That’s the part about the painful process I mentioned. The dumb masses were always dumb and they will be the last to adapt. We’re in the Programming community and therefore might be a little earlier, as tech people are often early adopters of new ideas. I mean, the fact that you are using Lemmy is a sign that you want to try something more progressive, while most of the general public are happy with X, Instagram and Reddit.
Play Stationeers. It’s got a neat little assembly language called IC10 inside that directly controls and networks the game’s physical world and it’s fun and challenging to master. Build contraptions, have deadly but hilarious accidents, repeat.
I don’t entirely agree with the doom and gloom of that article. Humans are particularly good at adapting to changes. And humans are particularly good at detecting patterns and anti-patterns. Patterns are signals, and while adaption will take a while and will be painful, I think we’ll work it out. For example, detecting AI slop reliably and intuitively is a skill that more and more people learn. Once the pattern is learnt, it’s a new useful signal. Other new signals emerge for quality detection. In a world of crap software, the few that work well will stand out. Anything that can be “created” by anyone with a few prompts loses its value. What’s valuable will be what stands out from the slop.
Orecchiette Nudeln selber machen. Lernen, wie man die Dinger formt dauert etwa 5 Minuten, aber genügend davon zusammen zu bekommen dass man auch davon satt wird, dauert dann eher ne halbe Stunde
I kind of feel bad about the immense amount of Schadenfreude I currently have. No pity for mr. leather jacket smugface though. He deserves to be punished.
I like it. The Saltman is like Slenderman for Gen Alpha. They’ll sit around the fire barrel telling horror stories how The Saltman came out of the woods at night and snatched their electronics.
First they came for the billionaires, and I did not speak out, because I was not a billionaire.
(That’s sarcasm with a capital S just to be clear)
It’s funny how quickly the narrative shifts to “the Democrats did it”, when there are some very good other reasons for the stocks to fall, and nobody seems to notice. The circular investment AI business model was not sustainable before the election and the stocks started to fall before, and this became apparent to all with the anthropic IPO filing
Sam was here and took your RAM
Ok, I’ll bite. Assuming that the article means Large Language Models exclusively when mentioning “AI”.
Good specialized models aren’t that easy to build for a lot of use cases.
Coding is one of the more problematic cases. People tend to think that coding is about code, so if we just create a model that is specialized in writing code, we’re golden. However it turns out this isn’t true. Coding is not only about code itself, but about creating an application that has a specific purpose and features in a specific domain. The LLM needs an understanding of not only the plain code, but needs knowledge about the subjects the application is about, and these are mostly in the domain of general knowledge. Another issue is that the model itself needs to communicate with the user in an appropriate way, and this needs general knowledge as well.
“Summarize documents, draft memos, analyze spreadsheets”
All these examples require an LLM to have a good general knowledge to grasp what the original text is about. You won’t get a decent summary when the general knowledge of the subject at hand is subpar. My point is, bigger LLMs with more general knowledge handle these tasks better than smaller ones. I’m not saying smaller models can’t do the job, but there will be differences in quality.
It’s not that hard to let existing LLMs use specialized knowledge.
The actual problem is to prevent this specialized knowledge from being stolen by US/Chinese AI companies. So instead of focusing on building own “specialised” models, let’s work on preventing the ongoing theft of knowledge, and using the right tools for the job.
Olaf Scholz? Is he still relevant? I think you might be confusing the former German Chancellor with the current one, Friedrich Merz. Who actually said “that Google is also investing in Germany and Europe, and that we can ensure European sovereignty here even with an American provider.” - which is utterly ridiculous.
The article mentions that the state is currently home to 257 data centers. Just one thing to note in case you aren’t aware: That’s not exclusively AI datacenters and there is a massive difference in power draw and pollution between regular data centers and the AI counterpart.
I never wanted to be anything, and I was exceptionally successful at that so far. :/
I guess it would be good if a developer would disclose what AI was used for. Can’t make everyone happy here, because we have all nuances from “any AI use is bad” to “IDGAF” on Lemmy, so the dev should give more details on actual AI use. I personally would not object to using AI helpers for boilerplate stuff like this, but I can guarantee that a lot of people here think differently about it
Should have used IMAP, amirite?
Guess a real bank employee would know that withdraw used as a noun is called a withdrawal, but fun story.
I still can’t wrap my head around how this strategy (“buy our models, they are so powerful they might kill all humans”) would work in their favor, apart from one thing: restrictions would hurt Chinese models probably more than themselves. But I find it very unlikely that characters like Altman or Amodei would be capable of playing that kind of 4d chess. It’s a weird flex
What do you think where this is going to end up? My personal assessment of the situation is that only the mega-corporations can afford enshittification like that, and even those are now getting a taste of their own medicine (Sloperators recreating their flagship products… it’s a race to the bottom with enshittification on one side and sloppy replacements on the other). Smaller sized companies will simply get buried when the quality of their products falls to garbage levels. This is what those smaller sized companies don’t realise yet: When everyone can churn out the same low quality slop, their USP and their customers are gone soon.
True, that might happen at some time in the future, I’ll believe it when I see it. But at the moment most of the generated images or texts are only good enough if a human sloperator does some quality control and regenerates or edits the results until they look good. All the models i’ve seen so far have specific quirks/preferences which repeat as patterns. This might not be immediately apparent when a new model comes out, but it takes a lot less time to identify the quirks than it takes to train the model in the first place.
To be clear, I’m not implying that I couldn’t be fooled by a genAI text or image, but the majority of uncontrolled zero-shot slop is easy to spot, because it is just that, slop. Look at any random slop readme.md in a github repo for example. The structure is always the same, it is filled with a collection of words that tries to mimick what a readme would look like, including weird jargon imitations but it lacks the clarity, personal touch, developer ego and soul it would have if a real author was writing about his own cherished creation. Look for the things that are absent instead of the things that are there. Same for identifying slop images… Image Gen focuses on the subject and gets sloppy on the “less important” bits, like backgrounds.