Sycophancy? Or speeding up dynamic determinant recalculation from O(n³) to O(n)?

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Summary

This article discusses an attempt to use AI tools to accelerate a matrix determinant computation from cubic time to linear time. It compares classical numerical methods such as LAPACK, NumPy, SymPy, and mpmath with an AI-generated implementation idea. The write-up walks through a GitVerse project structure, benchmark scripts, and the reasoning behind the chosen algorithmic approach. It also reflects on the limits of AI for mathematical optimization and software correctness. The piece is primarily technical and exploratory rather than a company announcement.

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Google LLC
$100M to $250M
GitVerse
$100M to $250M