noahgolmant

3 ms·

1.
Low-Latency Serving of High-Resolution Aerial Imagery at National Scale(earthscale.ai)
1 points by noahgolmant 2mo ago|0 comments
2.
You can predict LLM output sensitivity in closed form(noahgolmant.com)
2 points by noahgolmant 5mo ago|0 comments
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by noahgolmant 5mo ago
There is some literature on student-teacher training with Jacobian matching: https://arxiv.org/abs/1803.00443 this might be in the direction you're looking for. I believe in the cross entropy case matching the Jac
4.
After 8 years, I rewrote my open-source PyTorch curvature library(github.com)
90 points by noahgolmant 5mo ago|4 comments
5.
by noahgolmant 5mo ago
Back in 2018 I published pytorch-hessian-eigenthings, a niche open source package for GPU-accelerated curvature analysis of PyTorch models. Loss landscape curvature metrics like the eigenvalues of the Hessian have been implicated in many ge
6.
by noahgolmant 5mo ago
The human has unique context. They may work in a niche domain or they talked to people and observed an unsolved problem. Then they express a potential solution via OSS. It's like product sense. Then they share that with others who find
7.
by noahgolmant 5mo ago
I don't really know. Certainly we need a higher bar. The Kafka example in the post may be hyperbolic but I agree it pollutes the space. But we also can't swing the other way and rely completely on out of date proxies. If you ban A
8.
by noahgolmant 5mo ago
There has to be room for an AI-driven project that expresses a unique idea, even if there's no community around it yet. Someone has to express it, and from now on that idea will largely be implemented with AI. > A good use of AI is
9.
by noahgolmant 5mo ago
I would not extrapolate California results to the rest of the country. Other regions like Northern Virginia or Dallas-Forth Worth dominate current and future data center load. They have significantly different water and land use trends. Of
10.
by noahgolmant 6mo ago
You may want to look into the PMTiles format and tippecanoe. It efficiently produces pyramidal XYZ tile overviews of vector data. Sometimes this is also done server side via the PostGIS asMVT ffunction, or Martin. For client side rendering,
11.
Show HN: Build ML training datasets from large-scale satellite/aerial imagery(github.com)
2 points by noahgolmant 10mo ago|0 comments
12.
by noahgolmant 10mo ago
A tool to build labeled object detection training datasets from large-scale satellite/aerial imagery collections: https://github.com/noahgolmant/label-tiles Web maps usually join together lots of small images call