Trader consensus on Polymarket reflects a 94.1% implied probability for xAI not releasing a dense large language model (dLLM)—a non-mixture-of-experts architecture—by June 30, driven by the absence of any official announcements, previews, or capability demonstrations despite the fast-approaching deadline. xAI's recent activation of the Colossus supercomputer, the world's largest GPU cluster with 100,000 Nvidia H100s in late May, marks a major compute milestone but underscores that training a competitive dense LLM from scratch typically spans months, not weeks, aligning with historical timelines for models like Grok-1. No leaks or executive hints from Elon Musk suggest imminent deployment, reinforcing trader conviction. Realistic challenges include a surprise early-access beta or accelerated training breakthroughs, though such shifts remain low-probability given xAI's focus on broader 2024 goals.
基于Polymarket数据的AI实验性摘要 · 更新于是
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Jun 30, 2026
是
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Jun 30, 2026
This market will resolve to "Yes" if, before June 30, 2026, 11:59 PM ET, xAI releases a Diffusion Large Language Model (dLLM). Otherwise, this market will resolve to "No".
Any xAI dLMM will be considered to be released if it is launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice. The release must be clearly defined and publicly announced by xAI as being accessible to the general public.
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.
The primary resolution source for this market will be official information from xAI, with additional verification from a consensus of credible reporting.Trader consensus on Polymarket reflects a 94.1% implied probability for xAI not releasing a dense large language model (dLLM)—a non-mixture-of-experts architecture—by June 30, driven by the absence of any official announcements, previews, or capability demonstrations despite the fast-approaching deadline. xAI's recent activation of the Colossus supercomputer, the world's largest GPU cluster with 100,000 Nvidia H100s in late May, marks a major compute milestone but underscores that training a competitive dense LLM from scratch typically spans months, not weeks, aligning with historical timelines for models like Grok-1. No leaks or executive hints from Elon Musk suggest imminent deployment, reinforcing trader conviction. Realistic challenges include a surprise early-access beta or accelerated training breakthroughs, though such shifts remain low-probability given xAI's focus on broader 2024 goals.
This market will resolve to "Yes" if, before June 30, 2026, 11:59 PM ET, xAI releases a Diffusion Large Language Model (dLLM). Otherwise, this market will resolve to "No".
Any xAI dLMM will be considered to be released if it is launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice. The release must be clearly defined and publicly announced by xAI as being accessible to the general public.
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.
The primary resolution source for this market will be official information from xAI, with additional verification from a consensus of credible reporting.
Any xAI dLMM will be considered to be released if it is launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice. The release must be clearly defined and publicly announced by xAI as being accessible to the general public.
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.
The primary resolution source for this market will be official information from xAI, with additional verification from a consensus of credible reporting.
市场开放时间： Nov 14, 2025, 3:06 PM ET
交易量
$0结束日期
Jun 30, 2026市场开放时间
Nov 14, 2025, 3:06 PM ETResolver
0x65070BE91...This market will resolve to "Yes" if, before June 30, 2026, 11:59 PM ET, xAI releases a Diffusion Large Language Model (dLLM). Otherwise, this market will resolve to "No".
Any xAI dLMM will be considered to be released if it is launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice. The release must be clearly defined and publicly announced by xAI as being accessible to the general public.
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.
The primary resolution source for this market will be official information from xAI, with additional verification from a consensus of credible reporting.Trader consensus on Polymarket reflects a 94.1% implied probability for xAI not releasing a dense large language model (dLLM)—a non-mixture-of-experts architecture—by June 30, driven by the absence of any official announcements, previews, or capability demonstrations despite the fast-approaching deadline. xAI's recent activation of the Colossus supercomputer, the world's largest GPU cluster with 100,000 Nvidia H100s in late May, marks a major compute milestone but underscores that training a competitive dense LLM from scratch typically spans months, not weeks, aligning with historical timelines for models like Grok-1. No leaks or executive hints from Elon Musk suggest imminent deployment, reinforcing trader conviction. Realistic challenges include a surprise early-access beta or accelerated training breakthroughs, though such shifts remain low-probability given xAI's focus on broader 2024 goals.
This market will resolve to "Yes" if, before June 30, 2026, 11:59 PM ET, xAI releases a Diffusion Large Language Model (dLLM). Otherwise, this market will resolve to "No".
Any xAI dLMM will be considered to be released if it is launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice. The release must be clearly defined and publicly announced by xAI as being accessible to the general public.
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.
The primary resolution source for this market will be official information from xAI, with additional verification from a consensus of credible reporting.
Any xAI dLMM will be considered to be released if it is launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice. The release must be clearly defined and publicly announced by xAI as being accessible to the general public.
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.
The primary resolution source for this market will be official information from xAI, with additional verification from a consensus of credible reporting.
交易量
$0结束日期
Jun 30, 2026市场开放时间
Nov 14, 2025, 3:06 PM ETResolver
0x65070BE91...Trader consensus on Polymarket reflects a 94.1% implied probability for xAI not releasing a dense large language model (dLLM)—a non-mixture-of-experts architecture—by June 30, driven by the absence of any official announcements, previews, or capability demonstrations despite the fast-approaching deadline. xAI's recent activation of the Colossus supercomputer, the world's largest GPU cluster with 100,000 Nvidia H100s in late May, marks a major compute milestone but underscores that training a competitive dense LLM from scratch typically spans months, not weeks, aligning with historical timelines for models like Grok-1. No leaks or executive hints from Elon Musk suggest imminent deployment, reinforcing trader conviction. Realistic challenges include a surprise early-access beta or accelerated training breakthroughs, though such shifts remain low-probability given xAI's focus on broader 2024 goals.
基于Polymarket数据的AI实验性摘要 · 更新于
警惕外部链接哦。
警惕外部链接哦。
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