The machine cannot understand Chaos; neither can man! Both employ Order construction methods, stemming from self, which results in constructing arbitrary Order entities perceived from Chaos.
“We now understand how very complex and even apparently intelligent phenomena, such as genetic coding, the immune system, and low-level visual processing, can be accomplished without a trace of consciousness. But this seems to uncover an enormous puzzle of just what, if anything, consciousness is for. Can a conscious entity do anything for itself that an unconscious (but cleverly wired up) simulation of that entity couldn't do for itself?”
— Daniel Dennett
— Daniel Dennett
“There’s nothing inherently wrong with seeing a face in a taco shell; it’s just a by-product of our evolved perceptual systems, like many of the other illusions to which humans fall prey. Our skills in this regard are so nuanced and powerful that even multimillion-dollar petaflop supercomputers still struggle to match us.”
— Steven Novella, The Skeptics' Guide to the Universe
— Steven Novella, The Skeptics' Guide to the Universe
“The real question is not whether machines think but whether men do. The mystery which surrounds a thinking machine already surrounds a thinking man.”
— B. F. Skinner
— B. F. Skinner
Robustness versus brittleness
If a software system:
• can cope with errors
• can handle erroneous input
• allows modifications to its source code without losing reliability
it is said to be robust and not brittle.
Follow these principles to ensure robustness:
• Users may intentionally try to break your code
⇒ Disallow all such possibilities
• Users may try incorrect inputs
⇒ Display appropriate messages to inform the user
• When providing a higher level means to a lower level access, the interface may allow loopholes
⇒ Reenforce interfaces
• Nothing is impossible: the code may be modified later and this may turn an impossible case to a possibility
⇒ Treat impossibility as unlikely
If a software system:
• can cope with errors
• can handle erroneous input
• allows modifications to its source code without losing reliability
it is said to be robust and not brittle.
Follow these principles to ensure robustness:
• Users may intentionally try to break your code
⇒ Disallow all such possibilities
• Users may try incorrect inputs
⇒ Display appropriate messages to inform the user
• When providing a higher level means to a lower level access, the interface may allow loopholes
⇒ Reenforce interfaces
• Nothing is impossible: the code may be modified later and this may turn an impossible case to a possibility
⇒ Treat impossibility as unlikely
Obeying artificial laws before personally concluding them is irrational.
A fair judge is an unbiased judge.
A self-aware subject is biased.
A subject cannot be a fair judge.
A self-aware subject is biased.
A subject cannot be a fair judge.
#Nile
Recur
- is a syntactic construct used in recursive functions, especially helpful in anonymous recursive functions and scripts:
Recur
- is a syntactic construct used in recursive functions, especially helpful in anonymous recursive functions and scripts:
{if x==0 return 0 else if x fits even return recur(x/2)/2 else return recur((x-1)/2)/2-0.5}
ComputerScientist
#Python The Zen of Python Beautiful is better than ugly. Explicit is better than implicit. Simple is better than complex. Complex is better than complicated. Flat is better than nested. Sparse is better than dense. Readability counts. Special cases aren't…
#Nile
Guidelines
when faced with an ambiguity, choose the obvious option based on the mixed contexts, if none or more than one exist, report back and do nothing.
Guidelines
when faced with an ambiguity, choose the obvious option based on the mixed contexts, if none or more than one exist, report back and do nothing.
#mathematics
Tensor
Tensors are generalizations of scalars (that have no indices), vectors (that have exactly one index), and matrices (that have exactly two indices) to an arbitrary number of indices.
A tensor of rank|order n is a mathematical object that has n indices|dimensions|axes
• A scalar is a 0-dimensional tensor.
• A vector is a 1-dimensional tensor.
• A matrix is a 2-dimensional tensor.
• ...
Etymology: from the Latin word tendere meaning "to stretch"
Applications: data science, machine learning, computer vision, field theory, elasticity, fluid mechanics, general relativity, etc.
Tensor
Tensors are generalizations of scalars (that have no indices), vectors (that have exactly one index), and matrices (that have exactly two indices) to an arbitrary number of indices.
A tensor of rank|order n is a mathematical object that has n indices|dimensions|axes
• A scalar is a 0-dimensional tensor.
• A vector is a 1-dimensional tensor.
• A matrix is a 2-dimensional tensor.
• ...
Etymology: from the Latin word tendere meaning "to stretch"
Applications: data science, machine learning, computer vision, field theory, elasticity, fluid mechanics, general relativity, etc.
“The mind of man may be compared to a musical instrument with a certain range of notes, beyond which in both directions we have an infinitude of silence.”
— John Tyndall
— John Tyndall
“We used to think that if we knew one, we knew two, because one and one are two. We are finding that we must learn a great deal more about 'and'.”
— Arthur Eddington
— Arthur Eddington