Trader consensus on Polymarket assigns an 89.5% implied probability to "No" for a diffusion large language model (dLLM) topping the Chatbot Arena leaderboard before 2027, driven by the persistent dominance of autoregressive (AR) giants like Anthropic's Claude Opus 4.6 and Google's Gemini 3.1 Pro, which hold top spots as of mid-April 2026. Recent advances, such as UC Berkeley's I-DLM (April 14), match AR quality at 8B parameters with 4x throughput via introspective consistency but fall short of leaderboard supremacy, while NUS's DMax excels in math/code speed without overall Arena breakthroughs. Scaling challenges and compute-intensive training keep dLLMs experimental, with upcoming AR releases from OpenAI and xAI likely reinforcing the status quo through year-end.
Polymarket verilerine atıfta bulunan deneysel AI tarafından oluşturulmuş özet. Bu bir işlem tavsiyesi değildir ve bu piyasanın nasıl çözümlendiğinde hiçbir rolü yoktur. · GüncellendiYENİ
YENİ
31 Ara 2026
YENİ
YENİ
31 Ara 2026
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.Trader consensus on Polymarket assigns an 89.5% implied probability to "No" for a diffusion large language model (dLLM) topping the Chatbot Arena leaderboard before 2027, driven by the persistent dominance of autoregressive (AR) giants like Anthropic's Claude Opus 4.6 and Google's Gemini 3.1 Pro, which hold top spots as of mid-April 2026. Recent advances, such as UC Berkeley's I-DLM (April 14), match AR quality at 8B parameters with 4x throughput via introspective consistency but fall short of leaderboard supremacy, while NUS's DMax excels in math/code speed without overall Arena breakthroughs. Scaling challenges and compute-intensive training keep dLLMs experimental, with upcoming AR releases from OpenAI and xAI likely reinforcing the status quo through year-end.
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.
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.
Piyasa Açıldı: Nov 14, 2025, 3:05 PM ET
Hacim
$2,156Bitiş Tarihi
31 Ara 2026Piyasa Açıldı
Nov 14, 2025, 3:05 PM ETResolver
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.Trader consensus on Polymarket assigns an 89.5% implied probability to "No" for a diffusion large language model (dLLM) topping the Chatbot Arena leaderboard before 2027, driven by the persistent dominance of autoregressive (AR) giants like Anthropic's Claude Opus 4.6 and Google's Gemini 3.1 Pro, which hold top spots as of mid-April 2026. Recent advances, such as UC Berkeley's I-DLM (April 14), match AR quality at 8B parameters with 4x throughput via introspective consistency but fall short of leaderboard supremacy, while NUS's DMax excels in math/code speed without overall Arena breakthroughs. Scaling challenges and compute-intensive training keep dLLMs experimental, with upcoming AR releases from OpenAI and xAI likely reinforcing the status quo through year-end.
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.
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.
Hacim
$2,156Bitiş Tarihi
31 Ara 2026Piyasa Açıldı
Nov 14, 2025, 3:05 PM ETResolver
0x65070BE91...Trader consensus on Polymarket assigns an 89.5% implied probability to "No" for a diffusion large language model (dLLM) topping the Chatbot Arena leaderboard before 2027, driven by the persistent dominance of autoregressive (AR) giants like Anthropic's Claude Opus 4.6 and Google's Gemini 3.1 Pro, which hold top spots as of mid-April 2026. Recent advances, such as UC Berkeley's I-DLM (April 14), match AR quality at 8B parameters with 4x throughput via introspective consistency but fall short of leaderboard supremacy, while NUS's DMax excels in math/code speed without overall Arena breakthroughs. Scaling challenges and compute-intensive training keep dLLMs experimental, with upcoming AR releases from OpenAI and xAI likely reinforcing the status quo through year-end.
Polymarket verilerine atıfta bulunan deneysel AI tarafından oluşturulmuş özet. Bu bir işlem tavsiyesi değildir ve bu piyasanın nasıl çözümlendiğinde hiçbir rolü yoktur. · Güncellendi
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