What is the difference between #Bitcoin and large-scale models in terms of human perception and induction? Large-scale models rely on a small group of people summarizing specific data to train the model. #Bitcoin, on the other hand, involves all equal stakeholders summarizing in real-time over time (the price fluctuations caused by whether or not one holds the currency). The implication of large-scale models for #intelligence is that human language is an emergent intelligence, a fuzzy neural network. The implication of #BTC for #intelligence is that value/consensus is a kind of human perception intelligence that can emerge from beliefs within an organizational framework.