Why is it impossible to build a text-based AGI model? Maybe there can be reasoning in between word predictions. Maybe reasoning is just a fancy term for statistics? Maybe floating-point rounding errors are sufficient for making it more than a mere token prediction model.
Not all the time. I can think about abstract concepts with no language needed whatsoever. Like when I’m working on my car. I don’t need to think to myself “Ah this bolt is the 10mm one that went on the steering pump”, I just recognize it and put it on.
Programming is another area like that. I just think about a particular concept itself. How the data will flow, what a function will do to it, etc. It doesn’t need to be described in my head with language to know it and understand it. LLMs cannot do that.
A toddler doesn’t need to understand language to build a cool house out of Lego.
Well, you just have to give the LLM (or better said to a general machine learning Algorithm) a body with Vision and arms as well as a way to train in that body
I’d say that would look like AGI
The key is more efficient training algorithms that don’t need a whole server centre to train 😇I guess we will see in the future if this works
This poster asked some questions in good faith, I don’t understand the downvotes when there’s a legitimate contribution to the conversation because that stifles other contributions.
You’re doing that too from day one you were born.
Besides, aren’t humans thinking in words too?
Why is it impossible to build a text-based AGI model? Maybe there can be reasoning in between word predictions. Maybe reasoning is just a fancy term for statistics? Maybe floating-point rounding errors are sufficient for making it more than a mere token prediction model.
Not all the time. I can think about abstract concepts with no language needed whatsoever. Like when I’m working on my car. I don’t need to think to myself “Ah this bolt is the 10mm one that went on the steering pump”, I just recognize it and put it on.
Programming is another area like that. I just think about a particular concept itself. How the data will flow, what a function will do to it, etc. It doesn’t need to be described in my head with language to know it and understand it. LLMs cannot do that.
A toddler doesn’t need to understand language to build a cool house out of Lego.
Well, you just have to give the LLM (or better said to a general machine learning Algorithm) a body with Vision and arms as well as a way to train in that body
I’d say that would look like AGI
The key is more efficient training algorithms that don’t need a whole server centre to train 😇I guess we will see in the future if this works
This poster asked some questions in good faith, I don’t understand the downvotes when there’s a legitimate contribution to the conversation because that stifles other contributions.