When Chips Learn 'Software-Defined': Can DF1000 Be a Turning Point for Open Source AI Ecosystems?

If the compute ceiling of an AI chip is no longer determined by transistor count or process node, but dynamically reconfigured by the software logic running on it, how should the open-source community redefine the traditional notion of "hardware adaptation"? The answer provided by Dongfang Suanxin's DF1000—the world's first software-defined near-memory computing 3D AI chip exhibited at WAIC 2026—might be more worth digging into than its peak compute power of 520 TFLOPS.