I got something from you too. One of the problems with a compression-based approach to machine intelligence is that so far, it hasn’t been very popular. There just aren’t very many people working on it.
Compression is a tough traditional software engineering problem. It seems relatively unglamourous—and there are some barriers to entry, in the form of a big mountain of existing work. Building on that work might not be the most direct way towards the goal—but unless you do that, you can’t easily make competitive products in the field.
Sequence prediction (via stream compression) still seems like the number 1 driving problem to me—and a likely path towards the goal—but some of the above points do seem to count against it.
I got something from you too. One of the problems with a compression-based approach to machine intelligence is that so far, it hasn’t been very popular. There just aren’t very many people working on it.
Compression is a tough traditional software engineering problem. It seems relatively unglamourous—and there are some barriers to entry, in the form of a big mountain of existing work. Building on that work might not be the most direct way towards the goal—but unless you do that, you can’t easily make competitive products in the field.
Sequence prediction (via stream compression) still seems like the number 1 driving problem to me—and a likely path towards the goal—but some of the above points do seem to count against it.