Evidence is growing that LLMs will never be the route to AGI. They are consuming exponentially increasing energy, to deliver only linear improvements in performance. : futurology

[–] [email protected] -1 points 5 months ago

Seems like a skill issue

[–] [email protected] -3 points 5 months ago

Just like ETH before staking

[+] [email protected] -6 points 5 months ago* (last edited 5 months ago) (5 children)

My question is: Imagine we would put all the data input of a certain task, eg. making a meal, into text fragments and send this "sense data"-pakets ( ^1^ to the AI, would the AI be able to cook if the teach the AI how to give output that controlls a robot arm?

If the answer of this question is yes, we already have a very usefull general tool. The LLM-AI will be able to controll and observe some situations. In the case that the answer is "no", I guess, it would have interesting implications.

^1^ : Remember, some part of AI are already able to tell what is on a given photo. Not 100%, but good enough for a meal maybe. In some cases, it woul task "provokant".

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[+] [email protected] -17 points 5 months ago (20 children)

I’ll keep presenting this challenge until someone meets it:

Anyone who thinks LLMs aren’t generally intelligent, can you name a text processing task (ie text in, text out) than a general intelligence can do, that an LLM cannot?

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Futurology