Descartes' logic (i.e. "cogito, ergo sum") is I think, therefore I am. Modern Western culture and civilization is based on this bias. That is, consciousness is the governor of cognition.
Formulations of free will and the hard problem of consciousness are manifestations of this logic. The inversion of this logic, that intuition (i.e. what's below consciousness) is what drives cognition is not as well known or accepted by society.
It's a commonly held belief that the unconscious is an unruly and untamed mind. It is the mind of beasts. The feral mind where if it were not for the governance of the conscious that all hell will break loose. One loses his mind when the governor fails.
In physics and mathematics, the term 'degenerate' is used often. Degenerate is used in its old meaning where it means 'to lose its original identity'. A degenerate energy state is one that is not from a unique quantum state. A degenerate triangle is one with sides of zero length.
The word degenerated has also been co-opted to describe people. It is a derogatory word. To lose one's identity is associated with losing one's mind. What is identity other than one's self?
In the inverted logic of intuition as the core of cognition. That is intuition being the mechanism that maintains the self (in my model, many selves), the degeneration of the mind happens below our consciousness.
The intuitive mind is always aware of implicit information of its environment and tacit knowledge in its mind. It is in constant balance between the present, the past so it can condition its future.
But where does it learn the heuristics to perform this balance? Humans are unique in that our growth stage lasts for a little over 20 years. Our interactions with the world create the heuristics our intuition employs. We construct our cognition over a prolonged period.
Our consciousness is a manifestation of this accumulated intuition. An alternative way to think of this is that our brains develop an internal and private neural language. This language is 'spoken' in the brain, but all our thoughts can only be expressed in this language.
It would be a mistake to argue that this private neural language is the same for everyone. The neural code is very unlike the machine code that is shared by computers. You can upload new software into computers because they share the same machine code. Not possible for brains.
This is because the 'manufacturing' of brains happens through a lifetime of a person. To upload or download knowledge requires an improbable encryption and decryption algorithm.
Geniuses like Einstein and Picasso create their minds through years of systematic interaction with their craft. Einstein had been dreaming all his life as to how it feels to be riding on a photon. While he wasn't daydreaming, he was fine-tuning his systematic thinking.
Systematic thinkers have a different private neural language than people who have never made it a habit to think systematically. That is why it should be no surprise to anyone why a majority of the population cannot seem to follow the consistency of arguments.
We are our unique identities because we have constructed a unique private neural language that serves as code that drives our intuition. We are a self not because we can reflect on our thoughts but because we are an expression of the totality of our experiences.

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More from @IntuitMachine

6 Feb
The two main areas of metaphysics involve ontology (i.e. what is reality) and epistemology (i.e. how do we know what we know). These two areas are unified under the same tent of Turing computation.
The idea of the universe being a computer is an old one. I believe Konrad Zuse was the earliest person to propose this idea. (Let me know if I am wrong here!). I don't think one can make a distinction between causation and computation other than that the latter is more general.
Epistemology, how we know what we know is bounded by Turing's theory. It is known as the halting problem. That is, there are limits to what one universal Turing machine can predict from observing another Turing machine.
Read 12 tweets
5 Feb
Thanks to Twitter, I've stumbled upon two must-watch videos that reveal a very important aspect of human minds that we often ignored. The brain's purpose is homeostasis, but what happens when we lose this purpose?
In the first video, Jill Bolte Taylor describes her experience when a stroke damaged the left hemisphere of her brain.
It is important to watch that video before proceeding. In the next video, the author describes his experience with a syndrome described as 'depersonalization'. aeon.co/videos/the-dar…
Read 17 tweets
4 Feb
Nobody really has a good theory of how brains work. Yet we keep hearing people saying that artificial neural networks are not biologically plausible. Who anointed these folks to be the thought police of what is plausible?
A mistake that too many make about artificial neural networks is that they are implementation models (see: Marr's level of explanation). They are not! They are algorithmic models. When you realize this, the question of biological plausibility should be thrown out.
I think Pylyshyn's mapping of the semantic, syntactic and physical to Marr's computational, algorithmic and implementation is just wrong.
Read 12 tweets
3 Feb
Do you think fractals (i.e. iterative and self-similarity) are weird? Well, it isn't as weird as biological iterative processes. medium.com/intuitionmachi…
What's even weirder is that humans have an intuition that something appears organic. What does it actually mean to have an organic design?
Christopher Alexander, an architect, who wrote 'A Pattern Language' that has immensely influenced software development, wrote four books exploring this idea (see: Nature of Order).
Read 21 tweets
3 Feb
Have you ever realized that the big ideas in Deep Learning are just formulations of very old ideas. Generative Adversarial Networks (GANs) @goodfellow_ian is just Hegel's dialectic (i.e. thesis and antithesis hence synthesis).
That @DeepMind @demishassabis Alpha* self-play is just the Socratic method. en.wikipedia.org/wiki/Socratic_…
That skip connections are just a formulation of small-world networks.
Read 9 tweets
2 Feb
Does anyone ever become conscious of how they know how to ride a bicycle? Have you ever tried explaining to a child how to ride a bicycle? The child learns when they overcome their fear rather than understanding your explanation.
We understand how to ride a bike becoming familiar with the interaction. Although a bike is an unnatural thing with wheels, we are still able to mentally make it an extension of our bodies.
We are never really conscious of how we are able to do many things we do in life. If we did, then we could easily specify the rules for a robot to do the same thing. But we don't know how we do things.
Read 18 tweets

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