I went through a period of trying to combine my laptop and desktop workflows (through shared directories behind a VPN and such), but in the end I've settled on docking my laptop with a Thunderbolt cable.
The previous owner of the Paint.net domain erred in hosting information regarding Paint.NET, which was evidently misleading enough to win dotPDN LLC a domain squatting suit.
> The previous owner of the Paint.net domain erred in hosting information regarding Paint.NET
The ones who had displayed a link to getpaint.net was a legitimate paint company.
Some time after 2012, the domain name was acquired by another entity (associated with a "domain investor"), which allegedly turned the website into an imitation of getpaint.net in 2025, allowing the developer to file a successful lawsuit based on trademark infringement.
They removed the global shortcut to show a portable chat overlay. That one entrypoint must've been the source of at least 80% of my chats, yet apparently it was considered too vestigial to keep.
Haven't looked at the code, but it's unclear from your ReadMe how you turn search queries into embeddings for the semantic search itself. In my experience, this is the problem to solve for local semantic search, since your stored embeddings need to be aligned with the queries (the more expressive your stored embeddings, the more expensive each query will be; your question generation pipeline does not address this). Correct me if I'm wrong though.
I bought a 3-meter long USB C cable from them for data and display transfer, which turned out to be the only USB C cable of that length capable of driving my display at its full resolution and framerate. However, after a year of use, it stopped transferring any sort of data. So while they're probably up to spec, the quality isn't necessarily what their pricing may suggest.
Support allowed me to send it back for replacement as a "one-time exception", though I was well within the common 2-year warranty period in the EU.
This post title is much better. Personally, I dislike how research papers have to beg for legitimacy with word soup. I'd much rather read something in plain language with qualifiers added further in.
This is very good. Super snappy and gives me what I'm looking for. Great write-up too.
How much more would it cost to use a multilingual tokeniser? I realise this is somewhat pointless for an English blog, but services like Uber Eats have something like that going on (server-side of course, and they may just be translating queries).
It’s gets much larger (there’s the potion-multilingual-128M model, distilled from bge-m3 which has like 100 languages), so it gets to ~120m range for the lookup table (4x smaller if you’d do int8 quantization, so you could get to to 30-35mb).
reply