Compute becomes cheaper and larger undertakings happen. LLMs are huge, but there is new tech moving things along. The key part in LLMs, the transformer is getting new competition that may surpass it, both for LLMs and other machine learning uses.
Otherwise, cheaper GPUs for us gamers would be great.
It’s a link to an image on github not sure why it doesn’t work for you. Try just looking at the repo then:
(Windows only warning, unless someone wants to add Linux support)
I didn’t really search around for GUIs way back, but ended up making a basic GUI because I wanted to learn programming.
With just having options as checkboxes for YouTube-dl. It has served me well all these years. It was literally the thing I made while learning programming so the code is pretty janky when I look back at it though…
Quick google shows that Kanban is a method. Mainlu around picking up things as the come, but also limiting how much can happen at once.
The project I’m has a team that uses Kanban for the “Maintenance” tasks/development, take what is at the top of the board and do it. Adapt if higher priority things comes around, such as prod bugs. Our developments teams are trying to implement Scrum, where interruptions are to be avoided if possible during sprints. You plan a sprint, try to do that work, and can present it, and iterate when users inevitably changes criteria.
In the meme, kanban does somewhat make sense, since getting armrests is never going to get a high priority as part of building a rocket. Scrum isn’t exactly right, but I can see where it’s coming from. They are all agile methods though.
I kinda get where he is coming for though. AI is being crammed into everything, and especially in things where they are not currently suited to be.
After learning about Machine learning, you kind realize that unlike “regular programs” that ML gives you “roughly what you want” answers. Approximations really. This is all fine and good for generating images for example, because minor details being off of what you wanted probably isn’t too bad. A chat bot itself isn’t wrong here, because there are many ways to say the same thing. The important thing is that there is a definite step after that where you evaluate the result. In simpler ML you can even figure out the specifics of the process, but for the most part we evaluate what the LLM said or if the image is accurate to our expectations. But we can’t control or constrain the output to exactly our needs, because our restrictions largely are just input in a almost finished approximation engine.
The problem is, that companies take these approximation engines, put them in their product and consider their output fact. Like Ai chatbots doing customer support, and make up facts like the user that was told about rules that didn’t exist for an airline, or the search engines that parrot jokes or harmful advice. Sure you and I might realize that these things come from a machine that doesn’t actually think about it’s answers, but others don’t. And throwing a “*this might be wrong because its AI” on it is not an acceptable waiver of accountability.
Despite this, I use chatgpt and gemini a lot to help me program, they get a lot of things wrong but also do great. It’s a great tool, exactly because I step in after the approximation step, review and decide. I’m aware of the limits. But putting these things in front of “users” without a review step means you are advertising that you are either unaware of this flaw, or just see the cost-benefit analysis and see that if noting else it’ll generate interest during the hype.
There is a huge potential, but throwing AI into a situation where facts are needed when it’s only making rough guesses, is the wrong way about it.
I use phone every day at office so I don’t need to get the wallet out of my jacket when going to the canteen to buy lunch. It’s literally the reason I started using my phone to pay. Too many times I forgot my card…
Easily achievable if you only take calls in working hours. Then all working hours will have more than average calls per hour for a day.
A lot of external drives are just internal devices with another controller and casing around. I had a 4TB I used with my laptop, and tore apart the casing and just plugged it into my desktop when I built one. Unless you start hammering the external case around, the drive will be fine.
Pretty sure that site is satire, iirc with some right leaning bias but my memory is vague.
So it’s political ads, but at least fake politics :P
Pretty much anything in katakana in Japan is loanwords.
Very interesting about flew markets though, Norway is the same as Sweden here.
I’m in the MPC-HC gang on Windows. Just so much more practical than other players. The main selling point was that full-screen the controls go away once you move the cursor off them, it was amazing. And no waiting for subs to be processed like VLC had to back then, never turned back so don’t know if that is still a thing.
I made do with my IDE, even after getting a developer job. Outside shenanigans involving a committed password, and the occasional empty commit to trigger a build job on GitHub without requiring a new review to be approved, I still don’t use the commandline a lot.
But it’s true, if you managed to commit and push, you are OK. Even the IDE will make fixing most merges simple.
I don’t have this issue, except once when I got my first desktop connected with wired internet. Turns out, yeah the wired internet (or the adapter/driver) can actually wake the computer… Turned it off and been mostly problem free from wakeups.
Here's a little article which highlights jxl well. https://chipsandcheese.com/2021/02/28/modern-data-compression-in-2021-part-2-the-battle-to-dethrone-jpeg-with-jpeg-xl-avif-and-webp/
I do not think it's mentioned there, but I think webp and also it's indirect successor avif afaik, both lack progressive loading which is not optimal for website loading. It's has incremental loading which I think is akin the the old dial up time of loading top to bottom row for row. They proclaim progressive decoding is costly on memory and cpu, but progressive gives the best user experience imo.
Lastly a fringe issue, re-encooding multiple times. The good old reason why jpgs turn into trash over time because people encode instead of save images. Or because sites re-encode when uploading. Jxl wins here. It also is very easy to see why jpg turns into what it does rather quickly.
https://www.reddit.com/r/AV1/comments/ju18pz/generation_loss_comparing_jpeg_webp_jxl_and_avif/
All of them are OK, except mkv is less a file type and more a container. What should be specified is the code for video, which for most things I'd say AV1, but high res movies might not be the most suitable. Throw in opus for the audio track, and you can use mkv, but might as well use webm anyways since it's more clear what's behind it. (though can still be other things)
I'd also add that jxl should be the standard for lossy images. Better than jpg. And you want something other than png for massive images because that quickly gets costly in terms of size due to png being lossless.
It’s fun with screenshots, you save it and realize, you didn’t check what path it saved to because you (read: me) always puts downloads in the Downloads folder by default. It’s the last place you saved an image, shouldn’t be too hard? Just gotta find an IMG_something either in user photos or documents usually. And then fail to do so, and do a walk of shame back and try save again just to see where it actually ended up…
I do love Everything though, it’s amazing and I constantly use it for looking for things. I know names at least partially, and that does it 99% of the time. Sorting by Path also makes it very easy to navigate when you get a lot of hits. Just a pro-tip to those yet to learn of that power.
How about clicking a document link, and they fucking put Word as a tab inside Teams, just so Teams can be even more bloated and make viewing documents a pain. Teams have come a long way from when I started my job, now it’s not a dysfunctional mess, but things like that still annoy me.
Skimmed comments, but if you download and manage your music on your own on a machine you can have a super simple setup like I do. All music is synced using Syncthing to my phone. So my phone gets local storage, and then I use Poweramp (android) to play it.
I pretty much have a folder for all the music though. But I assume you can sort music into folders to have them as playlists. But perhaps not as practical as desired.