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Utoko t1_j29abaq wrote

That is exactly the field where machine learning shines when you have too many variables to account for every small one everywhere.

and we have already very good data as input for it.

Weatherforcast has a giant network of clean data which was just waiting to be used.

For FSD training for example it is different they are slowly building good data.

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OldWorldRevival t1_j2aqsxd wrote

Yep....

I can't wait for a procedural world builder for making video games.

We should be able to make the coolest, most immersive, creative games possible with this tech.

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solidwhetstone t1_j2bckhi wrote

What I think may happen is the games of today will be buildable by teams of one and the big budget games of tomorrow are going to be insane.

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DungeonsAndDradis t1_j2e27vo wrote

"Make me a mod for Fallout 5 to make it true to the Warhammmer 40,000 universe. Add quests that start small as an imperial guardsman, and then scale up to become a rogue trader or inquisitor."

AI: <does it>

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visarga t1_j2awwsp wrote

No, the GP was right, neural nets are not especially suited for this kind of data, it's too large and random. That's why they use graph neural nets, to sparsify the input.

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