Traders see little chance of a US government ban on any open source AI model this year, with the 92.5% implied probability for “No” reflecting the absence of new legislation, executive orders, or agency actions targeting open source large language models. Recent releases from Meta, Mistral, and Hugging Face have proceeded without intervention, while policy focus remains on export controls, voluntary safety frameworks, and closed frontier systems rather than broad prohibitions. Strong consensus stems from historical precedent and lack of credible enforcement mechanisms. Still, a sudden national security finding tied to a specific model’s demonstrated capabilities in areas like biological weapons planning or autonomous cyber attacks could shift odds quickly before year-end.
Експериментальне резюме, згенероване ШІ з посиланням на дані Polymarket. Це не торгова порада і не впливає на вирішення цього ринку. · ОновленоUS government bans an open source AI model in 2026?
“Open source AI model" refers to a general-purpose large language or multimodal foundation model whose weights and source are publicly downloadable and usable on user-controlled hardware (e.g., Llama, Mistral, DeepSeek, Qwen). "Source available" AI models will qualify regardless of any licensing restrictions on acceptable use. Narrow or special-purpose models (e.g., embedding, moderation, or single-modality media generation models) and deprecated, research-only, or preview-only models will not qualify.
To qualify, a ban must target ordinary public access to the model across ordinary public channels within the US. A ban with the intention to remove access from a single channel is not sufficient.
A qualifying ban may target a specific model or a slate of models, so long as at least one open source model is restricted.
A qualifying ban enacted or issued by the resolution date will qualify regardless of if or when it takes effect.
Both temporary bans, including those with a defined end date, and indefinite bans will qualify.
Non-binding or preliminary actions, including non-binding resolutions, recommendations, proposed or pending legislation, investigations, and hearings, will not qualify on their own.
The resolution source for this market is official information and announcements from the United States government and the maintainer or developer of the relevant open source AI model. However, a consensus of credible reporting may also be used.
Ринок відкрито: Jul 13, 2026, 10:13 PM ET
Вирішувач
0x65070BE91...“Open source AI model" refers to a general-purpose large language or multimodal foundation model whose weights and source are publicly downloadable and usable on user-controlled hardware (e.g., Llama, Mistral, DeepSeek, Qwen). "Source available" AI models will qualify regardless of any licensing restrictions on acceptable use. Narrow or special-purpose models (e.g., embedding, moderation, or single-modality media generation models) and deprecated, research-only, or preview-only models will not qualify.
To qualify, a ban must target ordinary public access to the model across ordinary public channels within the US. A ban with the intention to remove access from a single channel is not sufficient.
A qualifying ban may target a specific model or a slate of models, so long as at least one open source model is restricted.
A qualifying ban enacted or issued by the resolution date will qualify regardless of if or when it takes effect.
Both temporary bans, including those with a defined end date, and indefinite bans will qualify.
Non-binding or preliminary actions, including non-binding resolutions, recommendations, proposed or pending legislation, investigations, and hearings, will not qualify on their own.
The resolution source for this market is official information and announcements from the United States government and the maintainer or developer of the relevant open source AI model. However, a consensus of credible reporting may also be used.
Вирішувач
0x65070BE91...Traders see little chance of a US government ban on any open source AI model this year, with the 92.5% implied probability for “No” reflecting the absence of new legislation, executive orders, or agency actions targeting open source large language models. Recent releases from Meta, Mistral, and Hugging Face have proceeded without intervention, while policy focus remains on export controls, voluntary safety frameworks, and closed frontier systems rather than broad prohibitions. Strong consensus stems from historical precedent and lack of credible enforcement mechanisms. Still, a sudden national security finding tied to a specific model’s demonstrated capabilities in areas like biological weapons planning or autonomous cyber attacks could shift odds quickly before year-end.
Експериментальне резюме, згенероване ШІ з посиланням на дані Polymarket. Це не торгова порада і не впливає на вирішення цього ринку. · Оновлено


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