mkroman

>Has it become a trend to pick up some proprietary software and vibecode a replacement for it and then slap a FOSS license on it?

Very much, yes. It started niche, and then notable sloppified projects made the normie news (Artcraft, sloppified Adobe software stack) and Sony's "you will own nothing" stance made people target the PS5 and popular titles that are now popular decompilation and emulation projects.

After that made the rounds, it seems everyone has gone full tilt on remaking existing products, but worse (there are some that are decent, but this does not look like one of them)

It's cool and interesting, but I can't help but feel we're about the enter an entirely new era of anti-consumer lobbying leading to new legislation that will be an absolute bloodbath for these projects, all while making individual consumer rights even worse.

I disagree.. Feels very sloppy to me:

- Time is UTC rather than local by default.

- Units are imperial rather than metric (i.e. not basing it on users locale)

- The concept of init time is not initially clear at all, so it's confusing when you click the calendar icon to see the weather forecast for a future date only to see it isn't an option, you have to use the slider.

- When changing the sidebar to the "detailed" view, most of the hovering element is cut off by the container so you can't actually read it.

And it took longer to write this comment than it did to find these issues. It's fine since it's clearly marked as experimental, but I disagree that it's "really easy to use" :p

The plugin is specifically for handling backups via object storage.

CloudNativePG also implements support for volume snapshots: https://cloudnative-pg.io/docs/1.29/backup#backup-methods

It's a terminal. It was a terminal before they pivoted to AI (I don't blame them, with their funding rounds I don't see them having particularly free reins) Before this, it was all about collaborative (CRDT) features. I have no idea why you'd want a terminal that is also an agent harness, but I appreciate them making it open source none the less.

> how are we in 2026 and phones dont have guest mode or "i handed it to my kid mode"

They do. Android have had multi-user and guest profiles since Android 5.

The only reason I really know this is because I heard how Google completely bungled it in Android 14 on Pixel devices[1] :D

[1]: https://arstechnica.com/gadgets/2023/10/android-14s-ransomwa...

How? The article states:

> For the same reason, plugging in an external keyboard is also a no-go since freshly updated iPhones are placed in what's known as a Before First Unlock state, which prevents wired accessories from working until the passcode is entered.

The user can't even enter their passcode, how do you expect them to perform code execution?

> but if you do specs and tests it's actually the opposite, you can go beyond technical debt and regenerate your code as you like.

Having to write all the specs and tests just right so you can regenerate the code until you get the desired output just sounds like an expensive version of the infinite monkey theorem, but with LLMs instead of monkeys.

Ah cool, thanks, didn't know this existed. I just get a dummy message when playing audio, so I'll play around with some speech dispatcher[1] solutions later!

> Oh, and mozilla's off-line translate for private translation of web pages... that's another neat AI thing they added that I've found super helpful.

Yes, it's awesome! And one of my favorite additions to Firefox in many years, it's stuff like that they should focus on if they want AI, imo.

[1]: https://wiki.archlinux.org/title/Speech_dispatcher

Ah yeah, there's this: https://github.com/mozilla/TTS

I can't seem to find anything that mentions a Firefox integration though?

I don't understand how they expect offline LLM models to work in a meaningful capacity for users.. Isn't there a single multilingual person working at Mozilla?

All of the small LLM models break down as soon as you try to do something that isn't written in English, because - surprise - they're just too small.

There would need to be a hardware breakthrough, or they would have to somehow solve the heavy cost of switching the models between pages.

Instead of useful AI stuff that is a clear improvement to accessibility, they're insistent on ham-fisting LLM solutions that no one have even asked for.

Off the top of my head, they could instead:

1. Integrate something like whisper to add automatic captions to videos or transcribe audio

2. Integrate one of the many really great text to speech models to read articles or text out loud

What I don't see mentioned here or in the article:

PostNord Denmark has been operating with massive losses for a while now, in part because they were required by law to be able to deliver everywhere in Denmark, when there were very little demand for it. The money just isn't there, which is why the law has been changed.

The cost of sending a letter was also just going up and up. In 2025, it cost $4.55 _per letter_.

> I wish Docker Swarm survived.

I heard good things about Nomad (albeit from before Hashicorp changed their licenses): https://developer.hashicorp.com/nomad

I got the impression it was like a smaller, more opinionated k8s. Like a mix between Docker Swarm and k8s.

It's rare that I see it mentioned though, so I'm not sure how big the community is.

> CUE was a fork of the Go compiler (Marcel was on the Go team at the time and wanted to reuse much of the infra within the codebase)

Ah, that makes sense, I guess. I also get the feeling that the language itself is still under very active development, so until 1.0 is released I don't think it matters too much what it's implemented in.

