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jloveless

HN member
Joined
Thu, Mar 23, 2017, 7:52 PM UTC
HN karma
188
Public activity
90 items

About jloveless

co-founder @ edgemesh.com

Recent public activity

  1. comment
    Comment #48876027

    We’ve used versions of L in production for approaching year 10

  2. comment
    Comment #48836621

    More niche than many yes - but there’s something about learning an array language that changes how you look at programming in general. And for the better. Of course, the places whe…

  3. comment
    Comment #48833515

    intentional. I consider kdb/kdb+ to be understood as the KX products - but L runs the same database style functionality (the qSQL is essentially just sugar atop the q/k code. Most …

  4. comment
    Comment #48833173

    I’d encourage running the master bench yourself! Super easy https://github.com/l-labs/master-benchmark Or on the database side of the house try the h2o.ai base that duckdb excels a…

  5. comment
    Comment #48828276

    Even deeper is the full test suite ala https://github.com/l-labs/rust_ipc/blob/master/tests/ipc_tes... Which is ~6k tests (Rust is actually what I use to drive release testing)

  6. comment
    Comment #48828183

    For QC this is a pretty solid tester (run on L or other compatible runtime) - focused on performance as it pushes multiple edges. https://github.com/l-labs/master-benchmark Which c…

  7. comment
    Comment #48828024

    fair point. I am not a front end designer and I did want something less spartan than proverbial q.txt [1] . To be honest - many folks in the community have had access for some time…

  8. comment
    Comment #48828002

    relative to CPU speed ... no. see [1][2]. the early versions of L (circa ... 2011/2012) couldn't really deliver any substantial performance improvement over what is out there (BQN/…

  9. comment
    Comment #48827303

    Definitely not a vibe coded language - I really wish the ai models were more helpful - but I should do a write up of the assembly analysis (and asm2vec). ATW is working on even mor…

  10. comment
    Comment #48826652

    KlongPy and KlongPy + duckDB are wonderful. GREAT job. I think there's a whole world of backprop / ML work that can be done in that style! Given the heritage not surprising that mo…

  11. comment
    Comment #48826407

    Sorry about that. Basically you can now write and run code in the K/q/or qsql languages on your laptop for free. For a very long time (20 years+) this language has not been accessi…

  12. comment
    Comment #48825795

    duckdb is great and its h2o.ai benchmark was difficult to beat!

  13. comment
    Comment #48825375

    there's one in the footer and agree.

  14. comment
    Comment #48824912

    Unfortunately the code itself is in a style of C many find difficult to read. I blame my upbringing. ATW open sourced examples and it was not really helpful. More recently others a…

  15. comment
    Comment #48824450

    there's even a secret -17!`name that will show the details. e.g. //100k random 32b ints ... l>v:100000?255 l>v 196 124 18 216 63 169 151 173 126 99 90 133 92 158 217 169 201 191 13…

  16. comment
    Comment #48824405

    simple example at https://lv1.sh/blog/compute-on-compressed/ But in general compression is reducing the bit width of the input through an encoder (FOR or Frame of Reference is an o…

  17. comment
    Comment #48824257

    give it a spin! download is ~500kb for mac. It is however targeting folks who come from that world - but K/Q are absolutely worth exploring!

  18. comment
    Comment #48824156

    yup website is Claude Design for prototype. For the core ... AI has been less helpful than I hoped - I believe largely because array style languages have so little source in traini…

  19. comment
    Comment #48823920

    I think one day we'll do that on https://oxide.computer/ 1: because we love our friends 2: the gear is great (and ROCEv2 supported which L uses)

  20. comment
    Comment #48823779

    BQN & CBQN are absolutely wonderful pieces of code. L is mac/lin but linux is avx512 only specifically to try to deal with that problem. The compute on compressed algos helps fit m…

  21. comment
    Comment #48823594

    shoutout to bryan @bcantrill who I think explained K best at https://youtu.be/2wZ1pCpJUIM?si=y4ugbFXroTZc22AY&t=471 and https://queue.acm.org/detail.cfm?id=1531242

  22. comment
    Comment #48823513

    and fusion (e.g. f g h x has no intermediates e.g. mutates in place) is new as is compute on compressed vectors (very helpful performance unlock) https://lv1.sh/blog/compute-on-com…

  23. comment
    Comment #48823490

    next letter after k

  24. comment
    Comment #48823476

    Not a web dev - but have some experience in benchmarking these types of workloads e.g. https://www.mcobject.com/press/november19-2014/ L used the two open ones that are easy to rep…

  25. comment
    Comment #48823377

    benchmarks at https://github.com/l-labs unlike klong/ngn/bqn et al (which are GREAT) this has the goal of full production database compatibility (and full language compatibility).