msapaydin

I am guessing that by now plenty of data has already been generated which could be used to train future systems..

well, just as in spam filters, some supervisors would be necessary to automate things in the beginning, but eventually this should be less needed?

What I am wondering, and this is probably a dumb question, is why this has not been automatized? Can't content moderation be done with modern and strong machine learning based systems? There must be plenty of training data on this, and just like a spam filter which does not require humans in most cases, this should also be automatable. Why is it not?

Indeed, the demos of GPT-3 should specifically tackle this.

By extracting the features for the image (that is, the encoding, as in transfer learning in computer vision or natural language processing with, for instance, VGG or Bert, respectively) and feeding this to the classifier.

source: https://www.nature.com/articles/s41586-020-2286-9

There is also London bombing map in second world war which many people claimed was methodical but was later found to be random. e.g. https://images.app.goo.gl/mdQEVE9gfQAsLHn66

Essentially, the scientists found that yes, there are some additions in the nCoV coronavirus originating in Wuhan that other coronaviruses don’t have, which are similar to pieces of sequence found in HIV. But, the kicker here is that these pieces of genetic code are also found in countless other viruses and there’s no reason to believe they specifically came from HIV, at all. " https://www.forbes.com/sites/victoriaforster/2020/02/02/no-c...

Perhaps the idea of not having a training set means that one should use other datasets such as image net and use transfer learning.

they already state those in the paper: "Our trial had some limitations, including the absence of a control group (each individual being their own control in our study), the limited number of subjects, their young age (leading to extrapolation to the aging population), and the decision to focus on hydrogen-producing individuals as an inclusion criterion. However, we can clearly conclude that, by increasing the consumption of selected vegetables, it is possible to boost the intake of fructans and thereby create a shift in the gut microbiota composition. "

You may watch this lecture also perhaps: https://www.youtube.com/watch?v=jPg-4rkjZKc&t=1s

eating meditation would be another, perhaps secular, ritual, of the same nature.

Do they provide access to GPU’s?

Maybe you could use RNNs to do the sentiment analysis, either Recurrent or Recursive Neural Networks. Some sample code is available in the book "Tensorflow for machine intelligence" in github.