KYRRO

2 ms·

1. 1.▲
   by KYRRO 8mo ago

   The interesting part is that its then not possible for true AGI with the current approach, since there is no ceiling/boundaries to "contain" it?
2. 2.▲
   by KYRRO 8mo ago

   Ah, this actually connects a few dots for me. It helps explain why models seem to have a natural lifetime, once deployed at scale, they start interacting with and shaping the environment they were trained on. Over time, data distributions,
3. 3.▲
   by KYRRO 8mo ago

   I have a question. With the logic of neural networks, and pattern recognition, is it not then possible to "predict" everything in everything? Like predicting the future to an exact "thing"? Is this not a tool to manipula