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In the pursuit of excellence!

The aim is to discover interesting ideas and perspectives.
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#todo write custom metal kernels in MLX

Target bottlenecks: Fused RMSNorm + ROPE + SWIGLU, quantΓ­zed matmul, or attention variants.

https://ml-explore.github.io/mlx/build/html/dev/custom_metal_kernels.html
ML people don't know Freivalds
If you're going to vibe-code with an LLM, pick problems where the LLM's blindness to edge cases is catchable by automation.
The Principle

Novelty = (importance of problerm) (gap from current best) x (verifiability)
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