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This started with Addition Under Pressure, where I gave Claude Code and Codex the same prompt: train the smallest possible transformer that can do 10-digit addition with at least 99% accuracy. Claude Code came back with 6,080 parameters and Codex came back with 1,644. The community has since pushed this dramatically lower.
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Zero primary picks across all 112 deployment responses:。WPS下载最新地址对此有专业解读
SSIM was chosen over CNN-based approaches for a deliberate reason: reproducibility without infrastructure. SSIM is a deterministic mathematical function. No training data, no model weights, no GPU, no framework dependencies. Anyone with fontconfig and node-canvas can reproduce these exact numbers on the same platform.
Lumen5. Other tools such as OpenAI Codex, Tabnine, Canva, Jasper AI,, and