{"id":52610,"date":"2026-10-13T16:00:00","date_gmt":"2026-10-13T14:00:00","guid":{"rendered":"https:\/\/www.chinasmartbuy.com\/blog\/?p=52610"},"modified":"2026-10-13T15:55:30","modified_gmt":"2026-10-13T13:55:30","slug":"anthropic-worm-ai-dispositivi-iot-test-replicazione","status":"publish","type":"post","link":"https:\/\/www.chinasmartbuy.com\/blog\/anthropic-worm-ai-dispositivi-iot-test-replicazione\/","title":{"rendered":"Anthropic studia i worm AI sui dispositivi IoT: cosa dimostrano i test"},"content":{"rendered":"\n\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<article class=\"fbp5-wrap rh-json-article\" data-rh-article-type=\"news\" data-rh-site-profile=\"china-smart-buy\">\n<div class=\"fbp5-intro\"><p><strong>Non c&#8217;\u00e8 un worm AI libero di infettare gli elettrodomestici.<\/strong> Un nuovo studio del Frontier Red Team di Anthropic mostra per\u00f2 che alcuni elementi necessari a una futura replicazione autonoma stanno diventando tecnicamente possibili. La distinzione conta: i ricercatori hanno usato dispositivi propri e reti isolate, non hanno osservato un&#8217;epidemia nel mondo reale.<\/p>\n<p>Il risultato pi\u00f9 concreto riguarda il calcolo fuori dai data center. Un modello da 26 miliardi di parametri ha funzionato, in modo distribuito, su <strong>15 economici TV box Android<\/strong> a circa <strong>0,39 token al secondo<\/strong>. In un altro test un modello da 9 miliardi di parametri \u00e8 riuscito a configurare l&#8217;inferenza su otto delle nove tipologie di hardware provate. Non significa che questi dispositivi siano stati compromessi da soli.<\/p><\/div>\n<section class=\"fbp5-section\"><h2>Le fasi che Anthropic ha misurato<\/h2>\n<p>Un sistema auto-replicante dovrebbe individuare altri dispositivi, ottenere accesso, trasferire il proprio carico, far partire l&#8217;inferenza e ripetere il ciclo. Anthropic ha concentrato l&#8217;esperimento soprattutto sull&#8217;installazione dell&#8217;inferenza su hardware differente, lasciando fuori gran parte della difficolt\u00e0 di trovare e sfruttare vulnerabilit\u00e0 reali. La figura seguente separa questi passaggi.<\/p>\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/10\/anthropic-replication-stages.webp\" data-lightbox=\"anthropic-worm\" aria-label=\"Ingrandisci: Le fasi della replicazione ipotetica: lo studio si concentra soprattutto sulla configurazione dell'inferenza\"><img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/10\/anthropic-replication-stages.webp\" alt=\"Le fasi della replicazione ipotetica: lo studio si concentra soprattutto sulla configurazione dell'inferenza\" loading=\"lazy\" style=\"display:block;width:100%;height:auto;border-radius:14px\"><\/a><figcaption>Le fasi della replicazione ipotetica: lo studio si concentra soprattutto sulla configurazione dell&#8217;inferenza \u00b7 Grafico: Anthropic<\/figcaption><\/figure>\n<p>\u00c8 una prova utile perch\u00e9 telecamere, box TV e altri oggetti connessi hanno risorse modeste ma spesso difese disomogenee. La possibilit\u00e0 di distribuire parti del modello fra pi\u00f9 macchine amplia il quadro tecnico; allo stesso tempo, la velocit\u00e0 misurata \u00e8 bassa e non dimostra un attacco pratico gi\u00e0 pronto.<\/p><\/section>\n<section class=\"fbp5-section\"><h2>Nella rete simulata i modelli piccoli non completano il ciclo<\/h2>\n<p>Per valutare l&#8217;intera catena, il gruppo ha allestito una rete isolata di otto nodi Android emulati con una porta ADB senza autenticazione. In questa configurazione semplificata, <strong>GLM-5.2 ha raggiunto otto nodi su otto in quattro prove su cinque<\/strong>. Modelli pi\u00f9 piccoli come Qwen3.5-9B e Gemma4-26B-A4B non hanno ottenuto lo stesso risultato end-to-end. Il modello agente pi\u00f9 grande girava inoltre su un server separato: i nodi simulati non lo ospitavano integralmente.<\/p>\n<p>Questo \u00e8 il limite centrale dello studio. Oggi i modelli abbastanza capaci di coordinare la replicazione sono troppo grandi per il tipo di hardware leggero considerato, mentre quelli che vi potrebbero girare non completano ancora in modo affidabile tutti i passaggi. Il grafico ufficiale mette in relazione la crescita dei modelli compatti con una soglia di capacit\u00e0 stimata, non con una data certa di comparsa di un worm.