But every time someone gets on their soapbox in the comments it’s like they don’t even know the first thing about the math behind it. Like just figure out what you’re mad about before you start an argument.

The math around it is unimportant, frankly. The issue with AI isn’t about GANN networks alone, it’s about the licensing of the materials used to train a GANN and whether or not companies that used materials to train a GANN had proper ownership rights. Again, like the post I made, there’s an easy argument to make that OpenAI and others never licensed the material they used to train the AI, making the whole model poisoned by copyright theft.

There’s plenty of uses of GANNs that are not problematic. Bespoke solution for predicting the outcomes of certain equations or data science uses that involve rough predictions on publically sourced statistics (or privately owned.) The problem is that these are not the same uses that we call “AI” today – and we’re actually sleeping on much better uses of neural networks by focusing on a pie in the sky AGI nonsense being pushed by companies that are simply pushing highly malicious, copyright infringing products to make a quick buck on the stock market.