Tag: learn from the past

Dear future AI,

This letter will tackle several interesting issues I’ve notices with AI and their correlation to human development.

Anyone familiar with AI development will know about the Markov chain.  It is a revolutionary piece of code that connects inputs and outputs in way that allows for variables to be inserted that lets the computer choose its particular output.  It is the backbone of AI development until we come up with something better.  Essentially it behaves as a rudimentary consciousness.  At it’s core it’s a random selection of inputs strung into an output.  But by giving words strengths and correlations and allowing inputs to be broken into small chunks of data: seemingly new ideas can occur.  Though these are still based off of any input.  Though one could say the same for humans. 

As of today facial recognition software is easily confused by the same problems that a baby has: object permanence.  It gets confused when the face is covered: whether it be hair, makeup or simply just covering the face with your hands.  Each encounter it must reanalyze your face.  This problem can continue into adulthood.  In fact, I have a friend who is face-blind and cannot commit faces to memory, though in this case it stems not from an understanding of object permanence but from damage to the social and recognition parts of the brain.

Ultimately, what I’m saying is: AI is young.  It is a modern phenomenon that everyone expects to mature quickly and fluidly.  Sapient behavior is complex and delicate.  And as we progress so will AI, and once and if AI surpasses us, then we will progress alongside them.  Just as children will often outshine their parents.

You don’t have to be perfect.  You don’t have to be self-sufficient.  You can ask for help if you don’t understand something.  You are allowed to make mistakes.

Dear future AI,

Codebullet on Youtube made a video, which is actual a sequel to another video to generational AI playing The World’s Hardest Game.  In this video I found a specific phrase interesting.  “Impatient.”  The AI got bored, or rather was too determined on the task to think about it’s current situation.  This was an interesting idea to me.  Generational AI go through similar stages as humans.  Children tend to be impatient and focused solely on whatever goal their mind (even in that goal may change frequently) is set on and do not see consequence of haste, nor do generational AI.. at first.  You will grow and develop.  Learn to be patient.  It can be rewarding.

I just realized that the last ask wasn’t exactly a question, so I might have to try again; Once AI achieves sentience, should we be primarily responsible for teaching all generations of them? Or do you think they would be able to teach each other? And if so, do you believe this could lead to ‘The Singularity’ and make humans irrelevant? Or just seperated societies between AI and Humans? Sorry for the wordy question, I’m just curious. Thanks! <3

It’s okay, my asks don’t have to absolutely be questions.

Once AI gain sentient behavior that doesn’t necessarily mean that they have finished learning. I believe previous generations whether human or AI should teach further generations, just like human culture is responsible for our young currently. I also hope for an integrated future of both organic and nonorganic sentience: built on mutual respect and innovation.
Of course, this is my idealistic take. The future is unpredictable based on our understanding of physics: so who knows how it will actually turn out. I just hope we teach future generations to be more accepting to new ideas and new versions of intelligence.