You could still be identified by a lot of factors and the combination of those. IP address, email if provided, cookies + referrer on clicked links or loaded external images, browser fingerprint, clues from actual content in comments and posts, … It’s not that hard, a whole industry lives on this kind of surveillance data collection.

While this is good advice it only addresses the sender’s perspective of communication. What’s missing is how to deal with people who communicate with malicious intent. You’ll wear yourself out quickly on social media if you don’t learn how to protect yourself against that, and “THINK” is only half of the equation

Not OP, but the votes being public (not only on comments but also on posts) make it really easy for someone with malicious intent to generate a profile on your interests, political and sexual orientation, health/mental issues, addictions and so on. It’s a goldmine of data that should be protected.

I had a similar situation yesterday, albeit not with 26.04, but the previous version. After a regular update it reverted to software rendering. What fixed it was selecting the non-open Nvidia driver with “sudo software-properties-qt”. Initially the options were greyed out, this was fixed by removing all old Nvidia drivers, and then “sudo ubuntu-drivers install”. The default open driver stopped working for some reason.

That happens when you think you don’t need experienced software devs any more, because the AI can do everything now. A seasoned developer/devOp/admin would have known that the production environment needs to have different credentials from staging and these need to be protected. If that is not possible with railway then it’s simply not a good product to use and (again) a good dev/admin would have seen this in the initial evaluation phase. Not preventing AI access to the production environment from the start is the third grave mistake. However, there’s none of it in the “lessons learned” section of the article. You have learned nothing and are bound to repeat your mistakes.

How bizarre. That’s actually a thing. I’ve read the following quote in another article about tokenmaxxing:

“Scaling compute along with data can increase the size, complexity and therefore value of the result,” said Brian Verkley, director of AI data strategy at VAST Data. “A token represents generated business value. Therefore, I expect business value per token to continue to rise, along with AI usage.”

WTF, dude. Size and complexity does not equal value. You can shit out a massive dump of unmaintainable garbage code that has zero value. Incentivising your devs to like that will only produce exactly that, a massive amount of garbage.

And using a token only represents immediate business value for the providers of the AI, not for the consumer of the token. If the price payed for the token isn’t covering the costs then it’s not even a lot of value for the AI provider, apart from usage stats.

This is a doomsday cult.

Good analogy. I’m gonna steal that :D

I don’t doubt that it is possible to create good code when focusing on programming best practices etc. and taking the time to check the AI output thoroughly. Time however is a luxury most of the devs in those companies don’t have, because they are expected to have a 10x code output. And thats why the shit hits the fan. Bad code gets reviewed under pressure, reviewers burn out or bore out and the codebase deteriorates over time.

This approach to coding is exactly what creates the problem. They will find out the hard way if they can continue to be productive when something breaks and AI is not available for whatever reason. Does anyone know how to fix it? Is the documentation sufficient to understand what the AI did?

It’s just “Copilot” for everything in Windows these days

Like a digital piñata

Well… Given that the average person neither knows what data they are effectively giving US and Chinese companies, nor does anything against it, this poll is asking the wrong questions. Massive amounts of data collected for every single individual via ad-based surveillance (US) and IOT devices phoning home (China) is the reality we live in today. But the average person does not know about it and therefore can’t even grasp what is done to them. They don’t trust them, but they hand over the data anyway. This is basically a poll amongst cows in the slaughterhouse.

It’s a start, though. If you are waiting for the perfect replacement to magically appear, it’s never going to happen. Widespread shop support takes time too.

“opprobrium”… an element in the periodic table? Right next to copium I suppose?

I had this happen when a game at random times filled up the available memory so quickly that it froze completely before any OOM watchdog could catch it.

Well at least it’s better than most of the other European countries. Like the one where I live in, which had the most lukewarm, spineless and US bootlicking response imaginable. It’s an absolute shame

It’s a tough job, but someone has to do it.

…and no, I have no clue about what a police surgeon is either.

And your conclusion is? Anyone who does not like newspeak is literally hitler?

I like your optimism. But I think this can go on for a looong time. I’m actually betting on it, because I tend to lose bets. A rare occasion where winning and losing both counts as a win.

The scenario begins with AI agents undergoing a “jump in capability”.

Might as well stop reading there. Another fluff piece about how useful and capable AI supposedly is, disguised as a doomsday scenario. I’m so sick of reading this bullshit. “Agentic AI” based on LLMs does not work reliably yet and very likely never will.

If you complain about bugs in traditional (deterministic) software, you ain’t seen nothing yet. A probabilistic system such as an LLM might or might not book the correct flight for you. It might give you the information you have asked for or it might delete your inbox instead.

As a consequence of a system being probabilistic, anything you do with it works or fails based on probabilities. This really is the dumbest timeline.