like find a video where you commented from peertube, and the same link was posted on piefed, and there your comment shows up in grouped view (from all crossposts)

can you try to find your peertube profile in a piefed post? if so, there you can check user profile, cause effectively all peertube videos are posts in piefed (threadiverse land).

i tried doing that, and found my profile at https://piefed.social/u/sga@peertube.wtf, so maybe just do a simple url check. you will only get videos you commented on and not likes

That would be great if it works on redmi stuff. Basically my last blocker (outside of some banking stuff, which i do not even have installed right now)

as someone who is doing some kind of science - titles are a lot more fancier and designd for absurdity. Often, the decision to perform something is a lot more logical than dciding random animals to test from. for example, some of the people from their group may already have been studying that specific frog line for some reason (maybe for it’s gut only), for example, they may have observed that these frogs live a long life or something, then they decided to find why is that, and may hav ecome to conclusion that it is this gut bacterium. or maybe they may hav eknown of this bacterium, and found out where they could source more of this.

but sometimes, it is totally random luck, lik you accidentally messed up experiement, and spilled some unrelated gut juice from a frog from a separate experiment, and it just so have happened to worked, so you now studied it closely.

I have absolutely no idea what may have happened in this one, and i am not a biologist, so do not know what is the usual way, but it is usually among these.

roughly in the same boat as you, but all i would say is - if it is something meaningful (like educational, pop sci, or if entertainment, then healthy kind (and not so 1 $ vs 1000 $ thing comparison)), then it is fine. If you are still able to reason, still able to maintain focus on important stuff, then it is fine.

You can install a browser eextension (i think name is kiwix only) which can load offline zim files. problem is that ux is very bad (you need to load a zim file each time, or manually change). on desktop, my answer was to manually unpack all zim files (using zimutils) and then arrange them in a controlled dir structure, then recompress them into a mountable file format, and separately, maintain a list of all files in side, and while using, i have something hand rolled to mount the archive, select suitable file, and open in browser - yes it is a lot of work, but i do kinda have a offline search engine now.

as a mod - that is too demeaning of others

as a general person - (agrees)

(having an internal conflict if i should upvote or not)

gives me a good reason to say why i do not use bash

I am interested in it, because i have 3 package managers, arch, uv and cargo (binstall) so this covers me well hopefully.

i rarly use it, mostly to do sentiment/grammar analysis for some formal stuff/legalese. I kinda rarely use llms (1 or 2 times a month)(i just do not have a usecase). As for how good, tiny models are not good in general, but that is because they do not have enough knowledge to store info, so my use case often is purely language processing. though i have previously used it to do some work demo to generate structured data from unstructured data. basically if you provide info, they can perform well (so you can potentially build something to fetch web search results, feed into context, and use it(many such projects are available, basically something like perplexity but open)).

i saw a parrot a few days ago. not my first time, but i do get happy seeing them. practically all animals

adding to this comment, the best way that we currently know how to extract this energy is using spinning black holes, with theoretical efficiency of ~42% (answer to the universe)(src: a minute physics video precisely on this). the naive solution to just touch them gets like 0.01-0.1% of total energy, so in bad case, we need trillion years.

technically, it uses a lot of energy (depending on how much the blade weighs). it is not electrical energy, but gravitational potential energy

i agree with yt commenter - the video aged very well

pretty much this. I use smolllm (a 3B param model, trained only on openly available datasets)

further clarification - ollama is a distribution of llama cpp (and it is a bit commercial in some sense). basically, in ye olde days of 2023-24 (decades in llm space as they say), llama cpp was a server/cli only thing. it would provide output in terminal (that is how i used to use it back then), or via a api (an openai compatible one, so if you used openai stuff before, you can easily swap over), and many people wanted a gui interface (a web based chat interface), so ollama back then was a wrapper around llama cpp (there were several others, but ollama was relatively main stream). then as time progressed ollama “allegedly enshittified”, while llama cpp kept getting features (a web ui, ability to swap models during run time(back then that required a separate llama-swap), etc. also llama cpp stack is a bit “lighter” (not really, they both are web tech, so as light as js can get), and first party(ish - the interface was done by community, but it is still the same git repo) so more and more local llama folk kept switching to llama cpp only setup (you could use llama cpp with ollama, but at that point, ollama was just a web ui, and not a great one, some people prefered comfyui, etc). some old timers (like me) never even tried ollama, as plain llama.cpp was sufficient for us.

as the above commenter said, you can do very fancy things with llama cpp (the best thing about llama cpp is that it works with both cpu and gpu - you can use both simulataneously, as opposed to vllm or transformers, where you almost always need gpu. this simultaneous thing is called offloading. where some of the layers are dumped in system meory as opposed to vram, hence the vram poor population used ram )(this also kinda led to ram inflation, but do not blame llama cpp for it, blame people), and you can do some of them on ollama (as ollama is wrapper around llama cpp), but that requires ollama folks to keep their fork up to date to parent, as well as expose the said features in ui.

in some sense, it is not small, the gate requires 1 or 2 people to look over, they are looking at cost of paying 2 people. Not saying it is good, and evil is too hard for me, but they certainly want to push us to not use the gate.

try to use it with llama cpp if you folks are interested in runinng locall llms - https://github.com/ggml-org/llama.cpp/issues/9181

the issue is closed, but that is not because it is solved, check it out, and find link to your relevant hardware (amd or intel or something else), and see if your particular piece is available. if so, you have hope.

in case it is not, try to find first party stuff (intel vino or intel one or amd rocm stack, and use that with transformers python or see if vllm has support).

also, try to check r/localllama on the forbidden website for your particular hardware - there is likely someone who has done something with it.

Not me personally, but at mu uni, a small gate which lead to nearest subway station and saved about 2-3 mins as opposed to going the longer route receently started requiring a entry at exit. A record entry at arrival kinda makes sense, because uni premises are generally treated as a “safe space” and I am not currently speaking of surveillance nature of this, that is a separate discussion. they require a entry at exit. Which does not make sense for many reasons - almost everyone inside is there for some reason, so what is the point of asking for this. students/staff have a pass to get in without entry just by showing pass from afar, but they are not even accpeting that. Their reason - apparently admin wants to close that door (because it is a door, someone needs to keep watch of it), so they want a record of how many people use it. and instead of doing a simple counting, or using the already nearby cctv cams to get rough headcount, they want people to register themselves going out - defeating the main point of that door - it was quicker. Now it takes just as long (there is a queue now as people have to wait for others to finish registering themselves. I timed myself going the longer route, and if i would have stood there, i would have taken longer. It to me is absurd.

but did euler really try hard enough? my conjecture leaves out just enough room in it’s current form to become unfalsifiable.

on a more serious note, at least 1 part of my reasoning was that someone will give examples of instances where euler was not successful, and the fact that we had to come up with a relatively recent solution, it really puts feathers to euler’s hat