This is not about AI, the author is mostly just pointing out that Spotify was not designed for classical music.
This is a product issue. Spotify DJ is essentially “shuffle with some voice interludes”. There’s probably some non-AI code in there to explicitly prevent it from playing an album end to end.
Besides, AI is not one thing. It’s weird to generalise “This beta spotify feature doesn’t serve me, hence AI is useless”. For example, when the author says “if it can’t do this, how could it compose music?”, that’s a category error.
Honestly the whole post and tone are just baffling. It’s mixing up all sorts of opinions and trying to put them under one umbrella, and about 50% of the text is just name dropping specific classical pieces.
I happen to agree that the Spotify DJ feature is terrible, but I think this is a very ineffective way of presenting the argument.
That's rather underselling him. Charles Petzold wrote the canonical reference works for programming Win32 and MFC.
It's like calling Donald Knuth a lecturer.
Given the author's background I believe it's intentional ragebait. It's as ridiculous as saying LLM can't count the number of Rs so it cannot generate grammatically correct sentences. No way he really thinks the logic is sound.
The product organization at Spotify is a master class in dysfunctional product organizations. Compare the feature parity of the desktop and mobile applications and you'll find random features available in one but not the other. Try to do basically anything in CarPlay other than select a different recently-played playlist and you'll be able to do it 10x faster by picking up your phone and doing it there.
That isn't really a category error. It's more begging the question. It makes the assumption that the ability to DJ music is the same ability as being able to compose music, and uses that assumption to suggest the conclusion that a failure to DJ classical movement would necessarily result in the failure to compose same. A category error would be assigning a property to AI that it cannot have. It would look more like, "if AI can't DJ music, we have no way to know what color it is."
Which is to say, he's doing a very good job of reminding you/us nerds that "there should be no excuse for this, technical or otherwise." The technology exists to make this work very well and has for sometime; I GET why it's not working now, but that doesn't make it any less garbage.
If you have the slightest knowledge of classical music you would know it should not be mixed like in a dj set, and you would not optimize your dj algorithm for it.
Atari Cambridge Research- part 5: David Levitt shows Music Box on his Lisp Machine
https://www.youtube.com/watch?v=ocwsVkqEKys
Atari Cambridge Research- part 6: Music box with Tom Trobaugh and drum machine with Jim Davis.
https://www.youtube.com/watch?v=DhA0FGsin_s
Cynthia Solomon has shared a treasure trove of rare classic videos of Seymour Papert, Marvin and Margaret Minsky, kids programming Logo and playing with turtles, and many other amazing things at the MIT AI Lab, MIT Media Lab, and Atari Cambridge Research:
Same thing I saw in AI-assisted coding. People complaining how AI- enabled some XYZ security risk, it's bad, it's crap. This could be true, but why ignore the fact that you create a full blown native Mac app, with a single sentence? That should be good for at least a few things. Right?
I listen to a lot of DJ mixes on YouTube (Hör Berlin is great, for example) and part of the appeal is what this particular DJ picks: what kind of music are they listening to in the country they’re from, how are they interpreting it, what are they mixing it with, etc. For some DJs there’s also kind of a personal visual brand, like musicians themselves.
The idea of an anonymous AI picking an optimized list of music kind of defeats the purpose.
I usually listen to dublab (los Angeles, cologne, and Barcelona) and nts1 (usually London) and nts2 (location rotates). They have 1 or 2 hour DJ sessions (live or recorded) and your hear some music that you normally wouldn't be exposed to and sometimes you hate it but usually not.
The term DJ is synonymous with modern, electronic music, anyway.
It appears that Spotify's engines use a mix of these licenses to reduce costs. Since AI isn't explicitly user-made selections, it's quite possible that the AI playlist generator is limited to a radio license model for playback, simply to save money (considering the additional cost of providing AI).
I really had to push to keep reading past this part.
But this piece doesn’t really say anything surprising anyway. Spotify isn’t for classical music. There are other services that are.
> Am I naïve in expecting Artificial Intelligence to be smart? Is my interpretation of the word “intelligence” too literal? And when an AI behaves stupidly, who’s to blame? The programmers or the AI entity itself? Is it even proper to make a distinction between the two? Or does the AI work in so mysterious a way that the programmers need no longer take responsibility?
IMO this is a programming/prompting failure - not a failure in the general capability of 'AI'.
We can prove that an AI can understand this with a basic prompt:
https://chatgpt.com/share/69b67906-0e18-8012-9123-718fc6422c...
This is a minimal base prompt, with no fine-tuning, with the same user prompt, which shows that an AI will respond correctly by default. Presumably either the AI they are using is a weak model, or their prompt is encouraging the model against this (e.g. maybe the prompt says 'return one song based on the suggestion, and then songs from similar artists after')
> I’ve heard people claim that an AI can compose music. But how can that be when it can’t even grasp basic concepts in music?
