/sci/ - Science & Math

>>10825687
Grinding grain is a manual labor task. The thing of interest in modern times is the automation of intellectual tasks.
If you just take away manual labor options then sure, you just create more opportunities for new, more thinking based jobs.
If you take away intellectual labor options, there isn't really another domain to escape to. You hear arguments in favor of creative work still being a refuge for humans, but I don't see much reason to believe you need to be made out of meat in order to grok creativity.
I know nobody's impressed anymore by DeepDream after all the dog pictures got spammed to death, but at the time it came out my personal impression was amazement at how much it (more specifically the style, not the subject matter, which again, was at the time a bunch of dogs read into non-dog pictures) reminded me of stereotypical psychedelic compound induced visuals.
And just to head this off because I can already feel this response coming: No, I'm not falling victim to some naïve layman's misunderstanding of how ML works. I'm a software developer, have been for ten years, and while it's not the only sort of subject matter I've covered I have in fact developed instances of ANN and other ML applications (as in actually developed from scratch in C++, not "developed" in the sense of being one of those non-programmer data analysts who loads up a prefab ML application from TensorFlow or [insert Python library here] or wherever the fuck you types get this shit from).
Still impresses me even knowing how it isn't magic and is all ultimately the result of deterministic processes like minimizing an error function through the adjustment of weighted nodes while iterating through a known / labeled training data set. I don't see any evidence at all our own brains are any less ultimately reducible to deterministic processes. If anything, biological brains are more convoluted, which isn't saying much since so are weather phenomena.