Live data from Hacker News

Viewing profile — lukebechtel

lukebechtel

HN member
Joined
Tue, Nov 03, 2015, 4:31 PM UTC
HN karma
1,445
Public activity
447 items

About lukebechtel

lukebechtel.com

Say hi : luke (at) lukebechtel.com

Current: - Founding Engineer @ Infinity AI Institute - AI/ML Consulting @ Positive Sum Products (https://positivesumproducts.com)

Former: - Founder @ Reasonote (https://reasonote.com) - Principal AI/ML Eng. @ Regscale (https://regscale.com) - Dir. of Eng. @ Revaly (now Cadchat) (Acq. in 2023) - Cofounder @ Collider Inc. (Acq. in 2022)

Recent public activity

  1. comment
    Comment #48939859

    > Chip Design > As an early proof of concept, Kimi K3 designed a chip to serve a nano model built on its own architecture. In a single 48-hour autonomous run, K3 built, optimized, …

  2. comment
  3. comment
  4. comment
    Comment #47879675

    Some people seem to be suggesting these are coverups for quantization... Those who work on agent harnesses for a living realize how sensitive models can be to even minor changes in…

  5. comment
  6. comment
    Comment #47643189

    really fun :) thanks!

  7. comment
    Comment #47618800

    it sounds like you described it pretty well!

  8. comment
    Comment #47550184

    ~/.claude/projects is where the real fun is :)

  9. comment
    Comment #47496745

    What is your domain?

  10. comment
    Comment #47486206

    so we need to make some crazy llms...

  11. comment
    Comment #47361049

    there used to be https://default-filename-tv.neocities.org/ but it got taken down :/

  12. comment
    Comment #47337912

    The bitter lesson strikes again, I suppose!

  13. comment
    Comment #47337904

    Good questions! It's clear I need to gather more metrics from our next generated inference library.

  14. comment
    Comment #47337888

    Unfortunately it hasn't been open sourced. We're debating how / when to do this right now.

  15. comment
    Comment #47331305

    This is a fair critique! We plan to use our system to generate many more inference libraries of this nature, and I'll make it a point to release better, broader correctness measure…

  16. comment
    Comment #47329203

    Yes, great question! The system started without paged attention, and recreated its own paged attention implementation automatically once it realized it was a bottleneck. Pretty coo…

  17. comment
    Comment #47328359

    Unfortunately, not at present; we went for FP8 because we believed it was generally the best tradeoff of quality and speed. Allowed faster iteration as well. We believe our improve…

  18. comment
    Comment #47327497

    Yes, speculative decoding will make both us and VLLM faster, but we believe it would be a relatively even bump on both sides, so we didn't include it in this comparison. Worth anot…

  19. comment
    Comment #47327480

    We validate with MMLU and Hellaswag presently, and are getting this independently verified by a 3rd party. We have considered open-sourcing some of our optimized inference librarie…

  20. story
  21. comment
    Comment #47153451

    I also do this!

  22. comment
    Comment #47093682

    Thank you Georgi <3

  23. comment
    Comment #47083117

    sonnet 4.6 is a third, and equivalent to opus 4.5, which is enough for me usually :) EDIT: Gemini does have 1m context for "free" though so that's great.

  24. comment
    Comment #46991443

    Arc-AGI-2: 84.6% (vs 68.8% for Opus 4.6) Wow. https://blog.google/innovation-and-ai/models-and-research/ge...

  25. comment
    Comment #46907278

    Oh, I always use opus 4.5 thinking mode. Maybe that's the diff.