> But these heralds who have volunteered their clairvoyant services to us [...] just know that [superintelligence] is going to happen soon, if not already. And they do know, with all their hearts, that it is going to be bad. Really bad.
> For one, so far everyone predicting doom about AI has been a layman a subject.
This is a myth. It was arguably true 5-10 years ago, but concern with AI safety is not a fringe position even among the highest levels of AI researchers now.
You can read through list of grants granted by the Future of Life institute for AI Safety research, almost all of which are to researchers associated with respected universities, not laymen, here: https://futureoflife.org/ai-safety-research/
I posted an earlier version of this about 2 years ago. Since then I've added a bunch of music theory exercises and created a system for teachers to use the exercises in their classes by giving assignments, tracking scores, etc.
The new music theory exercises use vexflow (https://github.com/0xfe/vexflow ) for drawing the staff in addition to midi.js for the sound. The teacher-account backend uses Django.
How long would you personally like to live if you could be healthy the entire time and not age any more or any faster than you'd like to? 50 years? 150? 1000?
Good idea! There's an advanced option that puts a "listen" button next to each interval on the sidebar in the intervals exercise, but this would be a good more general feature to include for whenever someone answers incorrectly in any exercise.
Thanks, that's a really good point. I agree that the patterns generated could be improved, but haven't come up with a good automated way to generate an unlimited amount of better ones. Please email me any thoughts you have about the best way to do this, I'm definitely interested in improving these (my email is on my profile page).
I've been listening to the Stanford NLP deep learning lectures, and while I know hardly anything about it compared to most, "deep learning" is screaming at me. If you could generate a "corpus" of musical progressions based off of real music, you could very easily sample from a model to generate progressions that are likely to "co-occur."
Hi, I'm the developer of SymbolHound. You're right, SymbolHound's index is a little lacking, especially for new languages. This is because it's based almost entirely on a stackoverflow data dump (http://blog.stackoverflow.com/2009/06/stack-overflow-creativ...) from when I first made it (2011). Swift was released in 2014, so there are no results. I'm planning to update it when I have the time.
This is an unfair characterization of the the most prominent figures in this area. This article by Allan Dafoe and Stuart Russell from 2016 refutes it: https://www.technologyreview.com/s/602776/yes-we-are-worried...