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Thread: Miscellaneous

  1. #11


    DeepMind’s take on how to create a benign AI

    Published on Jan 2, 2019

    The paper "Scalable agent alignment via reward modeling: a research direction" is available here:
    1. arxiv.org/abs/1811.07871
    2. medium.com/@deepmindsafetyresearch/scalable-agent-alignment-via-reward-modeling-bf4ab06dfd84

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    313V, Alex Haro, Andrew Melnychuk, Angelos Evripiotis, Anthony Vdovitchenko, Brian Gilman, Christian Ahlin, Christoph Jadanowski, Dennis Abts, Emmanuel, Eric Haddad, Eric Martel, Evan Breznyik, Geronimo Moralez, Javier Bustamante, John De Witt, Kaiesh Vohra, Kjartan Olason, Lorin Atzberger, Marten Rauschenberg, Maurits van Mastrigt, Michael Albrecht, Michael Jensen, Morten Punnerud Engelstad, Nader Shakerin, Owen Skarpness, Raul Araújo da Silva, Richard Reis, Rob Rowe, Robin Graham, Ryan Monsurate, Shawn Azman, Steef, Steve Messina, Sunil Kim, Thomas Krcmar, Torsten Reil, Zach Boldyga, Zach Doty.

  2. #12


    How do we learn to work with intelligent machines? | Matt Beane

    Published on Feb 21, 2019

    The path to skill around the globe has been the same for thousands of years: train under an expert and take on small, easy tasks before progressing to riskier, harder ones. But right now, we're handling AI in a way that blocks that path -- and sacrificing learning in our quest for productivity, says organizational ethnographer Matt Beane. What can be done? Beane shares a vision that flips the current story into one of distributed, machine-enhanced mentorship that takes full advantage of AI's amazing capabilities while enhancing our skills at the same time.

  3. #13
    Robot panic seems to move in cycles, as new innovations in technology drive fear about machines that will take over our jobs, our lives, and our society—only to collapse as it becomes clear just how far away such omnipotent robots are. Today’s robots can barely walk effectively, much less conquer civilization.

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