If we speculate about how we might get to AGI from what we see from narrow AI today, do we learn anything? On this show we mentioned the following:
GoogleSelf-driving carsEmbodiment (robots)Whole brain emulationDigital assistantsBrain-computer interface (augmentation path)and then went deeper on these:
AlphaGoInput -> Output functionI believe Deep Mind calls this Deep Learning. This is neural networks adjusting the strength of various connections, similar to the way human brains adjust neural pathways over time.Reinforcement learningHow might embodiment make a difference here?Many problem-specific narrow AIs that are rewarded by the marketplaceConclusion: Tools are a dead end with respect to creating AGI. Future episodes will take on robots, digital assistants, etc.
0050: Paths to AGI #3: Personal Assistants0047: Paths to AGI #2: Robotshttp://traffic.libsyn.com/friendlyai/ConcerningAI-episode-0046-2017-07-08.mp3