Tag
The author observes that domestic AI models (Kimi, GLM, DeepSeek) improve with each update, believing that domestic model R&D has entered a virtuous cycle: user growth brings abundant data, mature engineering infrastructure, tight compute power forcing efficiency optimization, and clear pricing advantages.
This article analyzes the implications of Chinese open weights AI models like Kimi K3, arguing that while R&D is free for users, inference costs (COGS) remain significant, challenging the notion of free AI and highlighting a return to marginal costs in the era of zero marginal cost software.
Coinbase CEO Brian Armstrong announced the company is experimenting with using Chinese open-weight AI models like GLM 5.2 and Kimi 2.7 for its LLM gateway, routing prompts by difficulty, suggesting that frontier models may be overkill for execution tasks.
A user reports replacing American AI models with Chinese alternatives across reasoning, code generation, agent loops, bulk processing, and image/video generation, achieving 87% cost reduction with only 4% average quality drop and unchanged revenue.
Booz Allen report warns that Chinese AI models produce lower-quality, more vulnerable code for US users, raising security concerns about the software supply chain.