I see a lot of confusion surrounding this. I recommend utilizing AI to help parse through information to better understand stuff like this. You can have it ELI5, or just truncate the information down to 500-words or less. Here's Grok's assessment: x.com/i/grok/share/KZqwLOmXY…

A fun math aside, on the idea of splitting a large zk proving workload between multiple provers. Suppose you have N provers, and you have a proving workload that you split into N parts (so, one part per prover). You require provers to pre-register, but registration is open-access. Suppose you have a constant fault rate (eg. 1/5 of registered provers fail). Provers expect to complete in one round (eg. 3s). If one prover fails, other provers have to come in and re-prove that load. How many rounds does it take for the entire workload to get proven? Answer: log*(N) (yes, that's the iterated-log function) Why: In the first round, you go from N unproven workloads to N/5 unproven workloads In the second round, each remaining workload gets assigned 5 provers, so per-workload failure rate becomes 1 in 5^5. So you go to N / 5 / 5^5 unproven workloads In the third round, each remaining workload gets assigned ~5^5 provers, so failure rate is 1 in 5^(5^5). So you go to N / 5 / 5^5 / 5^(5^5) unproven workloads