It doesn’t make sense which is why people believe Google has ulterior motives. I haven’t seen any real reason not to use jxl as the new format; but I also haven’t looked that far into it. ¯\(ツ)/¯

You might have grabbed the wrong iso. There are two ISOs for Ubuntu, one is desktop which comes with a desktop and the other is server which only comes with a text console.

You can install a desktop onto a server image if necessary, however I would recommend just using a desktop iso and don’t bother with adding on and setting up all the desktop software.

If you want to be able to select text, copy and paste, I just SSH from Windows Terminal or Mac iTerm2

Alternatively if it is a desktop iso then you might have accidentally installed a package that broke things or have gone a tty interface. There’s so many different possibilities it’s going to be hard to help more.

Future of AI is definitely going towards Manager/Agent model. It allows for an AI to handle all the tasks without keeping it to one model or method. We’re already seeing this with ChatGPT using Mathematica for math questions. Soon we can see art AI using different models and methods based on text input.

Exactly? From an iPhone users viewpoint the android phone is forcing them to use sms. I go on to say Apple is to blame.

I’m pretty confident the blue and green colors have nothing to do with it. It’s simply the difficulties of using sms (or at least how Apple implements sms). iMessage allows much higher quality videos/images to be sent and enables group chats to be dynamic where people can be added and removed at will. On iOS sms group chats have to be made with every member in it at creation, if you want to add another person or remove a person then you have to make a whole new group chat. Compound this with iPhone dominance in North America it often presents an annoyance where the single android user forces all the iPhone users to use sms and all the difficulties/reduced features it comes with.

WhatsApp, Telegram, and whatever chat app isn’t used in NA because it’s just harder to convince someone to download and make an account. Why should a user download another chat app? Why isn’t iMessage (sms) app good enough? Usually I’ve seen people just use instagram to chat with android users because sms is just so bad (at least on iOS, I’ve heard some things about how android works around the limitations).

Yes Apple could implement better sms features but they won’t.

So don’t just parrot “it’s because of the colors” it’s most likely due to users association with past experiences of “green chat bubbles”.

Apple is still to blame here but it’s not because users are scared. Most iPhone users or phone users in general just want it to work and never think about what features they’re missing. Asking/convincing someone to download yet another app and set up yet another account to yet again be spammed by emails, texts, phone calls is just too much for a majority of people who are used to the simplicity of iMessage. It comes with your phone, you make a single Apple account, and it just works™.

Wait it’s been 4 years? Time really goes by. Yeah with most Ai things I assumed those with more time and resources would create better models. OS Ai is at a great disadvantage when it comes to data set size and compute power.

I don’t have examples but having listened to some samples of various Ai generated clones (the one paper had samples of I believe 10s, 30s, 1min, 5 min) and all of them progressively sounded better. The 10 second one basically sounded like a voice call whose bit rate dropped out mid word. And the voice so long as you used words that were similar in phoenix sounded pretty close. Although this is just my experience, but to you it might sound pretty bad while to me it sounded pretty reasonable if under bad audio conditions.

https://github.com/CorentinJ/Real-Time-Voice-Cloning

This is the main one I’ve seen examples of. You’ll have to find the samples yourself, I believe it was in the actual paper?

Yeah a bit confusing at times but overall very cool and informative, thanks so much!

Interesting I hadn’t thought about how the reduced image size could allow for more data throughput overall. Also great to hear that’s it’s similar or lower processing required. Although I’m not sure what tuned for parallel I/O means? Do they split the data into subgroups so multiple threads can process it at the same time?

Hmm, I haven’t delved into image training in a couple years so I’m assuming they still downscale images anyway, so I’m not sure how much the format helps? Do you know if better compression helps at lower resolution? I could see it helping but I could also seeing it be marginal gains and depending on processing time it might not be worth it to convert whole image sets to jpeg xl. And for performance does jpeg xl require less power/time to decode than other formats? Maybe for new image sets going forward it will be the standard.

It is when you’re a cloud hosting platform and you have 1000’s of photos uploaded daily. That 44k saving scales massively when talking about cloud hosting platforms. The jpeg xl format license is more open than webp which is controlled by google.

The new format also enables more features than just file size, a quick google shows it supports animation, 360 photos, and image bursts (as well as more technical specifics that allow for better share ability without needing to have an accompanying json file or dropping to RAW).

This is more important because it means websites can embed photos and the web engine whether it be chromium, Firefox, or safari can handle it natively without needing JavaScript or some other intermediary.

What about png? It’s just another competing standard. At the end of the day it doesn’t really matter, but by not having competing standards we end up having one company controlling it. So since at the very least it gives a decent file size saving it’s good enough for me.