and then maybe on a few big branches you have a nice uh uh flavor animation of a reach but maybe a generation down however long down the line uh you've got a base climbing animations you've animated a few flavor breeches and some you know exhaustion rests and ai is going to plot and path and bend animations and and know to reach around because arms cannot just certain ways collision through a branch but no exactly even little branches how to like snake your arm through it and yeah or ed pathfinded did the weight because i remember uh watching a presentation i know it was it might have been miyamoto himself talking about it but some of their goals back on mario NUMBER_TOKEN. what are their goals one of the reasons they had resisted doing it and one of their goals was not to have mario look dumb running around right so their controls and and getting the bins in and and and uh the they didn't that their goal they spent so much time on the movement and the interaction was was to make him look and feel like mario when he's doing it and not he's a NUMBER_TOKENd character that's a model of mario i i think that is that net one of those next steps is those animations are eventually gonna be more than just playing back animations it's going to be animations as the seed material for the character and what makes their motion special but yeah ai i can see plotting intricate past through brush and knowing when to duck without having some kind of specifically scripted event like the animation ai we'll see that collision coming and then decide how surprised they are by it was it behind something else that we're going to play the version of the of the the duck see some of that yeah you think about characters as they're like crouching to stealthily go through a bush and like instead of just let's be honest right now most of the time clipping through the bushes and gamers have just accepted this in their brain that's how it's done you know you could literally have the brush perfectly move across the materials on their vest and like their hands actually literally push a specific leaf and push it out of the way you know like it's not just like you know canned hand motion leaf moves right you know it's like literally machine learning has allowed us to have all of these combinations from any direction it can do it yeah and is that is that psNUMBER_TOKEN is that further down i don't know but we were we're trying to mentally go through possibilities of the future and i think that is one of the possibilities right and my last guest was an ai guy getting into the field of ai research and he explained how the neural engines actually interface with that like that a a cpu does something really well if it's a perfect answer the cpu says do this it doesn't a gpu is good at solving a list of things that are the same over and over a neural engine can solve like a trillion operations instead of a NUMBER_TOKEN NUMBER_TOKEN that a gpu can do but it's not the perfect answer but if you solve a trillion operations you can say NUMBER_TOKEN this is the answer so you could do that where you have a neural engine and it's like i'm going to touch this bush you take the bush
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