Cool project, but just a side thought I was having about how do people have resources and the money to make things like this and make it avl for public, I mean it's fair to say they have their own GPUs or if they are using api keys for gpt or Gemini with enterprise subsidized inference

But still coming from a frugal background I still cannot wrap my head around this

I am unfortunately just paying for this out of pocket! Didn't really expect it to blow up like this.

Thank you for sharing this. Not often do you get projects that expand your imagination about what we can do with these models.

Please write a blog post about the experience of making / hosting / paying for this. I’d love to hear about it.

Thank you for this, i think it's fantastic! I've got some open source AR work i'm doing, it's given me some inspiration to build something using it!

Amazing work, thanks for building this. Are you planing on open sourcing it? Do you have a way to support your work?

Are you running it from your own gpu(s), or paying for the gpu usage in a likely-eye-watering way? ;)

What's the average cost per interaction?

They’ll take it down once they get hit with a 50k inference bill overnight after getting hit by the hug.

I mean, do you have any hobbies or does every cent you have go to food, rent, and savings, with no frivolities, not even a drink after work or food that isn't rice and beans? Some people play video games or painting or carpentry or what have you. Instead of spending money on alcohol or sports, some people with FAANG-level salaries choose to spend their entertainment budget on GenAI art projects. Not your cup of tea, totally fine, but I suspect your budget has something others could choose to find frivolous if someone wanted to nitpick.

The comment seems less about frivolousness and more about budget.

Very nice! I found the tutorial on gaussian splatting to be very neatly written and educational

Why are they doing this?

Nice! I need something similar for english now

I am awaiting for a full duplex model from qwen team

This is cool! I am more interested in how you guys generated next edit training data from repos, seems like there are lots of caveats here. Would love your insights

Again amazing work! waiting for what you guys cook next

The blog post has more information: https://blog.sweep.dev/posts/oss-next-edit

Also more technical details on SFT data here:

https://blog.sweep.dev/posts/next-edit-jetbrains#building-au...

my site: https://martianlantern.github.io/

I liked the new approach but I don't like the pseudo security framing. I don't see how an LLM rewritten query is secure than just sending my raw query, in both cases I don't feel secure at all

Cool! but it would be more educational if it explained each step and it's reasoning

If I am missing something, isn't this the whole purpose of hacker news to be a link aggregator for technical/developers?

Hacker News is mostly anything tech related. That are links from news websites, github projects and etc.

My project is just for reading individual blog posts from fellow developers. There is also a lot of filtering capabilities as well.