The main idea here is that current programming languages describes mostly parametric executable commands (grammatically known as imperative mood ) and lack of expressing parametric observations (grammatically known as realis mood ). The observation is done by using the same commands created in imperative mood. A novel pattern matching based algorithm can connect the two grammatical mood, so we can synthetize regular programs from descriptions. This process looks very similar to a Transformer present in current LLMs. We can also create other algorithms currently present only in neural network, such as back propagation and image recognition. There is a proof of concept implementation for this therory in a fully debugable C++ form. MIT license, Github repo, C++ code, paper here. https://github.com/hun-nemethpeter/InfoCell The “Paper” is the root Readme and not fully finished but I working on it. submitted by /u/hun_nemethpeter
Originally posted by u/hun_nemethpeter on r/ArtificialInteligence
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