There aren't many local image editing models, so this is a welcome contribution! It's very compact considering the good demo results from their webpage.
My biggest gripe against eSIMs is that switching from one phone to another is difficult. I wish I could simply send a file to the other phone and get along with things.
Seems like this is particularly good at instruction following, but not as strong at coding as others. It's always great to get more diversity of open weight models though! I'll need to test this out to see what its "personality" is like.
> What is it that matters for "immediate mode"? Is it that the UI renders everything every frame? No. It's that you build the UI by describing what it should look like everyframe, based only (or mostly) on the data. This is why React won...
I don't think that's why React got so popular. React popularized unidirectional data flow, which is different than immediate mode rendering. This readme file seems to conflate the two of those.
Now that I think of it, couldn't one argue that React itself is a retained mode UI, since it choses which components to re-render and which not to?
I'm sorry, but I agree with the wiki editors in this case. Odin is obscure. The author of this blog post seems to think it's well known, but I don't think that's substantiated.
That understates how difficult it is to get to the level of performance they attained. The fact that it surpasses DeepSeek v4 in most ways shows that they accomplished some great work in this space.
I think you're missing the point. Everything you said is theoretically correct, but the parent comment was talking about the concrete circumstance of pentesting with the top models today.
Let's just take GPT 5.5 and Opus 4.8 as an example. Both are worse than Mythos 5, but they're capable of quite a bit when the guardrails are lifted and they're paired with a skilled human operator. They more than "good enough" to reach the same result with the addition of some human effort.
It is strange, huh? But the hype cycles around these models often ignore good contenders. Xiaomi's MiMo-V2.5 Pro was doing really well and didn't get much hype either.
Seems like there's no official blog post with benchmark results yet. But I'm once again thankful for the Chinese AI labs for being open with their work and contributing it to the world under permissive licenses like this. The Fable 5 fiasco is just another reminder of how valuable these things are to have.
I've never understood the appeal of minimal writing apps. They've got beautiful UIs, but I could theoretically do everything here on a normal writing app, couldn't I?
Thanks so much for explaining this. I was just about to comment "Isn't Vulkan the main OpenCL and CUDA alternative these days?" could you share a bit more on what Vulkan is missing relative to the other two?