Market icon
Tech·AI

Un dLLM sera-t-il le meilleur modèle d'IA avant 2027 ?

Market icon
Tech·AI

Un dLLM sera-t-il le meilleur modèle d'IA avant 2027 ?

Oui

10% chance
Polymarket
NEW

Oui

10% chance
Polymarket
NEW
This market will resolve to "Yes" if, at any point before December 31, 2026, 11:59 PM ET, an AI model which is a Diffusion Large Language Model (dLLM) has the highest score based off the Chatbot Arena LLM Leaderboard (https://lmarena.ai/). Otherwise, this market will resolve to "No". A Diffusion Large Language Model (dLLM) is any model for which official publicly released documentation, such as a model card, technical paper, or official statements from its developers, clearly identifies diffusion or iterative denoising as a central part of its text-generation or decoding process. Results from the "Score" section on the Leaderboard tab of https://lmarena.ai/leaderboard/text set to default (style control on) will be used to resolve this market. If two or models are tied for the top arena score at any point, this market will resolve to “Yes” if any of the joint-top ranked models are Diffusion Large Language Models. The resolution source for this market is the Chatbot Arena LLM Leaderboard found at https://lmarena.ai/. If this resolution source is unavailable on December 31, 2026, 11:59 PM ET, this market will resolve based on all published Chatbot Arena LLM Leaderboard rankings prior to the period of lack of availability.

This market will resolve to "Yes" if, at any point before December 31, 2026, 11:59 PM ET, an AI model which is a Diffusion Large Language Model (dLLM) has the highest score based off the Chatbot Arena LLM Leaderboard (https://lmarena.ai/). Otherwise, this market will resolve to "No".

A Diffusion Large Language Model (dLLM) is any model for which official publicly released documentation, such as a model card, technical paper, or official statements from its developers, clearly identifies diffusion or iterative denoising as a central part of its text-generation or decoding process.

Results from the "Score" section on the Leaderboard tab of https://lmarena.ai/leaderboard/text set to default (style control on) will be used to resolve this market.

If two or models are tied for the top arena score at any point, this market will resolve to “Yes” if any of the joint-top ranked models are Diffusion Large Language Models.

The resolution source for this market is the Chatbot Arena LLM Leaderboard found at https://lmarena.ai/. If this resolution source is unavailable on December 31, 2026, 11:59 PM ET, this market will resolve based on all published Chatbot Arena LLM Leaderboard rankings prior to the period of lack of availability.
Volume
$0
Date de fin
Dec 31, 2026
Marché ouvert
Nov 14, 2025, 3:05 PM ET

Resolver

0x65070BE91...
This market will resolve to "Yes" if, at any point before December 31, 2026, 11:59 PM ET, an AI model which is a Diffusion Large Language Model (dLLM) has the highest score based off the Chatbot Arena LLM Leaderboard (https://lmarena.ai/). Otherwise, this market will resolve to "No". A Diffusion Large Language Model (dLLM) is any model for which official publicly released documentation, such as a model card, technical paper, or official statements from its developers, clearly identifies diffusion or iterative denoising as a central part of its text-generation or decoding process. Results from the "Score" section on the Leaderboard tab of https://lmarena.ai/leaderboard/text set to default (style control on) will be used to resolve this market. If two or models are tied for the top arena score at any point, this market will resolve to “Yes” if any of the joint-top ranked models are Diffusion Large Language Models. The resolution source for this market is the Chatbot Arena LLM Leaderboard found at https://lmarena.ai/. If this resolution source is unavailable on December 31, 2026, 11:59 PM ET, this market will resolve based on all published Chatbot Arena LLM Leaderboard rankings prior to the period of lack of availability.
This market will resolve to "Yes" if, at any point before December 31, 2026, 11:59 PM ET, an AI model which is a Diffusion Large Language Model (dLLM) has the highest score based off the Chatbot Arena LLM Leaderboard (https://lmarena.ai/). Otherwise, this market will resolve to "No". A Diffusion Large Language Model (dLLM) is any model for which official publicly released documentation, such as a model card, technical paper, or official statements from its developers, clearly identifies diffusion or iterative denoising as a central part of its text-generation or decoding process. Results from the "Score" section on the Leaderboard tab of https://lmarena.ai/leaderboard/text set to default (style control on) will be used to resolve this market. If two or models are tied for the top arena score at any point, this market will resolve to “Yes” if any of the joint-top ranked models are Diffusion Large Language Models. The resolution source for this market is the Chatbot Arena LLM Leaderboard found at https://lmarena.ai/. If this resolution source is unavailable on December 31, 2026, 11:59 PM ET, this market will resolve based on all published Chatbot Arena LLM Leaderboard rankings prior to the period of lack of availability.

