The Trump administration is reportedly developing a strategy to bypass Anthropic‘s supply chain risk designation, potentially allowing the onboarding of its powerful AI model, Mythos.
The White House is working on a draft executive action that could provide a way to mitigate the ongoing dispute with Anthropic, Axios reported on Tuesday.
Earlier this month, White House Chief of Staff Susie Wiles and Treasury Secretary Scott Bessent held a meeting with Anthropic CEO Dario Amodei. The meeting was described as a “productive introductory meeting” on potential collaborations between the government and the company, as per the publication.
This week, the White House is meeting companies across sectors to discuss possible executive action and best practices for deploying Mythos. The talks also include potential guidance that could overturn the Office of Management and Budget’s directive against using Anthropic in government operations.
Mythos is a restricted AI model developed by Anthropic for sensitive government and defense use, introduced earlier this month.
White House and Anthropic did not immediately respond to Benzinga‘s requests for comment.
Pentagon AI Stance Shows Signs Of Shift
This report comes on the heels of Pentagon AI Chief confirming Alphabet‘s (NASDAQ:GOOG) (NASDAQ:GOOGL) Google Gemini AI model’s growing role in classified defense work, amid the need to diversify vendor reliance.
While some key Pentagon officials remain firm on their stance, others believe the dispute has been unproductive and are looking for a resolution, as per Axios. The situation could potentially lead to renewed contentious negotiations.
Earlier this month, the National Security Agency (NSA) was reported to be using Anthropic’s restricted AI model, Mythos, for cyber defense despite the Pentagon’s ban on the company. Even President Donald Trump signaled a possible thaw in relations with Anthropic, praising the company as “very smart” after a White House meeting with its CEO.
Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors.
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