US government actions in 2026 have focused export controls and temporary access restrictions on closed frontier models from labs like Anthropic and OpenAI due to specific cybersecurity vulnerabilities, rather than targeting open-source or open-weight large language models. Policy has instead emphasized voluntary safety reviews for advanced systems, exemptions for open models in regulatory frameworks, and legislation like the Open-Source AI Leadership Act to promote domestic open AI development and counter Chinese competition. Recent executive orders avoid mandatory licensing or bans on open releases. This underpins the 92.5% market-implied odds against a ban. A major incident involving a widely distributed open model could still prompt targeted restrictions or sanctions on foreign weights.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui“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.
Pasar Dibuka: 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...US government actions in 2026 have focused export controls and temporary access restrictions on closed frontier models from labs like Anthropic and OpenAI due to specific cybersecurity vulnerabilities, rather than targeting open-source or open-weight large language models. Policy has instead emphasized voluntary safety reviews for advanced systems, exemptions for open models in regulatory frameworks, and legislation like the Open-Source AI Leadership Act to promote domestic open AI development and counter Chinese competition. Recent executive orders avoid mandatory licensing or bans on open releases. This underpins the 92.5% market-implied odds against a ban. A major incident involving a widely distributed open model could still prompt targeted restrictions or sanctions on foreign weights.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui


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