Message from @R9b1t
Discord ID: 505598348116492289
Jim Metokur failed.
The more people interact, the better they can relate and understand each other.
Even if we just programmed a dog AI, that would be a huge leap forward. It would be amazing - but we would never know, because it can't speak english.
really? experiences? shared ones or just imagining simlar ones?
I’m thinking about sticking something in my pee pee hole
A dog AI would just sit there and wouldn't know how to use a keyboard, but it would be a nobel prize like achievement, just to get to mammalian intelligence.
We are looking at Artificial intelligence on our level in the next 30 years.
These are questions we got to look at.
Great more NPCs
What is the best way to teach AI... programming or through experiences?
We are the result of our evolution. For an AI to be completely human like, it would probably have to have all the evolved parts hardcoded.
Experience.
It's the only way we know how.
I think that is the best way undead.
Shared experiences.
Interactions.
Neural networks like the Google Brain image recognition usually works on huge data training sets.
With humans.
experience requires programming
Paradox, you are looking at the fast and simple way.
programming requires experience
Here is how neural networks are usually trained:
https://stackoverflow.com/questions/963041/data-sets-for-neural-network-training
There needs to be a slow down in experiencing and learning.
no, i am questioning, because that's what i do
The faster you experience things, the less you care about what you learned.
We don't really know how to make AI "care".
i dont believe AI will
It's more of a statistical process right now.
like even a little
you guys are trying to apply human aspects onto an AI, without even understanding the human aspects
Neural networks are kind of like stochastic filters.
I want to see if an AI will figure out how to give me a rub and tug
it's like, MMkay. gl
Caring = Sympathetic understanding of shared experience.
It learns by doing something like statistical analysis. For example, in order to recognize chairs, you will have to feed it hundreds of chair images and eventually it recognizes the relative distribution of key features.
It would be better to have a human aspect in AI, then a AI with no human aspect at all.
great, what's that mean?
start there
But, the amazing thing is that a child can learn what a chair is just by seeing one or two chairs.