Comment by Aurornis

This AI-written project is running its own LiveCodeBench on a completely different methodology. The AI-written notes even admit it:

> ATLAS scores are from 599 LCB tasks using the full V3 pipeline (best-of-3 + Lens selection + iterative repair) on a frozen 14B quantized model or "pass@k-v(k=3)". Competitor scores are single-shot pass@1 (zero-shot, temperature 0) from Artificial Analysis on 315 LCB problems -- not the same task set, so this is not a controlled head-to-head.

Instead of following the LiveCodeBench methodology, it's a harness that spins up a sandbox and spends a long time testing and refining the solution. If you did the same for Sonnet, GPT5.4, or other models they would also get significantly higher scores and they'd do it faster.

The AI-coded README is also full of signs of vibecoded slop like the discoveries that some of the complex structures implemented were not actually being used or contributing anything to the output.