On 1 April 2018 at 07:56, Telmo Menezes <[email protected]> wrote:

> Hey Mindey,
>
> On Sat, Mar 31, 2018 at 11:12 PM, Mindey I. <[email protected]> wrote:
> > Why not to just define yourself, and then try to re-run yourself? If you
> > have a mathematical definition of your own self, you are already close to
> > living forever as a running process based on that definition.
>
> Easier said than done might be the understatement of the millennium here :)
>

Hey, Telmo. Definitely not easy. However, abstractly, curiosity may boil
down to randomness generators, as a means to explore (computational and
other) universes (or find solutions), and if we have somehow equivalent
generators, it may be that some of us are equivalent in that sense.

> Personally, when I try to define myself, I bump into memories of strong
> > sense of curiosity, making me nearly cry of desire to know Everything.
> >
> > Maybe most of us here on the "Everything-List" are like that. Maybe we're
> > equivalent?
>
> I don't know if my curiosity is as strong as yours, I think it's
> impossible to know. I think you are being reductive about yourself, no
> matter how amazing curiosity is.
>

Yes, but how could someone with limited thinking resources understand
everything by not being somewhat reductionist?




>
> Telmo.
>
> > On 31 March 2018 at 20:32, Telmo Menezes <[email protected]> wrote:
> >>
> >> On Sat, Mar 31, 2018 at 10:17 PM, Lawrence Crowell
> >> <[email protected]> wrote:
> >> > You would have to replicate then not only the dynamics of neurons, but
> >> > every
> >> > biomolecule in the neurons, and don't forget about the oligoastrocytes
> >> > and
> >> > other glial cells. Many enzymes for instance to multi-state systems,
> say
> >> > in
> >> > a simple case where a single amino acid residue of phosphorylated or
> >> > unphosphorylated, and in effect are binary switching units. To then
> make
> >> > this work you now need to have the brain states mapped out down to the
> >> > molecular level, and further to have their combinatorial relationships
> >> > mapped. Biomolecules also behave in water, so you have to model all
> the
> >> > water molecules. Given the brain has around 10^{25} or a few moles of
> >> > molecules the number of possible combinations might be on the order of
> >> > 10^{10^{25}} this is a daunting task. Also your computer has to
> >> > accurately
> >> > encode the dynamics of molecules -- down to the quantum mechanics of
> >> > their
> >> > bonds.
> >> >
> >> > This is another way of saying that biological systems, even that of a
> >> > basic
> >> > prokaryote, are beyond our current abilities to simulate. You can't
> just
> >> > hand wave away the enormous problems with just simulating a bacillus,
> >> > let
> >> > alone something like the brain. Now of course one can do some
> >> > simulations to
> >> > learn about the brain in a model system, but this is far from mapping
> a
> >> > brain and its conscious state into a computer.
> >>
> >> Well maybe, but this is just you guessing.
> >> Nobody knows the necessary level of detail.
> >>
> >> Telmo.
> >>
> >> > LC
> >> >
> >> >
> >> > On Saturday, March 31, 2018 at 10:31:56 AM UTC-6, John Clark wrote:
> >> >>
> >> >> On Tue, Mar 27, 2018 at 8:24 PM, Lawrence Crowell
> >> >> <[email protected]> wrote:
> >> >>
> >> >>> > Yes, and if you replace the entire brain with technology the peg
> leg
> >> >>> > is
> >> >>> > expanded into an entire Pinocchio. Would the really be conscious?
> It
> >> >>> > is the
> >> >>> > case as well that so much of our mental processing does involve
> >> >>> > hormone
> >> >>> > reception and a range of other data inputs from other receptors
> and
> >> >>> > ligands.
> >> >>
> >> >> I see nothing sacred in hormones, I don't see the slightest reason
> why
> >> >> they or any neurotransmitter would be especially difficult to
> simulate
> >> >> through computation, because chemical messengers are not a sign of
> >> >> sophisticated design on nature's part, rather it's an example of
> >> >> Evolution's
> >> >> bungling. If you need to inhibit a nearby neuron there are better
> ways
> >> >> of
> >> >> sending that signal then launching a GABA molecule like a message in
> a
> >> >> bottle thrown into the sea and waiting ages for it to diffuse to its
> >> >> random
> >> >> target.
> >> >>
> >> >> I'm not interested in chemicals only the information they contain, I
> >> >> want
> >> >> the information to get transmitted from cell to cell by the best
> method
> >> >> and
> >> >> so I would not send smoke signals if I had a fiber optic cable. The
> >> >> information content in each molecular message must be tiny, just a
> few
> >> >> bits
> >> >> because only about 60 neurotransmitters such as acetylcholine,
> >> >> norepinephrine and GABA are known, even if the true number is 100
> times
> >> >> greater (or a million times for that matter) the information content
> >> >> ofeach
> >> >> signal must be tiny. Also, for the long range stuff, exactly which
> >> >> neuron
> >> >> receives the signal can not be specified because it relies on a
> random
> >> >> process, diffusion. The fact that it's slow as molasses in February
> >> >> does not
> >> >> add to its charm.
> >> >>
> >> >> If your job is delivering packages and all the packages are very
> small
> >> >> and
> >> >> your boss doesn't care who you give them to as long as it's on the
> >> >> correct
> >> >> continent and you have until the next ice age to get the work done,
> >> >> then you
> >> >> don't have a very difficult profession. I see no reason why
> simulating
> >> >> that
> >> >> anachronism  would present the slightest difficulty. Artificial
> neurons
> >> >> could be made to release neurotransmitters as inefficiently as
> natural
> >> >> ones
> >> >> if anybody really wanted to, but it would be pointless when there are
> >> >> much
> >> >> faster ways.
> >> >>
> >> >> Electronics is inherently fast because its electrical signals are
> sent
> >> >> by
> >> >> fast light electrons. The brain also uses some electrical signals,
> but
> >> >> it
> >> >> doesn't use electrons, it uses ions to send signals, the most
> important
> >> >> are
> >> >> chlorine and potassium. A chlorine ion is 65 thousand times as heavy
> as
> >> >> an
> >> >> electron, a potassium ion is even heavier, if you want to talk about
> >> >> gap
> >> >> junctions, the ions they use are millions of times more massive than
> >> >> electrons. There is no way to get around it, according to the
> >> >> fundamental
> >> >> laws of physics, something that has a large mass will be slow, very,
> >> >> very,
> >> >> slow.
> >> >>
> >> >> The great strength biology has over present day electronics is in the
> >> >> ability of one neuron to make thousands of connections of various
> >> >> strengths
> >> >> with other neurons. However, I see absolutely nothing in the
> >> >> fundamental
> >> >> laws of physics that prevents nano machines from doing the same
> thing,
> >> >> or
> >> >> better and MUCH faster.
> >> >>
> >> >>   John K Clark
> >> >>
> >> >>>
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> >
> >
> >
> > --
> > Mindey I.
> > 0x5F5CC7AD
> > https://mindey.com
> > Scientific Computing
> > & Web Applications
> > Phone: tel.mindey.com
> >
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-- 

*Mindey I.*0x5F5CC7AD
https://mindey.com
Scientific Computing
& Web Applications

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