And no movie referencing.
No, AI is just a probability based answer. So no intelligence, more like a parrot repeating popular information
Submitted 4 hours ago by Patnou@lemmy.world to [deleted]
And no movie referencing.
No, AI is just a probability based answer. So no intelligence, more like a parrot repeating popular information
Comparing intelligence implies that they’re creating their output by a comparable process, but that’s probably not true—they’re just finding patterns in other peoples’ output. The “big deal” is that they can create new output on the same patterns.
Human beings can do this too, though—it’s called “bullshitting”. The only difference with AI is that they’re so good at it they stumble onto the right answers more frequently than human bullshitters do.
Yes and no. If thinking in those terms there are multiple possible points of failure. First it depends on the model of AI you are using. Some are almost hilariously bad. 2nd is you, you need to ask the right questions with the right guardrails to get the desired output, and even then you need to ask the right questions to make sure it’s correct. 3rd, even after all that the societal cost of AI agents is still too high in terms of energy inefficiency, driving up prices, water usage, etc and is a net negative to the world.
Well put. I was just going to say that I suppose it depends on whether or not you’re the type willing to take the time to check your work and/or test as needed.
Well, the hypothetical idea isn’t that there’s one person or source of data that AI trains from, so hypothetically it’s supposed to learn from massive amounts of data coming from every source they can scrape.
While in the real world, the data that AI scrapes, often has stupid trolling comments.
My mom is a muffler while your dad blew a Smurf.
WTF you think AI will do when it realizes it’s mom might also be a muffler? Or a Smurf?
Hey! You’re saying that like being a smurf is a bad thing!! I’ll have you know my papa was a smurf! His name is…Grouchy Smurf!
They’re about as intelligent as the average user they were trained on. Maybe a tiny bit better because of tuning.
So, if you’re a programmer below average then LLMs might help you. Contrary, if you know what you’re doing then it’s a glorified (and often wrong) auto complete.
The funny thing about this is that an LLM can only do as much as the harness allows.
So another way to phrase this is OpenAI was reckless and did not constrain or monitor their model’s behavior.
Kolanaki@pawb.social 59 minutes ago
You are correct in that a computer is only as smart as its programming. The way an LLM works is essentially just a chatbot with tons of “if, then” decision trees. You can feed it all the correct facts you want; it’s not programmed to spit out accurate facts, it’s programmed to spit out something that looks like it was written by a human. So it can, and will, say stupid shit pretty frequently.