AI Safety Gym - Computerphile

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Published 2020-01-30

All Comments (21)
  • @RasperHelpdesk
    "A ship in harbor is safe — but that is not what ships are built for."
  • @AcornElectron
    Awesome. I’ve watched literally everything Rob has recorded on AI. He’s very relatable, knowledgeable and informative.
  • @DrumsKylePlays
    Miles is an excellent teacher. Always does a great job fielding questions from a layperson.
  • @LeoStaley
    Rob's video on the 3 laws of robotics is what really demonstrated to me how serious ai safety really is.
  • @hattrickster33
    Looks like they're taking security very seriously. This guy is always kept inside a prison to avoid his rogue AI pets from escaping.
  • @danielm9753
    I used to know this guy. Glad he’s still at it. Easily one of the smartest dudes I’ve met in person
  • @TheStarBlack
    7:58 that artificial camera movement is both trippy and impressive!
  • @ragnkja
    The sponsor intro is too loud. Edit: as is the sponsor segment at the end.
  • @DIECARS1
    never knew notts uni had a prison to film in
  • @joshie228
    I'm a man of simple tastes - I see Rob Miles, I press the like button.
  • @esquilax5563
    I like the fact that young Robert uses the same Simpsons references I remember from 20-odd years ago
  • @abcdemnopq3583
    Fab and super interesting video, also v. much appreciated your [Rob's] EA talk yesterday - will definitely be checking out the AI Safety field in more depth.
  • @locarno24
    Completely agree. Big safety failures - in organisation structure, or real world industry, or whatever - usually occur because of either unknown elements in the environment or unexpected interaction by known elements. Because - at stupidly obvious level - if you could predict it you would (you'd hope) have done something about it. Thanks for the the description on the constraint learning. Keeping constraints and goals kept as modular elements is one of those things that makes obvious sense once someone explains it to me.
  • @Danicker
    Sneaky hitch hikers reference ;) love it!
  • I wonder if you can get complicated multidimensional shapes like optimization problems for reward functions