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chessgecko

HN member
Joined
Sun, Sep 28, 2014, 7:24 AM UTC
HN karma
256
Public activity
91 items

About chessgecko

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Recent public activity

  1. comment
    Comment #45315826

    The real issue is that housing is heavily underweighted in the cpi basket. How many people do you know that are only spending 12.9% of their after tax take home on housing, water a…

  2. comment
    Comment #45296901

    Wouldn’t say never harder, but it’s been pretty flat. https://fred.stlouisfed.org/series/FYFRGDA188S

  3. comment
    Comment #44773711

    My girlfriend loves it. She’s an immigrant from Kazakhstan and apparently the Kazakh community on Threads is very active. Reminds her of home.

  4. comment
    Comment #44655564

    if you bought a nvidia h100 at wholesale prices (around $25k) and ran it 24/7 at commercial electric rates (lets say $0.1 per kwh), then it would take you over 40 years to spend th…

  5. comment
    Comment #44043741

    Actually since the qe to fix 2008 foreign investors/governments cut down on bond buying. Treasury has foreign bond holdings up about 2T since 2014 and current account deficits sum …

  6. comment
    Comment #44043465

    Or maybe a lot of it can't deliver returns in line with the current price. The world realizes that and stops sending us stuff for those investments. Then we're stuck with limited m…

  7. comment
    Comment #44043354

    It is tracked! there are a few different numbers. by the BEA: https://fred.stlouisfed.org/graph/?g=gX0f by the treasury: https://ticdata.treasury.gov/resource-center/data-chart-cen…

  8. comment
    Comment #42390749

    1800 on the h100s is with 2/4 sparsity, it’s half of that without. Not sure if the tpu number is doing that too, but I don’t think 2/4 is used that heavily so I probably would comp…

  9. comment
    Comment #42390688

    I remember reading that it’s too hard to get good memory bandwidth/l2 utilization in the fancy algorithms, you need to read contiguous blocks and be able to use them repeatedly. Bu…

  10. comment
    Comment #42311114

    I guess it's hard to know how well this would compete with integrated gpus, especially at a reasonable pricepoint. If you wanted to spend $4000+ on it, it could be very competitive…

  11. comment
    Comment #42310682

    I think we don't really disagree, I just think that this shape isn't really a gpu its just a cpu because it isn't very good for graphics at that point.

  12. comment
    Comment #42310576

    For ai inference you definitely have other options, but for low end graphics? the lpddr that apple (and nvidia in grace) use would be super expensive to get a comparable bandwidth …

  13. comment
    Comment #42309966

    GDDR isnt like the ram that connects to cpu, it's much more difficult and expensive to add more. You can get up to 48GB with some expensive stacked gddr, but if you wanted to add m…

  14. comment
    Comment #42179769

    One day is doing some heavy heavy lifting here, we’re currently off by ~3-4 orders of magnitude…

  15. comment
    Comment #42173943

    The real reason is that it's basically impossible to produce a cheap new car that is a better deal than a Toyota with 80k miles on it.

  16. comment
    Comment #42054896

    For decode steps it depends on the number of inputs you run at a time. If your batch size is 1 then it runs in line with active params, then as you get to like batch size 8 it runs…

  17. comment
    Comment #41806671

    Not just gpus, the k20 was at 3.9 Tflops (fp32) and the new iPhone is at 4.3 (fp16). If you don’t need the precision it got passed by the phones

  18. comment
    Comment #41806574

    You’d get better perf training on a current gen phone than that gpu, but it probably functions

  19. comment
    Comment #41792475

    Are you one of the authors?

  20. comment
    Comment #41783286

    I feel like that blogpost was almost just ragebait for ai researchers. It goes between calling not including the +1 an error (which to me implies it would improve training losses, …

  21. comment
    Comment #41780581

    My hypothesis for why this works that it mitigates the downsides of rope to eli5: rope is the modern strategy used to give information to the model about how far a query and a key …

  22. comment
    Comment #41780050

    I think they mitigated the extra memory/compute from this by using half the number of overall heads and doubling V and O. Without actually checking the math I think it should be eq…

  23. comment
    Comment #41779975

    I wonder how much of the value here is from canceling out the positional noise rope produces. I would love to see a table comparing an alibi version of this to an alibi baseline in…

  24. comment
    Comment #41373450

    Their numbers are for a single input, I assume the throughput is much higher given the prices they are quoting and the cost of a single cs3.

  25. comment
    Comment #41371980

    On die communication isn’t free, a lot of things here are sequential and within matrix multiplies the cores have to transfer output and mem loads have to be distributed. It’s reall…