{"id":3660,"date":"2026-06-12T18:46:11","date_gmt":"2026-06-12T16:46:11","guid":{"rendered":"https:\/\/zumim.com.html?p=3660"},"modified":"2026-06-12T18:58:08","modified_gmt":"2026-06-12T16:58:08","slug":"ecrire-avec-ia-plate","status":"publish","type":"post","link":"https:\/\/zumim.com\/fr\/ecrire-avec-ia-plate.html","title":{"rendered":"Les mod\u00e8les d’OpenAI et Anthropic progressent, mais l’\u00e9criture semble plus plate"},"content":{"rendered":"

Les mod\u00e8les d’OpenAI et d’Anthropic s’am\u00e9liorent sur le plan technique, mais l’\u00e9criture semble plus plate qu’avant. C’est un paradoxe que de nombreux utilisateurs commencent \u00e0 ressentir sans toujours pouvoir le formuler clairement. Les benchmarks progressent, les capacit\u00e9s de raisonnement s’affinent, et pourtant, quelque chose semble s’\u00eatre effac\u00e9 dans la texture m\u00eame des textes g\u00e9n\u00e9r\u00e9s. Cet article explore ce ph\u00e9nom\u00e8ne, ses causes probables, et ses implications pour quiconque utilise ces outils au quotidien.<\/p>\n

Un paradoxe bien r\u00e9el : plus performants, mais moins percutants<\/h2>\n

Il suffit de comparer les sorties de GPT-4 ou Claude 3 avec celles obtenues il y a un an pour percevoir une diff\u00e9rence de ton. Les r\u00e9ponses sont plus longues, mieux structur\u00e9es, plus faciles \u00e0 lire. Mais elles ont perdu quelque chose d’essentiel : une certaine singularit\u00e9, une prise de risque dans l’expression, une voix reconnaissable.<\/p>\n

Cette observation, relay\u00e9e par de nombreux professionnels du num\u00e9rique, a \u00e9t\u00e9 r\u00e9sum\u00e9e avec pr\u00e9cision par l’entrepreneur Nav Toor sur X (anciennement Twitter) : les prompts qui fonctionnaient tr\u00e8s bien il y a six mois produisent aujourd’hui des r\u00e9sultats moins satisfaisants. L’\u00e9criture sonne plus uniforme, les id\u00e9es sont plus s\u00fbres, plus consensuelles. Le mod\u00e8le semble avoir appris \u00e0 ne jamais d\u00e9cevoir, au prix de ne jamais surprendre.<\/p>\n

La qu\u00eate de la neutralit\u00e9 comme pi\u00e8ge stylistique<\/h3>\n

Pour comprendre ce glissement, il faut regarder du c\u00f4t\u00e9 des processus d’entra\u00eenement. Les grands mod\u00e8les de langage comme GPT-4o ou Claude 3.5 Sonnet sont affin\u00e9s apr\u00e8s leur phase de pr\u00e9-entra\u00eenement gr\u00e2ce \u00e0 des techniques comme le RLHF (Reinforcement Learning from Human Feedback). Des \u00e9valuateurs humains notent les r\u00e9ponses, et le mod\u00e8le apprend \u00e0 maximiser ces scores.<\/p>\n

Le probl\u00e8me est que les \u00e9valuateurs humains tendent \u00e0 pr\u00e9f\u00e9rer les r\u00e9ponses lisibles, polies et sans asp\u00e9rit\u00e9s. Une formulation audacieuse peut para\u00eetre incorrecte \u00e0 un \u00e9valuateur peu familier du contexte. Une m\u00e9taphore originale peut sembler floue. R\u00e9sultat : le mod\u00e8le converge vers un style moyen, acceptable par tous, m\u00e9morable pour personne.<\/p>\n

C’est ce que certains chercheurs en IA appellent le \u00ab\u00a0median writing problem\u00a0\u00bb : l’optimisation vers la pr\u00e9f\u00e9rence humaine moyenne produit une prose m\u00e9diocre au sens \u00e9tymologique du terme, c’est-\u00e0-dire une prose du milieu.<\/p>\n

Le web comme miroir d\u00e9formant : la contamination des donn\u00e9es d’entra\u00eenement<\/h2>\n

Un second facteur aggrave ce ph\u00e9nom\u00e8ne. Depuis l’explosion de l’usage des LLM (Large Language Models) en 2023 et 2024, une part croissante du contenu publi\u00e9 sur Internet est elle-m\u00eame g\u00e9n\u00e9r\u00e9e par des mod\u00e8les d’IA. Des articles de blog, des newsletters, des publications LinkedIn, des pages produit : tous r\u00e9dig\u00e9s en partie ou en totalit\u00e9 par des outils comme ChatGPT ou Claude.<\/p>\n

