Stop Using Locality-Preserving Hashes for MinHash. You’re Breaking the Algorithm.
Most people implement MinHash wrong because they blindly follow tutorials that demand ‘locality-preserving hashes.’ This subtle mistake breaks the algorithm. To find similarity at scale, you need pure, chaotic randomness—not smart hashes.