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Hyperscalers can achieve 1.5x training throughput gains on AMD GPUs by moving beyond direct CUDA porting to hardware-model co-design and agentic optimization workflows.
Trustworthy medical agents could evolve autonomously through interactive learning, rather than relying solely on parameter scaling.