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benchmarkist12/09/20243 repliesview on HN

Neural networks use smooth manifolds as their underlying inductive bias so in theory it should be possible to incorporate smooth kinematic and Hamiltonian constraints but I am certain no one at OpenAI actually understands enough of the theory to figure out how to do that.


Replies

david-gpu12/09/2024

> I am certain no one at OpenAI actually understands enough of the theory to figure out how to do that

We would love to learn more about the origin of your certainty.

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dartos12/09/2024

How does your conclusion follow from your statement?

Neural networks are largely black box piles of linear algebra which are massaged to minimize a loss function.

How would you incorporate smooth kinematic motion in such an environment?

The fact that you discount the knowledge of literally every single employee at OpenAI is a big signal that you have no idea what you’re talking about.

I don’t even really like OpenAI and I can see that.

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esafak12/10/2024

There are physicists at OpenAI. You can verify with a quick search. So someone there clearly knows these things.

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