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Viewing profile — chimtim

chimtim

HN member
Joined
Thu, Aug 07, 2014, 7:14 PM UTC
HN karma
157
Public activity
61 items

About chimtim

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Recent public activity

  1. comment
    Comment #43832605

    Uber currently doesn’t maintain a large (or any) fleet either. I wonder how much the marginal gains from not paying drivers is shaved off by fleet maintenance of expensive cars.

  2. comment
    Comment #32364832

    I've been working in the SW industry for around two decades now, and I see a distinct difference since the last 5 years, which is that everyone is optimizing all their actions towa…

  3. comment
    Comment #27682726

    Unfortunately, one in 10 times is far from good enough (and this is with good prompt engineering which after using large language models for a while, one starts to do). I feel like…

  4. comment
    Comment #24721388

    caching a computation result is called memoization.

  5. comment
    Comment #18800192

    For anyone not from Scandinavian countries or not used to the low sunlight and mostly cold weather, the downsides from the long-term side-effects of living in Sweden such as depres…

  6. comment
    Comment #18305019

    I am glad I cancelled my subscription early this year and never bought its stocks.

  7. comment
    Comment #17597292

    This may appear to "work" but I doubt it is better than a 300K FPS camera by any means. It will not work perfectly across all scenes, it cannot interpolate uncommon movements and f…

  8. comment
    Comment #16961954

    Have an expectation that the work-life balance is a circle i.e. it is zero

  9. comment
    Comment #16934134

    I went through all of them and I did not see any regret minimization background. If you think there is, please point me to it and clear my misunderstanding.

  10. comment
    Comment #16926190

    is it just me or these are really poorly designed courses? I took the RL course and it first started describing papers in RL with little context (under applications of RL). The cou…

  11. comment
    Comment #16174086

    I actually have worked with lots of customers in deploying ML. This was my perspective. Thanks for sharing your perspective at Google.

  12. comment
    Comment #16170465

    Exactly, most non-IT companies have very limited skills in this area. This is why they outsource. As an analogy, when I want to furnish my office, I look for an interior decorator …

  13. comment
    Comment #16169742

    This does not sound very useful. The entire market and AI consulting is for that last 5% of accuracy. Is there a reason why Google is investing so heavily in this space? Perhaps a …

  14. comment
    Comment #16168755

    Then what is "Auto ML"? It sounds like just another cloud service.

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  17. comment
    Comment #15670962

    So much buzz/hype with multiple articles even though the early results are only on MNIST.

  18. comment
    Comment #15527179

    these are not random, raw youtube video datasets. they are hand curated dataset in specific classes (like using mechanical turk). youtube has really diverse videos with different l…

  19. comment
    Comment #15518845

    this is what makes this dataset poor. other datasets mentioned in the blog are based off youtube which is more realistic. movie based datasets have perfect lighting, center the sub…

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    Comment #15453875

    1) managing an office building is a lot of hassle. 2) startups are always growing or shrinking. no point putting so much significant capital unless it is an established in for a lo…

  22. comment
    Comment #14352858

    All this raw compute/parallelism is great but it does not really help the algorithm output in terms of efficiency. The CPU/GPU difference is much smaller than nvidia would like you…

  23. comment
    Comment #14350264

    Intel needs to double or quadruple their processor's AVX width, add 8 bit instructions and make it slightly more power efficient (for AVX) and it will easily beat many of these TPU…

  24. comment
    Comment #14331110

    re-write it in C++

  25. comment
    Comment #14110516

    The demand is quite low. I think if you want a good low-level code implementation, you can easily find one on github. For example, you can easily find a good compression algorithm …