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- !gaming@Lemmy.world: Our sister community, focused on PC and console gaming. Meme are allowed.
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Beyond the copyright issues and energy issues, AI does some serious damage to your ability to do actual hard research. And I'm not just talking about "AI brain."
Let's say you're looking to solve a programming problem. If you use a search engine and look up the question or a string of keywords, what do you usually do? You look through each link that comes up and judge books by their covers (to an extent). "Do these look like reputable sites? Have I heard of any of them before?" You scroll click a bunch of them and read through them. Now you evaluate their contents. "Have I already tried this info? Oh this answer is from 15 years ago, it might be outdated." Then you pare down your links to a smaller number and try the solution each one provides, one at a time.
Now let's say you use an AI to do the same thing. You pray to the Oracle, and the Oracle responds with a single answer. It's a total soup of its training data. You can't tell where specifically it got any of this info. You just have to trust it on faith. You try it, maybe it works, maybe it doesn't. If it doesn't, you have to write a new prayer try again.
Even running a local model means you can't discern the source material from the output. This isn't Garbage In Garbage Out, but Stew In Soup Out. You can feed an AI a corpus of perfectly useful information, but it will churn everthing into a single liquidy mass at the end. You can't be critical about the output, because there's nothing to critique but a homogenous answer. And because the process is destructive, you can't un-soup the output. You've robbed yourself of the ability to learn from the input, and put all your faith into the Oracle.
You actually can, and you should be. And the process is not destructive since you can always undo in tools like cursor, or discard in git.
Besides, you can steer a good coding LLM in a right direction. The better you understand what are you doing - the better.
How would you be critical of the answer without also doing a traditional search to compare its answer? If you have to search and verify the answer anyway, didn't we just add an unnecessary step to the process?
You can have knowledge of the technology firsthand and just need to generate the code? I mean I would need to google different function names and conversion tricks all the time anyway, even if I'm really good at it. If AI slops it for me, it just speeds it up by a lot, and I can notice bad moments.
Again, the better you know what you are doing, the more it could help.
That would be all well and good, if corpos weren't pushing AI as a technology that everyone should be using all the time to reshape their daily lives.
The people most attracted to AI as a technology (and the ones that AI companies are marketing to the hardest) are the ones who want to use it for things where they don't already have domain-specific expertise. Non-artists generating art, or non-coders making apps on "vibes", etc. Have you ever heard of Travis Kalanick? He's one of the co-founders of Uber and he recently made the news after he went on some podcast to breathlessly rave about how he's been using LLMs to do "vibe physics". Kalanick, as you can guess, is not a physicist. In fact he's not a scientist of any kind.
The vast, vast majority of people using AI aren't using it to augment their existing skills, and they aren't using their own expertise to evaluate the output critically. This was never the point nor the promise of AI, and it's certainly not the direction that the people pushing this technology are attempting to push it.
AI marketing is total BS, but it doesn't mean AI is not useful in it's current state. People try to argue as if that was the case, but it simply isn't. Agentic AI + LLM does speed up usual tasks by a whole fucking lot.
Next day, these people would be wondering why they don't have access to essential tools they need to be effective (means of production), completely forgotten they were against these tools completely out of principle. This is as shortsighted as it can get.
But the AI only exists because of the marketing BS! The fact that AI is useful to qualified people in specialized fields doesn't matter when the technology is being mass marketed to a completely different group of people for completely different use cases.
LLMs are called "large" for a reason — their existence demands large datasets, large data centers, large resource consumption, and large capital expenditure to secure all of those things. The only entries with the resources to make that happen are large corporations (and rich nation-states, but they seem to be content to keep any of their own LLM efforts under wraps for now). You can only say "don't blame the technology, blame the technologist" when it's possible to separate the two, but in this case it's not. LLMs don't exist without the corpos, and the corpos are determined to push LLMs into places and use cases where they have no business being.
Openweight/Opensource LLMs do exist though. And isn't not only tiny models.
But if you know what you're doing, you can do a better job than the "AI"...??? This is a weird argument
With infinite time, sure. Time isn't infinite.