> Also, so much of the k8s ecosystem is in Go that it was a natural choice.

That might turn out to be a costly decision, imho. I wanted to use CUE to manage a repository of schema definitions, and from these I wanted to generate other formats, such as JSON schemas, with constraints hopefully taken from the high-level CUE.

I figured I'd try and hack something together, but it was a complete non-starter since I don't work within the Go ecosystem.

Projects like the cue language live and breathe from an active community with related tooling, so the decision still really boggles my mind.

I'll stay optimistic and hope that once it reaches 1.0, someone will write an implementation that is easily embedded for my use-cases. I won't hold my breath though, since the scope is getting quite big.

shudders.. `| nindent 12`..

I've been trying to apply CUE to my work, but the tooling just isn't there for much of what I need yet. It also seems really short-sighted that it is implemented in Go which is notoriously bad for embedding.

> At the same time, it struggles with RAM usage when handling even 1TB of data, and presumably ptar has better scaling at that size.

There's also rustic, which supposedly is optimized for memory: https://rustic.cli.rs/docs/

The AI hardware race is still going strong, but with so many rapid changes to the fundamental architectures, it doesn't make sense to bet everything on specialized hardware just yet.. It's happening, but it's expensive and slow.

There's just not enough capacity to build memory fast enough right now. Everyone needs the biggest and fastest modules they can get, since it directly impacts the performance of the models.

There's still a lot of happening to improve memory, like the latest Titans paper: https://arxiv.org/abs/2501.00663

So I think until a breakthrough happens or the fabs catch up, it'll be this painful race to build more datacenters.

That's when you go a level deeper and have every template use another template (e.g. a Helm subchart or Helm library) only to realize scoping and templating is completely fucked in Helm.

I've wanted to make something like this myself, so thanks and good job!

How does this work? Does it rely on GPT to extract the data or does it actually generate a bunch of selectors? If it's the former, then the results aren't reliable since it can just hallucinate whole results or even just parts.

And they would've found it, because it wouldn't be hidden.

Just put them on a train during work hours! We have really good coverage here but there's congestion and frequent random dropouts, and a lot of apps just don't plan for that at all.

Agreed. Generally just avoid jargon when you aren't sure the reader knows the lingo.

"Permissions" seem too specific a term to use as a general term. It's something I'd use to describe the specific rights a role may have in role-based access control, and not authorization as a whole. I'll stick to authn/authz for abbreviations, auth for both or if it's not specific, and if it's for documentation or cross-department communication I'll just write the whole word.

> I didn’t even know Kagi had this “problem” and so I guess I just don’t see it as a problem.

Took me a while before I actually realized this limitation as well. I started noticing it when I was searching for things I didn't know exactly how to find.

Kagi is great for when you know exactly what to find and have a general idea of where, but when you actually need those n-page results to help you refine your search, and you can't, it's a showstopper for me.

I'm not even sure why it's a limitation. It might not be intentional?

> The other search engines that produce More results just pad those results with noise.

Yeah, that's been an increasing problem.. Google has been especially bad with this for a while now.

When I tried to search for something where I wasn't sure exactly what I was looking for, I could only change my query so many times until it stopped being what I wanted.

It also can't fetch more than 2 pages of results for either web or image search. Reverse image search just straight up doesn't work. I don't know why they have it.

With searxng, searching at least works. It also has plugins that I think can do some of what Kagi is useful for (but it depends on the instance)

One thing I haven't seen discussed is the thermal properties of this expected Ti-6Al-4V alloy.

According to these specs, the alloys thermal conductivity is 6.7 W/m-K: https://asm.matweb.com/search/SpecificMaterial.asp?bassnum=m...

Whereas 6063-T6 aluminium has a thermal conductivity of 200 W/m-K: https://asm.matweb.com/search/SpecificMaterial.asp?bassnum=M...

Even if the alloy in the iPhone is a bit more of an exotic blend, won't it still impact the cooling ability of the phone quite significantly?

> v0.0.6

eh, I think I'll wait..

I think it's the remnants of Picasa Web. The web UI looked similar to me to the web UI they had for that in the years after.

Wasabi does not have any sort of unlimited bandwidth. In fact, they explicitly say that if your download exceeds 100TB/month your use case is not a good fit. https://wasabi.com/paygo-pricing-faq/#free-egress-policy

> It’s why I think TypeScript is the language of infrastructure-as-code.

What? Since when?

Edit: Did a google search for "infrastructure as code typescript" and this persons blog is one of the first results, where they talk about the new cloud development kits which are made to support different languages out of the box....

https://i.imgur.com/jozV24f.png