Viewing profile — lukebechtel
lukebechtel
HN member- Joined
- Tue, Nov 03, 2015, 4:31 PM UTC
- HN karma
- 1,445
- Public activity
- 447 items
- HN profile
- View on Hacker News ↗
About lukebechtel
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
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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, …
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Comment #48001858
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Comment #47881652
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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…
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Comment #47685962
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Comment #47643189
really fun :) thanks!
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Comment #47618800
it sounds like you described it pretty well!
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Comment #47550184
~/.claude/projects is where the real fun is :)
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Comment #47496745
What is your domain?
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Comment #47486206
so we need to make some crazy llms...
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Comment #47361049
there used to be https://default-filename-tv.neocities.org/ but it got taken down :/
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Comment #47337912
The bitter lesson strikes again, I suppose!
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Comment #47337904
Good questions! It's clear I need to gather more metrics from our next generated inference library.
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Comment #47337888
Unfortunately it hasn't been open sourced. We're debating how / when to do this right now.
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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…
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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…
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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…
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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…
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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…
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Comment #47153451
I also do this!
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Comment #47093682
Thank you Georgi <3
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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.
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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...
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Comment #46907278
Oh, I always use opus 4.5 thinking mode. Maybe that's the diff.