Considering that training is extracting the main features of a dataset, there is always some data that is discarded as “noise” in the process, then when data is generated, that discarded information is filled back with actual random noise to partially replicate the original data.

Iterate and you’re going to end up with progressively less meaningful features. I just didn’t expect it to take only 5 iterations, that’s a lot of feature loss in training even with so many parameters.

Thanks, I was just testing the bot, but something failed. Thanks for the tldr, yea I guess electrolysis only pays for aluminum, because there is no other way to get it :/ maybe hydrogen too.

Maybe the best option for plastic that ensures it won’t end up in nature and is not too expensive is incineration powerplants.

@AutoTLDR@programming.dev

@AutoTLDR@programming.dev

I think you need to graph-traverse the “Instances” link at the bottom of the page for all communities to map it all. I’m actually working on this as we speak.