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.
If I had a cent every time an artist on patron had their computer die on them and lost works in progress or all their old stuff... I'd afford a few coffees.
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.
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.
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.
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.
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.
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.
I disabled my adblock for Twitter to see a update about game server maintenance. It showed me random posts, nothing from this year. Literally unusable site when you can't even see the latest tweets. Had to have other people tell me maintenance was extended...
Python, C#, Rust
Used a bit of C++ and Matlab, but saying I know them is a stretch really.
I use it for coding (rarely pure copy paste), explaining code, use/examples, finding tools to use. Better translation than Google translate for Japanese. Asking for things that search engines only gives generic results for.