dailyai.report

High participation rates in China's open-source AI scene accelerate model refinement through collective iteration. Nathan Lambert argues that this open-first approach compounds technical gains faster than closed corporate labs. This dynamic creates a feedback loop of optimization. Researchers can now deploy specialized versions of base models with minimal latency for niche industrial tasks.