0046: Paths to AGI #1: Tools

Too-Many-Hammers-SCIf 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:

  • Google
  • Self-driving cars
  • Embodiment (robots)
  • Whole brain emulation
  • Digital assistants
  • Brain-computer interface (augmentation path)

and then went deeper on these:

  • AlphaGo
    • Input -> Output function
      • I 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 learning
    • How might embodiment make a difference here?
  • Many problem-specific narrow AIs that are rewarded by the marketplace

Conclusion: Tools are a dead end with respect to creating AGI. Future episodes will take on robots, digital assistants, etc.

See also:

0047: Paths to AGI #2: Robots