lukebechtel

Joined 11 years ago

Karma
1,448
Submissions
449
Member since
Nov 3
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)

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Recent submissions

Comment · 1 month ago
Fatalism is a toxic mindset. Is it hard? yes. Is it impossible? No.
Comment · 2 months ago
I relate to this; there are some things I remember very well, but in many areas I think my talent for improvisation stems from a ~mid long-term memory.
Comment · 3 months ago
> 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, and verified the chip using open-source EDA tools on the Nangate 45nm library. Within 4 mm², the chip closes timing at 100 MHz and sustains over 8,700 tokens/s decode throughput in simulation, packing 1.46M standard cells, 0.277 MB of SRAM, and an INT4 MAC array with fused dequantization. A chip built by a model, for a model, reflects K3's long-horizon agentic capabilities.

Absolutely wild.

Comment · 6 months ago
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 the prompt.

I would not suspect quantization before I would suspect harness changes.

Comment · 7 months ago
really fun :) thanks!
Comment · 7 months ago
it sounds like you described it pretty well!
Comment · 7 months ago
~/.claude/projects is where the real fun is :)
Comment · 7 months ago
What is your domain?
Comment · 7 months ago
so we need to make some crazy llms...
Comment · 7 months ago
Comment · 7 months ago
The bitter lesson strikes again, I suppose!
Comment · 7 months ago
Good questions! It's clear I need to gather more metrics from our next generated inference library.

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