Sorry about that. We updated the blog with attribution and put an attributing comment in our code base where we use your benchmarking prompts. We'll probably delete our implementation of your response format later today since we just had it for benchmarking.
Location: Seattle
Remote: Open to in person in the Seattle area or remote.
Willing to relocate: no
Technologies: Python, Typescript, Javascript, Clojure, Vimscript, chatGPT, copilot, git, vim, tmux, aws, gcloud, React, Flask, Numpy, Express, Terraform, Postgres
Résumé/CV: ja3k.com/cv
Email: [email protected]
I've become sort of a generalist and am open to hearing about any opportunities but some things I'd be particularly suited for or interested in:
Roles where I can apply my mathematical experience. I've written two papers in random matrix theory. I don't expect most employers will be interested in the results themselves but I have strong linear algebra and probability fundamentals.
Full stack software engineer roles.
I'm also interested in trading. As a side project I traded just over a million dollars of volume last month and made a $400 profit.
To be honest I hated the nags. Little pop ups on amazon.com and occasional e-mails that didn't even have unsubscribe links. If you want to donate to charity great, but as your customer I don't want to hear about it.
I might be being dumb but does anyone understand the graphs on page 18? There are multiple lines for different consumption levels but the x axis is also consumption level? I also don't understand why everything is piece-wise linear. It makes me think they don't actually have very high quality data? Maybe people just self selecting buckets?
Remote: Preferred
Willing to relocate: No
Technologies: llm apis, postgres, python, typescript, react, materialui, fastapi, aws (s3, ec2, beanstalk, lambda, cloudfront)
Résumé/CV: https://ja3k.com/resume.pdf
Email: [email protected]
I've been working on llm codegen the last 2 years at mentat.ai and would like to keep working on it.