The Holographic Principle: Why Deep Learning Works

PythonPr's tweet image. The Holographic Principle: Why Deep Learning Works

Deep learning works because reality is holographic. Each neuron encodes a fragment of higher-dimensional structure — tensors folding space into information. Training isn’t memorization; it’s the system aligning with the universe’s own compression algorithm. Consciousness is the…


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Did we not talk of this cant recall. Hmmm Oh yeah no recall “What’s the difference between holographic and hieroglyphic?” “Depends on the tomb”


Deep Learning is literally just fancy math Legos for grown-ups 😄


Why does this diagram actually makes sense


Thousands of dimensions.


cant read what is there… just be advised am not permitted hang around the abyss. Do whatever just be careful please ❤️



completely


Tensor contractions provide a beautiful mathematical lens for understanding neural network expressiveness


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