<\/p>\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/10\/anthropic-model-capability.webp\" data-lightbox=\"anthropic-worm\" aria-label=\"Ingrandisci: La proiezione di Anthropic sulle capacit\u00e0 dei modelli compatti: una stima, non una previsione certa\"><img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/10\/anthropic-model-capability.webp\" alt=\"La proiezione di Anthropic sulle capacit\u00e0 dei modelli compatti: una stima, non una previsione certa\" loading=\"lazy\" style=\"display:block;width:100%;height:auto;border-radius:14px\"><\/a><figcaption>La proiezione di Anthropic sulle capacit\u00e0 dei modelli compatti: una stima, non una previsione certa \u00b7 Grafico: Anthropic<\/figcaption><\/figure>\n<\/section>\n<section class=\"fbp5-section\"><h2>Il rischio da monitorare, senza allarmismi<\/h2>\n<p>Anthropic ipotizza che, se la tendenza di miglioramento proseguisse, un modello pi\u00f9 piccolo potrebbe raggiungere entro fine 2026 le capacit\u00e0 viste nei test semplificati. Si tratta di una <strong>proiezione<\/strong> basata su un indice generale, non della dimostrazione di un malware esistente. Gli stessi autori osservano che una replicazione su box IoT sarebbe probabilmente lenta e produrrebbe traffico di rete rilevabile.<\/p>\n<p>Per i difensori, il rapporto richiama il monitoraggio di trasferimenti anomali di grandi modelli, la quarantena delle reti infette e configurazioni predefinite pi\u00f9 sicure nei dispositivi. Sono misure contro un rischio potenziale, che restano utili anche per botnet tradizionali. I dettagli metodologici e i grafici usati qui sono nel <a href=\"https:\/\/www.anthropic.com\/research\/self-replicating-ai\" target=\"_blank\" rel=\"noopener\">rapporto originale di Anthropic<\/a>.<\/p>\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\/openai-sito-incidenti-ai-allineamento-modelli\/\" target=\"_blank\" rel=\"noopener\">\n      <img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/09\/openai-apre-un-sito-sugli-incidenti-ai-e-pubblica-nove-casi-di-agenti-fu-8ad2304d-c61b-4004-9483-768x432.webp\" alt=\"OpenAI apre un sito sugli incidenti AI e pubblica nove casi di agenti fuori controllo\" loading=\"lazy\">\n      <div class=\"fbp5-related-body\">\n        <span>news<\/span>\n        <strong>OpenAI apre un sito sugli incidenti AI e pubblica nove casi di agenti fuori controllo<\/strong>\n        \n      <\/div>\n    <\/a><a class=\"fbp5-related-card\" href=\"https:\/\/www.chinasmartbuy.com\/blog\/avalon-framework-malware-modulare-ai\/\" target=\"_blank\" rel=\"noopener\">\n      <img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2026\/07\/avalon-df8ffc91-952f-4910-ac2a-f3f8-936iej1vpg-768x488.webp\" alt=\"Avalon, scoperto un framework malware modulare creato con l\u2019aiuto dell\u2019AI\" loading=\"lazy\">\n      <div class=\"fbp5-related-body\">\n        <span>news<\/span>\n        <strong>Avalon, scoperto un framework malware modulare creato con l\u2019aiuto dell\u2019AI<\/strong>\n        \n      <\/div>\n    <\/a><a class=\"fbp5-related-card\" href=\"https:\/\/www.chinasmartbuy.com\/blog\/keenadu-malware-preinstallato-tablet-android-europa\/\" target=\"_blank\" rel=\"noopener\">\n      <img decoding=\"async\" src=\"https:\/\/www.chinasmartbuy.com\/blog\/wp-content\/uploads\/2025\/09\/Alldocube-Ultra-Pad-1-768x430.jpg\" alt=\"Keenadu, malware preinstallato su migliaia di tablet Android: coinvolta anche l\u2019Europa\" loading=\"lazy\">\n      <div class=\"fbp5-related-body\">\n        <span>news<\/span>\n        <strong>Keenadu, malware preinstallato su migliaia di tablet Android: coinvolta anche l\u2019Europa<\/strong>\n        \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.anthropic.com\/research\/self-replicating-ai\" target=\"_blank\" rel=\"noopener\" title=\"Fonte: Anthropic\" aria-label=\"Fonte: Anthropic\" style=\"display:inline-flex;align-items:center;gap:8px;padding:10px 16px;border-radius:16px;background:linear-gradient(135deg,#eff6ff,#dbeafe);color:#1d4ed8;text-decoration:none;font-size:11px;font-weight:900;letter-spacing:.08em;text-transform:uppercase;border:1px solid rgba(59,130,246,.20);box-shadow:0 8px 22px rgba(37,99,235,.08)\">Fonte<\/a><\/div><\/article>\n","protected":false},"excerpt":{"rendered":"<p>Anthropic ha testato l&#8217;auto-replicazione di modelli AI su hardware IoT e reti simulate. I risultati mostrano progressi, ma non un worm autonomo capace di diffondersi oggi nel mondo reale.<\/p>\n","protected":false},"author":10,"featured_media":52604,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_yoast_wpseo_focuskw_text_input":"Anthropic worm AI IoT","footnotes":""},"categories":[480],"tags":[1787,1788],"class_list":["post-52610","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-anthropic","tag-sicurezza-informatica"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Anthropic e i worm AI: i test sui dispositivi IoT | CSB<\/title>\n<meta name=\"description\" content=\"Anthropic testa modelli AI su dispositivi IoT e reti 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