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Super Artificial Intelligence, a naive approach

This is great. You've copied the code verbatim from this guy's master thesis, only adding a bunch of illucid comments, and every commit is commented "_commit_."

I don't think you actually know how to program.

I actually do know how to code a little:

ProgrammingGodJordan said:
(a) A scratch written programming language (plus Ide) of mine:
https://github.com/JordanMicahBennett/CONSCIENCIA


(b) A scratch written artificial neural network:
https://github.com/JordanMicahBennett/SYNTHETIC-SENTIENCE


(c) A neural net for heart irregularity detection:
https://github.com/JordanMicahBennett/EJECTION-FRACTION-IRREGULARITY-DETECTION-MODEL


(d) A scratch written operating system interface:
[IMGw=900]http://i.imgur.com/3DOlL6J.jpg[/IMGw]

https://github.com/JordanMicahBennett/BRAIN-UNIVERSE-SYNONYMOUS-INTERFACE


(e) A scratch written quasicrystal based algorithm for novel ai navigation:

https://github.com/JordanMicahBennett/MORPHING-SOMATIC-QUASICRYSTAL-NEURAL-NETWORK

et cetera




FOOTNOTE(0):

Anyway, the "thought curvature' repository may or may not be updated in three months, in a separate programming language.

Lu's thesis, or any other causal paradigm, is merely one of a sequence of components for the target algorithm.

Separately, including a reference to Lu's thesis in your comment is redundant, as that had long been done in my repository's readme, in its initial line.



FOOTNOTE(1):


If one understands machine learning, one would trivially recognize that Lu's thesis does not solely suffice to perform reinforcement learning.
 
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Wow. How embarrassing. Did you really mean to post that?

I don't experience such qualities.

It is perhaps observable that mankind is yet to invent artificial general intelligence.

And so, in attempting such a feat, I scour the web. (Even in places that exhibit exorbitantly low probabilities of sensible data expressions)
 
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So...the proof that this is "slightly beyond the hypothesis stage" is that someone else has authored some code which "does not solely suffice to perform reinforcement learning"?
 
ProgrammingGodJordan: Lies about Christopher Lu's code from Lu's Master's thesis

It is slightly beyond the hypothesis stage. ...
23 March 2017 ProgrammingGodJordan: Lies about Christopher Lu's code from Lu's Master's thesis.

You've copied the code verbatim from this guy's master thesis, only adding a bunch of illucid comments, and every commit is commented "_commit_."
You do acknowledge Christopher Lu as the author but all you do is add gibberish comments at the start - so explicit lies from a programing "God" :jaw-dropp!
 
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23 March 2017 ProgrammingGodJordan: Lies about Christopher Lu's code from Lu's Master's thesis.


You do acknowledge Christopher Lu as the author but all you do is add gibberish comments at the start - so explicit lies from a programing "God" :jaw-dropp!

What lie did I supposedly express regarding Christopher Lu?
 
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So...the proof that this is "slightly beyond the hypothesis stage" is that someone else has authored some code which "does not solely suffice to perform reinforcement learning"?

(A)

r7kqGOX.png


Lu's thesis, or any other causal paradigm, is merely one of a sequence of components for the target algorithm.

In other words, Chris's code does not do any reinforcement learning.

I invent the paradigm in diagram (green) above (source a, source b) that may integrate any casual fabric (such as Chris Lu's Code) such that reinforcement learning occurs.





(B)
Lu's work learns 'eta'. I could encode some deep net to reduce 'eta', but it is time-space complex optimal to utilize Lu's fabric.

Learnt eta regime is then comprised into my equation.






FOOTNOTE:
It is not odd in science, when one uses prior knowledge. (Such is science's nature)

In other words, it isn't odd that work exists that aggregates prior works. This is typical science...

Albeit, it appears many beings here are unfamiliar with the scientific process...
 
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BTW, "atheism" minus "theism" = "a".

I use minus here (instead of '\') to denote set subtraction. (note that both appear to be applicable)

So, if we let set A be the sequence of qualities observed in atheism,
and set B be the sequence of qualities observed in theism, A-B (or A\B)
gives the set of qualities that are in A only, and not B.

It is observable that atheists tend to exhibit some degree of theistic like blindness to data. (but that discussion is for another thread)

So, subtracting that theistic like blindness essentially yields non-beliefism.
 
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You won't find any such evidence of such a "lie".

Consider the quote below:

(A)

[qimg]http://i.imgur.com/r7kqGOX.png[/qimg]


(B)
Lu's work learns 'eta'. I could encode some deep net to reduce 'eta', but it is time-space complex optimal to utilize Lu's fabric.

Learnt eta regime is then comprised into my equation.






FOOTNOTE:
It is not odd in science, when one uses prior knowledge. (Such is science's nature)

In other words, it isn't odd that work exists that aggregates prior works. This is typical science...

Albeit, it appears many beings here are unfamiliar with the scientific process...



In other words, my work entails Lu's work, as indicated in the github repository.
 
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Albeit, it appears many beings here are unfamiliar with the scientific process...

You said that what you were presenting was "slightly beyond the hypothesis stage" and, as evidence of this, you linked to someone else's code, which you then described as something which "does not solely suffice to perform reinforcement learning". Why did you offer this as evidence if it is not?
 
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I use minus here (instead of '\') to denote set subtraction. (note that both appear to be applicable)

So, if we let set A be the sequence of qualities observed in atheism,
and set B be the sequence of qualities observed in theism, A-B (or A\B)
gives the set of qualities that are in A only, and not B.

It is observable that atheists tend to exhibit some degree of theistic like blindness to data. (but that discussion is for another thread)

So, subtracting that theistic like blindness essentially yields non-beliefism.

My post.






































Your head.
 
You said that what you were presenting was "slightly beyond the hypothesis stage" and, as evidence of this, you linked to someone else's code, which you then described as something which "does not solely suffice to perform reinforcement learning". Why did you offer this as evidence if it is not?

(A)
Simply, it exists as a fundamental portion of the equations.

Some causal laws of physics are a part of the Supermanifold Hypothesis/Thought Curvature equations.


(B)
Lu's work shows that it is possible to query some mesoscale format in real time.


(C)
Also, deep mind shows that large scale reinforcement learning is possible.

[IMGw=300]http://i.imgur.com/TRoOnjY.jpg[/IMGw]

(D)
Combining (A), (B) and (C) it is perhaps observable that my fabric is possible/time-space complex optimal.

This is long mentioned in the work presented.
 
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