Trying to infer the underlying capability of AI to generate music based on a badly-prompted Spotify DJ feature is always going to have it's limits. The proof of 'can AI compose music' will be in the eating of the pudding. AI models have already been able to compose classical music to some extent, and can grasp music theory, so after this point it's just going to be a matter of quality/taste.
Every time someone calls an LLM "AI", their brain faults a little more.
This is the profession of marketing's greatest success: inflicting so much damage on the rest of the world.
I wish more people would ask themselves those questions.
Sadly Charles himself didn't appear to conclude that yes, it's naïve to expect AI to be "smart" (whatever that means) and yes, he and many other people get hung up on the word "intelligence" in AI, a field that's been called that since the 1950s.
Classical is a harder (or at least different) problem and it's why specialist apps like Apple Music Classical exist.
I’ve been wondering if AI could be used to compose a set that rivals real DJs, but it seems like a difficult problem. First it needs to select tracks that fit well together, and stitch them together to ramp up and ramp down energy over time. Then it needs to layer the tracks, which requires an intuition for what sounds good and I’m not sure can be done algorithmically. It also needs to do engaging transitions which are appropriate for the moment - also difficult.
Which I really should have anticipated since I generally dislike music radio "DJ"s too and Spotify's AI DJ is trying to be like one.
In particular it would do things like start playing tracks with no bearing on anything I'd ever listened to, like local South African music which is very far from universally preferred here. I also got the feeling it was pushing "promoted" tracks with little regard to what I would likely like, just like real life radio stations.
I also don't care to have some voice interrupting the music all the time.
I was hoping it would kind of be like their other "radio"s, but it would be more explorative to finding more "similar" tracks to what I have listened to, without seeming to get stuck in a repeating play list.
I suppose it's a cool gimmick for people who are prefer the broadcast radio experience.
But for classical music: Apple Music Classical is where it’s at, it understands the relationship between composer, work and recording.
It shows up in all Spotify-generated playlists, so I refuse to listen to them. I assume their shitty AI recommendations are similarly filled with cancer.
Some things just aren’t meant for shuffle and genres that haven’t been properly digitized are definitely one.
Presumably a pop DJ would also mess this up. It's like going to an Indian restaurant and asking what Dim Sum they recommend.
The only reason a human would be able to do this task is that they might be trained in how to find classical music, and they have spent some time learning what is what in that world.
But a Spotify AI is of course going to be trained on the prevailing classification system only.
> The use of the word “song” for instrumental music — that is, music that is not sung and hence is not a song — is borderline illiterate.
This guy comes across as incredibly obnoxious. It's shit like this that gives classical music a bad rap as stuffy and unapproachable.
But yes, Spotify and the like are terrible for classical music. Apple Music has a separate app for this, which does a pretty good job and addresses most of these complaints.
There are apps specifically dedicated to classical music and there are many youtube channels for classical music, with sheet music[1], with visualizations[2], with videos of concerts.
Spotify and it's drop-in competitors were never good for classical music. This article is just another rant on this issue, by someone to whom classical music is so important, a pillar of western civilization, but not important enough to look for other ways to listen.
Why do people who hate AI think that every use of the term AI is referring to the exact same software program?
Instead they're just thin veils around paid-promotion.
Perhaps file a ticket for the devs and go back to listening to the albums without AI
> [list of 20 classical artists] I’m aware that many people are unfamiliar with this musical tradition, but it forms one of the sturdiest pillars of what we casually refer to as “western civilization.”
> Unfortunately, this tradition is not much respected
> The use of the word “song” for instrumental music — that is, music that is not sung and hence is not a song — is borderline illiterate.
This writeup is insufferably pretentious. It almost reads like a caricature of someone that listens to classical.
Prompted playlists is a beta feature designed to cater to most users. They are likely using a heavily quantized model, fine tuned on common use cases.
Is it really surprising that it doesn't cater to the fringes of Spotify's user base from the get-go?
Clearly the author believes that their taste in music is the superior one, and so Spotify not designing their product experience around their tastes is "appalling."
Then you get absurd rants like this:
> I’ve heard people claim that an AI can compose music. But how can that be when it can’t even grasp basic concepts in music?
Almost like these are two completely separate models, in two completely separate products.
That being said, Spotify is probably not the best product if you listen to classical. If classical were all I listened to, I would probably still have an offline collection in a Media Monkey library as my main source of listening.
Real DJs don't follow playlists. They work within constraints — energy, tempo, crowd — and let the set emerge. Better boundaries, not more rules.