BehindTheBarrier

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BehindTheBarrier ,

I actually decided to use avif on my project. But both this and webp is as fast as I know, not supported in any default image viewer on windows. Which is rater annoying, but I moved on to better programs for tgat anyways.

Avif is second to jxl though, some of the downsides of being a video format is that you loose progressive loading (only top to bottom iirc), degrades on re-encodes, and some other things I can't think of. Avif gets a win because if you have a av1 decoder you already have a avif decoder too! But since it is a video frame essential there are some downsides since some image specific features can't or won't be added.

BehindTheBarrier ,

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.

BehindTheBarrier ,

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.

Am I the only one preferring low quality media over high quality one?

I have a very slow Internet connection (5 Mbps down, and even less for upload). Given that, I always download movies at 720p, since they have low file size, which means I can download them more quickly. Also, I don't notice much of a difference between 1080p and 720p. As for 4K, because I don't have a screen that can display 4K,...

BehindTheBarrier ,

Completely true, but also compression can make anything bad. I've seen 480p better 1080p simply because the 480p was using more bitrate, where the 1080p is encoded without enough relatively speaking.

BehindTheBarrier ,

It is not a defense of the manufacturers, but EVs are still damn expensive to make. And they are completely at fault for that too, because everyone except Tesla dragged their feet about making the EV transition.

BehindTheBarrier ,

The simplicity of Google Photos has me still rolling with that.

But for all my music, syncthing is the best. In my case it's synced to my phone though, and also backuped up from that to the cloud.

BehindTheBarrier ,

Python, C#, Rust

Used a bit of C++ and Matlab, but saying I know them is a stretch really.

BehindTheBarrier ,

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.

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