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.

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.

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.

Working on a blog(entirely for fun), found out the server backend, actix-web, does not handle early termination of a stream well. Wanted to stop an upload if the file size turned out to be too large, but you have to consume the entire upload before returning an error. If not the client will never see the connection close. I guess there is a way to check the size beforehand, but sucks that you can't stop a stream in progress.

Apparently a long standing issue.

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.

I'll take any birds like that, hell even crows, but I got seagulls and they scream from the top of their lungs at 5am.

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.

New car smell, it's awful. Sort of stale plastic if I were to describe it.

Amplified by long trips on bad roads as kid. Guaranteed to make you feel like vomiting on some sections. Now when I anticipate/pack for a trip I tend to smell that again even though I'm not even in a car.

It's not that universal, but we have named a few things "Engines", for example Balancing Engine. We also use services, but they are actually independent programs that performs jobs. Engine are used in other places, such as the ViewModels, or in the services.

We put them in the DomainModel project which most things reference though. That's were most basic functionality and shared resources end up if they are used across Client/Service/Backend projects. So Domain / DomainModel might be a thing to use as well, if you want a specific namespace for that kind of use.

It's worth adding I greatly prefer MS Auth style authentication, since I don't have to find the right entry to read the Auth code and then write it on the other computer. Instead MS pops a notification and you either type or select the right number, verify with fingerprint and done. Much more convenient.

It often tells you what you login into and where you are attempt to log in from, so it's a few extra layers of security for those that have that awareness to check those details.

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.

Played a lot of rainbow six siege, where you have to shoot those 360° security cameras when you are attacking. So, now I'm trained to spot those on instinct.