Hacker Newsnew | past | comments | ask | show | jobs | submit | jzombie's commentslogin

  Location: Florida on paper (U.S. citizen born & raised); Currently residing in Nicaragua
  Remote: Yes
  Willing to relocate: No
  Technologies: Rust, TypeScript, Python, Docker, some PyTorch / Tensorflow
  Résumé/CV: https://www.linkedin.com/in/jeremyharrisconsultant/
  Email: jeremy.harris@zenosmosis.com
I'm timezone agnostic and on-call.


I am using ChatGPT to help me build a language that has a domain-specific use case with non-LLM models. The interpreter is written in Rust and the language resembles a mix of Lisp and SQL.


I have something similar.

https://github.com/jzombie/globcat.sh

Nothing fancy, but gets the job done.


It's not a tradeoff that is worth it to me.

I don't want a Facebook extension to have access to arbitrary data that I copy and paste in my browser, which may be unrelated to the app I'm developing at the time.


From what I can tell, the extension doesn't even have permission to make http requests so they aren't transmitting your data anywhere. (They also explicitly stated they don't on their listing).


> Likes/dislikes are stored in local storage and compared against all stories using cosine similarity to find the most relevant stories.

You're referring to using the embeddings for cosine similarity?

I am doing something similar with stocks. Taking several decades worth of 10-Q statements for a majority of stocks and weighted ETF holdings and using an autoencoder to generate embeddings that I run cosine and euclidean algorithms on via Rust WASM.


Yes. Your project sounds cool, post it!


I just responded to an adjacent query with the info.

https://news.ycombinator.com/threads?id=jzombie#42072665


> I am doing something similar with stocks.

How well does it work?


It seems to do well for a lot of searches, though some are questionable, but I believe that I know why. I'm training some different autoencoders to give it some different perspectives.

The code lives here: https://github.com/jzombie/etf-matcher

The ad-hoc vector DB I've created lives here: https://github.com/jzombie/etf-matcher/blob/main/rust/src/da...



I said "heh" out loud over this.

"let's bootstrap a whole OS to run a light weight html renderer" is just something we should all take a moment to marvel at.


To be clear:

- "Whole OS" is a standard alpine image (4MB) with just lynx installed via standard alpine package. Plus a layer for Lynx itself and entrypoint.sh script.

So a very standardized way to run it, with reusable popular base image, decent backbone for delivering it to the public, with ability to easily mirror and/or cache (done by default) each layer. Currently base Alpine has 0 known vulnerabilities, which may not be 0 tomorrow, but it's still a marvel that it ever has such low number. New versions are available instantly after developer creates new public image, without the need for maintainer of a distribution to look at it. Meanwhile your main OS can live it's own life in his own pace, without interference.

It doesn't sound scary at all, if you really have a closer look.


I am working on something similar and applied for your role! I prefixed my email with "ETF Matcher" just to correlate it here.


Maybe build something to do stock (or crypto, or some other market) analysis of some sort?


FaxGPT


The length of common LLM responses is perfectly able to fit on a sheet of paper.


globcat.sh is a tiny little shell script that concatenates multiple files together, as specified by a glob pattern, and sends them to standard output.


Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: