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mrlongroots

HN member
Joined
Sat, Apr 01, 2023, 5:33 AM UTC
HN karma
264
Public activity
98 items

About mrlongroots

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Recent public activity

  1. comment
    Comment #49219043

    In my experience, code is a small fraction of the work. I'm in an infra team and for the last 2 weeks or so I've been trying to understand whether a particular workload will catch …

  2. comment
    Comment #49164808

    Opinionated take: ingestion should be treated as a streaming reorganization workload, separate from whatever a "database" is. You do not even need to change the Iceberg spec, altho…

  3. comment
    Comment #48714558

    > And what might be the outcome? DoE compute budgets are ~10B USD across labs. AI training is a trillion-dollar workload. Different league.

  4. comment
    Comment #48714541

    All that would not help you with an AI training cluster interconnect. See Amin Vahdat's keynote at HotInterconnects 2025. Everyone is building a fabric for this stuff from scratch …

  5. comment
    Comment #48714504

    It is partly this and partly a funding vehicle for American next-gen computing. It is not that hard to estimate FP64 ballpark from a whole bunch of public statistics. And it takes …

  6. comment
    Comment #48714452

    Today's limits are known and undisputable. Tomorrow's limits are a promise: some promises over-deliver, others under-deliver. :) Regardless, to bring the discussion back to the cla…

  7. comment
    Comment #48714010

    > With alzheimer's an autopsy can tell for sure but that's not much help for a patient. Ok let us unpack this statement. For your point to hold, I would have to be saying "all kind…

  8. comment
    Comment #48713647

    Pyschiatry gets complicated because the failures are not mechanical. Even if you could image every single neuron in a person's head we do not have a very good way to define an algo…

  9. comment
    Comment #48712182

    > I think „the diagnosis” is over simplification and lots of professionals would disagree that there’s always a single one. "The Diagnosis" does not mean "one root cause". Situatio…

  10. comment
    Comment #48712114

    > There is no guarantee that the LLM will help you converge on anything. Absolutely. The guarantee does not come from the LLM. The LLM is a simply an improved version of Google Sea…

  11. comment
    Comment #48711744

    Yeah I think the OP is muddling the point by conflating "physician's version of the diagnosis" with "The Diagnosis". There is absolutely one "The Diagnosis". Human body is a machin…

  12. comment
    Comment #48711703

    Maybe I am missing something but I just find this wrong. Everything is a puzzle: there is one "Truth" or one diagnosis. You (a smart human) should be able to converge on it by cros…

  13. comment
    Comment #48141682

    > Yes, they don't realize it or lie to themselves because ~50% dropout. I think there's some misinterpretation here. Not staying on in academia after PhD (common/modal) is not the …

  14. comment
    Comment #48141095

    As someone who graduated with a 7.5 year long PhD last month, I feel like PhD stipends are not a major problem. Like I got $40K in a low CoL area, but accounting for tuition and ov…

  15. comment
    Comment #47864386

    That training is compute-bound and inference is memory-bound is well-known, but I don't think Nvidia deployments typically specialize for one vs the other. One reason is that most …

  16. comment
    Comment #47627244

    MapReduce is nice but it doesn't, by itself, help you reason about pushdowns for one. Parquet, for example, can pushdown select/project/filter, and that's lost if you have MapReduc…

  17. comment
    Comment #47627195

    Algebras are also nice for implementations. If you can decompose a domain into a few algebraic primitives you can write nice SIMD/CUDA kernels for those primitives. To your point, …

  18. comment
    Comment #46917518

    Yes, GPT5-series thinking models are extremely pedantic and tedious. Any conversation with them is derailed because they start nitpicking something random. But Codex/5.2 was substa…

  19. comment
    Comment #46734604

    While Arrow is amazing, it is only the C Data Interface that can be FFI'ed, which is pretty low level. If you have something higher-level like a table or a vector of recordbatches,…

  20. comment
    Comment #46208443

    Hyperscalers do not need to achieve parity with Nvidia. There's a (let's say) 50% headroom in terms of profit margins, and plenty of headroom in terms of the complexity custom chip…

  21. comment
    Comment #46188506

    Yeah unfortunately no amount of manoeuvering is a substitute for a kill chain where a distributed web of sensors and relays and weapon carriers can result in an AAM being dispatche…

  22. comment
    Comment #45928485

    The appropriate comparison point for aggregate cluster storage bandwidth would be its bisection bandwidth. (I do HPC, IIRC ANL Aurora is < 1PB/s DAOS and 20 PB/s bisection).

  23. comment
    Comment #45928442

    I think I'm talking about cluster-scale network bisection bandwidth vs attached storage bandwidth. With replication/erasure coding overhead and the economics, the order of magnitud…

  24. comment
    Comment #45923510

    Yep I think the value of the experiment is not clear. You want to use Spark for a large dataset with multiple stages. In this case, their I/O bandwidth is 1GB/s from S3. CPU memory…

  25. comment
    Comment #45862093

    > LDL-C is much much cheaper to measure. ApoB costs 36x times as much, so Insurance Companies don't like to pay for it Unfortunately American retail prices might as well be generat…