[deltaonefour]

No you're wrong. It's literally creativity. Machine learning models literally work because they fill in gaps where the data doesn't exist.

Any content generated by ML is very unlikely to be anything else other then original.

Imagine linear regression. Then pick a random point on that line. How likely is it that that point on that trend line coincides with an actual data point? Very unlikely.

ML is simply a multidimensional version of this. Some 1000 dimensional surface and the result you see is simply a point on that surface. The likelihood of that point on the surface to coincide with an actual data point is astronomically low.

Nobody is being carried away here. What you are seeing is raw creativity by an AI. It is a highly simplified version of human creativity, but the deep fundamentals are identical.

In fact all intelligence is simply a huge thousands or more dimensional surface. A giant curve fitting methodology. The only gap between ML and human intelligence as of now is the amount of neurons, the training algorithm and the actual template for the equation describing the model. But in essence we have the fundamentals down at a high level.

[visarga]

I agree with what you say and I would add that humans benefit from embodiment. AIs can't experiment like us; we discovered sciences by investigating our complex environment, they have MuJoCo and ATARI. We're also a whole society, AIs are usually individuals in isolation. We benefit from evolution, not just from learning while AIs don't have dicks. It takes a whole branch of industry to make the chips they run on.

That doesn't mean AIs can't have robotic bodies or access complex simulations, they could also have a society or be integrated in ours, and evolutionary techniques could be part of that process. For example AlphaGo got a good enough environment and evolutionary selection of agents, and it topped human abilities very fast. It's only a matter of time until they can have all our advantages.