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.

It wasn’t that bad, gold just signals that the comment is good (intensity), but some of the other awards made explicit the way in which it is good (hue/flavour) e.g. funny, informative, creative, sarcastic…I actually liked the award system (even if I always was a bit suspicious of who was giving them and what their intentions were)

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.

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