Thanks for the reference. I think this only reinforces my point. They’re going to claim something that does economically valuable work on the computer is AGI, but when I hear “most economically valuable work” I think “build buildings, operate factories, grow food”.
We’ve just never seen a universal multimodal learner (all modalities) or a system with its own goals and motivations that can learn on its own without massive datasets (meaning things without datasets are hard for it to learn, so how does it for example learn how to do PCB design or CAD modeling), so they’re talking about such a leap it’s hard to fathom. I mean hell take PCB design for example. That’s actually on the computer but there’s no big dataset in existence that actually explains PCB design in a way a system would understand, so approaches that rely on a dataset for training simply can’t begin to solve that task.
And if you can’t even do that economically valuable task on the computer then I don’t believe you have AGI.
I am quite sure that they’re cooking up some fascinating stuff but I doubt they are going to have a system that can do machine design or PCB design just to name a few important and extremely economically valuable tasks.
Yeah, obviously anything anyone from OpenAI publicly says is marketing, especially considering that the all-loving cosmic utopia in the link I posted clearly is pure marketing BS. They actually added that definition in 2019, and shifted their priorities from their initial goals - no reason not to do this again any other time.
We’ve just never seen a universal multimodal learner (all modalities) or a system with its own goals and motivations that can learn on its own without massive datasets (meaning things without datasets are hard for it to learn, so how does it for example learn how to do PCB design or CAD modeling), so they’re talking about such a leap it’s hard to fathom. I mean hell take PCB design for example. That’s actually on the computer but there’s no big dataset in existence that actually explains PCB design in a way a system would understand, so approaches that rely on a dataset for training simply can’t begin to solve that task.
And if you can’t even do that economically valuable task on the computer then I don’t believe you have AGI.
I am quite sure that they’re cooking up some fascinating stuff but I doubt they are going to have a system that can do machine design or PCB design just to name a few important and extremely economically valuable tasks.