Live data from Hacker News

Viewing profile — yonkshi

yonkshi

HN member
Joined
Fri, Aug 12, 2016, 10:21 PM UTC
HN karma
244
Public activity
65 items

About yonkshi

No profile information was provided.

Recent public activity

  1. comment
  2. comment
    Comment #20271976

    Unfortunately any AI systems will encounter the verification dilemma, the more powerful an AI system becomes, the less verifiable it would be.

  3. comment
    Comment #20271893

    I agree. I think a big part of this problem is that smaller companies usually cannot afford AI research. I would even go as far as to say there are more AI companies than capable A…

  4. comment
    Comment #20271829

    AGI is a gradient, not an arbitrary threshold. We are not capable of recreating human level intelligence yet, but our modern algorithms had become magnitudes better at generalizati…

  5. comment
    Comment #20106029

    My guess is to prevent ad-fraud by website owners. It's a lot harder to detect fraudulent clicks/impressions if all data are routed through website. The cost of potentially blocked…

  6. comment
    Comment #20074983

    Not only dupe, Forbes also has the most click baity title amongst them all. Forbes is like buzzfeed now

  7. comment
    Comment #19806739

    It appears they are using an algorithmic process to perform the heartbeat trading, and they are patentable[0] as long as they are not illegal. Tax loopholes are not illegal but ver…

  8. comment
    Comment #19659580

    This is such a cool concept, I really wish these guys would succeed. Though last time I heard they gave up developing their own rocket (as a second stage to space). Anyone who's in…

  9. comment
    Comment #19636987

    Elaborate? We are discussing event probability, not logical inference, so how can there be fallacy in the first place.

  10. comment
    Comment #19636811

    Occam's razor applies here. Your theory is that she had 1. intended to assassinate Assange, 2. attempted to cover it as a joke and then 3. further covering it up by implying she do…

  11. comment
    Comment #19634624

    My friend Gibbs invented this really efficient way to learn.

  12. comment
    Comment #19634514

    More specifically Markov chain with monte carlo method (MCMC)

  13. comment
    Comment #19503201

    Sure theoretical advances may be evolutionary, but they resulted in exponential reduction of parameter space and sample complexity. These advances outpace Moore's law by a large ma…

  14. comment
    Comment #19198691

    Less than four years ago our state-of-the-art RL system (DQN) could only beat some Atari games. Now we can almost beat best human player in SC. That to me is very impressive.

  15. comment
    Comment #19134049

    Currently visiting China for Chinese New Year, and can't help but to notice the anti-US anti-Apple sentiment that arose recently. Although anecdotal, I think the nationalistic sent…

  16. comment
    Comment #18859302

    ..could you elaborate? Are you saying ML is dangerous because it’s based on mathematics, and math is too clean to handle real world data?

  17. comment
    Comment #18749943

    Sure. I don't have any holistic survey to prove my point, but an example of recent progress in terms of sample efficiency is this paper[0]. Derivatives of this paper have been used…

  18. comment
    Comment #18749882

    The sample efficiency of ML systems are increasing rapidly in the theoretical realm, though the available data are growing magnitudes faster than the progress in ML sample efficien…

  19. comment
    Comment #18749798

    Are you suggesting distributed NN training through user's browsers? This is a very sketchy area along the lines of browser based bitcoin mining. You don't want to run any computati…

  20. comment
    Comment #18749770

    There is currently no NN learning algorithm that can handle massively paralleled training. We can use some simple fixes such as mean gradient but they have severe limitations, and …

  21. comment
    Comment #18748052

    JS/V8 may beat Python in general operations but definitely not in math specialized libraries. A lot of python packages support OpenBLAS and AVX/FMA by default which gives huge boos…

  22. comment
    Comment #18654190

    I think we will also see proportionally more and more chips coming out of US companies as well. When Google started their own chips (TPUs), they just kickstarted a vertical integra…

  23. comment
    Comment #18533755

    I'd be interested as well, I've written a few private scrapers for *A/OW award search, currently have small scale MS going on, would love to connect with more fellow MS-ers. my ema…

  24. comment
    Comment #18336110

    Correct me if I'm wrong, but I think the significance of this finding is not so much about temperature, rather it's a big piece of the puzzle in understanding superconductivity. Th…

  25. comment
    Comment #18154302

    And Apple's own statement said that the journalist is probably confusion a separate, software based, incident with this incident. https://www.apple.com/newsroom/2018/10/what-busine…