What truely peaked my interest was his idea of using weights. Maybe I'm going WAY overboard here, but here's my thought:
- I like the idea of all moderations affecting the post. If I start at score:2, get 4 upmods in a row, and 1 downmod, I should still be at 5.
- Pending moderation queues. I don't know how feasable this is, but what about making a moderation 'pending' and put into the m2 queue right away, and let people m2 their hearts out. Moderations go from pending->moderated if the m2 works well, or pending->removed if m2 says its bad (and the moderator still loses the point).
- Neural Net intelligent scoring. Based on M2 (for pending AND after moderating), weigh the moderators mod'ing ability. If they are constantly getting approved moderations, the weight will increase the moderation count (it'd mean scoring going into floats instead of ints, and there'd have to be a weight max, of course). Its the AI way of doing things.
I'd even be willing to code out the neural net neuron for the user. What do you guys think? Any other ideas (besides using K5's system)??