Siam Kidd Bittensor breakdown is the clearest I have found

Siam Kidd has a way of taking technical concepts and making them stick. The miner-validator dynamic in particular, miners produce AI output, validators score it, rewards follow the scores, sounds simple but the implications for how quality gets enforced across the network took me a while to properly absorb.

The subnet economies angle is interesting from a value capture perspective. If a specific subnet becomes the go-to resource for a high-demand AI task, the validators and miners in that subnet capture disproportionate rewards. Finding those subnets before they are crowded is its own research challenge.

Which part of the Bittensor model, miners, validators, or specific subnet selection, is most interesting to you as either an investor or participant?