Thunder ❤️

Old bands such as Joy Division are amazing and most new music doesn’t even get close to that.

I hope I won’t need a lawyer after you do 😂

Okay, one thing for me to do then…

rad seed rad:z3SNcAzHydhWtfaFTiq9S643GQjYU

Done! :)

I would put a simple “grep <whafever> mail.log || curl ntfy.sh” or something like that. Ntfy can send you alert on the phone if some check failed or passed. For pass just use && :) Simple and it works.

This happens to me too sometimes. It usually fixes itself up when I clean the cache and remove all downloaded songs so it can update them.

Yeah better fit but a bit of trouble to setup… What’s your opinion on Icinga? Never used it myself.

There will always be people in both cases thinking they are entitled to the work of others. There will be nice people who do nice by others too, rarely but that happens. We live in a wonderful world and not being an a…hole about things makes it better.

Give https://github.com/louislam/uptime-kuma a try. I’m planning to do the same for similar use case. Sensu (sensu.io) is a more sophisticated option but it requires more infrastructure and there is a bit of a learning curve with it.

XML or JSON - does it matter? Turtle is a turtle, same principals apply, just different structure. What happened to server side rendering? Oh, we do that with fancy frameworks and ton of JS now. All good.

Very cool! Thanks, saw some things I didn’t know about.

That would be amazing. But it won’t happen any time soon if ever… I mean - just think about all that investment in GPU compute and the need to realize good profit margins. Until there are laws and legislation that requires AI companies to open their data pipelines and make public all details about the data sources I don’t think much would happen. They’ll just keep feeding any data they get their hands on and nothing can stop that today.

It’s almost impossible to audit what data got into an AI model. Until this is true companies could scrape and use whatever they like and no one would be the wiser to what data got used or misused in the process. That makes it hard to make such companies accountable to what and how they are using.