Hybrid semiflexible artificial neural network decryption cluster

## hybrid ANN decryption project: artificial neural networks decryption

We should include a flexible ANN, but it should better be a totally separate network (with few crucial feedback inputs from other ANNs). The whole point is to create an Artificial Neural Network Cluster. It should have some compartmentalization (some sub-ANNs should take input from other ANNs, and others not). The Artificial Neural Network Cluster = brain ANN (not just a neural network but it starts becoming a brain) should test many alternative decryption approaches and exported renderings and compare them. Hybrid ANNs along with typical ANNs should be used.

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Many people, even officially, have worked on the field of ANN decryption, but without proper funding and correct methodology. The field of study of artificial neural network decryption is basic knowledge, and many countries work on it. How to do it: start training the Artificial Neural Network Decryptor with small files, and various forms of encryption and then decryption. Help a lot the system at the beginning, give it clues on various decryption approaches: use hybrid ANN = true ANN without any program-based help, working alongside a program-based ANN based on standardized approaches which do expand when a newly tested ANN approach works well (it's difficult to convert the ANN programming into a standardized non-ANN program, but it's doable). A supercomputer should do the task, checking alternatives (alternative outcomes). Some percentage (half and half isn't usually correct; different quests require different percentages of task division per subnetwork of the Artificial Neural Network Cluster [units should be able to change processing modes with hybrid ANN controllers; hybrid means ANN + typical non-ANN programming]) of the units should use classical ANN and the other part of the overall group should use ever-expanding non-ANN programs which control a sub-ANN (the non-ANN pattern detector program should be self-expandable = this is insanely difficult because it might lead to harmful junk programs, thus the program expansion should be well filtered for cancerous programming = harmful junk; it is difficult but doable). The whole point is to create many alternative erroneous decryptions and one might be correct. It's not like looking at random because both the ANN and the hybrid ANN (the expandable non-ANN controller program of the sub-ANN also performs pattern recognition, and together with its sub-ANN is a hybrid ANN; but we still have to use it in tandem with a totally separate typical ANN to create a test cluster).

Supercomputers clone this process of course. We don't use a single ANN a single Flexible ANN and a single hybrid ANN to create the overall ANN Cluster. We use a supercomputer and we clone the subsystems to create a Brain ANN (not just a neural network, but an impersonal brain [the Personhood-yielding ANN = Personhooded ANN is achievable but that's a separate topic]).

All these ideas sound fun, but: 1. good scholars know them, 2. it sounds easy to explain but actually building the ANN Decryption Cluster is very hard, but doable.

## probability density + voxelated 3D map of alternative decryptive approaches

The BOSU BALL biasing helper used as a choice mode controller (many BOSU biasers are actually used, each connected to different clusters; limited information sharing is allowed amongst different ANN Clusters, to faster test promising cues for decryption patterns). Imagine a voxelated sphere. Each voxel represents a different decryption mode. Each decryption mode gets a probability weight of being closer to the actual decryption = decryption probability weight per voxel which represents a different decryptive approach.

A more correct representation doesn't result in a sphere, instead the result is many anomalous separate shapes (with gaps), because the 3D clustering of the approaches should have mathematical explanations; thus esthetics plays no role. A hot region is a range of possible techniques for decryption that have a higher probability to work for a particular task. The probability density anomalous shapes evolve as the network cluster tries to decrypt the encrypted message. Even the hot spots (possible range of good techniques for decryption of a particular message or encryption mechanism) change the more the system works on a particular decryption.

It's a necessary tool.