This market will resolve to "Yes" if, at any point before December 31, 2026, 11:59 PM ET, an AI model which is a Diffusion Large Language Model (dLLM) has the highest score based off the Chatbot Arena LLM Leaderboard (https://lmarena.ai/). Otherwise, this market will resolve to "No".

A Diffusion Large Language Model (dLLM) is any model for which official publicly released documentation, such as a model card, technical paper, or official statements from its developers, clearly identifies diffusion or iterative denoising as a central part of its text-generation or decoding process.

Results from the "Score" section on the Leaderboard tab of https://lmarena.ai/leaderboard/text set to default (style control on) will be used to resolve this market.

If two or models are tied for the top arena score at any point, this market will resolve to “Yes” if any of the joint-top ranked models are Diffusion Large Language Models.

The resolution source for this market is the Chatbot Arena LLM Leaderboard found at https://lmarena.ai/. If this resolution source is unavailable on December 31, 2026, 11:59 PM ET, this market will resolve based on all published Chatbot Arena LLM Leaderboard rankings prior to the period of lack of availability.
Volume
$0
Date de fin
Dec 31, 2026
Marché ouvert
Nov 14, 2025, 3:05 PM ET

Resolver

0x65070BE91...
This market will resolve to "Yes" if, at any point before December 31, 2026, 11:59 PM ET, an AI model which is a Diffusion Large Language Model (dLLM) has the highest score based off the Chatbot Arena LLM Leaderboard (https://lmarena.ai/). Otherwise, this market will resolve to "No". A Diffusion Large Language Model (dLLM) is any model for which official publicly released documentation, such as a model card, technical paper, or official statements from its developers, clearly identifies diffusion or iterative denoising as a central part of its text-generation or decoding process. Results from the "Score" section on the Leaderboard tab of https://lmarena.ai/leaderboard/text set to default (style control on) will be used to resolve this market. If two or models are tied for the top arena score at any point, this market will resolve to “Yes” if any of the joint-top ranked models are Diffusion Large Language Models. The resolution source for this market is the Chatbot Arena LLM Leaderboard found at https://lmarena.ai/. If this resolution source is unavailable on December 31, 2026, 11:59 PM ET, this market will resolve based on all published Chatbot Arena LLM Leaderboard rankings prior to the period of lack of availability.

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Questions fréquentes

« Un dLLM sera-t-il le meilleur modèle d'IA avant 2027 ? » est un marché de prédiction sur Polymarket avec 2 résultats possibles où les traders achètent et vendent des parts selon ce qu'ils pensent qu'il se passera. Le résultat en tête actuel est « Un dLLM sera-t-il le principal modèle d’IA avant 2027 ? » à 10%. Les prix reflètent des probabilités en temps réel de la communauté. Par exemple, une part cotée à 10¢ implique que le marché attribue collectivement une probabilité de 10% à ce résultat. Ces cotes changent en permanence. Les parts du résultat correct sont échangeables contre $1 chacune lors de la résolution du marché.

« Un dLLM sera-t-il le meilleur modèle d'IA avant 2027 ? » est un marché nouvellement créé sur Polymarket, lancé le Nov 14, 2025. En tant que marché récent, c'est votre opportunité d'être parmi les premiers traders à définir les cotes et établir les premiers signaux de prix du marché. Vous pouvez également ajouter cette page à vos favoris pour suivre le volume et l'activité de trading au fil du temps.

Pour trader sur « Un dLLM sera-t-il le meilleur modèle d'IA avant 2027 ? », parcourez les 2 résultats disponibles sur cette page. Chaque résultat affiche un prix actuel représentant la probabilité implicite du marché. Pour prendre position, sélectionnez le résultat que vous estimez le plus probable, choisissez « Oui » pour trader en sa faveur ou « Non » pour trader contre, entrez votre montant et cliquez sur « Trader ». Si votre résultat choisi est correct lors de la résolution, vos parts « Oui » rapportent $1 chacune. S'il est incorrect, elles rapportent $0. Vous pouvez également vendre vos parts avant la résolution.

Le favori actuel pour « Un dLLM sera-t-il le meilleur modèle d'IA avant 2027 ? » est « Un dLLM sera-t-il le principal modèle d’IA avant 2027 ? » à 10%, ce qui signifie que le marché attribue une probabilité de 10% à ce résultat. Ces cotes sont mises à jour en temps réel à mesure que les traders achètent et vendent des parts. Revenez fréquemment ou ajoutez cette page à vos favoris.

Les règles de résolution de « Un dLLM sera-t-il le meilleur modèle d'IA avant 2027 ? » définissent exactement ce qui doit se produire pour que chaque résultat soit déclaré gagnant, y compris les sources de données officielles utilisées pour déterminer le résultat. Vous pouvez consulter les critères de résolution complets dans la section « Règles » sur cette page au-dessus des commentaires. Nous recommandons de lire attentivement les règles avant de trader, car elles précisent les conditions exactes, les cas particuliers et les sources.