not the source

thats is a massive assertion

and that's the disagreement

my fucking god this _name in winders kills me

most see the brain as being like a computer, each portion having specific hardware

The machine just does not do searches with normal spaces and blaNAMEbla formats

rather than the brain being like a memory register

winders is dumb this way

where the hardware is the same, but the parts of memory which handle certain functions are because of a running kernel

that is an empirically defined system though

there is no way to tell these apart empirically

bridging that with the constructed system of computational processing is likely what will lead to the development of ai, rather than sohpisticated illusions

agreed

singularity

just because it hasnt been bridged yet doesnt mean a bridge is impossible as you seem to be claiming

why can't NN be the source and a result of intelligence?
That's literally a description of an evolutionary lööp

which is one of the key reasons i think they are greatly exaggerating

because a NN doesn't self-seed nor can it handle selection of optimzation criteria

or atleast by virtue of them being different, to assert that they fundamentally cannot be merged requires more than just the assertion

how does it not self-seed?
There are NNs that create other NNs and evaluate them

oh 100% everytime any company uses the term "AI" they are full of shit

Neural networking is a phenomena relatively detatched from its namesake

Constantly improving NNs that do a better version of self is literally what Amazon spends billions on

because these are two seperate processes and the input schema is always pre-defined

the brain doesn't require you to know what you are looking for when you first encounter an instance

btw Amazon throws out algorythms that are starting to make too many decisions

lol

you create a representation in it's mind and until you associate that with a definition, you only have it's identity

Imagine a poor algyrythm being "I am self-sentien"
Amazon: delet

machines are capeable of the same behaviour

behaviour?

they just generally lack the abstraction to connect data points that usually follows and is used to improve the algorithms used

present NNs can do that, but its limited to its own scope

again, the result of abstraction is not the mechanism which allows abstraction

it simply isn't capable of knowledge representation in a native context

why not? interesting philosophy is predicated on the understanding that circular loops exist

because O^n

Thou shalt not make a machine in the likeness of a man's mind

for each additional layer, the propagation time of the network will increase

https://www.youtube.com/watch?v=IrrADTN-dvg

the only away around this is a convention based arrangment of storage elements which can self-organize and use the same pathways to access multiple iterations