Ce contenu retourne ensuite dans le corpus d’entra\u00eenement des prochaines versions des mod\u00e8les. On entre ainsi dans une boucle de r\u00e9troaction stylistique : le mod\u00e8le apprend \u00e0 imiter un web qui l’imite d\u00e9j\u00e0. Chaque it\u00e9ration homog\u00e9n\u00e9ise un peu plus le r\u00e9sultat. L’\u00e9criture devient circulaire, auto-r\u00e9f\u00e9rentielle, d\u00e9pourvue de la friction cr\u00e9ative que seule l’exp\u00e9rience humaine directe peut g\u00e9n\u00e9rer.<\/p>\n

Quand tout le web commence \u00e0 se ressembler<\/h3>\n

Cette dynamique a des cons\u00e9quences bien au-del\u00e0 des simples outils d’IA. Le lecteur attentif remarque que les articles de blog se ressemblent de plus en plus, que les emails professionnels partagent les m\u00eames tournures, que les newsletters adoptent les m\u00eames structures. Ce n’est pas une co\u00efncidence : c’est la signature invisible de mod\u00e8les entra\u00een\u00e9s sur les m\u00eames donn\u00e9es et utilis\u00e9s \u00e0 grande \u00e9chelle.<\/p>\n

La diversit\u00e9 stylistique du web, qui \u00e9tait sa richesse, s’\u00e9rode progressivement. Et paradoxalement, les mod\u00e8les d’OpenAI et d’Anthropic s’am\u00e9liorent techniquement tout en contribuant \u00e0 cet appauvrissement collectif du langage en ligne.<\/p>\n

Comparaison des principaux mod\u00e8les : performances versus qualit\u00e9 d’\u00e9criture<\/h2>\n\n\n\n\n\n\n\n\n
Mod\u00e8le<\/th>\n\u00c9diteur<\/th>\nPerformance technique (benchmark)<\/th>\nQualit\u00e9 stylistique per\u00e7ue<\/th>\nTendance observ\u00e9e<\/th>\n<\/tr>\n<\/thead>\n
GPT-4o<\/td>\nOpenAI<\/td>\nTr\u00e8s \u00e9lev\u00e9e<\/td>\nCorrecte, mais uniforme<\/td>\nAplatissement du style depuis fin 2024<\/td>\n<\/tr>\n
Claude 3.5 Sonnet<\/td>\nAnthropic<\/td>\nTr\u00e8s \u00e9lev\u00e9e<\/td>\nFluide, mais consensuelle<\/td>\nTendance \u00e0 l’\u00e9vitement des opinions tranch\u00e9es<\/td>\n<\/tr>\n
GPT-4 (version initiale)<\/td>\nOpenAI<\/td>\n\u00c9lev\u00e9e<\/td>\nPlus singuli\u00e8re, parfois rugueuse<\/td>\nR\u00e9f\u00e9rence nostalgique pour de nombreux utilisateurs<\/td>\n<\/tr>\n
Claude 2<\/td>\nAnthropic<\/td>\nMoyenne \u00e0 \u00e9lev\u00e9e<\/td>\nVoix plus marqu\u00e9e<\/td>\nJug\u00e9 plus \u00ab\u00a0humain\u00a0\u00bb par certains r\u00e9dacteurs<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Pourquoi cela compte pour les professionnels du contenu<\/h2>\n

Pour les r\u00e9dacteurs, les marketeurs, les journalistes ou les cr\u00e9ateurs de contenu, cette \u00e9volution n’est pas anodine. Utiliser un LLM pour produire des textes qui se fondent dans la masse est une strat\u00e9gie \u00e0 courte vue. Si tout le monde utilise les m\u00eames outils r\u00e9gl\u00e9s de la m\u00eame fa\u00e7on, la diff\u00e9renciation devient impossible.<\/p>\n

Cela soul\u00e8ve \u00e9galement une question plus profonde sur la valeur ajout\u00e9e humaine dans le processus d’\u00e9criture. Si la machine produit une prose correcte mais fade, c’est \u00e0 l’humain d’apporter la tension narrative, le point de vue tranch\u00e9, l’anecdote personnelle, la m\u00e9taphore inattendue. L’IA devient alors un outil de mise en forme, pas un outil de cr\u00e9ation.<\/p>\n

Des strat\u00e9gies concr\u00e8tes pour contourner l’aplatissement stylistique<\/h3>\n

Face \u00e0 ce constat, plusieurs approches permettent de retrouver de l’originalit\u00e9 dans les productions assist\u00e9es par IA :<\/p>\n

    \n
  • Injecter une voix forte dans le prompt :<\/strong> plut\u00f4t que de demander \u00ab\u00a0r\u00e9dige un article sur X\u00a0\u00bb, il est plus efficace de pr\u00e9ciser le ton, les r\u00e9f\u00e9rences culturelles, les tournures \u00e0 \u00e9viter, voire de fournir des exemples de sa propre \u00e9criture.<\/li>\n
  • Utiliser l’IA comme co-pilote, pas comme pilote automatique :<\/strong> g\u00e9n\u00e9rer une premi\u00e8re \u00e9bauche, puis la retravailler profond\u00e9ment pour y ins\u00e9rer des observations personnelles, des exemples concrets tir\u00e9s de l’exp\u00e9rience r\u00e9elle, et des formulations qui brisent le rythme attendu.<\/li>\n<\/ul>\n

