The second premise is very dependent on the algorithm and the hardware itself. “Faster” can be very different when parallelization comes into play. Baring that, ASIC’s also a thing. Also, Moore’s law has not been very relevant since around 2020? The new Moore’s law is power efficiency and not transistor density. Say for example, we’ve peaked at 5GHz on a single core performance with x86 ISA. Then the next step is how to reduce the power consumption for the same 5GHz.
Now, the readme mentioned about using Argon2id. A cpu-memory-hard function. So you are also limited by the theoretical maximum memory that you could allocate to crack the puzzle faster.
If I understand it right,
Please correct me if I’m wrong.
You don’t even need a faster computer, you can just use more computers
The second premise is very dependent on the algorithm and the hardware itself. “Faster” can be very different when parallelization comes into play. Baring that, ASIC’s also a thing. Also, Moore’s law has not been very relevant since around 2020? The new Moore’s law is power efficiency and not transistor density. Say for example, we’ve peaked at 5GHz on a single core performance with x86 ISA. Then the next step is how to reduce the power consumption for the same 5GHz.
Now, the readme mentioned about using Argon2id. A cpu-memory-hard function. So you are also limited by the theoretical maximum memory that you could allocate to crack the puzzle faster.