Wojciech Zaremba

@woj_zaremba

OpenAI co-founder and head of robotics

San Francisco, CA
Vrijeme pridruživanja: ožujak 2018.

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  1. 30. sij
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  2. 15. sij

    Capitalism sets prices by running backpropagation over the economy. Setting prices by a government is like injecting stop gradient to the economy graph.

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  3. 26. pro 2019.

    I wish for humanity to flourish in the upcoming decade. We should heal the planet, take care of the weakest, and prevent disinformation from happening. Merry Xmas and Happy New Year!

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  4. 26. pro 2019.

    If we are in a simulation, then it's worth not wasting compute and have a not boring life. Make sure that you are worth being computed.🤔😜

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  5. 18. pro 2019.

    A hypothesis: Brain models world to reproduce. First, they learn to adjust image contrast, then object tracking, 3d vision understanding, and reasoning. Finally, they grasp the concept of self. The discovery of self is the same as the emergence of consciousness.

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  6. 14. pro 2019.

    Relaxing with short physics lectures on Albert Einstein's Theory of Relativity.

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  7. 13. pro 2019.

    It's pretty crazy that the new Dota bot trained from scratch wins 98% time with the previous best bot. We use the same distributed RL training system for our robot to solve Rubik's cube, and our multiagent system to learn to hide&seek.

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  8. 13. pro 2019.

    "An 'I' is a strange loop where the brain's symbolic and physical levels feed back into each other and flip causality upside down so that symbols seem to have gained the paradoxical ability to push particles around, rather than the reverse." 2/2

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  9. 13. pro 2019.

    "Deep down, your brain is a chaotic seething soup of particles. On a higher level it is a jungle of neurons, and on a yet higher level it is a network of abstractions that we call 'symbols.' The most central and complex symbol is the one you call 'I.' " 1/2

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  10. 12. pro 2019.

    “Be yourself everyone else is already taken.”

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  11. 10. pro 2019.

    The total work in an unconstraint system sums to zero. However, work can be positive when boundary constraints are considered (such as a boundary of an engine or a cell). Life and machines produce work but so far only life can produce new constraints (based on its own image).

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  12. 8. pro 2019.

    Just overheard on plane conversations on AGI timelines. That makes me feel that I am on the right plane. Looking forward to NeuraIPS.

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  13. 4. pro 2019.

    At OpenAI, we're excited by work in learned optimizers such as Learning To Learn By Gradient Descent By Gradient Descent. These methods will improve the efficiency of our models, and allow for higher quality science. Looking for a founding team member!

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  14. 3. pro 2019.

    We are releasing several procedurally generated games. RL agents tend to have way lower performance variance in such environments.

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  15. 3. pro 2019.

    “We are persuaded to spend money that we don’t have on the things that we don’t need to make impressions that won’t last on people on whom we don’t care about.” It would be great to transition from consumers to citizens.

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  16. 2. pro 2019.

    Highly recommend the book “Doughnut Economics”. It describes many ways to pivot our economy. The goals are: - decrease wealth inequality - revert ecological crisis - ensure broad access to education, health care, food, and housing

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  17. 1. pro 2019.

    Godel's theory uses self-reference to prove the existence of unprovable truths. Turing's theory uses self-reference to show that a computer can't encompass self. Same way, the anthropic principle limits the perceived structure of the universe because the universe perceives self.

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  18. 28. stu 2019.

    I made an incorrect statement. Here is the clarification “13% of global population is undernourished. Providing the additional calories needed by them would require just 3% of the current global food supply”

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  19. 28. stu 2019.

    3% of the total world food is enough to supply the calorie needs of all humans. How can it be that we have still people starving to death?

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  20. 28. stu 2019.

    "universality and undecidability are closely related: roughly speaking, if a universal computer could see into the future well enough to solve its own halting problem, it could be programmed to contradict itself, halting only if it foresaw that it would fail to halt."

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