Trader consensus on Polymarket prices a mere 5% chance for a diffusion large language model (dLLM) to claim the top spot on the LMSYS Chatbot Arena leaderboard before 2027, reflecting the unchallenged dominance of autoregressive transformer architectures as of May 2026. Anthropic's Claude Opus 4.6 leads with an Elo around 1500, followed closely by OpenAI's GPT-5.x and Google's Gemini variants—all mixture-of-experts (MoE) enhanced for superior reasoning and chat performance in blind crowd-sourced battles. dLLMs like Mercury and Fast-dLLM v2 offer bidirectional generation and speed gains but lag in key benchmarks due to scaling hurdles and coherence gaps, with recent papers focusing on efficiency tweaks rather than frontier competition. A surprise scaled dLLM release from a major lab, such as at ICML 2026, could challenge this, though 18 months of AR momentum favors the status quo.
基于Polymarket数据的AI实验性摘要。这不是交易建议，也不影响该市场的结算方式。 · 更新于是
最新
最新
2026-12-31
是
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 on Polymarket prices a mere 5% chance for a diffusion large language model (dLLM) to claim the top spot on the LMSYS Chatbot Arena leaderboard before 2027, reflecting the unchallenged dominance of autoregressive transformer architectures as of May 2026. Anthropic's Claude Opus 4.6 leads with an Elo around 1500, followed closely by OpenAI's GPT-5.x and Google's Gemini variants—all mixture-of-experts (MoE) enhanced for superior reasoning and chat performance in blind crowd-sourced battles. dLLMs like Mercury and Fast-dLLM v2 offer bidirectional generation and speed gains but lag in key benchmarks due to scaling hurdles and coherence gaps, with recent papers focusing on efficiency tweaks rather than frontier competition. A surprise scaled dLLM release from a major lab, such as at ICML 2026, could challenge this, though 18 months of AR momentum favors the status quo.
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.
市场开放时间： Nov 14, 2025, 3:05 PM ET
交易量
$2,562结束日期
2026-12-31市场开放时间
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 prices a mere 5% chance for a diffusion large language model (dLLM) to claim the top spot on the LMSYS Chatbot Arena leaderboard before 2027, reflecting the unchallenged dominance of autoregressive transformer architectures as of May 2026. Anthropic's Claude Opus 4.6 leads with an Elo around 1500, followed closely by OpenAI's GPT-5.x and Google's Gemini variants—all mixture-of-experts (MoE) enhanced for superior reasoning and chat performance in blind crowd-sourced battles. dLLMs like Mercury and Fast-dLLM v2 offer bidirectional generation and speed gains but lag in key benchmarks due to scaling hurdles and coherence gaps, with recent papers focusing on efficiency tweaks rather than frontier competition. A surprise scaled dLLM release from a major lab, such as at ICML 2026, could challenge this, though 18 months of AR momentum favors the status quo.
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
$2,562结束日期
2026-12-31市场开放时间
Nov 14, 2025, 3:05 PM ETResolver
0x65070BE91...Trader consensus on Polymarket prices a mere 5% chance for a diffusion large language model (dLLM) to claim the top spot on the LMSYS Chatbot Arena leaderboard before 2027, reflecting the unchallenged dominance of autoregressive transformer architectures as of May 2026. Anthropic's Claude Opus 4.6 leads with an Elo around 1500, followed closely by OpenAI's GPT-5.x and Google's Gemini variants—all mixture-of-experts (MoE) enhanced for superior reasoning and chat performance in blind crowd-sourced battles. dLLMs like Mercury and Fast-dLLM v2 offer bidirectional generation and speed gains but lag in key benchmarks due to scaling hurdles and coherence gaps, with recent papers focusing on efficiency tweaks rather than frontier competition. A surprise scaled dLLM release from a major lab, such as at ICML 2026, could challenge this, though 18 months of AR momentum favors the status quo.
基于Polymarket数据的AI实验性摘要。这不是交易建议，也不影响该市场的结算方式。 · 更新于
警惕外部链接哦。
警惕外部链接哦。
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