Recent research claims to achieve integer multiplication in less than n log n time by heavily utilizing time-space tradeoffs and massive lookup tables. Readers note that this speedup aligns with Blum's speedup theorem, demonstrating that computational time bounds can be lowered by sacrificing memory space to precompute operations. The resulting implementation reportedly relies on hundreds of millions of lines of code dedicated to applying these specific optimization tricks.