"AI design is inherently defective and will never work correctly."
Guess we need to jam it into more things!
this post was submitted on 10 May 2025
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As much as I agree with the sentiment and as much as I despise the current state of tech and llm's, software and tech in general are very brittle, riddled with problems and human mistakes(a bug is just a made up word that allows displacement of responsibility).
Just rambling don't really have a useful point
“Here to stay”? No.
No, I don’t think so.
I think yes. Look at how long they've been trying to cram voice assistants down our throats. There's no point at which they'll say "no, I don't think these are ready yet, let's pull them back".
I mean - I still don’t use them so - ? And knowing they’re infected with AI, I wouldn’t use them for anything other than the simplest, statistically-improbable-to-get-wrong tasks.
You’d be surprised, Google voice commands have gotten so bad it can’t toggle a light. Things as simple as “define: word” are now a 50/50 of working or spitting out some random crap unrelated to what was attempted to be looked up. I’ve stopped using the little speakers for anything other than streaming music while cooking.
And yet they are still here
I guess - i mean, the smallpox virus is still here too, it’s just very unpopular and not very profitable.
Oh you got a solution for ai hallucinations?
Yep. No AI.
Yeah.
AI is hapsburg jawing itself
But this is expected.
These anomalies occur because of the learning of the models. They don't have them when newly released because they have been trained on "clean" data.
As the resolution of vectoring increases, the speed at which the data becomes corrupted increases.
Most "hallucinations" are not really hallucinations. What happens is people put in multiple prompts changing definitions put forward by the model and then the original data gets downranked, so when a question is asked, it repeats the false data the user put in. Then they put in the screenshot at the end, not showing all the garbage they put in.
Now remember models usually discard this information for a new session, as any new information has to go through a model approval process comparing it with the clean database originally mined.
Yeah, people don't really realize that the reason these models are "free" is that we're part of the learning process, and is a critical step towards AGI. I don't think that the current generation of neural networks, not just GPTs in general, would be capable of such feat, especially as current neural networks are just very simplified models of neurons that can be represented with a simple matrix multiplication.
Paywall
Not pay but sign up wall. But I get it. It's annoying af.