[gremlinsinc]

well, i was thinking more like..... something that could spit out an android app because it's source is 5k android apps binary/hex code...i.e. it goes off internals, basically its a model of models. So it could find some common ground between all models, and create a new model that's the best of all of them. Then add itself to that list of models, and start up the next generation to do it all over again, including itself, and keep repeating until it can't get any better maybe, or until it finds a new way of doing training, or something. I guess I'm looking for a way to speedup the ai singularity when ai can build upon itself, or really learn like a human -as in receive new input and it's added to the whole of the thing in real time.

[spywaregorilla]

That's mostly a shortcut to making the model worse rather than better because it'll just continually get more obsessive having learned about its own biases.

It's viable if you have tools or humans in the loop to comment on them and add new insights.

But the speed isn't really a factor here, and seeing 1000 new apps isn't obviously going to make it better if the model is already at the limits of what it can represent with its parameter count and compression so to speak.