Ethereum developer Vitalik Buterin has expressed his preference for a 'vectorized math precompile' over the traditional SIMD (Single Instruction, Multiple Data) approach. Buterin argues that the SIMD concept is often misunderstood as being tied to existing CPU instructions, which he considers an overfit. Instead, he envisions a solution akin to 'numpy for EVM,' enabling efficient mathematical operations over large datasets. This approach would incorporate features like butterfly-permutation, similar to numpy's reshape function, to enhance Ethereum's computational capabilities.