this post was submitted on 07 Jul 2023
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Exatctly, these LLMs - Large Language Models are not AI.
Calling them that is as accurate as Tesla's claim to have full self driving. Both are nothing but marketing terms to drive sales and adoption.
Well, technically they are AI. But speech recognition, face recognition, even showing you a route in gps navigation is technically under AI. We just accepted them as normal thing.
This text generation is IMO similar to AI creating pictures or creating music, it is just done with text.
It is not the kind of AI most people think of, like from sci-fi movies.
It's basically trained to generate text that could fool a casual observer that it was written by a human.
It complicates things, because until now the test for AGI was being able to fool the tester to think they talk with another human.
Put that thing in the wild with no other info at disposal except what it has learned thus far and the real world as input (hear, smell, touch, see), let it roam and see if it can draw conclusions and learn from it's mistakes. If it can, next step would be better itself, or at least make a plan on what needs to be removed/added to, let's say, have a more precise hand grip on things, if there need to be code changes, what might they be.
These things are the real AI test, the hell with Touring tests, they don't prove anything (talk is cheap 😂), tell it to think, learn and adapt, that's the real test 👍.
These language models serve one purpose and one purpose only, to fill social networks with them and act like humans. Why? People just love to talk. That will keep them glued to the platform with more ad revenue coming in.
EDIT: I did a joke test with ChatGPT, it can't understand what the punchline is. It thinks it does, but that's not the punchline of the joke.
https://chat.openai.com/share/965a7b71-b1ad-434c-94ef-12ed1ff65028