The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 21 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Söderström: The boundary between AI music and real music does not exist
“There is this distinction between AI music and real music that, that doesn't exist for sure. Very talented real musicians are using AI. To get better and to help create new ideas. So that distinction doesn't really exist. It's all going to be AI. The question …”
Söderström: Generative AI could make the music industry bigger than ever
“What would actually happen after piracy is that the music industry got bigger than ever, not, not just as big, but bigger than ever. And I think that could happen with this technology as well, but we're right in the beginning.”
Söderström: Spotify's famous "squads" organizational model is inefficient at scale
“It's become a little bit of a cost to us because people still think that we organize that way. And it's not a very efficient way of being organized at this scale, or maybe even if you started over right now, because we've learned more.”
Söderström: Pushing autonomy to junior leaf nodes produces conflicting strategies
“If you put autonomy very far towards the leaves of the organization, and then also if you combine that with having a very junior organization, which we did back then, there's a fair chance that you're just going to produce heat. You're going to have a hundred …”
Söderström: Decentralized team autonomy risks shipping org chart complexity to users
“You get the benefit of speed. But you get the drawback of kind of shipping your org chart and shipping complexity to the end user.”
Söderström: Novel product paradigms require large MVPs to avoid false negatives
“The hardest thing about this is if you're trying something completely new, The MVP needs to be very big so you can build a new UI, but if you didn't do algorithms for a single item feed, you can't tell if it was the right idea, but poor machine learning, right…”
Söderström: Generative AI shift will force companies to rethink products
“And I think what we're entering now is we're going from your curation to recommendation to generation. And I suspect it will be as big of a shift that you will eventually have to rethink your products.”
Söderström: Product interfaces must be designed around ML error rates
“The quality of your machine learning, if you're going to have a single play button needs to be literally a hundred percent or zero prediction error. And that's never the case, right? So let's say that you have, you know, a one in five hits, four out of five th…”
Söderström: AI makes generic music easy, making true originality harder than ever
“Actually, what these models do is Because they, because they've been listening to a lot of music, they are very good at doing something that sounds very similar to what already exists. Actually being original is very hard. And from one point of view, as it now…”
Söderström: Spotify concentrates product and strategic autonomy at VP level
“The autonomy level in Spotify now tends to be quite high at the VP level. And then lower around those levels.”
Söderström: Spotify routes music, podcasts, and audiobooks through one recommendation org
“So we've chosen more of the central centralized model. Where these different sort of vertical businesses, if you think about it, the music business, podcasts, audiobooks business, they have to go through a single recommendation organization, because that's ano…”
Söderström: Redesigns carry higher risk than features because participation is involuntary
“There are two fundamentally different types of product development. One is designing a new feature. It is hard to make it, but it's voluntary for people to use. So you do the AI DJ. Some people love it. That's fine. If you don't like it didn't make it worse fo…”
Söderström: Spotify gave no special platform promotion to his podcast
“The podcast did well and no, we did not give it our own sort of promotion. I had to compete as everyone else”
Söderström: Making products feel magical requires scoping down and performance tuning
“But I think getting to that point and iterating a product to the point where it feels like magic the first time is very helpful. And it's often a question of, Just getting the performance to certain levels, scoping down, removing things. There's a lot of fine …”
Söderström: Spotify homepage activity is 90% recall and 10% discovery
“If you look at what people do on Spotify's homepage, the current one,
It is almost 90% what we call recall. So it is either getting to a session that you're already in or a specific playlist that you know you want to get to, or at least a specific use case. S…”
Söderström: Content recall requires dense UI while discovery requires large real estate
“When you do recall, you want the dense UI. With many items on screen, because you know what it is you're looking for, so you don't need a lot of real estate. When you're doing discovery of new things, you want a lot of user interface, a lot of pixels, and you …”
Söderström: Spotify runs on six-month execution cycles with two weeks of planning
“We work in, in sort of six month increment. So we try to spend two weeks planning and are roughly successful.”
Söderström: Breaking habit bubbles is harder in podcasting than music
“We talked about it mostly for music, music discovery, but the same problem, it's the same problem and even harder for podcasts. So we're still focused very heavily on helping spot, on helping podcast creators find more audience. This is, like I said, it's even…”
Söderström: Spotify's AI DJ succeeded by minimizing voice chatter
“And for the AI DJ specifically, Another principle is to try to avoid this urge of just wanting to show off the technology and have this voice, like talk and talk and talk and talk. You have to remember that people came there for the music. So the principle for…”
Söderström: Spotify abandoned 7-person agile squads for 14-engineer teams
“As you grow the company, scaling in increments of seven engineers just creates a ton of overhead. So obviously our teams now tend to be much bigger, maybe, maybe two, three times that at least per like manager to maybe have like 14 or something instead of seve…”