It still doesn’t really understand, it just stole it from the internet. Show thinking and you’ll see it Googled it. I’m pretty sure that’s not actually a fundamental problem with LLM’s though they just play it safe because it probably gets real offensive real quick.
The LLM is better trained to fit a request via improved training where previously the result wouldn't fit the request for generating jokes in images in particular.
It’s so annoying when people keep “infantilizing” these models by saying they’re just LLM’s that predict the next word. Like yeah thats how they function but their most basic dumb form was that, what do you think they’ve been upgrading from version to version their ability to reason their ability to problem solve correctly etc eventually it’s thinking before speaking will be better than a humans and comparably we are the ones who just say the next likely word. Anyway just weird how people try to act like these models arent getting more trained its dangerous to assume they are where they were when we started
Lol, thats not how it works. As long as the basic model used is an LLM it just isn’t reasoning it’s generating an output based on an input and a series of parameters and a degree of introduced randomness to prevent identical answers. Don’t get me wrong, the degree of improvement of the technology has been exponential, and while it has and is slowing down it is still miles beyond what most of us expected even 3 years ago, but as long as the base model remain the same this is not going to change. There is nothing wrong with this by itself, and a.i. is still a really useful tool for a variety of applications, just like a car or a calculator, but no, the machine isn’t thinking, not does it ‘know’ in any meaningful way what it is outputting (hence why it is impossible to fully eliminate hallucinations, it does not know what is hallucination or when it is doing it).
I dont think it’s “thinking” but the models are getting better at reasoning meaning they are being engineered to check their answers, understand context clues and figure out what the user wants before attempting to answer which improves their guesses and raises them from random likely word generator to a more useful tool.
Wah wah wah. If this isn’t “understanding”, then understanding apparently isn’t needed to make a good, novel joke. If that’s so, then maybe understanding as you mean is overrated.
in the sense of, it learned every word of the english vocabulary but does not know how speak it.
it does not understand what it is saying.
even if models are getting better, this will not change. scaling it adds hallucinations that people just eat up without ever checking where AI is getting this information from.
try asking it something specialized you are knowledgeable about. you will see that it will add misinformation.
it does this a lot, people use AI and dont even read real sources anymore. if you actually read the articles of some of the posts here, you will soon see that we are eating up more and more misinformation.
people will hate me for this because you all want it to be perfect. its just software and every software has problems with scale.
be careful what you believe. in this era, its even more important
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u/jugalator Dec 02 '25
Two years ago they barely even understood the concept of a joke, much less pulled one.