So I'm looking to optimize improving skills during downtime. I'm trying to mix both the psychosurgery procedure, Deep Learning, and simulspace contraction.
When training a skill that is 60+, you may only gain 1 skill point per week. So, to get around that, I want to do time contraction. I'll be using a house rule, where the number of egos you can run also determines how fast you can run infomorphs at.
With that in mind:
*Rent a private server, 50 infomorph slots, self managed, 1 gp
24 hours * 7 = 168 hours per skill point
168 hours per skill point / 50 = 3.36 hours per skill point
So if I wanted 10 more skill points:
10 skill points * 3.36 hours per skill point = 33.6 hours
So its looking pretty good so far. But what about deep learning? Because the number of infomorph slots matter, we need to know how many different infomorphs that need to be running. Can an infomorph use psychosurgery on themself (so we only need 1 infomorph)? Does performing psychosurgery on oneself take additional time? Would an infomorph need to fork itself so one could do psychosurgery on the other? Would both forks need to run at the same time contraction speed? In one instance, needing to run 2 infomorphs at once will split the time contraction, resulting in 2 * 25x infomorphs, which would defeat the point of deep learning (you halve the infomorph speed, thus halving the speed one can learn at so that you can double the speed the same one can learn at).