For me, along with everything orthonormal and I said before, the problem here is that your application of CRM to linguistics is just:
“CRM is a good epistemology (which the entire reader base already agrees with). Here’s the obvious things you would do if you applied it to linguistics. Don’t worry, something new is coming, just wait a few more articles.”
It’s a new idea to use the CRM to approach computer vision. Nobody in computer vision thinks about large scale lossless compression of natural images. All work in CV is predicated on the idea that good methods can be obtained through pure theorizing and algorithm design. Consider for example this famous CV paper. Note the complex mathematics and algorithm design, and then note that the empirical verification consists of the application of the method to about four images (the reader is supposed to verify that the segmentation result agrees with intuition). Or check out this rival technique which actually uses MDL but doesn’t report the actual compression rates, only the segmentation results.
If that was your point, you could have resolved this in one article whose thesis is just, “Hey, like you already know, MML is a superior method of rationality compared to traditional science. [Here’s a review of MML.] Behold, the best work in computer vision ignores it! Look how much better you’d do, just by reading this site!”
You didn’t need to go into all the fluff about AI’s advances and failures, what’s wrong with science, blah blah blah.
(Not to say this doesn’t benefit you; you seem to get net positive karma, with the x10 modifier, each time you draw this out to yet another post, despite not presenting anything new.)
Of course, I thought your original motivation for this series was to explain what super-powerful epistemology it is babies must be using to be able to go from a near-blank slate[1] to solving AI-complete problems on limited empirical data, and how we can replicate that. And you haven’t even touched that one.
[1] which I, and the best scientific research, dispute is an accurate characterization of babies
For me, along with everything orthonormal and I said before, the problem here is that your application of CRM to linguistics is just:
“CRM is a good epistemology (which the entire reader base already agrees with). Here’s the obvious things you would do if you applied it to linguistics. Don’t worry, something new is coming, just wait a few more articles.”
It’s a new idea to use the CRM to approach computer vision. Nobody in computer vision thinks about large scale lossless compression of natural images. All work in CV is predicated on the idea that good methods can be obtained through pure theorizing and algorithm design. Consider for example this famous CV paper. Note the complex mathematics and algorithm design, and then note that the empirical verification consists of the application of the method to about four images (the reader is supposed to verify that the segmentation result agrees with intuition). Or check out this rival technique which actually uses MDL but doesn’t report the actual compression rates, only the segmentation results.
If that was your point, you could have resolved this in one article whose thesis is just, “Hey, like you already know, MML is a superior method of rationality compared to traditional science. [Here’s a review of MML.] Behold, the best work in computer vision ignores it! Look how much better you’d do, just by reading this site!”
You didn’t need to go into all the fluff about AI’s advances and failures, what’s wrong with science, blah blah blah.
(Not to say this doesn’t benefit you; you seem to get net positive karma, with the x10 modifier, each time you draw this out to yet another post, despite not presenting anything new.)
Of course, I thought your original motivation for this series was to explain what super-powerful epistemology it is babies must be using to be able to go from a near-blank slate[1] to solving AI-complete problems on limited empirical data, and how we can replicate that. And you haven’t even touched that one.
[1] which I, and the best scientific research, dispute is an accurate characterization of babies