiert.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Warum es wichtig ist<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Spezialwerkzeuge wie <a href=\"https:\/\/dailyai.com\/de\/2024\/05\/alphafold-3-deepmind-evolves-its-ai-protein-folding-project\/\">AlphaFold 3<\/a> Sie haben zwar Teile der Biologie ver\u00e4ndert, sind aber nicht f\u00fcr die Kommunikation ausgelegt. Carbon-X hingegen erm\u00f6glicht DNA-Analysen in einem Chatfenster und ist so klein, dass es sich in einem Labor selbst betreiben l\u00e4sst. <a href=\"https:\/\/dailyai.com\/de\/2026\/10\/microsofts-ai-diagnosis-panel-beats-doctors-83-to-36-in-science-study\/\">Microsofts MAI-DxO<\/a> Das Ergebnis dieser Woche ist allerdings nur ein Richtwert, bis es sich in der Praxis bew\u00e4hrt hat.<\/p>","protected":false},"excerpt":{"rendered":"<p>Das offene Carbon-X-Modell von Hugging Face liest Roh-DNA und gibt Antworten in einfachem Englisch, wobei es bei DNA-Benchmarks fast mit Spitzenmodellen mithalten kann \u2013 und das zu einem Bruchteil der Kosten.<\/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\/ -->\n<title>Carbon-X: Hugging Face&#039;s Open Model That Reads DNA | DailyAI<\/title>\n<meta name=\"description\" content=\"Hugging Face&#039;s open Carbon-X model reads raw DNA and answers in plain English, nearly matching frontier models on DNA benchmarks at a fraction of the cost.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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