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There are some partial list of principles. These principles are general but NOT abstract (ephemeral). They hide irrelevant details behind them, just like proper abstractions do, but have no contradictions or inconsistencies with What Is.

Everything you know (or think you know) is socially conditioned using a spoken human language and a shared culture.

When you grow up and eventually learn more than one language and culture you will realize that the principles are exactly the same everywhere. Techniques differ only in particular details.

Philosophy of the mind goes back to the times of early Upanishads and is based on the insights gained through introspection.

The fundamental principle is that to know what lies around one has to understand what lies “within”.

The brain acts upon its own (conditioned) representations of reality outside your head, never on reality itself.

These representations are essentially wast tree-like structures inside your brain.

Knowledge is in the “weights” (in “trained” synapses).

to turn attention “inward” - onto the mind itself - its processes, modes, and emotions, which interfere and actually evolved to “hijack control”.

Neural networks, which are modeled mathematically, programmed and trained by humans on some predefined data sets are subject to the very same principles of social conditioning as human minds.

Every pattern such network “learn” to recognize (so-called Deep Learning is just pattern-recognition) is determined by what inputs (and labels - hence supervised learning) it has been exposed to.

It is well-known fact that inconsistency in a training set will lead to arbitrary nonsensical responses from the network. Patterns it ought to recognize has to be real (which implies non-contradictory and stable).

I am fond of writing vedantas, I sometimes write one after finishing my morning run.