Un-Artificial Intelligence
summary
Claims that human and machine learning line up: supervised, unsupervised and reinforcement map to human delivered, conversational and assessing activities, and the presenter enumerates 16 learning activities. Offers a concrete field experiment training two cats with an iPhone alarm that produces a conditioned response persisting three to four years. Argues machines lack combined contextual emotional social continual faculties and predicts generalized AI that learns like humans within the century, raising practical implications for building web learning systems.
AI-written summary · about
chapters (9)
- 0:00Start
- 2:57INTELLIGENT AGENTS
- 6:51LEARNING ALGORITHMS
- 7:18UN SUPERVISED LEARNING
- 7:28REINFORCEMENT LEARNING
- 8:47Conversational & Collaborative
- 9:06Pairing
- 9:49WHAT MAKES US DIFFERENT FROM MACHINES?
- 10:03Constantly learning








