For those who are want something similar to invidious, you can try youtube-local (not my project, I am just a user). It is a minimal python youtube client, and functions similar to other frontends, but runs locally. You lose some amount of privacy (youtube still has a general idea of who is watching with IPs), but it is not very exact, and there is an option to use tor to get the content. You can also enable sponsorblock, or hide yt-shorts.

I have a question, what are you exactly seeking to repair?, like if you have a good working laptop, and if it gives good performance, then there may not be much need of repairing. One of the reasons for getting repairable hardware is that they last long, like I have laptops which are 13 and 7 years old, and they both “work”, batteries are dead, and replacements are not good, but other than that fine machines. If your laptop is not very flimsy, you may not even need an upgrade for a long time.

well even a raspberry pi would be enough, except for ML

depending on what exactly in ML, and what our the sizes of datasets involved?, like i did some work, but for me 8 GiB RAM was enough, but if you want to do larger databases, you would need somewhat good GPU (essentially large matrix multipliers) with plenty of VRAM

I recently wrote my thesis in typst, best choice i could make

see when i started viewing youtube (2018-19), i had poor internet connectivity, and naturally started with 1080p, but my stream would stutter, so i started to decrease quality 1080>720>540 and so on), at same time, i started to watch stuff at higher and higher speed (normal is 2.3x for me now), and i realized i was not getting anything more by watching at higher res (i increase it to 360-480 sometimes if there is very small font, but rare), so i naturally grew to watch stuff at 144p, now i have good enough connection to watch maybe smooth 2x 4k (sometimes i get 200 Mbps) all the time, but never feel the need to do it (i have set mpv, yt-dlp, all my other video players, to have default res of 144 (or whatever the lowest they serve))

until last year, i used to watch youtube with “3gpp”, they used to serve at 144x192 (so 4x3) at ~7fps, which at the usual speeds i watched, seemed pretty good (audio bitrate was roughly 15-20kbps), and was legitimately sad when they stopped doing that, i could no longer have a 10 min video under 5 MiB (with audio)

I used to maintain an archive of content i liked which was almost exclusively self compressed low bitrate x265, and only recently have started to save 720p-1080p (still plan to compress most to 720p AV1 at reasonable bitrates

I usually do not comment but i was weirded out with the file count (i know it is just a meme, and not serious, but lets assume that), then average file size is

28.9*1024MiB/14690 = 2.014540504MiB

(this assumes it is a standard windows install where windows counts in binary system, and represents with decimal units, but even if it actual GBs and GiBs, the error is small)

lets assume it is 144p (i usually watch yt at that), and lets assume you have it all in great cpu AV1, and lets take a typical yt bitrate at that quality (and lets assume its video only) 100 kbps

then average duration of a file is

2.014540504*1024*8kb/100kbps = 165.0311581s

so that is a little less than 3 mins (assume video bitrate stays constant throughout, which is definitely not true but easy to calculate)

and just for completeness, lets calculate the amount of total time to “watch’m all”

165.0311581*14690/(60*60*24) = 28.05911704

so that is a little over 28 days (i was expecting less, but then again, just a meme)

Edit: i left out the possibility of images, if that is the case, it is technically 0 time, but at the same time, a good JXL 2 MiB image is pretty good quality