I'm not a programmer at all — the AI writes all the code for me. But it still couldn't give me a clear answer to my question: is it possible to iterate through private keys within a given range while instantly filtering out "unreliable" keys, without affecting the speed of the iteration itself? Or does the CUDA architecture require a strictly linear brute-force approach with no filtering, in order to maintain high performance — making any real-time filtering too resource-heavy due to the sheer size of the keyspace? I couldn't even implement this in Python with the help of the AI: writing a basic key iterator is easy, but as soon as I add even the simplest filter, the script stops working properly. Despite many attempts, I couldn’t get anywhere with the AI's help.

For example, if we start scanning a range from 0x10000000000 to 0x1FFFFFFFF, it's obvious that many keys like 0x100000001, 0x10001002, and so on are extremely unlikely to be "golden" keys. So applying a filter to aggressively exclude clearly implausible keys could potentially reduce the effective range by up to 30%.