It may be that they changed the algorithm to work better for people who are not me. It may be that the algorithm choked on its own feedback (once listening patterns influenced by Discover Weekly started influencing Discover Weekly). Or maybe it just plain ran out of stuff to recommend me, having picked all the low hanging fruit (from its understanding of my taste).
It's also a bit conspicuous that DW was at its best when Sander Dielemann and Aäron van den Oord were interns working on it. Both went on to write some pretty great machine learning papers, and both were snapped up by Google/Deepmind.
I do wish it'd stop trying to play Lostprophets on the odd occasion though. I don't think I've even listened to them even before the crimes but I don't want to enjoy a song and find out it financially supports a pedo.
Try opening YouTube in incognito and watching the first 10 videos. You'll cringe so hard that your body will be twisted up like a pretzel.
It also stokes my misanthropy, which is why I don't do it much.
Its a lens on gen pop, but i dont like looking through it.
The top recommendations on YouTube are often extremely "safe" in the sense that you'll feel bad about marking them as "not interested" because you already like the video and the uploader. This is likely a bug in their reward function, but if you skip the safe recommendations you'll start seeing more more intelligent recs such as videos that have the same presentation style as the ones you like except they were uploaded by unknown creators with 1k subs. Over time the algorithm will learn that you only like to rewatch certain kinds of videos (music videos in my case) and that you like to be surprised.
Note that refreshing the page doesn't help. It will keep giving you new equally-safe recs until you scroll at least 1 page down and force it to generate new recs.
Why oh why can't you just tell youtube that this is what you want, instead of some elaborate algorithm training dance?
Perhaps you need to change human behaviour so that most people don't rewatch things? (Speculation! Personally I prefer fresh content too.)
Maybe YouTube have found that rewatching items drives people to annoyance with the adverts and gets more revenue?
And agree about the logged out view. It's not for me, but clearly has a huge audience.
These sites have laid off a lot of their staff that once developed and maintained algorithms, and people were cheating through weak algos en masse back when sites were running wild, now the lazy solution is to sit back and collect ad money while just making bug fixes.
Agreed. Monetization and aid promotion for every account is what destroyed the social media world. Now nothing grows organically and feedback/comments/reviews are regularly reflective of popularity/favorability deceit.
I'm always horrified at how bad people are at even recognizing an ad when they see one these days. I thought maybe it was just banner blindness, but I don't think many people even understand what an ad is.
Once I had someone argue that windows 10 didn't contain any ads at all and as proof they sent me a screenshot of their start menu which sure enough was filled with ads. It was struggle to get them to accept that all the icons for apps that weren't installed and services they didn't use were ads. I've seen people insist that Netflix didn't have ads just the full screen banners for whatever they were promoting you have to scroll past to get to your list/continue watching or the "suggestions" they throw up after a show ends. If it wasn't interrupting what they were watching every 10 minutes it didn't count to them.
For as much as advertising has found its way into everything, people seem to be getting worse at realizing when they're being manipulated.
They also had less to choose from, so it was easier to surface interesting things.
That's not to say YouTube's recommendation algorithms are good or that everything needs to be an algorithmic feed.
I also believe it's entirely possible for someone (it won't be YouTube, they are too invested/tied into their existing model) to successfully integrate manual curation at scale. All you have to do is monetize the curators, and then reverse the traditional ad model being used on the majority of the web. Just like how people are already driven to go and watch live streams from creators who oftentimes simply serve to be a more active, on-screen role of one of these kinds of curators or "coolhunters" or whatever...it's been shown that people are more than willing to donate via superchats or sign up for additional membership features. So what's stopping a platform from doing more targeted audience-specific advertisements?
There are tons of employees at YouTube. A lot of moderators as well. Each one of them could easily discover tons of content within YouTube to publish on personal pick pages on the site. YouTube chooses to only feature a handful of creators at a time because that protects revenue streams, not because content moderation can't scale. People would literally jump to curate content for free on YT as well, as many playlists are made every second by users.
I'd love to see a real honest stat on how views are distributed across YT content, I'm pretty sure the relatively few items featured on their front page and trending/sponsored playlists get the lion share of all views annually, and everything else suffers in silence (relatively).
The only reason algorithms are used is because of engagement.
If people don’t engage then they don’t watch as many ads or they eventually cancel their subscription due to lack of use.
So YouTube uses automation to shove their content down your throat.
Apart from a few geeks, almost everyone I know of says exactly that.
for me algorithms are wrong far more often than human recommendations. it’s not even close.
i go to my local music store or friends and get almost consistently solid recs while youtube’s and spotify’s are just ridiculously bad.
same with movies, books, restaurants, etc… recs from people i know are just better. even better when the people are wonks, e.g., recs from actual film geeks rarely let me down.
and it’s a significant difference. it isn’t even close.
liek 6 months ago i completely switched to solely human recommendations and it’s drastically improved not only what i consume, but it’s been kinda rad to to find those kind of connections again.
That's actually one of the reasons I've created https://digs.fm (think Goodreads but for music).
Maybe one day people will admit running your life through an algorithm isn't it.