{"id":"compute-and-economic-feedback","title":"Economic feedback for continued learning","regions":["distributed-learning","collective-structure"],"question":"Can returns from a system’s activity fund further computation while keeping learning quality distinct from financial success?","formulation":"Self-financed research and rewards for contributed training resources are proposed as a resource loop. These are open institutional designs, not established business or investment results.","representations":[{"name":"Revenue-to-compute feedback","affords":"Connects useful work with continued operation.","loses":"Revenue can reward behavior unrelated to research quality.","epistemic_kind":"reconstruction"},{"name":"Reward for a training contribution","affords":"Gives distributed contributors an incentive.","loses":"Compute expenditure alone is not proof of useful learning.","epistemic_kind":"reconstruction"}],"tension":"The system needs resources, while the reward mechanism can redefine what it learns to value.","challenge":"What independently inspectable contribution would qualify for a reward?","development":"active","epistemic_kind":"reconstruction","evidence":["basis-compute-and-economic-feedback"],"next_move":{"text":"Use a resource-accounting simulation with no real funds; compare reward for expenditure against reward for held-out improvement.","epistemic_kind":"model_proposed"},"open_questions":["Can returns from a system’s activity fund further computation while keeping learning quality distinct from financial success?","What independently inspectable contribution would qualify for a reward?"],"formal_status":"open_problem","version":1,"content_hash":"f0b68e5bde8009ce104c2c83ce862d80398dacb24ce68c0f5c8516114d269460"}