What is the question about:

A: Why start a 'new' software project? (instead of old, none, multiple, ...) B: Why in 'C'? (instead of Mojo, Java, D, ...) C: Why 'today'? (instead of Yesterday, Tomorrow, never, ...)

For me the beauty of this project is:

Someone tried to figure out for themselves what an end-to-end process would look like for what they wanted to do. What happens to the input? How are files written? What is sent to the LLMs?

And they used the tool they know best. No `import openai`.

From [1]:

> As you might guess, this suggests that distilling reasoning traces may have been possible for a long time without ever breaking the cryptography.

> An anecdote: we find that prefilling Kimi-K3 reasoning with a few tokens of Opus reasoning measurably shifts its response toward Opus’s

> A small memorization analysis showed that specific Claude and GPT reasoning spans are up to ~6 orders of magnitude easier to extract from Kimi-K3 than from the next-closest model.

[1] https://x.com/kotekjedi_ml/status/2087147042888114428?s=42

Why would anyone still use off-the-shelf software when they can have a system that has access to all data, can transform it into any form, and can export it in any format?

After years of thinking that I needed to develop a decent movie management system for my own films or a columnar browser for large CSV files, Claude and Qwen each delivered exactly what I needed in just a day.

Thanks for the hint. It makes sense, even if the main driver for releasing the models is to reduce the market size for the US companies.

Do you have any sources?

Edit: "market size"

Maybe it's not just vibe-coded, maybe the numbers themselves are being hallucinated by an LLM.

I can, however, easily explain the division in Europe: In Italy (for example, in Palermo), the vigorous growth of many species very often leads to significant damage to infrastructure.

Here in Vienna, there’s a directory of trees[1] where you can see, among other things, the species and age.

[1] https://baumkarte.at/

Literaly.

It may just be greenwashing to check “AI sovereignty” off the list.

Thanks for sharing!

Or does this only run in simulation anyway?

Comments URL: https://news.ycombinator.com/item?id=47322750

Points: 2

# Comments: 0

Even the documentation search is available:

```bash

/Applications/Wolfram.app/Contents/MacOS/WolframKernel -noprompt -run '

Needs["DocumentationSearch`"];

result = SearchDocumentation["query term"];

Print[Column[Take[result, UpTo[10]]]];

Exit[]'

```

Interesting project! I haven't really worked with Vulkan myself yet. Hence my question: how is the code compiled and then loaded into the cores?

Or is the entire code always compiled in the REPL and then uploaded, with only the existing data addresses being updated?

[1] https://crux-ecosystem.github.io/MOL/