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thunderbird120

HN member
Joined
Wed, Aug 01, 2018, 8:44 PM UTC
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1,337
Public activity
180 items

About thunderbird120

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Recent public activity

  1. comment
    Comment #49208025

    Lots of chiplet interconnects hurt your max performance pretty severely and drives up your complexity a lot. There's a reason they want to keep it monolithic. I already harped on C…

  2. comment
    Comment #49207348

    It makes fairly little sense for consumer hardware, unless you're embedding an absolutely tiny model. Since you're embedding the entire model in the chip itself, required chip size…

  3. comment
    Comment #49140920

    This is a near perfect encapsulation of the exact type of person you should not take financial advice from.

  4. comment
    Comment #49087485

    Kimi Delta Attention (KDA), despite having "Attention" in the name, isn't really attention at all in any conventional sense. It's more like an RNN which can be efficiently parallel…

  5. comment
    Comment #48672118

    Medical expenses would be a combination of cost of insurance / treatment (PPP relevant) and government transfers in a country with partially or fully public healthcare, which is wh…

  6. comment
    Comment #48671762

    I see. That paper is looking a median income from a PPP perspective but without accounting for taxes and transfers, which is a tiny bit unorthodox in this exact context which tries…

  7. comment
    Comment #48671476

    >median is higher in Germnay I cannot think of any standard by which this is true, certainly not by nominal or PPP income for either personal or household income. [1] https://en.wi…

  8. comment
    Comment #48287728

    Yes, since the weights being updated are a small subset of the overall total it's manageable. Just like how each separate conversation currently requires you to store a separate KV…

  9. comment
    Comment #48282135

    The idea of periodically stopping to write blocks of recent context into a fast-weight state is interesting, but I think it liked it better when E2E-TTT[1] did it. It's a more flex…

  10. comment
    Comment #48278109

    You can merge it into OpenWhip https://old.reddit.com/r/ClaudeAI/comments/1sek7gk/someone_m...

  11. comment
    Comment #48255032

    >Its turn around time is ridiculous, it has to be maintained with specialized equipment/hangers, along with external contractor assistance. >Compared to the Gripen, as an example, …

  12. comment
    Comment #46997604

    Cerebras has effectively 100% yield on these chips. They have an internal structure made by just repeating the same small modular units over and over again. This means they can jus…

  13. comment
    Comment #46997583

    That's what it's running on. It's optimized for very high throughput using Cerebras' hardware which is uniquely capable of running LLMs at very, very high speeds.

  14. comment
    Comment #46477816

    You prevent enemy air defenses from shooting down your aircraft by blowing them up as part of SEAD/DEAD missions, which is exactly what the US did.

  15. comment
    Comment #46444380

    Takes much longer to build, requires a much larger up-front investment, and requires a lot more land. The footprint needed when trying to generate this much power from solar or win…

  16. comment
    Comment #45158000

    Precision bombing during WW2 was not possible at the required scale. To put a bomb precisely on target back then you needed something like a dive bomber, a tactic which is incompat…

  17. comment
    Comment #43663542

    Nice to see that they added that, but that section wasn't in the article when I wrote that comment.

  18. comment
    Comment #43661807

    This article doesn't mention TPUs anywhere. I don't think it's obvious for people outside of google's ecosystem just how extraordinarily good the JAX + TPU ecosystem is. Google sev…

  19. comment
    Comment #43375869

    People would correctly identify that their standard of living is being reduced for ideological reasons without tangible individual benefits and would likely not respond well to tha…

  20. comment
    Comment #43135518

    Yeah, that's the normal outcome for papers like this. Papers which claim to be groundbreaking improvements on Transformers universally aren't. Same story roughly once a month for t…

  21. comment
    Comment #43014259

    If that were totally true you would expect to see more or less uniform ratios of HP/HD cells mixes across different product types, but that's very much not the case. Dennard scalin…

  22. comment
    Comment #43013890

    If it were that simple fabs wouldn't offer a standard cell libraries in both high performance and high density varieties. TSMC continues to provide both for their 2nm process. A tr…

  23. comment
    Comment #43013039

    >Intel on 18A is literally TSMC's 3nm process + backside power delivery, which means more power efficiency, performance also less heat. That's a pretty serious abuse of the word "l…

  24. comment
    Comment #42334131

    The cost for both training and inference is vaguely quadratic while, for the vast majority of users, the marginal utility of additional context is sharply diminishing. For 99% of C…

  25. comment
    Comment #42333832

    No, additional context does not cause exponential slowdowns and you absolutely can use FlashAttention tricks during training, I'm doing it right now. Transformers are not RNNs, the…