Or given the number of unscanned books, even just give it the controls for a book scanner, the books and probably some robot arms. Then let it figure out the scanning first in some layers. Shouldn't be that hard.
Right... but I don't see how that means that it doesn't fall to the bitter lesson.
The bitter lesson is not saying that the model will always relearn the same representation as the one that has been useful to humans in the past, merely that the model will learn a better representation for the task at hand than the one hand-coded by humans.
If the model could easily learn the representation useful to humans, then it will fall to the bitter lesson because at minimum the model could easily follow our path (it's just an affine transformation to learn) and more probably will learn very different (& better) representations for itself.
Not sure about this, but training a model on the website that displays the code is not quite the same as training it specifically on just the code. Moreover, (raw) repo content files might not even be included in crawled datasets (e.g., look at https://gitlab.com/robots.txt). I think there is something specific to GitHub as it being part of Microsoft that makes processing that data much easier.
Thanks for the compilation! Yes, it's a very small and helpful simple idea.
However, none of the projects you linked is a combination of 100% shell & the UX I was looking for, which is a reason why I've decided to share mine.
It certainly hasn't for mundane tasks like browsing the web or playing simple games. I recently bought a 10 year old 21,5 inch iMac for my kids for around the price that a same sized, also full hd, brand new screen would cost. Only that screen doesn't come with built-in i5 CPU, SSD, Gigabit and AC networking. It replaces a 2011 Macbook Pro only because I want something stationary for them and not something they get tempted to lug around and drop on the floor. Apple doesn't allow the latest OS's to be installed (though there are ways around that[0]) but I haven't felt the need for it.
So unless you need raw performance or extreme power savings because you run your device 24/7 there should be no need to get the latest and "greatest".
The majority of phone users use zero features - with the possible exception of the camera sensor - that where not also available at very high quality in 2013.
For phones, I currently see zero reason for further hardware upgrades.
This! And I thought I'm just too stupid to use this search, ha! Search is hard, for sure, but come on. But you actually reminded me to just use Google Dorks for that with inurl:https://f-droid.org/packages/.
There was some information only recently on HN about reversing those Electron Shelf Labels [0] that was quite interesting, but your comment makes me wonder if you could eavesdrop these wifi price updates in such stores. Also, searching for that term on HN gives some other fun projects.
Is that really practical? In the video it looks not very useful to me as it does not seem to be very efficient. The mouse is so integrated into MacOS it looks hard to efficiently replace it. Are you or is anyone else actually using this regularly?
Also, I think the other mentioned alternatives look quite similar to that regard.
I use caret mode, visual selection and P quite often to search for the text in visual selection in a new tab with the preferred search engine. I also like yf for yanking a link to clipboard.
Cool, I like the idea and I actually use this feature a lot in Google Podcasts.
However, I believe there is a way to do this with a single ffmpeg command. I remember watching lecture videos with higher speeds wondering about the huge amount of silence that made it still pretty annoying. I didn’t find anything simple to trim silence on audio and video combined and finally only listened to the audio with trimmed silence using ffmpeg.
It didn't say so in the post but I suspect 8GB RAM were just not enough and an upgrade was necessary anyway? And future upgrading was mentioned. In my opinion this is a valid point actually and should be very much considered when buying any of the modern all-fixed-no-upgrades machines, I mean its not just the Apple machines.
I've used an 8GB M1 Air for the past 2 years and it's totally fine. My brother got the 16GB and there is no noticable difference in performance for any of my usual apps.
Going from 8GB -> 16GB in an M1 just doesn't make much difference, except perhaps for a few specialised apps that require a ton of VRAM.
