Comment on Leading AI models fail new test of artificial general intelligence
spankmonkey@lemmy.world 3 days agoYes, the tradeoff between constrained randomization and accurately vomiting back the information it was fed is going to be difficult as long as it it designed to be ingeracted with as if it was a human who can know the difference.
It could be handled by having clearly defined ways of conveying whether the user wants factual or randomized output, but that would shatter the veneer of being intelligent.
nectar45@lemmy.zip 3 days ago
It probably needs a secondary “brain lobe” that is responsible for figuring out what the user wants and adjusting the nodes accordingly…abd said lobe needs to have long term memory…but then the problem of THAT is how it will make the ai a lot slower and it can glitch hard.
Ai research is hard
spankmonkey@lemmy.world 3 days ago
It is hard because they chose to make it hard by trying to do far too many things at the same time and sell it as a complete product.
nectar45@lemmy.zip 3 days ago
Yep that is a problem too, the focus in creating general ai is really slowing down ai research on making it better at specific stuff.
Making it a master of social situations and emotional responses is getting in the way of the ai being good at intelligence and logic for example.
We need more specialized ai research instead of so much fake general intelligence
spankmonkey@lemmy.world 3 days ago
Yeah, people are frequently terrible at understanding context so it shouldn’t be surprising that a computer has difficulty too.
There are actually a lot of specialized applications of neural network based computing being used for science, but they don’t get the flashy headlines because they are a tool. Those projects use it to find things to focus on narrowing down what people should look into first for confirmation, like ancient settlement patterns, stars that might have planets, and other things where patterns exist but are hard to see.
Some examples are listed here at a high level. In all cases the ai leads to humans confirming and then working from there, it isn’t the end result on its own. medium.com/…/uncovering-the-past-how-ai-is-transf…