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I have a hard time understanding your opinion. What do you even mean by garbage? There's thousands of legitimate music bands/musicians on these platforms. Naturally you won't care for a majority of it, but an interpret being niche doesn't make them garbage.

FWIW I went through a phase of this (feeling like streaming services were full of low grade stuff) until one day when basically nobody seemed to understand me except Amazon Music, which has an almost eerie recommendation mechanism that I think people don’t talk about much because the rest of the app is so meh.

In one single afternoon Amazon Music served up loads of niche old favourites I had not thought to search for, introduced me to a couple of artists I would not have known existed otherwise, and probably rescued my failing love of music.

I now play a game with it and pick somewhat diametrically opposed aspects of my music tastes in quick succession— Superorganism, Cardiacs, Gavin Bryars, Nanci Griffith, Vivaldi, Anouskha Shankar, say — and then see what it comes up with. Invariably one of the recommendations will be something I already adore and one will change my life.

I stumbled into the Chris Thile multiverse this way, for instance.


Spotify is full of AI slop trying to pass as artists. That’s garbage

Also, the company has a pretty terrible leadership: https://www.latimes.com/entertainment-arts/music/story/2025-...


So dont listen to it? I mean what is the problem here.

I never listen to basically anything spotify recommends me, just songs from bands I already know and love. And if I were to purchase the whole discography of the breadth of music I listen to it would cost the down payment on my house


I do not use the service, I was responding to the comment about garbage

Julia is going to overcome Python in usage, any decade now.

I like how this discussion has focused on Netflix where as the point is something different.

There are 2 useful rules to consider when building stuff: * Your user might not necessarily be like you - this applies even more when we tech people consider ourselves to be like our customers - we're often very different. * While in individual experiences your click of a thumbs up button constitutes a yes, and ...; if we're talking 128k likes, the aggregate dulls some of the edges and has interpretative value.


Interesting. I have had mostly the opposite experience. CEO(s) that changed strategy + focus every month and the middle management having to pick up the pieces. Keep people motivated and deliver.


When was this? MS Copilot has gotten a lot better lately IMO.


This seems to be one of the cases where what people say in a survey and what they do are two very distinct things.


Databricks on Azure went down too yesterday


Exactly, especially in long trips this usually resulted to a fight among parents.


Fair point, but before business people relied on other people to pull it for them. Sure, it was checked by human, but a technical human often lacked the business context and there's been plenty of instances, where the business person knowing their revenue and sales numbers challenged the analysis of a technical person.


Yeah with self-serve analytics all the rage (for good reason) for a bit, the bar from some places I've worked wouldn't be "does the agent beat a good analyst" it's "does the agent beat the a business person with SQL access who might have an overworked analyst glance over it", which is a much more tractable break-even point - and as you said, the business person might be even better at sanity checking numbers at that point.


Well paid engineers compare their experience to a labour death camp just confirms how out of touch they are.


Felt the same way. Set aside the hyperbole, and it’s coming from the very real fear that data labeling does not have long-term job security. If the company continues to run after you’ve been moved, it’s pretty obvious you were redundant. Tough realization for people that see themselves as having been successful career-wise.


Hyperbole is fun though. So is complaining.


There's a difference between a hyperbole and being tone deaf.


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