[benchmarkist]

I've seen the quality of OpenAI engineers on Twitter and it's easy enough to extrapolate. Moreoever, neural networks are not black boxes, you're just parroting whatever you've heard on social media. The underlying theory is very simple.

[dartos]

Do not make assumptions about people you do not know in an attempt to discredit them. You seem to be a big fan of that.

I have been working with NLP and neural networks since 2017.

They aren’t just black boxes, they are _largely_ black boxes.

When training an NN, you don’t have great control over what parts of the model does what or how.

Now instead of trying to discredit me, would you mind answering my question? Especially since, as you say, the theory is so simple.

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

[benchmarkist]

Why would I give away the idea for free? How much do you want to pay for the implementation?

[mech422]

cop out... according to you, the idea is so obvious it wouldn't be worth anything.

[dartos]

lol. Ok dude you have a good one.

[benchmarkist]

You too but if you do want to learn the basics then here's one good reference: https://www.amazon.com/Hamiltonian-Dynamics-Gaetano-Vilasi/d.... If you already know the basics then this is a good followup: https://www.amazon.com/Integrable-Hamiltonian-Systems-Geomet.... The books are much cheaper than paying someone like me to do the implementation.

[chillfox]

Seriously... The ability to identify what physics/math theories the AI should apply and being able to make the AI actually apply those are very different things. And you don't seem to understand that distinction.

[benchmarkist]

Unless you have $500k to pay for the actual implementation of a Hamiltonian video generator then I don't think you're in a position to tell me what I know and don't know.

[dartos]

Yeah I mean I would never pay you for anything.

You’ve convinced me that you’re small and know very little about the subject matter.

You don’t need to reply to this. I’m done with this convo.

[benchmarkist]

Ok, have a good one dude.