Mxbonn

This looks really cool! The cuteness of the demo alone makes me want one. Ideally I would also love for it to have a real use case in my home but right now I really cant think of one.

uv and ruff are one of the best things that happened in the python ecosystem the last years. I hope this acquisition does not put them on a path to doom.

Now that PyTorch is also ending their anaconda package distribution, I think a lot of ml/ds people should give uv a shot.

What happened to text prompts that were shown as early results in SAM1? I assume they never really got them working well?

I love framework. Have been using as my main device during the last years of my PhD. However now that I got a company mac book I was using it less and less, so I decided to buy the Cooler Master mainboard case and now I'm using it as a home server. Wouldn't have been able to do that with any other laptop.

I've been using the claude model over the past months and I have to say I usually prefer it over ChatGPT.

Some things that impressed me particular are:

* It can often give you working urls of images related to your query. (e.g. give me some images to use with this blog paragraph).

* It can list relevant publications corresponding to paragraphs, chatgpt often halucinates new papers but claude consistenly gives highly cited and relevant suggestions.

* It can work with pdf inputs.

Couldn't immediately find it but who sponsors/pays for the compute?

Alright so nearly all the 'cheap' stars got detected, but did any of the 'premium' stars get detected?

"... a better project might be to read papers until you find something you’re really interested in that comes with clean code, and trying to implement an extension to it."

Doesn't have to be clean but starting from a reproducible codebase at least gives you the guarantees that you have everything. Too often papers omit details that are crucial for a successful reproduction.