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Generalizing AI With Neural Task Programming | Two Minute Papers #206



Two Minute Papers

The paper “Neural Task Programming:
Learning to Generalize Across Hierarchical Tasks” is available here:
https://stanfordvl.github.io/ntp/

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16 thoughts on “Generalizing AI With Neural Task Programming | Two Minute Papers #206
  1. I think you should make the images more closely follow with what you are explaining at that moment. It sometimes feels like there are two separate streams of information because the video shows a different concept to the voice-over explanation.

  2. Why are the robot movements so slow?
    To my understanding, if the physical motor movement engineering is solved then actions' duration would be near immediate? I'd think that in a sim, without slowing down, it would take practically no time from begin to end state?

    I know time is not currently the main goal of the research.

  3. Tbh I feel the pursuit of general AI is exceptionally risky. Fair enough, some research obsessed humans are happy to be displaced in terms of capability completely by AI, but most people wont be. I think there needs to be serious research into ethics, or even investigations into encoding empathy or morality.

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