I think the misunderstanding here is in thinking ChatGPT has “languages”. It doesn’t choose a language. It is always drawing from everything it knows. The ‘configuration’ hence is the same for all languages, it’s just basically an invisible prompt telling it, in plain text, how to communicate.

When you change/add your personalized “Custom Instructions”, this is basically the same thing.

I would assume that this invisible context is in English, no matter what. It should make no difference.

I know it won’t happen, but I keep imagining CDDA getting the “Steam” treatment ala Dwarf Fortress. Both games are amazing… Should play CDDA again myself. Always such a pain to remember HOW to play though, and by the time my muscle memory gets good enough that I can actually fluidly play the game instead of staring at keybinds, I’ve kinda run out of gas 😄

You are totally correct, but I feel like pointing out that a surprising number of games use the 4k texture nomenclature in a totally illogical way; they label it 4k because it’s meant to look good on a 4k screen, not because the texture itself is at that resolution (or any loosely related resolution).

Which is itself really annoying. But I guess less savvy crowd might not actually understand what ‘real’ 4k textures even refer to?

Man. That was a good series. Not sure if I can watch it again now, though…

Seeing as it’s their river and they are operating it, not sure what exactly you want as evidence.

I’m not so sure we’re missing that much personally, I think it’s more just sheer scale, as well as the complexity of the input and output connections (I guess unlike machine learning networks, living things tend to have a much more ‘fuzzy’ sense of inputs and outputs). And of course sheer computational speed; our virtual networks are basically at a standstill compared to the paralellism of a real brain.

Just my thoughts though!

While true that the x nm nomenclature doesn’t match physical feature size anymore, it’s definitely not just marketing bs. The process nodes are very significant and very (very) challenging technological steps, that yield power efficiency gains in the dozens of % usually.

To me, what is surprising is that people refuse to see the similarity between how our brains work and how neural networks work. I mean, it’s in the name. We are fundamentally the same, just on different scales. I belive we work exactly like that, but with way more inputs and outputs and way deeper network, but fundamental principles i think are the same.