    La responsabilit\u00e9 des \u00e9diteurs de mod\u00e8les<\/h2>\n

    OpenAI et Anthropic ne sont pas insensibles \u00e0 ces critiques. Les deux entreprises ont publiquement reconnu les limites du RLHF en mati\u00e8re de cr\u00e9ativit\u00e9 et de style. Anthropic, en particulier, a investi dans des recherches sur la \u00ab\u00a0Constitutional AI\u00a0\u00bb et d’autres m\u00e9thodes visant \u00e0 r\u00e9duire les biais d’aplatissement stylistique.<\/p>\n

    Mais les contraintes commerciales jouent contre l’audace cr\u00e9ative. Un mod\u00e8le qui produit des r\u00e9ponses tranch\u00e9es, qui d\u00e9fend des positions originales ou qui adopte un style non conventionnel risque davantage de heurter certains utilisateurs. Pour des entreprises qui commercialisent leurs mod\u00e8les \u00e0 des millions d’organisations, la prudence stylistique est une d\u00e9cision rationnelle, m\u00eame si elle est culturellement appauvrissante.<\/p>\n

    Vers une nouvelle g\u00e9n\u00e9ration de mod\u00e8les plus expressifs ?<\/h3>\n

    Certains signaux sont encourageants. Des mod\u00e8les plus r\u00e9cents et plus sp\u00e9cialis\u00e9s, entra\u00een\u00e9s sur des corpus litt\u00e9raires ou journalistiques de haute qualit\u00e9, montrent qu’il est possible de concilier performance technique et richesse stylistique. Des startups comme Mistral AI ou des projets open source explorent des pistes d’entra\u00eenement alternatives qui privil\u00e9gient la diversit\u00e9 linguistique.<\/p>\n

    La question n’est donc pas de savoir si les LLM peuvent \u00e9crire avec style, mais si les grandes entreprises qui les d\u00e9veloppent ont suffisamment d’incitations \u00e9conomiques \u00e0 le faire. Pour l’instant, la r\u00e9ponse reste incertaine.<\/p>\n

    Conclusion : reprendre la main sur la qualit\u00e9 de l’\u00e9criture<\/h2>\n

    Les mod\u00e8les d’OpenAI et d’Anthropic s’am\u00e9liorent sur de nombreux crit\u00e8res mesurables, mais l’\u00e9criture semble plus plate, et ce constat m\u00e9rite d’\u00eatre pris au s\u00e9rieux. La performance technique ne garantit pas la richesse expressive. \u00c0 mesure que ces outils s’int\u00e8grent dans nos flux de travail, il devient crucial de ne pas d\u00e9l\u00e9guer enti\u00e8rement la cr\u00e9ation \u00e0 des syst\u00e8mes optimis\u00e9s pour plaire \u00e0 tous, donc pour ne surprendre personne.<\/p>\n

    La responsabilit\u00e9 revient aux utilisateurs de pr\u00e9server leur singularit\u00e9 stylistique, en utilisant l’IA comme un amplificateur de leur voix plut\u00f4t que comme son substitut. Et elle revient aux \u00e9diteurs de mod\u00e8les de ne pas sacrifier la cr\u00e9ativit\u00e9 sur l’autel de la s\u00e9curit\u00e9 commerciale.<\/p>\n

    Vous ressentez ce ph\u00e9nom\u00e8ne dans votre pratique quotidienne ? Partagez vos exp\u00e9riences dans les commentaires et explorez nos autres ressources sur l’usage professionnel des LLM pour aller plus loin dans votre compr\u00e9hension de ces outils.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

    Les mod\u00e8les d’OpenAI et d’Anthropic s’am\u00e9liorent sur le plan technique, mais l’\u00e9criture semble plus plate qu’avant. C’est un paradoxe que de nombreux utilisateurs commencent \u00e0 ressentir sans toujours pouvoir le formuler clairement. Les benchmarks progressent, les capacit\u00e9s de raisonnement s’affinent, et pourtant, quelque chose semble s’\u00eatre effac\u00e9 dans la texture m\u00eame des textes g\u00e9n\u00e9r\u00e9s. Cet […]<\/p>\n","protected":false},"author":12,"featured_media":3657,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[61],"tags":[],"class_list":["post-3660","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technologies"],"yoast_head":"\nOpenAI et Anthropic : pourquoi l'\u00e9criture devient plate<\/title>\n<meta name=\"description\" content=\"Les mod\u00e8les d'OpenAI et Anthropic s'am\u00e9liorent techniquement, mais leur \u00e9criture semble plus plate. 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