Anthropic vs The Pentagon: Can They Really Do This?
Summary
- The "Distillation" War: Chinese AI labs (DeepSeek, Moonshot, Minimax) are aggressively "distilling" (copying/compressing) top-tier US models (Claude, Gemini) by generating millions of synthetic conversations. This allows China to create lightweight, highly capable models at a fraction of the training cost.
- The Pentagon Pivot: A major geopolitical shift is occurring where the Pentagon is reportedly moving away from Anthropic due to "safety" restrictions that hinder defense capabilities, shifting instead toward Elon Musk’s XAI (Grok) for national security applications.
- China’s Open Source Strategy: China is forced to be "open source" and efficient because they lack top-tier hardware (Nvidia equivalents). However, this necessity is breeding innovation—models like Alibaba’s Qwen 3.5 are now crushing benchmarks and gaining adoption among Western developers due to low cost and lack of censorship.
- The Blowback Risk: US labs (Google, Anthropic) are locking down APIs to prevent data theft. The hosts argue this will backfire, driving US developers toward cheaper, unrestricted Chinese models.
Trade Ideas
"I would imagine that if they did have an Nvidia equivalent in China that was creating top tier GPUs... they would close it down... but because China's behind there's value in being open." China's entire software strategy (distillation, open source) is a symptom of hardware weakness. They *must* be efficient because they cannot access Nvidia's cutting-edge compute. This confirms Nvidia's moat is still the absolute bottleneck for global AI progress; if China had the chips, the software landscape would look completely different. LONG. The "distillation" trend validates that compute (Nvidia) is the scarce resource China is desperately trying to optimize around. Further export controls or a breakthrough in Chinese domestic chip manufacturing.
Ejaaz Ahamadeen
Co-Host, Limitless Podcast (Bankless)
"Alibaba with Qwen 3.5... absolutely crushed benchmarks. Once again, open source... amazing with agents." While the market focuses on US AI supremacy, Alibaba is successfully executing a "scorched earth" strategy with high-performance, open-source models. As US labs lock down APIs and charge premiums, developers are migrating to efficient Chinese alternatives like Qwen, driving usage and ecosystem value to Alibaba. LONG. Alibaba is technically leading the "efficiency/open" race in AI, serving as a hedge against expensive US closed-source models. Geopolitical sanctions or US bans on Chinese model usage.
Ejaaz Ahamadeen
Co-Host, Limitless Podcast (Bankless)
"Google started locking down their thing... to OpenClaw this week... This is not going to be good for net net for users... software engineers... are just going to go to these Chinese models." In an attempt to stop IP theft (distillation), Google is degrading the user experience for legitimate US developers. This defensive posture risks bleeding market share to "good enough" and cheaper competitors (like Minimax or Qwen), reducing the stickiness of the Gemini ecosystem. WATCH. Monitor if API restrictions lead to a measurable drop in developer adoption or sentiment. Google successfully blocks theft without alienating core developers.
