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I propose that human amplification using ML tools was, is and will be our future
answer to the question everyone started asking back in 2012: "what's the killer app?"
my argument here is basic: I see it happening, at least in this particular way
I'm seeing a painting and being asked to prove it is there... well, here it is
This amplification I envision along a year-long 2-way training process with "crane" tools
that explore, refine & represent the fractalic landscape of the sense plane to us
whose controls can be perfectly tailored to the individual operator
that will be lifting unimaginable weights under solid human control
Current situation, imho, is ML research plays in a local minima and doesn't look up
not connecting back to the human, to create this tool with which you can train
it's just targeting a few of those useful flowers in the sense plane and leave it
agreed bringing progress, showing experiments, being very interesting
but while doors are presented, pursuit lacks courage to go outside at a higher level
showing you can throw a rock don't explain how to build a rocket engine
even though it's clear you can polish a rock so well
myopic investment is not beneficial and we'll gasp back at the hole we dug
So I'm saying forget momentarily about current hype, "AI" and such definitions which I argue constrain actual explorative depth from grasping our future. Take it form a software engineer pondering this very simple idea for years, I want to
point out that human amplification is possible, it is our future, we have the tools
find some ears open to it so we make it an "obviously, duh" one
jolt you to pursue it more ably, as I'm the last of my class if this community were one
solve AI doom
When you're amplified you'll be in the main seat of understanding
your understanding changes and that will demand/result (in) better tools
now there's a more able you which will then repeat.
solid human control, in a team of 3 since going alone is never a good idea
AI doom is solved since in the chicken->von Neumann->AI chart we move the goalpost
in all "tools that <verb> (to) us" we will be changing the "us" via amplification
I'm like a noob traveling to 1900s to tell how I've seen soccer being played today
can't do much other than inspire change in open-minded professionals
so the "OK, take the ball and show me how it's played" argument has no usefulness
Or in terms of lifting weights I'm optimistic a 63yr old fat dude can beat The Mountain
I propose that human amplification using ML tools was, is and will be our future
This amplification I envision along a year-long 2-way training process with "crane" tools
Current situation, imho, is ML research plays in a local minima and doesn't look up
So I'm saying forget momentarily about current hype, "AI" and such definitions which I argue constrain actual explorative depth from grasping our future. Take it form a software engineer pondering this very simple idea for years, I want to
When you're amplified you'll be in the main seat of understanding
AI doom is solved since in the chicken->von Neumann->AI chart we move the goalpost
I'm like a noob traveling to 1900s to tell how I've seen soccer being played today
Or in terms of lifting weights I'm optimistic a 63yr old fat dude can beat The Mountain