THE FIRST FIX: A #MINIMUM VIABLE #CONSCIOUS #LOOP (MVCL) This is the simplest irreducible unit that others only talk about. The loop has 5 parts — no mysticism: State The system has an internal representation of “how it is right now” Memory It retains past states with decay (not perfect recall) Self-Model It predicts how its own state will change if it acts Error #Awareness It detects mismatch between expected vs actual outcomes Correction It updates behavior because of that mismatch If any part

Reinforcement Learning was one of the most hyped areas in AI. At one point, it was supposed to revolutionize the world. Now it's almost an after-thought to Supervised and Unsupervised Learning. So what went wrong? Reinforcement learning (RL) is a type of machine learning that enables an agent to learn how to behave in an environment by trial and error. The agent is rewarded for taking actions that lead to desired outcomes, and penalized for taking actions that lead to undesired outcomes. Over ti