That’s exactly the reason why you get good results when prompting a chatbot. You have the knowledge to ask the right questions with the needed keywords and lingo. What’s problematic is that Microslop and big tech in general are advertising AI as a generic tool for everyone and their grandmother. The result is garbage in, garbage out. It’s not going to work as advertised.
I agree with everything you wrote, but there is a key difference to what happened before, and as shitty as it is to point out, the difference is that now white people and even state/local police are being targeted. That’s why suddenly people care who didn’t give a shit about all of your examples from the past.
the crew identified “a minor electrical issue”
Maybe they have detected a brainwave? ABORT ABORT
/s
I’m not mad at anyone. You said you can’t understand why people are angry about this and I wanted to help ^^
I think they aren’t happy with people self-censoring their posts to please an algorithm. It’s not about their right to self-censor but users feel they have to do it to avoid penalties when they should not have to. Those mild forms of self-censorship are only the beginning. On Youtube you can already see people re-inventing newspeak by replacing ordinary words like “killed” with “unalived” to avoid algorithmic penalties. That’s fucked up.
However, Mr Nadella said he was confident that AI would prove to be transformative across industries, such as helping to develop new drugs.
It’s kind of telling that he uses AI examples of a completely different field while his company is peddling LLMs exclusively. Chatbots can’t help with drug development.
Its similar for me as a software developer. I’m sometimes using LLMs to get alternative concepts or implementations to the task at hand or simply to refresh my memory about something with an example. This works well, because I’m already well aware of what I am trying to accomplish and so my prompts are precise enough to get a decent result. However generating directly usable code that meets my expectations just with prompts is really hard to do. There is so much fine tuning necessary that I’m faster just doing it myself.
I don’t see the technology itself as evil, there are some good uses if you know about the capabilities and limitations. What’s evil is big corporations selling this technology to people who are not prepared to understand or handle the limitations.
But personally I’m using it less and less these days. I don’t want to take part in the massive environmental damage AI is causing and the thought of contributing to this mess makes me feel icky every time I think of using it.
You’re right it’s better to keep our head down and do nothing
/s obviously
Exactly this. A lot of people don’t understand that. It’s obvious that a handful of soldiers is not going to protect Greenland against an invasion of the biggest military on earth. That wasn’t the goal. It was a not so subtle message reminding Trump that invading Greenland will have consequences. Judging by Trump’s unhinged response this message was received.
While true, this is only half of the picture. Exporters “pay” through the products they can’t sell, because demand is shrinking. While most exporters can’t lower their prices much without making a loss this directly benefits low production cost countries like China.
In the end it’s a quadruple Eigentor (the German word for own goal) because you weaken your own country and your economic partners, isolate yourself on the global market and strengthen your enemies. Good job, America.
Ich würd noch ein Seepferdchen, eine Teilnahmeurkunde von den Bundesjugendspielen und einen Fahrradwimpel spenden, wenn der Spuk dann ein Ende hat
Solow Paradox
The main difference is that PCs actually worked as advertised, back in the day and the reason for this productivity dent wasn’t a false promise from the start. Before AI the main use of computers was of a deterministic nature, meaning you get a directly reproducible outcome depending on the input. AIs (especially: LLMs) are probabilistic in nature, the output cannot be guaranteed to be correct, and it turns out just bolting on guardrails on top of the system is a band-aid. In practice, instead of getting a general-purpose intelligent machine which is capable of making autonomous decisions, you get a word predictor with an unlimited amount of possible failure modes.
I’ve seen this so many times, long before AI was even a thing. It always goes like this:
What amazes me is that this is still happening to this day. I’ve seen a real world example of this just last week.
On top of that, AI has arrived and it gives the CEOs of the world an opportunity to make the same mistakes again. It’s mindblowingly stupid.
Note: I don’t blame Indian companies for offering their services. The blame entirely goes to greedy companies from the west who try squeeze out profit from income disparity and lower standards.
I knew I forgot something… Yeah dolphin is good, but it has some questionable UI design decisions too. For example I always have trouble finding the quick filter instead of the find menu. It’s hidden somewhere and it does not persist. And the find menu itself is such a mess that it’s easier to use find . -iname *whatever* on the command line. But maybe that’s just me and my way of thinking.
Hm never thought about it, but now that you mention it, I feel the same. Mostly using non-KDE apps with a few exceptions like Spectacle and Konsole
Most of the hype isn’t about machine learning stuff for cancer diagnoses though. When the average C-level guy talks about AI they mean almost exclusively LLMs. Fancy autocomplete is their solution to everything, from summarizing an email to agentic OSes. And that’s just not going to happen.
Yeah unfortunately there are some actors on Lemmy who post propaganda pieces or at least heavily opinionated stuff as “news”. I’d count everything from rawstory or dropsite news as such, for example
I don’t have a link right now, but if you look it up at the usual suspects like wired, ars technica, the register, 404 media, or even Ed Zitron or Cory Doctorow, I’m sure you’ll find plenty of stuff. The search degradation started around the time Sundar Pichai became CEO at Google and it made quite a splash during all that time. Also, there have been several “rollouts” in recent years which changed the search result appearance, content and the page rank algorithm over time, this was published by Google itself. They did of course not disclose how the algorithm works.
First of all, gather information about why data centers are bad for communities yourself. You need a clear understanding of what this topic is about if you want to be able to communicate these facts clearly. Otherwise anyone can discredit your concerns with a few questions you have no answer to. Secondly, find allies instead of trying to accomplish this on your own. Find local politicians who are likely to be on your side and contact them. Is there something like a regular town hall meeting? Environmental groups? Unions? You could present something there to find people willing to help. You need to amplify your voice to be heard.
Sorry you had this experience. Not all of us are like that though. I just thought of my own experience and I usually try to find an answer with a web search instead of asking in a forum. Most of the time someone else already had the problem and was brave enough to ask. This is especially true for beginner problems. As rough as some of those people can be, there already is a tutorial for almost anything imaginable. And it goes both ways. Don’t ask for stuff that can easily be found on the web. (I’m not implying you did, this is just a general tip)