**Trader consensus heavily favors “No” at 97.7% because leading autoregressive models such as GPT-6 Astra and Claude variants continue to dominate the Chatbot Arena LLM Leaderboard through superior broad-capability scores, while diffusion large language models (dLLMs) like DiffusionGemma, Mercury 2, and LLaDA variants deliver strong parallel inference speeds yet trail on overall quality and reasoning benchmarks as of September 2026.** Recent releases have narrowed gaps in coding and structured tasks via iterative denoising, but no frontier-scale dLLM has displaced transformer-based leaders. With only months remaining before the December 31, 2026 resolution, the absence of a confirmed scaling breakthrough reinforces the market-implied odds. A surprise major-lab dLLM release or rapid benchmark gains could still shift outcomes, though current evidence points to persistent quality-speed trade-offs.
基於Polymarket數據的AI實驗性摘要。這不是交易建議，也不影響該市場的結算方式。 · 更新於是
2% 機率
最新
最新
2026-12-31
是
2% 機率
最新
最新
2026-12-31
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 heavily favors “No” at 97.7% because leading autoregressive models such as GPT-6 Astra and Claude variants continue to dominate the Chatbot Arena LLM Leaderboard through superior broad-capability scores, while diffusion large language models (dLLMs) like DiffusionGemma, Mercury 2, and LLaDA variants deliver strong parallel inference speeds yet trail on overall quality and reasoning benchmarks as of September 2026.**
Recent releases have narrowed gaps in coding and structured tasks via iterative denoising, but no frontier-scale dLLM has displaced transformer-based leaders. With only months remaining before the December 31, 2026 resolution, the absence of a confirmed scaling breakthrough reinforces the market-implied odds. A surprise major-lab dLLM release or rapid benchmark gains could still shift outcomes, though current evidence points to persistent quality-speed trade-offs.
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.
市場開放時間： Nov 14, 2025, 3:05 PM ET
交易量
$3,269結束日期
2027-01-01市場開放時間
Nov 14, 2025, 3:05 PM ETThis 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 heavily favors “No” at 97.7% because leading autoregressive models such as GPT-6 Astra and Claude variants continue to dominate the Chatbot Arena LLM Leaderboard through superior broad-capability scores, while diffusion large language models (dLLMs) like DiffusionGemma, Mercury 2, and LLaDA variants deliver strong parallel inference speeds yet trail on overall quality and reasoning benchmarks as of September 2026.**
Recent releases have narrowed gaps in coding and structured tasks via iterative denoising, but no frontier-scale dLLM has displaced transformer-based leaders. With only months remaining before the December 31, 2026 resolution, the absence of a confirmed scaling breakthrough reinforces the market-implied odds. A surprise major-lab dLLM release or rapid benchmark gains could still shift outcomes, though current evidence points to persistent quality-speed trade-offs.
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.
交易量
$3,269結束日期
2027-01-01市場開放時間
Nov 14, 2025, 3:05 PM ET**Trader consensus heavily favors “No” at 97.7% because leading autoregressive models such as GPT-6 Astra and Claude variants continue to dominate the Chatbot Arena LLM Leaderboard through superior broad-capability scores, while diffusion large language models (dLLMs) like DiffusionGemma, Mercury 2, and LLaDA variants deliver strong parallel inference speeds yet trail on overall quality and reasoning benchmarks as of September 2026.** Recent releases have narrowed gaps in coding and structured tasks via iterative denoising, but no frontier-scale dLLM has displaced transformer-based leaders. With only months remaining before the December 31, 2026 resolution, the absence of a confirmed scaling breakthrough reinforces the market-implied odds. A surprise major-lab dLLM release or rapid benchmark gains could still shift outcomes, though current evidence points to persistent quality-speed trade-offs.
基於Polymarket數據的AI實驗性摘要。這不是交易建議，也不影響該市場的結算方式。 · 更新於
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警惕外部連結哦。
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