Re: [agi] Re: Noise and Confirmation Bias

[rouncer81]

exactly.
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Re: [agi] Re: Noise and Confirmation Bias

[keghnfeem]

 They have has some luck.

Did Google Just Achieve 'Quantum Supremacy'?
https://www.youtube.com/watch?v=kyuf1zt-TpU


 But for computing they are doing all wrong. If the want to do it right they 
should 
do in base on my superlumanit processor. Q bits is not a good way of storing 
information.
 My processor will not be as fast as fantasy quantum processor that they have 
been talking 
about for awhile. But it will be a lot faster than than what they got right now 
in semi conductors.




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Re: [agi] Re: Noise and Confirmation Bias

[rouncer81]

soorrryy... i apologize...  i mean "stupid" women,  not women.  sorry lana and 
soph.
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Re: [agi] Re: Noise and Confirmation Bias

[rouncer81]

Keghn,  P vs NP is on the cusp of the possible,  it may or may not be,  but its 
a place you can go as a programmer if its true,    note all quantum computers 
on the internet are fake...  they are just retarded theories probably started 
by women.
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Re: [agi] Re: Noise and Confirmation Bias

[keghnfeem]

Brownian nose. Ya, try to compress that.
Distribution can be done with a traveling window nested traveling window 
algorithm. One
for your seed size, bit, nibble, byte, word, or other. The other is size of the 
window or the
amount of date taken in at a time. This will give a model of many levels but 
only dwell 
on the sweet spot that give meaning full information in P versus NP time.
 


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Re: [agi] Re: Noise and Confirmation Bias

[rouncer81]

apples can be bananas but bananas can only be apples if apples are bananas.
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Re: [agi] Re: Noise and Confirmation Bias

[John Rose]

well lossy can be lossless but lossless can only be lossy when lossy is 
lossless...
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Re: [agi] Re: Noise and Confirmation Bias

[rouncer81]

John Rose, thanks for the wonderful poetry gleaming in my eyes
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Re: [agi] Re: Noise and Confirmation Bias

[John Rose]

yeah it doesn't matter they both have their place and can be mixed though there 
is some crossover but that might just be special cases of each... still makes 
you wonder though :)  Why invite distraction
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Re: [agi] Re: Noise and Confirmation Bias

[rouncer81]

lossless and lossy are logically opposite, let alone any vernaculaic use.
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Re: [agi] Re: Noise and Confirmation Bias

[John Rose]

Well at the time I thought I had theoretically developed a general lossless 
compression algorithm but then I wound up in the hospital because I drove 
myself into the ground so it brings back stressful memories... I usually stop 
at this point and listen to others...
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Re: [agi] Re: Noise and Confirmation Bias

[James Bowery]

Well, if there is a definition of "lossy" that is consistent with
"lossless" it certainly isn't in the vernacular nor in the canonical
technical usage of those terms.

What's you argot?

On Thu, Oct 10, 2019 at 1:31 PM John Rose  wrote:

> On Thursday, October 10, 2019, at 2:26 PM, James Bowery wrote:
>
> KC can be approximated *only* with lossless compression.
>
>
> Thanks for that valuable tidbit, but did you imply earlier that lossy and
> lossless are mutually exclusive? I'm not convinced of that but am not an
> expert  even though I spent some time in the 90's exclusively on
> compression research.
>
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Re: [agi] Re: Noise and Confirmation Bias

[John Rose]

On Thursday, October 10, 2019, at 2:26 PM, James Bowery wrote:
> KC can be approximated *only* with lossless compression.

Thanks for that valuable tidbit, but did you imply earlier that lossy and 
lossless are mutually exclusive? I'm not convinced of that but am not an expert 
 even though I spent some time in the 90's exclusively on compression 
research.

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Re: [agi] Re: Noise and Confirmation Bias

[rouncer81]

methinks ppl here know something about somethin i dont...
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Re: [agi] Re: Noise and Confirmation Bias

[James Bowery]

Yes, approximations of KC are critical to anyone serious about AGI, but
keep in mind KC can be approximated *only* with lossless compression.

On Thu, Oct 10, 2019 at 1:21 PM John Rose  wrote:

> Kolmogorov Complexity is estimable it helps.
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Re: [agi] Re: Noise and Confirmation Bias

[rouncer81]

That sounds like a world of thought there,  im not schooled in.
But Ockhams razor means things to me,   in engineering, if its simpler it 
usually is better,  its like a sentence with a more concise and compact 
meaning.    then the rest of the inventions hit the razor, and they never see 
the light of day, because the winning invention was too good, easier to do,  
and worked better.  :)
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Re: [agi] Re: Noise and Confirmation Bias

[John Rose]

Kolmogorov Complexity is estimable it helps.
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Re: [agi] Re: Noise and Confirmation Bias

[James Bowery]

Confirmation bias is violation of the "necessity" in Ockham's Razor: Do not
multiply entities beyond necessity.  The choice to eliminate observations
that you _think_ are "noise" or you _think_ have no implication for shaping
models to be more predictive, is unjustifiable in the limit of Solomonff
Induction if, for no other reason, than that SI's reliance on Kolmogorov
Complexity is uncomputable.

