This works. From my tests with the algorithms, Codex can often speed up the algorithm by 1.5x-2x, then Opus somehow speeds up that optimized code again to a greater degree. This has been the case of all the Rust code I’ve tested: I also ran the icon-to-image and the word cloud crates through this pipeline and gained 6x cumulative speed increases in both libraries.
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So, how does OsmAnd use this structure to calculate your route at lightning speed? It's a multi-step process:
Testing LLM reasoning abilities with SAT is not an original idea; there is a recent research that did a thorough testing with models such as GPT-4o and found that for hard enough problems, every model degrades to random guessing. But I couldn't find any research that used newer models like I used. It would be nice to see a more thorough testing done again with newer models.