You’ll never believe it, but I just invented a new type of AI a few seconds after reading your comment.
I call it OSIRGT: One-Shot Immediate Regurgitation Generative Transformer.
It starts out as an empty model of variable-count weights ranging from 0 to 255 between a linear sequence of parameters. Whenever you feed it training data, it uses the incoming stream of bytes to adjust the weight at position n to log2(2^k) * n^0 where k is the incoming byte. After a weight is updated, n is increased by 1 and the process repeats until all training data is consumed. To use the model, provide a finite stream of zeroes and it transforms the 0 into another number based on the weight between the current parameter and the next one.
You may be asking yourself, “isn’t that just an obtuse way to create a perfect copy of something?”
And to that, my good human, I say: shut up and use this open-source model training program with a built-in BitTorrent client.
You’ll never believe it, but I just invented a new type of AI a few seconds after reading your comment.
I call it OSIRGT: One-Shot Immediate Regurgitation Generative Transformer.
It starts out as an empty model of variable-count weights ranging from 0 to 255 between a linear sequence of parameters. Whenever you feed it training data, it uses the incoming stream of bytes to adjust the weight at position
ntolog2(2^k) * n^0wherekis the incoming byte. After a weight is updated,nis increased by 1 and the process repeats until all training data is consumed. To use the model, provide a finite stream of zeroes and it transforms the 0 into another number based on the weight between the current parameter and the next one.You may be asking yourself, “isn’t that just an obtuse way to create a perfect copy of something?”
And to that, my good human, I say: shut up and use this open-source model training program with a built-in BitTorrent client.