BERT came out in 2018 and that’s a pretty important inflection point. It didn’t cause a pop culture frenzy, but in NLP circles it was a ‘magical’ improvement.
In linguistics this sort of thinking comes from 'basic color term' theory, which lays out heuristics for deciding if a word for a color in a given language is 'basic'. 2 things going against these blue-green terms are:
* They refer to specific objects (a duck and a stone), eventually these referents can be transcended though, like with the case of orange.
* Their frequency is roughly similar to each other (along with cyan, aqua, etc.), so there's no one term for this range (e.g. there's no doubt in a corpus of English that red is the basic color term for its spectrum).
This is exactly the process happening in the music space with Suno. Go to their subreddit, they all talk about how they only listen to ‘their’ songs, for the exact reasons you list.
Generally what people are talking about are his universal grammar or generative syntax theories/approaches, which are foundational to how you approach many topics. Because you build your academic career based on specialization they are hotly contested (for the material reasons of jobs, funding, tenure, etc.).
This leads to people who agree hiring each other and departments ‘circling the wagon’ on these issues. You’ll see this referred to as east vs west coast, but it’s not actually that clearly geographically delineated.
So anyways, these are open questions that people do seriously discuss and study, but the politics of academia make it difficult and unfortunately this often trickles down to students.
Spotify makes over 80% of revenue off of paid subscribers, even though over 60% of users are on the free, ad-supported subscription.
Now that's not some optional donation scheme, there are real tangible benefits to being a paid subscriber, so idk how that could fit into something like Firefox.
The concepts here apply to any client-server networking setup. Monoliths could still have web clients, native apps, IOT sensors, third party APIs, databases, etc.
They definitely do both, in the public recommendations API you can see vestiges of the old EchoNest acoustic properties along with some new ones they’ve come up with. It’s fun to play around with.
He’s quite biased towards not using ML or acoustic characteristics for recommendations. But even if you disagree it is interesting to hear about how things were working under the curtain (for daylist in this case).
They’ve been pretty open about the pricing strategy on the blog. Earlier this year they said they were losing money on most accounts at $10/month. They’ve since changed the pricing tiers a few times, but it sounds like they’re in a better place now.
Yep, I’ve had multiple reviews removed for being ‘off-topic’. No recourse there, I tried debating airbnb support for a while on it, but eventually gave up.
Jay Vine recently said in an interview that last year his max hours per week was 30 and that wasn’t training, it was a big week in a grand tour. His coach at least seems to be on a mid 20s hours a week approach.
Jay implied this was a change throughout the peloton, but you can still see old school strategies doing well (Bernal for example does huge volume in base from strava).