On Tue, Jan 5, 2021 at 12:44 AM <[email protected]> wrote:

> What if not only could a non-simulated brain have unseen function, but a
> non-simulated body may also have unseen function, and a natural dataset
> from the real world like we get and not human made or limited has unseen
> function?
>
> Without doing that, we still have made impressive AI like GPT-3, IGPT,
> JUKEBOX. But could we get more sauce from trying it. Of course we already
> know we want to give it real data streams, and a real body, it is part of
> the plan. Of course it feels expensive to do so until the end. But our AI
> is stuck on a sim for the most part ya.
>
> My conclusion is a real brain/ body/ data stream is not worth it, as it's
> expensive even IF it has some ability to more quickly shed light on how to
> make real combustion in an engine happen. Our learning to walk AIs do
> pretty good in sims, even if not perfectly simulating friction etc.
>
> If our goal was to make a computer-simulated combustion engine, yes it may
> not work, but we can get it to, just it may take a tad longer since we are
> creating the PHYSICS and the MACHINE, and not just the machine in a already
> given PHYSICS only. *? . .*
>
> I really am far in AGI, I see no need to experiment so radically to see if
> real axons etc do something naturally useful for pattern finding ex. retain
> or pool energy in nodes to act like a short term pool, without us bringing
> it to do it by code. I already have that all figured out. I do better by
> asking myself how or why would i want it? For example, if i want to eat all
> day, do i really want that? Some may argue, ya, it good, but then we are
> all big n fat and die young. Even though people may think its obvious and
> say "don't eat so much, its just wrong, i don't know why, though, just
> don't", asking yourself what the actual reason is actually explains why it
> is not so great.
>
> Now the ?, hmm, when we think about how AGI works, we have the machine &
> physics both in mind, no? And if you don't have the physics in mind, you
> wouldn't see it anyway. And if the brain has its own level of operation not
> dependent on the atomic physics, does it matter then to think about the
> physics underneath? We create simple physics sims without atoms. They are
> rather pretty close in many ways, despite lacking a massive amount of the
> atoms in a real scenario. So, I think, the AGI function is all that
> matters, it is the physics/ machine. There may be a physics ni real life we
> don't have but the brain is a rebellion to that physics, it acts
> differently, it may send a signal/particle to location B only if sees X, or
> may decide some nodes get thicker connections, none of this is particle
> physics, it's a higher level, like that crappy 3D physics sim in Blender
> that works but has 0 atoms. So I think our AGI is the machine, but the
> physics is not needed, only the level of the machine physics. And I don't
> think making a real brain-chip will show us much insights how to do it,
> seems like a slow unintelligence-backed search.
>

Nature made natural general intelligence without computers, models or
abstractions. Just brain physics.
I guess it's up to the rest of us to try to do the same thing to make an
artificial version of it.
The prospect will soldier on without you, I guess.

Version 3 has been approved:
Hales, Colin (2020): The Model-less Neuromimetic Chip and its Normalization
of Neuroscience and Artificial Intelligence. TechRxiv. Preprint.
https://doi.org/10.36227/techrxiv.13298750.v3

I am done with the article. If it appears in a journal I'll let the group
know.

The first basic prototyping results will happen over the next couple of
years. The beginnings of a test rig is on the floor next to me. I'm really
looking forward to an empirical adventure!

cheers
Colin

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Artificial General Intelligence List: AGI
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