Enhanced oxygen evolution activity in NiFe layered double hydroxides via Ce doping and oxygen vacancy engineering

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5. As a final step, I copied the repository in /tmp, removed the “.git” repository files completely, started a new Claude Code (and Codex) session and claimed that the implementation was likely stolen or too strongly inspired from somebody else's work. The task was to check with all the major Z80 implementations if there was evidence of theft. The agents (both Codex and Claude Code), after extensive search, were not able to find any evidence of copyright issues. The only similar parts were about well established emulation patterns and things that are Z80 specific and can’t be made differently, the implementation looked distinct from all the other implementations in a significant way.

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Plan for iterative improvement rather than expecting immediate perfection. AIO is still an emerging practice without definitive best practices etched in stone. You'll make mistakes, try things that don't work, and occasionally optimize for factors that turn out not to matter. This experimentation is part of the learning process. What matters is systematic iteration—trying approaches, measuring results, adjusting based on feedback, and gradually improving your effectiveness over time.

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Built on axiom — a lightweight tensor library with automatic Metal GPU acceleration. No ONNX runtime, no Python runtime, no heavyweight dependencies. Just C++ and one tensor library that outruns PyTorch MPS.