I looked into using homebox myself, but ended up using Grist instead

Also nice to see another nushell user

It’s interesting how certain companies and organizations have such large ranges, 16m IP’s each for both that old printer company and a farmaceutical company is a lot. It really shows the history of the internet and how seemingly certain companies that adopted it first ended up with huge chunks of the available IPv4 space.

Better than that

Haven’t used Claude code myself, so I wouldn’t know, but a commit to delete only a comment is indeed pretty weird, also most of the commit messages are the GitHub default like “Update gui.h” which is also a bit odd.

Looking at the GitHub repo it seems like the first commit was actually just 2 weeks ago and contained 12k lines. I can’t spot any AGENT.md files, but it does feel like the author quite new to this. That could be explained by them being 16 though like they say on their profile.

Deepseek recently published a paper in which they describe that vision tokens contain more information than text tokens and that this can be used to compress context.

We present DeepSeek-OCR as an initial investigation into the feasibility of compressing long contexts via optical 2D mapping.

Experiments show that when the number of text tokens is within 10 times that of vision tokens (i.e., a compression ratio < 10×), the model can achieve decoding (OCR) precision of 97%. Even at a compression ratio of 20×, the OCR accuracy still remains at about 60%. This shows considerable promise for research areas such as historical long-context compression and memory forgetting mechanisms in LLMs.

It reminds me of LLM caveman speak, it used to have another option to use Chinese instead of English. A language like Chinese is seemingly better at encoding information in fewer tokens and I think this is the same mechanism why OCR tokens work so well.

That said, I also doubt that voice messages are more efficient than text prompts, but it’s best not to waste too much time engaging with these sorts of LinkedIn posts (and LinkedIn in general).

It’s being downvoted with relatively little discourse because it’s an insult with no relevance to the topic, in addition to supporting a comment from someone who is either trolling or has no idea what they’re talking about

This does not seem convenient at all, from the bash script to get relative links, to the file tags which are not synced across devices by standard git or file sync.

It’s interesting that the people who claim to avoid politics being prioritized over technical merit in a project, usually end up doing so themselves. Nobody else cares about whether their Linux Distribution is “woke” (whatever that means) or not. NixOS is innovating with declarative configuration, Bazzite makes itself accessible to a whole new demographic, Debian continues casually maintaining global digital infrastructure and meanwhile in contrast, some are hunting for rainbows.

Have you tried Tweakers Vraag & Aanbod yet?

It’s not that bad. A lot of our servers at work use Windows. It certainly took some getting used to as someone who has been using Linux on all their devices, but it does work.

Great choice, using some of that VC money for things that actually benefit the world

Go seems like a good option to begin with; you can do a lot with it, and it’s not that complicated but does expose you to concepts like pointers.

There are plenty of very “serious” systems written in Go (e.g. Kubernetes), it’s not a toy language.

I’d say go ahead but make sure it produces accurate enough results and make sure to add something like [AI Transcribed] in front so people can take the potential for additional errors into consideration when reading it.

Also, if you’re using an online service make sure you’re using something that doesn’t use it as training data. Many (probably almost all) artists / photographers won’t appreciate that.

Almost all OCR tools use machine learning AFAIK, the commonly used Tesseract OCR software also uses a neural network.

It certainly isn’t AGI, but AI just means machine learning nowadays.

Perhaps Kopia? It supports compression and deduplication.

Well, they already use Bugzilla. Although I personally do not find it particularly intuitive to use.

cm0002 meant it with /s

It would make it easier for people to find if a bug has already been reported, which is what Torvalds mentions as being a problem.

E.g. when you have a proprietary program that is only available on x86, but you want to run it on ARM.