Haven’t tried Gemini; may work. But, in my experience with other LLMs, even if text doesn’t exceed the token limit, LLMs start making more mistakes and sometimes behave strangely more often as the size of context grows.

This is more complicated than some corporate infrastructures I’ve worked on, lol.

I usually just use VS Code to do full-text searches, and write down notes in a note taking app. That, and browse the documentation.

Nah, LLMs have severe context window limitations. It starts to get wackier after ~1000 LOC.

Python is quite slow, so will use more CPU cycles than many other languages. If you’re doing data-heavy stuff, it’ll probably also use more RAM than, say C, where you can control types and memory layout of structs.

That being said, for services, I typically use FastAPI, because it’s just so quick to develop stuff in Python. I don’t do heavy stuff in Python; that’s done by packages that wrap binaries complied from C, C++, Fortran, or CUDA. If I need tight-loops, I either entirely switch to a different language (Rust, lately), or I write a library and interact with it with ctypes.

C# is actually pretty nice. Ecosystem, not so much, but D doesn’t really have one anyways :)

Yeah, the image bytes are random because they’re already compressed (unless they’re bitmaps, which is not likely).

If you’re talking about naive bayes filtering, it most definitely is an ML model. Modern spam filters use more complex ML models (or at least I know Yahoo Mail used to ~15 years ago, because I saw a lecture where John Langford talked a little bit about it). Statistical ML is an “AI” field. Stuff like anomaly detection are also usually ML models.

OSMC’s Vero V looks interesting. Pi 4 with OSMC or Librelec could work. I’m probably going to do something like this pretty soon. I just set up an *arr stack last week, and just using my smart TV with the jellyfin app installed ATM.

My PC running the Jellyfin server can’t transcode some videos though; probably going to put an Arc a310 in it.

I’ve been using last.fm for, I guess, decades now. Looking at what my “neighbors” are listening to is the most helpful.

I’ve used them as a proxy for a web app at the last place I worked. Was just hoping they’d block unwanted/malicious traffic (not sure if it was needed, and it wasn’t my choice). I, personally, didn’t have any problems with their service.

Now, if you take a step back, and look at the big picture, they are so big and ubiquitous that they are a threat to the WWW itself. They are probably one of the most valuable targets for malicious actors and nation states. Even if Cloudflare is able to defend against infiltration and attacks in perpetuity, they have much of the net locked-in, and will enshittify to keep profits increasing in a market they’ve almost completely saturated.

Also, CAPTCHAs are annoying.

Yeah, torrents usually run 100-300KiB/s. I guess not too bad for smaller files. About an hour or three per GB.

I mean, you can be sued for anything, but it will get thrown out. Like, I guess the MPAA could offer a movie for download, then try to sue the first hop they upload a chunk to, but that really doesn’t make any sense (because they offered it for download in the first place). Furthermore, the first hop(s) aren’t the people that are using the file, and they can’t even read it. If people could successfully sue nodes, then ISPs and postal services could be sued for anything that passes through their networks.

I think similar, and arguably more fine-grained, things can be done with Typescript, traditional OOP (interfaces, and maybe the Facade pattern), and perhaps dependency injection.

Onion-like routing. It takes multiple hops to get to a destination. Each hop can only decrypt the next destination to send the packet to (i.e. peeling off a layer of the onion).

https://youtu.be/YAD0a6wWFrI?si=9Wrqg5fOmZD9eA7j

Hmm, so looks like around 100kB/s. That’s about what I remember (100kB/s - 300kB/s).

I’ve recently been trying out Tribler, and it’s much faster than the last time I tried it (I’ve seen 2MB/s on popular torrents, but around 500kB/s on less popular). Not sure if there are simply more exit nodes with more bandwidth now or if there are more people on the Tribler network seeding.

According to the docs there’s some kind of search functionality built into it: https://github.com/BiglySoftware/BiglyBT/wiki/MetaSearch

Off-topic: I haven’t tried i2p in years and have never used BiglyBT. Out of curiosity, what download speeds are you seeing?

I like the Turris Omnia and (highly configurable) Turris Mox. They come with OpenWrt installed.

IDK, looks like 48GB cloud pricing would be 0.35/hr => $255/month. Used 3090s go for $700. Two 3090s would give you 48GB of VRAM, and cost $1400 (I’m assuming you can do “model-parallel” will Llama; never tried running an LLM, but it should be possible and work well). So, the break-even point would be <6 months. Hmm, but if Severless works well, that could be pretty cheap. Would probably take a few minutes to process and load a ~48GB model every cold start though?