this post was submitted on 07 Aug 2024
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Not a hardware problem, the learning algorithm just needs to be improved to be able to filter input like human brain filter (which includes fact checking and critical analysis of input while training) i bet 99% of the data AI are trained on is hust useless data which should have been filtered out in the training process, just as humans do.
😆AI is definitely better in writing than me.. Hope it’s kinda readable.
You're suggesting that all we need to do is "tweak the code a little" so it's already capable of human-level critical thinking before it even starts training?
You're basically saying that all we need to make an AGI using machine learning, is an already functioning AGI.
Hu? No, that is not what I meant, well it surly can be a machine learning based filter, but why has it to be AGI? This filtering is a job that we can give to a "traditionally" trained AI or some human genius algorithm crafter finds a way to achieve this using pure logic 🤷🏻♀️ For me it feels like this is the way, it goes.
Because how could a piece of code that can do that, not already be AGI? It would have to be able to understand EVERYTHING, and do so PERFECTLY.
Only AGI could comprehend and filter input data that well. Nothing less would be enough. How could it be?
No it just needs to categorise into important / probably true and not important / probably nonsense, as a first step
Here are Johnny harris’s words describing what I am talking about (he describes it in order to able to talk about lies better)
https://youtu.be/yWgG3Mgn2Gc?si=bPcYhRAZNaY2qIJS
Right...
As if critical thinking is super easy, basic stuff, that humans get right every time without even trying. You actually think getting a computer to do it would be easier than making the AGI?
You are VERY confused about how thinking works.
You don’t need AGI to categorise new info as probably true / probably wrong based on your base knowledge. This a simple machine learning task.
No it isn't.
OK