Short-sightedly.

Of course that’s how sanctions work… against nations. Linux isn’t a country, it’s not an American asset. They could have resisted. Linus chose not to.

Do they? They could have just isolated those commits as sanctioned and added a warning. Linux hates Russians as a Finn, so didn’t need much convincing to remove them.

I would be singing a different tune if our allies invading other countries at the moment were also sanctioned, but that’s not the case.

As it stands, let the individuals escape the nation state punishment. They didn’t start this war, and likely don’t support it.

It’s on sa, so ok.

This is what I’m thinking. The file originally overwrote an older one, I muxed in and synced truehd audio into the original and ended up copying it back after forgetting a subtitle track. It definitely went back and forth with the same name a few times. It’s probably something with the Unix ACLs. Still concerning that it crashes the SMB daemon.

Exactly. All the influencer hype and excitement over a locked down arm ecosystem with evaporating battery life advantages. No thank you. Development efforts are better served elsewhere. I would prefer the Linux community ignore it rather than support it at the expense of RISC-V.

This is what I was think also. Just let the host rproxy the requests and just map the dns to the host in opnsense.

The only issue is not having a simple backup interface and feature in general. Has this been addressed yet? How are snapshots with ZFS on Incus?

It’s almost like the whole customized apps to fit into the GTK framework concept creates too much added work and needs to be rethought.

I don’t understand why someone should choose any GTK variant when they’ll have to refactor and rewrite their application every few years.

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You see all of the electric cars on the road now? Tesla saw an opportunity to make money, and it paved a path to lower carbon emissions (eventually). Even the blind chicken catches a worm. Capitalism isn’t all bad, it’s the greed it breeds that’s bad. The world isn’t black and white.

I don’t think he fooled anyone. The guy was literally helping the environment and advancing the space age. Then he started using drugs and went off the rails. He’s like Kanye. His music was good, the creator just went nuts.

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Friendly reminder to change your master password. You’re one SIM jack away from having your life locked away for ransom. They didn’t breach the seeds, but next time who knows. I would start migrating and changing 2FA codes just in case. You never know who might be spraying.

After decades of user interfaces and internet access, we’re making things worse rather than better.

Someone at Microsoft realized that hardware will speed up, hiding the fact that the OS is getting bloated and riddled with code that doesn’t directly benefit the user.

The value Windows provides isn’t great enough to deal with this state any longer. In fact, my experience shows it’s slower and just as buggy.

We have technology available to improve experiences, let’s not mix it with profit incentives for once.

Most people here don’t understand what this is saying.

We’ve had “pure” human generated data, verifiably so since LLMs and ImageGen didn’t exist. Any bot generated data was easily filterable due to lack of sophistication.

ChatGPT and SD3 enter the chat, generate nearly indistinguishable data from humans, but with a few errors here and there. These errors while few, are spectacular and make no sense to the training data.

2 years later, the internet is saturated with generated content. The old datasets are like gold now, since none of the new data is verifiably human.

This matters when you’ve played with local machine learning and understand how these machines “think”. If you feed an AI generated set to an AI as training data, it learns the mistakes as well as the data. Every generation it’s like mutations form until eventually it just produces garbage.

Training models on generated sets slowly by surely fail without a human touch. Scale this concept to the net fractionally. When 50% of your dataset is machine generated, 50% of your new model trained on it will begin to deteriorate. Do this long enough and that 50% becomes 60 to 70 and beyond.

Human creativity and thought have yet to be replicated. These models have no human ability to be discerning or sleep to recover errors. They simply learn imperfectly and generate new less perfect data in a digestible form.

These micro-examples are a reminder that corruption is a part of every human system, no matter how perfect the design.

There will always be concertgoers cutting the unwatched fence to sneak in for free.

The only plausible solution is elective transparency. Either your company and financial metadata are available for independent third party review, and records retained as defined, or else you’re not a company.

Don’t ascribe to it, get boycotted.