{"id":15968,"date":"2026-11-06T10:29:15","date_gmt":"2026-11-06T09:29:15","guid":{"rendered":"https:\/\/dailyai.com\/?p=15968"},"modified":"2026-11-06T10:29:16","modified_gmt":"2026-11-06T09:29:16","slug":"anthropic-speeds-up-2x-but-metr-says-evidence-is-hidden","status":"publish","type":"post","link":"https:\/\/dailyai.com\/fr\/2026\/11\/anthropic-speeds-up-2x-but-metr-says-evidence-is-hidden\/","title":{"rendered":"Les acc\u00e9l\u00e9rations anthropiques doublent, mais le METR affirme que des preuves sont dissimul\u00e9es."},"content":{"rendered":"<p class=\"wp-block-paragraph\"><strong>D'apr\u00e8s une \u00e9valuation ind\u00e9pendante, Anthropic am\u00e9liore ses mod\u00e8les d'IA environ deux fois plus vite qu'il y a un an. Le hic\u00a0: l'entreprise a expurg\u00e9 la plupart des \u00e9l\u00e9ments de preuve jug\u00e9s essentiels par les \u00e9valuateurs. Le public doit donc se fier \u00e0 leur parole pour une conclusion qui pourrait modifier la perception des risques li\u00e9s au rythme des progr\u00e8s en IA.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">L'\u00e9valuation provenait de <a href=\"https:\/\/metr.org\/blog\/2026-11-05-anthropic-ai-rd-acceleration-assessment\/\" target=\"_blank\" rel=\"noopener\">\u00c9valuation des mod\u00e8les et recherche sur les menaces (METR)<\/a>, L\u2019\u00e9tude a \u00e9t\u00e9 publi\u00e9e jeudi. METR a pass\u00e9 11 semaines au sein d\u2019Anthropic, de mi-ao\u00fbt \u00e0 fin octobre, et a eu acc\u00e8s aux r\u00e9sultats de tests de r\u00e9f\u00e9rence internes, aux indicateurs de formation, aux entretiens avec le personnel et aux enqu\u00eates. L\u2019\u00e9tude n\u2019a re\u00e7u aucune r\u00e9mun\u00e9ration du laboratoire.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Le nombre<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Sur l'indice de capacit\u00e9 interne d'Anthropic (AECI), les scores des mod\u00e8les ont augment\u00e9 \u00e0 un rythme estim\u00e9 <strong>1,9 fois<\/strong> Le rythme d'avant octobre 2025 est estim\u00e9 \u00e0 un facteur de 1,5 \u00e0 2,8 avec un intervalle de confiance \u00e0 95 %. En d'autres termes, selon METR, Anthropic a r\u00e9alis\u00e9 l'\u00e9quivalent de deux ann\u00e9es de progr\u00e8s historiques au cours de la derni\u00e8re ann\u00e9e. La plupart des membres de l'\u00e9quipe METR travaillant sur le projet pensent d\u00e9sormais que le laboratoire progresse \u201c\u00a0probablement\u00a0\u201d sur des t\u00e2ches bien d\u00e9finies \u00e0 un rythme environ deux fois sup\u00e9rieur \u00e0 celui de la p\u00e9riode mars 2024-octobre 2025, m\u00eame s'ils ne seraient pas surpris si le chiffre r\u00e9el se situait plut\u00f4t autour de 1,3 ou 3.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">METR affirme pouvoir exclure \u201c\u00a0avec certitude\u00a0\u201d une augmentation plus rapide de la puissance de calcul d'entra\u00eenement comme cause de cette situation. Les entretiens et les enqu\u00eates pointent plut\u00f4t vers une utilisation intensive des outils d'IA pour aider les chercheurs \u00e0 \u00e9crire du code, \u00e0 mener des exp\u00e9riences et \u00e0 explorer de nouvelles pistes. Les sondages men\u00e9s aupr\u00e8s du personnel sur Slack concernant l'acc\u00e9l\u00e9ration d\u00e9clar\u00e9e ont atteint un gain d'environ 12 fois pour le dernier mod\u00e8le interne en octobre\u00a0\u2014 une preuve encore fragile, souligne METR, mais coh\u00e9rente avec une am\u00e9lioration significative. L'IA n'apporte pas encore de contributions autonomes et hautement significatives aux \u00e9tapes d'entra\u00eenement les plus complexes, ont indiqu\u00e9 les examinateurs, m\u00eame si des signes encourageants apparaissent.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Ce que vous ne pouvez pas voir<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Anthropic disposait du droit unilat\u00e9ral de supprimer les informations non publiques du rapport. Selon METR, l'entreprise a retir\u00e9 la majeure partie des \u00e9l\u00e9ments de preuve jug\u00e9s les plus pertinents par l'\u00e9quipe pour ses conclusions sur les risques, notamment des estimations d\u00e9taill\u00e9es de l'acc\u00e9l\u00e9ration par \u00e9tape du pipeline, une analyse des points de blocage et des pr\u00e9visions pour les mod\u00e8les futurs. Anthropic a d\u00e9clar\u00e9 que ces suppressions visaient \u00e0 \u00e9liminer les informations confidentielles susceptibles d'avantager les promoteurs concurrents.