The confrontational approach through Hegseth and Sacks gave way to a diplomatic one after Sacks left his role in March, the New York Times noted, with White House Chief of Staff Susie Wiles and Treasury Secretary Scott Bessent stepping in.
Last month, Wiles and Bessent held a meeting with Amodei that both sides described as "productive,” with a White House statement later stating that the meeting had “discussed opportunities for collaboration, as well as shared approaches and protocols to address the challenges associated with scaling this technology."
According to the New York Times’s reporting, any potential oversight would involve the NSA, the White House Office of the National Cyber Director, and the Director of National Intelligence.
The model under consideration resembles the UK's approach, where the AI Security Institute evaluates frontier models against safety benchmarks before deployment. Per security publication CSO Online , both the UK’s AISI and the EU’s AI Act have moved further than the U.S. on pre-deployment evaluation, and the U.S. currently has no legal authority to require such reviews.
There’s also the question of the Center for AI Standards and Innovation (CAISI), a Biden-era body created to evaluate AI models voluntarily shared with the government. The New York Times has reported that the center has been sidelined under Trump, despite the administration's own AI policy paper stating it should play a role in assessing AI system performance.
Congress appears to be moving in parallel with the administration, with the FY2026 National Defense Authorization Act requiring the Pentagon to establish a cross-functional team for AI model assessment and oversight, with a full “DoD-wide assessment framework” due at some point in the future. That team must develop testing procedures, security requirements, and compliance standards for AI models procured by the military.
The obvious question in light of all this is whether Mythos was the catalyst for these new White House policy discussions. The New York Times certainly seems to believe so in its reporting, though no sources are quoted as confirming that.
Mythos, which Anthropic revealed last month in what felt like a marketing campaign, is what Anthropic has framed as a potential cyber-superweapon, capable of finding thousands of critical software vulnerabilities in seconds, and, as such, poses “unprecedented cybersecurity risks.” For these reasons, Anthropic has declined to release it publicly, but the NSA has already used Mythos to assess vulnerabilities in government software, according to the newspaper.
This reluctance to release Mythos as a model too dangerous for the general public may have given the administration both a justification and a political incentive to act. The White House wants to avoid fallout if an AI-enabled cyberattack occurs, and is also evaluating whether frontier models could yield offensive cyber-capabilities useful to the Pentagon and intelligence agencies.
Independent assessments have questioned the veracity of Anthropic's claims , and Research from AISLE Security found that open-source models could detect many of the same flagship vulnerabilities. The UK's AISI also evaluated Mythos and concluded it was the most capable model for cybersecurity tasks, but didn’t dramatically outperform others across all evaluations.
Luke James is a freelance writer and journalist.\u00a0 Although his background is in legal, he has a personal interest in all things tech, especially hardware and microelectronics, and anything regulatory.\u00a0 ","collapsible":{"enabled":true,"maxHeight":250,"readMoreText":"Read more","readLessText":"Read less"}}), "https://slice.vanilla.futurecdn.net/13-4-23/js/authorBio.js"); } else { console.error('%c FTE ','background: #9306F9; color: #ffffff','no lazy slice hydration function available'); } Luke James Social Links Navigation Contributor Luke James is a freelance writer and journalist. Although his background is in legal, he has a personal interest in all things tech, especially hardware and microelectronics, and anything regulatory.
Key considerations
- Investor positioning can change fast
- Volatility remains possible near catalysts
- Macro rates and liquidity can dominate flows
Reference reading
- https://www.tomshardware.com/tech-industry/artificial-intelligence/SPONSORED_LINK_URL
- https://www.tomshardware.com/tech-industry/artificial-intelligence/white-house-considers-mandatory-government-vetting-of-ai-models-before-release#main
- https://www.tomshardware.com
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Informational only. No financial advice. Do your own research.