Phil Mohun

@philmohun

Tsundokist. This feed is part soapbox, part informative.

Los Angeles, CA
Vrijeme pridruživanja: studeni 2016.

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  1. Prikvačeni tweet
    11. lip 2018.

    Q: why do Neural Nets not mind the cold weather? A: because they can just add more layers

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  2. prije 23 sata

    “I believe it’s important to build a company that is distributed; not burdened by time zones, but advantaged by them.” on Twitter and Cc:

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  3. proslijedio/la je Tweet
    4. velj

    I’ve been thinking about momentum, and how we undervalue it as a society. It’s helpful to focus on your own momentum, but the real magic happens when we discover ways of making large groups work together in ways that compound progress.

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  4. 4. velj

    We cannot predict who will be the individual that makes the next discovery, but we can design systems that make the overall group move at a much faster pace.

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  5. 4. velj

    I’ve been thinking about momentum, and how we undervalue it as a society. It’s helpful to focus on your own momentum, but the real magic happens when we discover ways of making large groups work together in ways that compound progress.

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  6. 4. velj

    There’s a quote that sums up my thoughts on this: If you want to go fast, go alone; but if you want to go far, go together.

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  7. 4. velj

    When a wave crashes on the shore, we do not give individual droplets credit for their ferocity. We recognize that they are carried along by forces greater than themselves, and if one droplet is to touch the land first, then it is because this is the way that things are.

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  8. 4. velj

    Newton’s discovery was mired in controversy thanks to the work of a competing mathematician, Gottfried Wilhelm Leibniz. Leibniz and Newton are now considered to have arrived at the theory of independently.

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  9. 4. velj

    At the same time of Darwin’s research, a competing scientist named Alfred Russel Wallace was independently compiling research for a similar manuscript. Wallace and Darwin published theories of simultaneously, although Darwin’s name is the one we remember.

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  10. 4. velj

    is a combination of inventions that have been in development for decades: cryptography, consensus algorithms, and linked lists all existed as well-researched components. Satoshi was a gifted engineer, but his ability to combine existing principles was the true invention.

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  11. 4. velj

    It’s easier to attribute these successes to a single person, rather than a group of people working toward a common purpose. We prefer to think of individuals as inventors because it appeals to our sense of ego.

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  12. 4. velj

    Consider: , developed by a mysterious figure named Satoshi Nakamoto , discovered by Darwin on the remote islands of Galapagos , invented by Newton and applied to the physics of our world

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  13. 4. velj

    It seems like certain inventions were inevitable. History has a tendency to attribute breakthroughs to a single individual, but it's possible that the conditions were exactly right for that specific idea, and the inventor was the just the product of circumstance.

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  14. proslijedio/la je Tweet
    2. velj

    Tobey's pick is in!!! He is 7-0 lifetime and looks to make it 8-0 tonight.

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  15. proslijedio/la je Tweet
    2. velj

    note to self: it's possible to have a single isolated thought or experience without trying to generalise it into a grand theory, or extract from it some universal truth

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  16. proslijedio/la je Tweet
    28. sij
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  17. proslijedio/la je Tweet
    22. sij

    Patients and scientists: THIS IS NOT A DRILL. The White House is considering requiring open access to all taxpayer-funded research. Please sign to let The White House know that you strongly support this transformational initiative:

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  18. 28. sij

    Momentum is one of the most underrated factors in getting things done. One of the problems with work today is that we never let ourselves get into a hot streak. Corporations are not designed for teams to gain momentum; they're designed to prevent momentum from going to zero.

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  19. proslijedio/la je Tweet
    20. sij

    Given the smoothness of videos, can we learn models more efficiently than with ? We present Sideways - a step towards a high-throughput, approximate backprop that considers the one-way direction of time and pipelines forward and backward passes.

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  20. 27. sij
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  21. 25. sij

    Really impressed by support. Had an issue that required multiple teams to get involved. Got a response within 3 hours that listed my options available, and they followed up again on a Saturday morning.

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