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">METR est cat\u00e9gorique quant au r\u00e9sultat\u00a0: le public ne peut ni juger les preuves elles-m\u00eames, ni les concilier avec d\u2019autres sources. \u201c\u00a0Ce rapport ne garantit pas la transparence des preuves\u00a0\u2018, indique l\u2019organisme. Les lecteurs doivent donc s\u2019appuyer davantage sur le jugement de METR que ce que le groupe juge appropri\u00e9 pour des questions d\u2019une telle importance. <a href=\"https:\/\/apnews.com\/article\/anthropic-metr-ai-claude-acceleration-9cf8c590ffc1abdb489179bdccc69c23\" target=\"_blank\" rel=\"noopener\">AP News<\/a> On a \u00e9galement constat\u00e9 cette m\u00eame tension : une mise en garde concernant des progr\u00e8s plus rapides, li\u00e9s \u00e0 des \u00e9l\u00e9ments que la plupart des gens ne peuvent pas examiner.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Pourquoi l'affirmation concernant le rythme est contest\u00e9e<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Les \u00e9valuateurs recensent les erreurs possibles dans un sens comme dans l'autre. L'acc\u00e9l\u00e9ration pourrait se limiter aux t\u00e2ches simples et auto-\u00e9valuables, et surestimer l'impact r\u00e9el, souvent complexe. La croissance initiale d'Anthropic en mati\u00e8re d'AECI \u00e9tait plus lente que celle du secteur dans son ensemble, ce qui pourrait fausser la comparaison avec un facteur de \u201c\u00a02\u00a0\u201d. Par ailleurs, des donn\u00e9es internes, dont certaines ont \u00e9t\u00e9 expurg\u00e9es, laissaient entendre que l'acc\u00e9l\u00e9ration pourrait d\u00e9passer le facteur de 2 et continuer \u00e0 progresser. De plus, METR n'a identifi\u00e9 aucun obstacle majeur susceptible de freiner de nouvelles acc\u00e9l\u00e9rations au cours de l'ann\u00e9e \u00e0 venir.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">C\u2019est important car l\u2019am\u00e9lioration continue \u2013 des syst\u00e8mes d\u2019IA qui contribuent r\u00e9ellement \u00e0 la cr\u00e9ation de la prochaine g\u00e9n\u00e9ration, plus rapide \u2013 est le sc\u00e9nario qui inqui\u00e8te les chercheurs en s\u00e9curit\u00e9 et qui pourrait acc\u00e9l\u00e9rer les d\u00e9lais. METR estime qu\u2019une majorit\u00e9 (peut-\u00eatre environ 80 %) des <em>actuel<\/em> Cette acc\u00e9l\u00e9ration est due \u00e0 l'assistance de l'IA, mais l'\u00e9volution des facteurs fin 2025 reste incertaine. Le cofondateur Sam McCandlish a d\u00e9clar\u00e9 qu'Anthropic pr\u00e9voyait de publier une analyse de la vitesse de progression au sein de l'entreprise., <a href=\"https:\/\/www.theverge.com\/ai-artificial-intelligence\/1028046\/an-anthropic-risk-assessment-from-ai-safety-organization-metr-is-out\" target=\"_blank\" rel=\"noopener\">The Verge a rapport\u00e9<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Pourquoi c&#039;est important<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Si les laboratoires de pointe b\u00e9n\u00e9ficient d\u00e9j\u00e0 d'un gain de productivit\u00e9 important gr\u00e2ce \u00e0 leurs propres mod\u00e8les, les organismes de surveillance externes ont besoin de preuves v\u00e9rifiables par le public, et pas seulement de chiffres astronomiques annonc\u00e9s. Un doublement du rythme de progression modifie le temps dont disposent les soci\u00e9t\u00e9s pour tester, r\u00e9glementer et s'adapter. Masquer les mesures sous-jacentes transforme une \u00e9valuation ind\u00e9pendante en une sorte d'avis d'un interm\u00e9diaire de confiance, ce qui est utile, certes, mais diff\u00e9rent d'une v\u00e9rification ouverte. Pour les travailleurs qui constatent d\u00e9j\u00e0 l'impact de l'IA sur leur production quotidienne\u2026 <a href=\"https:\/\/dailyai.com\/fr\/2026\/11\/ai-was-meant-to-save-time-its-users-are-working-longer-days\/\" target=\"_blank\" rel=\"noopener\">y compris des journ\u00e9es plus longues plut\u00f4t que plus courtes<\/a> \u2014 La question n\u2019est plus de savoir si les outils sont utiles. Il s\u2019agit de savoir \u00e0 quelle vitesse cette aide se traduit dans les laboratoires qui les con\u00e7oivent, et qui a acc\u00e8s aux r\u00e9sultats.<\/p>","protected":false},"excerpt":{"rendered":"<p>METR finds Anthropic&#8217;s models improving about twice as fast as before, largely with AI help. Anthropic redacted most of the evidence that backed the claim.<\/p>","protected":false},"author":16,"featured_media":15969,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[87],"tags":[],"class_list":["post-15968","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-opinions"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Anthropic AI Progress Doubles, Evidence Mostly Redacted<\/title>\n<meta name=\"description\" content=\"METR says Anthropic is improving AI ~2x faster, mostly via AI tools \u2014 but Anthropic redacted most of the key evidence.\" \/>\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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