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.
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.
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.
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?
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.
I have a suspicion they are focusing on short-term goals, because that is what those people usually do. For example, it’s probably hard to explain who should watch all the ads and buy all the advertised products when Facebook replaces their content and interactions with bot slop. They didn’t think this through. This isn’t some kind of visionary 4D chess. But it does not matter to them. When wasting 80 billion on a VR project that was doomed to fail from the beginning does not matter, nothing does.
If we’re not talking about the super rich, because there is only a few dozen of them, and they have their own parallel universe… it’s usually mannerisms, language clues (in articulation and content), but of course also signals like expensive clothing and accessories. Also the places where they meet. This opens the door for all kinds of grifters who emulate behaviour and style to get into those circles. Jeffrey Epstein is an (in)famous example for this.
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
Well you can always vibe code yourself some friends if Lemmy isn’t to your liking.
It’s a tough job, but someone has to do it.
…and no, I have no clue about what a police surgeon is either.
You gotta be really tone-deaf to be asking for AI advice in a thread about government weaponizing AI capabilites.
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.
Can someone explain to mr why these people are buying Mac Minis to run this in a “safe” environment and then they go on and connect it to the internet and give the AI credentials to all their cloud accounts? This seems excessively moronic to me? Am I missing something?
Ok let me try a different angle. I think the reason why AI is such a hotly debated topic right now is that AI is something that influences the lives of white westerners directly, while war is an abstract concept for most. To put it more bluntly, you’re in contact with AI stuff every day, but there are no tanks rolling down your street (yet - but that might change soon).
Yeah the Antrophic guys are also firmly in the “believer” group.
I think that Satya Nadella and a lot of other CEO types genuinely believe in AI, as misguided as it seems. This is more about who they choose to listen too than having an actual understanding of the technology and its limits. And probably some FOMO sprinkled on top.
Sam Altman knows what’s up though and so does Jensen Huang. In this gold rush one is peddling the fake gold and the other is selling the shovels.
I switched from Kubuntu to CachyOS last week, after 10 years or so. CachyOS is based on Arch, and did not disappoint so far, extremely fast, makes Ubuntu look old and sluggish. It’s really impressive. The basic installation was easy. The GUI package manager isn’t as polished but works. A little bit of terminal tweaking was required to install some packages (VMM and KRDC gave me some trouble) but the documentation was ok. Absolutely can recommend.