On Thu, Oct 10, 2019 at 1:04 PM  wrote:

> I dont know what you mean by confirmation bias,  but lossy matching is
> definitely imo the most important thing a neural network does for people.
> even tho its actually slower, and exact lossless matching is quicker,
> starts off simpler to code, but ends up more complex in the end to get to
> actually do anything any good.
>
> But confirmation bias???
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Re: [agi] Re: Noise and Confirmation Bias

[John Rose]

Are there any unbiased lossy compression algorithms? I would speculate that 
it's possible but practically assume there are none.
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Re: [agi] Re: Noise and Confirmation Bias

[keghnfeem]

 Perfect noise should not be biased.
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Re: [agi] Re: Noise and Confirmation Bias

[keghnfeem]

 When a steady five value is bit streamed into a detector and and is subtracted 
from
previous sampled, the values should be zero. BUT if look at it through a 
microscope and
record them into a file and they bounce  at around at a  two bit value and if 
there is a equal amount of recorded 
a, b, c, and d values and no clumping of them then perfect noise has been 
found. 



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Re: [agi] Re: Noise and Confirmation Bias

[rouncer81]

I dont know what you mean by confirmation bias,  but lossy matching is 
definitely imo the most important thing a neural network does for people. even 
tho its actually slower, and exact lossless matching is quicker, starts off 
simpler to code, but ends up more complex in the end to get to actually do 
anything any good.

But confirmation bias???
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Re: [agi] Re: Noise and Confirmation Bias

[keghnfeem]

Huffman coding\n for data compression.
    nibble system
https://www.techiedelight.com/huffman-coding/

  | 
 
                                          /\

                                        / \
                                       0     /  \   1
                                             /      \   
   
                                          /           \  
                                     10               \    11   
                                                       /  \ 
  
                                                     /      \   
  
                                                  /           \  
                                            110            1 11   

DNA id s nibble base number system. 

 000 could be A

So could be the following for now:
00 =A
01=B
10=C
11=D

 So if we had a saved file of randomly generated nibble and the average amount 
of A's,
B's, C's, and D's are all in equal amounts then randomation is perfect and 
there is no
repeating pattern and clumping.  

 Nibble is a two digit seed
3:28 minutes into the video:
https://www.youtube.com/watch?v=itaMNuWLzJo


 A completely random nibble file would have only seed sequences of:

abcd abdc acbd acdb adbc adcb
bacd badc bcbd bcdb bdac bdca
cabd cadb cbad cbda cdab cdba
dabc dabc dbcd dbdc dcab dcba  

 or  24 seeds which means complete chaos and maximum. Which is a five bit value.
 So A chaos algorithm be used to get even more compression.
 Example abcd is eight bit in size.

 If Huffman coding is used again the file would get bigger. 

 Eight bit would turn into eleven bit seed value. 


 If the file was very compressible then it would have a lot of seed fragment:

ab ac ad
ba bc bd
ca cb cd
da db dc  12

abc acb abd adb acd adc
bac bca bad bda bcd bdc
cab cba cad cda cbd cdb
dab dba dac dca dbc dcb    24


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Re: [agi] Re: Noise and Confirmation Bias

[John Rose]

Explosive logorrhea, that's when you can't control your decompression.
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Re: [agi] Re: Noise and Confirmation Bias

[James Bowery]

Methinks the torrent responding to John Rose's self-contradictory question
is an example of Explosive Logorrhea.

On Thu, Oct 10, 2019 at 11:12 AM John Rose  wrote:

> ya there must be some existing hybrid out there
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Re: [agi] Re: Noise and Confirmation Bias

[rouncer81]

what about plastic morph loss,  which helps glue it all together,  and lossless 
is too rigid.
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Re: [agi] Re: Noise and Confirmation Bias

[John Rose]

actually lossylossless is merely lossy with object recognition
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Re: [agi] Re: Noise and Confirmation Bias

[rouncer81]

yes!! =D
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Re: [agi] Re: Noise and Confirmation Bias

[immortal . discoveries]

I used to do that as a kid.
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Re: [agi] Re: Noise and Confirmation Bias

[rouncer81]

lossylossnessness is jpeg compressing a png. :)
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Re: [agi] Re: Noise and Confirmation Bias

[John Rose]

Compressing a neutrosophic or fuzzy logic interpretation into boolean logic. 
That might be lossylosslessness.
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Re: [agi] Re: Noise and Confirmation Bias

[rouncer81]

one unified key structure for every cell its database of never ending garbage.
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Re: [agi] Re: Noise and Confirmation Bias

[John Rose]

the problem with boolean logics is that they're boolean
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Re: [agi] Re: Noise and Confirmation Bias

[John Rose]

then the whole chunk of data maps to one new symbol
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Re: [agi] Re: Noise and Confirmation Bias

[rouncer81]

if its not obvious, theres a chance no-one found it, but it also could mean it 
actually IS impossible.
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Re: [agi] Re: Noise and Confirmation Bias

[John Rose]

How about resolving an alphabet or a language out of data where it is not 
obvious.
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Re: [agi] Re: Noise and Confirmation Bias

[rouncer81]

Explosive compression of brute force searches  =D
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Re: [agi] Re: Noise and Confirmation Bias

[James Bowery]

Explosive 
compression.

On Wed, Oct 9, 2019 at 9:03 PM John Rose  wrote:

> I often wonder, what is the term for compression that is both lossy and
> lossless?
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