Reubend

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.

Is there a way to regain some compression ratio in Snappy if you're okay with slow compression but need fast decompression?

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.

Isn't the pursuit of knowledge alone good enough?

I think there's some hidden demand for a small cheap car, but 19 MPH is indeed too slow. It needs to be able to go at least to slow highway speeds.

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?

Can this engine be embedded into other programs?

rendering DirectX 8 → DXVK → Vulkan → MoltenVK → Metal

Am I reading that right? It makes API calls that go through 5 different layers before actually getting rendered? That's kind of crazy. I'm surprised it works, although I guess the underlying libraries are solid enough that it shouldn't be unexpected.

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.

The example images look great. Always good to have more diverse OSS models.

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.

I opened 120+ issues in Dgraph, Typedb and surrealdb looking for the perfect graphDB

Can you share some examples? What was wrong with those?

I don't really understand the connection; they went from image generation to medical scanning?

the WAV file decoding perf improvement is also very welcome!

It’s literally impossible to catch Pac-Man?

I caught him! So it's definitely possible. You move a little bit faster than he does so you need to anticipate where he's going.

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?

Yeah I was wondering about this too. It seems like way too much per GPU considering the purchase price of a B200 was around $40k last time I checked. So if we naively ignore the price of electricity and maintanence, it would only take 5 months before renting is a worse deal than buying outright.

A University System Went All In on A.I. Now It’s Tearing Itself Apart.

The NYT often has a bias against AI, but the article's contents are actually a pretty reasonable summary of the different attitudes towards AI in academia. Then they went and slapped a terribly sensationalist headline on it, which doesn't seem well supported by the actual article.

Super cool side channel attack. I tend to agree that it's pretty impractical, but it's such a fun discovery!

0 ms Startup time

Is that true? It just goes right into the code with no initialization of any other libraries needed?

Hey there, I'm going to check out your project because the comments here have me a little worried that OP's project might have some quality issues.

Two things I found a little confusing from the docs though:

I couldn't easily find a page describing what it can't do yet. I saw that it only works with a "strict, deterministic subset of TypeScript", but is there a page showing what's included and not included in that subset?

Also, what's an "ambient surface" in this context? Is that a compiler term I'm just not familiar with?

Yeah that seems off to me too. But I guess they meant that since CockroachDB is compatible with Pg, it would also serve the same prupose?

This is such a refreshing policy. AI code is welcome as long as it's good, but comments have to be human.

If someone can't take the time to write their own replies (in their own words), then it feels fair to assume that they didn't take the time to test, review, and clean whatever code they submitted.

Yeah I really agree. There's no overage pricing on their website's main pricing page, which makes me think the jump from "Team" to "Pro" to negotiating an enterprise contract will really hurt. Going from $39/month to $199/moth because you needed slightly more is a really big jump in pricing. It's pretty much the opposite of what I would expect from a service that lets you scale to 0.

Props to them. That makes DeepSeek v4 Pro extremely cheap compared to others, even in the same category. Look at these prices per million outputs tokens:

DeepSeek V4 Pro: $0.87

Qwen 3.7 Max: $7.50

Grok 4.3: $2.50

GLM 1.5: $3.08

Opus 4.7: $25.00

GPT-5.5: $30.00

Seems like a branding mistake to me. This new device doesn't target the same group of customers that the Flipper Zero did, so it will be much harder for them to market it effectively, since the first device is already famous enough that people know them for that market.