esafak

That's what the web is for: https://ui.shadcn.com/

Emrah, it seems that EDX does not offer any edge over GCX, when paired with an agent like Claude?

I love the ranker. Good job, guys; you should open source it.

Other countries import cheap labor too.

It doesn't look competitive along any dimension: https://artificialanalysis.ai/models/step-5#intelligence-com...

Better luck next time.

It's a search problem; finding the shortest and most elegant path through the space of arguments.

How hard is it to add that? We have plenty of writing from people of all ages to draw a model from. They just have not got round to it.

I communicated loosely; I meant AI users in general, not OpenAI specifically.

Ask away. They've dropped the mic, as far as they're concerned; they're not going to worry about what you do with it, or if you don't understand it.

This is just the first cut. I have no doubt that they will polish their proofs over time.

It's the Docker you know and love... with AI!

What's new or interesting here? Docker's AI story ought to be around sandboxing, yet the word appears nowhere. Oh, and it's YAML, which I despise.

It's their creative way of 'matching' Luna's prices.

Do they? How would it be different?

This is such an opportunity for competitors. I hope they don't squander it.

How does it compare with alternatives? Benchmarks and feature comparison table, please.

The problem with progressive rendering is that the user never knows when downloading is complete unless you add loaders to each image.

Ain't nobody paying me to do that. It's kinda sad that maths is being reduced to checking the AI's work.

I fear that professional mathematics will wither, and there will be nobody left to digest the AI results of the future, leaving us unable to challenge the AI.

I think that happened after word of the project reached OpenAI and they allocated resources to it.

You knew it was going to happen! Benchmarks or it didn't happen.

In the issue, polars' creator says it is to reduce dependencies:

   I don't want polars to depend on on the datafusion crate, that is a complexity that is not needed.

In mathematics this is called the trivial solution, and is often excluded from consideration.

If you could whip up something to design WGSL shaders that would be awesome.

ProductHunt clone?

Paradoxically, AI enables workers to feel more connected to the fruits of their labor by reducing their need to specialize; they are now able to field adjacent tasks.

It does not use datafusion. https://github.com/pola-rs/polars/issues/6197

Mistral is one of the few European AI labs. Look up "sovereign AI".

Hobbyists are more likely to use IDEs at this point; pros have to get work done.