Nvidia, Microsoft Lead 25-Company Coalition Defending Open-Source AI Models in Letter to US Policymakers
Key Takeaways
- •A coalition of 25 technology companies including Nvidia, Microsoft, Meta, IBM, and Hugging Face signed a joint letter on July 24 opposing premature US restrictions on open-weight AI models.
- •The coalition argues that open-weight models are safer than closed ones because broad community scrutiny identifies vulnerabilities faster than proprietary control does.
- •OpenAI was conspicuously absent from the signatories despite Microsoft, its largest investor, being a leading voice in the coalition.
- •Proposed US regulatory measures such as kill switch requirements would be fundamentally incompatible with the permissionless architecture underlying most blockchain and cryptocurrency applications.
- •The letter's outcome could set a precedent for how other jurisdictions, including the EU under its AI Act, regulate openly available model weights.

A coalition of 25 technology companies, led by Nvidia, Microsoft, and Meta, published a joint letter on July 24 urging US policymakers to refrain from imposing premature restrictions on open-weight AI models — models whose trained parameters are publicly released for anyone to download, modify, and deploy. The letter asserts that maintaining open access to AI models is critical for national security, economic competitiveness, and innovation — a stance with notable implications for the decentralized technology infrastructure that supports much of the cryptocurrency industry.
Nvidia CEO Jensen Huang used the letter as the occasion for his inaugural post on X. Microsoft CEO Satya Nadella also expressed support for the initiative.
The Letter's Core Arguments
The coalition's central claim is that open-weight AI models are inherently safer — not more dangerous — than their closed counterparts. According to the letter, transparency allows for broad community scrutiny, which reduces the risk of single points of failure. When thousands of researchers can examine a model's weights and behavior, vulnerabilities are identified more quickly than when a single company maintains exclusive control behind proprietary boundaries.
Huang drew a direct comparison to the open-source software movement of the 1980s. At that time, critics argued that freely distributing code would lead to widespread security problems. Instead, open-source software ultimately became the foundation of the modern internet. Meta's own Llama family of models — among the most widely downloaded open-weight systems globally — serves as a contemporary test case for that argument, with researchers having already published dozens of independent safety evaluations of the models.
The 25 signatories include IBM, Palantir, Hugging Face, and a diverse range of organizations spanning defense contractors to AI research laboratories.
One conspicuous absence from the list was OpenAI — the company whose name includes the word "open" did not sign the letter.
The Regulatory Context
The letter arrives amid intensifying scrutiny from US policymakers regarding foreign open-weight AI models, particularly following the emergence of high-capability systems such as Moonshot AI's Kimi K3 and DeepSeek's increasingly competitive releases. The debate is unfolding alongside existing federal frameworks, including the October 2023 executive order on AI safety that tasked agencies with developing standards for dual-use foundation models, as well as state-level legislative efforts such as California's attempted AI safety bill SB 1047, which was vetoed in 2024 amid concerns it would stifle open-source development. Certain legislative proposals have even suggested mandating "kill switch" mechanisms that would enable authorities to remotely disable AI models deemed a national security threat.
The coalition argues that such measures would undermine American AI development without delivering meaningful risk reduction. Their reasoning holds that if the United States restricts open models while China and other countries continue to release them freely, American researchers and companies would lose their competitive edge.
This position aligns with a broader initiative launched by the Linux Foundation in June 2026, which aimed to protect open-source ecosystems from AI-related threats. The foundation's initiative emphasized that open models can simultaneously be auditable and secure — a framing the joint letter directly echoes.
Implications for the Cryptocurrency Sector
Open-weight AI models are already being incorporated into decentralized applications, ranging from on-chain analytics platforms to autonomous trading agents. Strict US regulatory controls on open-weight models would directly impact the ability of cryptocurrency projects to integrate AI capabilities.
Kill switch requirements, for example, would be fundamentally incompatible with the permissionless architecture that characterizes most blockchain applications. Building a censorship-resistant protocol atop an AI model that a government agency could remotely disable presents an inherent structural contradiction.
Nvidia's backing of open models carries particular weight, as the company effectively controls the GPU supply chain that powers both AI training and cryptocurrency mining operations. Microsoft's participation is also noteworthy: as the largest investor in OpenAI, the company is simultaneously supporting a letter that runs counter to OpenAI's closed-model strategy. The letter's outcome could set a precedent for how other jurisdictions — including the EU, which has already enacted the AI Act with tiered obligations for general-purpose model providers — approach the regulation of openly available model weights.