[Tomte]

Yes, we know that there are simpler ways to approximate polynomials than neural networks.

But sure, if you think AGI means solving polynomials, you've done it!

[hacksoi]

I made the direct comparison to neural nets as it uses a very similar method to them (i.e. using weights as parameters and minimizing a cost function via gradient descent) but is simpler (gets rid of layers, neurons, activation functions, etc).

I never stated "AGI means solving polynomials". Based on how far LLMs have come, function approximation seems to play a role in it.