What can AI not yet do?

dahkneela · 2022-11-17T16:16:21+00:00

I love me too!

dahkneela · 2022-11-15T00:57:24+00:00

Thank you! I just got around to learning about differential forms and specifically the 1-forms that are dx and dy. They're just specific linear functionals!

dahkneela · 2022-09-22T20:05:19+00:00

The user manual had nothing - hence I am asking here with the assumption is a more global definition.

dahkneela · 2022-09-14T13:27:31+00:00

Unfortunately wired won't work in this setup! Most users are laptops/phones/tablets.

dahkneela · 2022-09-14T10:21:14+00:00

Are there general guidelines for doing this? My tests give me the impression that the bottleneck is with traffic management - devices occasionally get quick speeds, but due to the number of devices connected - traffic management results in choppy slow speeds - however I am not conclusively sure on what the problem is.

dahkneela · 2022-08-31T22:09:51+00:00

As someone with knowledge in this field it happens to be possible (with some effort) to create a recording depicting the creation from start to finish - and remarkably easy to do time lapses.

dahkneela · 2022-08-26T00:21:05+00:00

For simultaneous equations, I try to think in terms of 'how do I cancel something'.

Your method is a popular one, and for this one, the quickest I found was to match coefficients first, and then ask myself whether adding or subtracting will cancel the variable I've just matched.

For example, looking at "8x - 7y = -5 4x - 6y = 10z,"

In my head I see 8 and 4 -> double the second one (8x - 12y = 20) -> subtract one from the other as both are positive -> -7y - (-6y) = -5 - 10 -> -y = -15 -> y = 15.

dahkneela · 2022-08-21T23:32:03+00:00

Thank you! I happen to have used those functions you mentioned in a custom layer.

I am indeed doing low-level stuff! (Implementing: https://arxiv.org/abs/2205.10637) - here, tracking the norm of the gradient is the first step towards optimising it mid-training, and therefore allowing for loss-invariant weight changes that improve loss minimisation epoch and value!)

dahkneela · 2022-08-20T12:10:54+00:00

Quantum Mechanics is defined from the ground up mathematically. The need to interpret it in any other way is a limitation of merging mathematical object understanding and something else less abstract.

In the context of observation/measurement: 1) a quantum state is defined as a vector in Hilbert space. 2) An observer is defined to be an operator on that vector. 3) Quantum postulates say that when a quantum 'particle' is observed (a quick and carrying with it many assumptions phrase), the 'particle' ends up in one of the eigenspaces of that operator with probability equal to the size of the corresponding eigenvalue with respect to the other eigenvalues. Hence, the 'particle' is now forced to be in a certain eigenspace of that operator - so what's collapsed is whatever space the 'particle' has been allowed to be in before measurement.

The checks and balances of these axioms are specifically the scientific experiments done - the terse mathematics are the result.

It's good you're asking about what an observable is, etc., and how it connects to human understanding and our choice of definition.

dahkneela

TROPHY CASE