Matt

Each, human brain is uniquely different. According to a reputable source of 
obstetrics I once read, it was asserted how - in context of the miracle of 
natural birth - 80% of births have a degree of brain imperfection. If you wish, 
a degree of brain damage.

Neurosurgeons would probably agree that every "shock-induced" human brain 
structure (in the sense of clinical brain damage) is absolutely unique. 
Therefore, there exists no, true archetype for the exponentially-complex human 
brain as mind.

In other words, it seems likely that 80% of human brains could be expected to 
be clinically unique. Perhaps the symbol of a human "brain" being developed by 
Google et al is just their individual version of a human-inspired brain? It 
conforms to their worldview. The modern, human brain as machine according to 
Google et al!

Such ventures are plausible ambitions. However, it does not make the magical 
leap across the biological abyss to suddenly qualify as an archetypal, human 
brain at all. Humankind have been making images of natural biology for ages. 
There's nothing new here. What Google et al are doing is just different.

In a binary universe of the human mind, all of this has been done before. All 
permutations of a binary-inspired humanity has been calculated. How else do you 
think the human brain - before it manifested as mind - came into existence?

Empirically, it had to be motivated by a superpositioned binary universe, an 
emanating, binary wind of perpetual possibility. As a singular source of a 
finite, binary universe of the human mind in action. Possibly it's a case of; 
"We understand, therefore Earth exists."

Suppose the story went like this: One day, by chance, emerged the very-first 
version of the human brain as we know it today, replete with its 
On-and-Off-Switch architecture. At first, it might've been but a geometric 
fractal in crystaline form, a recombination of some DNA, an informational 
organism thrust into the waiting, geometric realm of cause and effect. From 
there, it followed and developed its DNA-architectural fusion like any other 
organism would. And now, we are here as we know here to be. Seems simple 
enough, doesn't it?

At best, Google et al are mimicking what they think should be the modern human 
brain as mind. At best, they're probably going to get it 80% incorrect. The 
real kicker is; they would not even be able to verify such findings in a valid 
and reliable manner. Even if they made such claims, the Public would not be 
able to verify it in a valid and reliable manner. Thus, more conjecture - for 
now. Not hard science. Maybe one day then? But not, unless, we resolve the 
origin of the human brain as mind.

My argument supports the notion that - with regards the human brain - you could 
not hope to prove the generalized claims you've been making here as if in an 
empirical manner. For your lack of knowing my, peculiar brain, you cannot be 
correct at all. As such, your assertions are pure conjecture. You're applying 
conjectures to more conjectures. I don't think you understand the true design 
of the human brain as mind.

But who cares what I think, right? So then, who cares what structure my brain 
as mind, and the structures of others' holding similar, subjective opinion 
relative to purported, and actual, fact? Ours is but the generalized 
perspective. Such is our minds in action.

For AGI to make it into computational existence, would require a deep 
understanding of the human brain as mind.  For your curiosity, perhaps you 
would make that your goal to understand.

Rob


________________________________
From: Matt Mahoney <[email protected]>
Sent: Monday, 14 October 2019 02:13
To: AGI <[email protected]>
Subject: Re: [agi] Whats everyones goal here?

The brain has enormous redundancy everywhere. It uses 6 x 10^14 synapses to 
store 10^9 bits of long term memory and 10^9 bits of inherited knowledge. But 
parallel systems are like that. Google's server farm of a million CPUs each 
carry an identical copy of Linux. Each of your 10^13 cell nuclei has an 
identical copy of your DNA. It's a trade-off between speed and memory.

On Sun, Oct 13, 2019, 12:36 PM James Bowery 
<[email protected]<mailto:[email protected]>> wrote:
There is an enormous amount of redundancy in the abstract thalamocortical 
architecture evincing small Kolmogorov Complexity in description.  While I 
understand "the devil is in the details" of this evolved structure (not the 
least of which is the fact that it elides that the cerebellum's neuron count is 
a super-majority of the brain's), there seems to be a vast theoretic vacuum of 
the requisite simplicity.  It's the dog that didn't bark.

That's why I take Hecht-Nielsen's Confabulation Theory seriously:  Not because 
I believe, as he did, that he "solved the problem of cognition", but rather 
that he has a first order approximation of the neocortex (indeed 
thalamcortical) structure -- at least one barking dog -- an _approach_.  It's 
rather like a framework for compression like mixture of models, rather than the 
models themselves.

On Sun, Oct 13, 2019 at 12:07 PM Matt Mahoney 
<[email protected]<mailto:[email protected]>> wrote:


On Sun, Oct 13, 2019, 10:09 AM 
<[email protected]<mailto:[email protected]>> wrote:
Isn't that massively inefficient? It'd take 100 times more storage/computation 
to do the same thing as a weighted net no?

The neural models I use in the top ranked text compressors use a lot less than 
12-24 petaflops and a petabyte of RAM. But the language modeling is rather 
rudamentary, nowhere near AGI. But I would be happy for you to prove my 
estimate wrong.

And one more thing. That's one human brain. To automate all labor, you need 
several billion times that. Current technology uses about 1 megawatt per 
petaflop. Maybe neuromorphic computing could get it down to 100 kW per brain. 
Maybe economy of specialization could reduce it to 1 kW, which is 50% of global 
energy production. But shrinking transistors alone won't do it. If we can't do 
the optimization, it's going to take nanotechnology, moving atoms instead of 
electrons. The brain uses 20 watts. It can be done.
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