Grok 4.5 tests suggest large tasks work better when broken into low-poly chunks
Daniel_Farinax · x · 2026-07-26
The post says that when a task is massive, models tend to start with a low-poly approach: break the work into individual game items, then refine.
It frames this as a practical observation from testing Grok 4.5 procedural optimizations, suggesting that decomposition can materially improve results on large workloads.
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