I agree, combining GNNs with temporal signals and dynamics graphs make them so expressive.
Another great recent paper on this topic https://arxiv.org/abs/2310.15978
If you want to predict (multiple) time series using multiple series as input/predictors, that's a whole new level of difficulty. I don't know of a good automatic/fast/scalable approach that properly guards against overfitting
I think the OP is referring to algorithmic probability. See
[1] R. J. Solomonoff. A formal theory of inductive inference: Parts 1 and 2. Information and Control, 7:1--22 and 224--254, 1964.
[2] R. J. Solomonoff. Complexity-based induction systems: Comparisons and convergence theorems. IEEE Transactions on Information Theory, IT-24:422-432, 1978.
I think one aspect that the article misses, is the fact that the public can't make an informed decision with their votes if the government has secrets.
It seems that over the last 5 years the number of exit nodes has remained relatively constant [1], I assume to the risks associated with running an exit node. What is Tor doing the increase number of exit nodes?
Yeah the situation is pretty bad. Recently the human rights commission released the report about the affects of detention on children. The government not only ignored it but went after the head of the commission and tried to force her to resign.
I agree that we need an alternative where the artists can make a living and do their art, but I think trying to stop people doing what they feel is natural is not going to work.
To me it's very similar to the war on drugs... Policy and business models need to change. There are always people resistant to change as they want to protect their revenue streams.
I have found the below links excellent pathways to mastering mathematics. I actually was in the same place as you and started with Spivak Calculus. Now I am back at school studying mathematics :P