Chinese AI lab Moonshot AI released its latest model, Kimi K3, drawing worldwide attention for capabilities that rival frontier models from OpenAI and Anthropic. The release quickly became embroiled in controversy when White House director Michael Kratsios accused Moonshot of illegally distilling Anthropic's Fable 5 model to build its own system.
White House Alleges Moonshot AI Distilled Anthropic's Model
The accusation has sparked debate within the Trump administration over how to respond to Chinese AI advancements. According to WIRED reporting, the Commerce Department, led by Howard Lutnick, has downplayed the threat, while others have pushed for executive action. However, US executive orders carry no enforceable weight in China.
The Commerce Department's primary tool thus far has been export controls, particularly on compute resources. Some argue that if Chinese labs are stealing proprietary information directly, the failure lies elsewhere — though an executive order would do little to stop it regardless.
Kimi K3 is notable as an open-weight system, meaning anyone can use and modify it freely. This stands in contrast to the proprietary models from US companies like OpenAI and Anthropic. The open-weight approach allows users to access powerful AI capabilities at no cost, posing what some describe as an existential threat to companies charging premium prices for similar tools.
China's embrace of open-weight models may stem from limited access to compute due to export controls, with open-source releases helping build reputation and extend influence. The United States has largely moved away from open-weight AI. Meta abandoned its earlier open-weight Llama strategy in favor of a multi-billion-dollar superintelligence lab that has yet to produce significant results.
Dean Ball, a former White House AI adviser now serving as an executive at OpenAI, suggested that China's open approach reflects a fundamentally different attitude toward artificial general intelligence (AGI). He described China as being aligned with the views of AI scientist Yann LeCun, who has argued that AGI hype is overblown. WIRED senior AI reporter Will Knight confirmed this assessment after a recent trip to China, noting that AGI is not a priority there.
US Army Burns Through AI Tokens as Costs Mount
The US Department of Defense recently celebrated that nearly half of its 3.5 million employees were using AI at work. Roughly a month later, the Army's Combat Capabilities Development Command (DEVCOM) informed personnel that they had exhausted their AI token supply and needed to scale back usage.
The Army uses Ask Sage, a multimodel generative AI platform that supports various large language models including Gemini, Llama, and ChatGPT. Employees were initially allocated at least 200,000 tokens per month, with automatic increases available. Those not using their allotment received regular emails encouraging greater AI adoption.
According to one Army employee, the service burned through an entire year's worth of tokens for a single service in a very short period. The platform was used primarily for administrative tasks such as reclassifying personnel descriptions and aligning job duties.
The scale of consumption extends beyond administrative work. During the 38-day Operation Epic Fury campaign in Iran, DOD reportedly consumed 20 billion tokens per day, according to Breaking Defense. For context, a simple question-and-answer exchange with a chatbot consumes approximately 10 tokens.
Private sector companies including Meta and Uber are also rethinking their AI usage as costs mount. The situation raises broader questions about whether AI will become a commoditized product or remain differentiated by provider.
