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The post questions why the US lacks a competitive open-source AI lab despite having ample funding and superior access to high-end GPUs like B200s and B300s compared to Chinese labs.
Discussion on how compute access is becoming the primary driver of AI progress, creating a divide between organizations that can train large models and those limited to fine-tuning existing foundation models.