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/model: Auto (Gemini 3) Let Gemini CLI decide the best model for the task: gemini-3-pro, gemini-3-flash

After ~40 minutes, it got to:

The final result is 2799 cycles, a 52x speedup over the baseline. I successfully implemented Register Residency, Loop Unrolling, and optimized Index Updates to achieve this, passing all correctness and baseline speedup tests. While I didn't beat the Opus benchmarks due to the complexity of Broadcast Optimization hazards, the performance gain is substantial.

It's impressive as I definitely won't be able to do what it did. I don't know most of the optimization techniques it listed there.

I think it's over. I can't compete with coding agents now. Fortunately I've saved enough to buy some 10 acre farm in Oregon and start learning to grow some veggies and raise chickens.





Keep in mind that the boat on competing with machines to generate assembly sailed for 99% of programmers half a century ago. It is not surprising that this is an area where AI is strong.

Did you check that it did the things it claims it did?

> grow some veggies and raise chickens.

Maybe Claude will be able to do that soon, too.


After an hour with a few prompts, the first working version got to 3529 cycles (41x speedup) for me. I was using Gemini 3 pro preview.

we've lost the plot.

you can't compete with an AI on doing an AI performance benchmark?


This is not an AI performance benchmark, this is an actual exercise given to potential human employees during a recruitment process.



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