Recent US government actions have focused restrictions on closed-source frontier models from labs like Anthropic and OpenAI for national security reasons, rather than open-source releases. Enforcement challenges make broad bans on publicly distributed model weights impractical, as demonstrated by ongoing availability of major open models. Policy signals, including executive orders promoting private-sector AI innovation, have not targeted open ecosystems. Traders assign 67.5% probability to "No" because no verified open-source bans have materialized in 2026, with upcoming regulatory reviews or congressional debates as potential catalysts that could shift sentiment if enforcement priorities change.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-updateUS 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.
Binuksan ang Market: Jul 13, 2026, 10:13 PM ET
Resolver
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.
Resolver
0x65070BE91...Recent US government actions have focused restrictions on closed-source frontier models from labs like Anthropic and OpenAI for national security reasons, rather than open-source releases. Enforcement challenges make broad bans on publicly distributed model weights impractical, as demonstrated by ongoing availability of major open models. Policy signals, including executive orders promoting private-sector AI innovation, have not targeted open ecosystems. Traders assign 67.5% probability to "No" because no verified open-source bans have materialized in 2026, with upcoming regulatory reviews or congressional debates as potential catalysts that could shift sentiment if enforcement priorities change.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-update
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