I can't stand the fact that organizations hide behind "algorithms" as an excuse for every unintended side-effect. It's no surprise that algorithms create an information bubble for us. I like to use music as an example: the best music recommendations I've ever received have been from friends. I'll describe music I'm listening to and like, and they'll recommend something for me. I'd say 50% of the time I find it unobje…
>We've positioned machine learning as a replacement to curation, but what it really does is put forth the least objectionable content. I don't think the problem is with ML. You could easily train a net to make boulder selections with an appropriate data set. I believe what you are seeing is an accommodation for the average person. Most people aren't adventurous, and it makes business sense to get algos working for th…
> I don't think the problem is with ML. You could easily train a net to make boulder selections with an appropriate data set. I believe what you are seeing is an accommodation for the average person. Most people aren't adventurous, and it makes business sense to get algos working for the middle majority than to cater to tail ends.
You literally just said the same thing the GP did while ostensibly disagreeing with him: ML curated content caters to the lowest common denominator - i.e. the content that most people would be okay with.