My experience is that if I ask a model in an overly polite way then the model will tend to generate a slightly more waffly and error prone answer. My working hypothesis for this is that asking model's like this causes them to mix concerns by answering my question AND doing it in in a way that is similarly polite back - rather than just answering the question.
Perhaps being an arse is a hack to push the model hard up against their base imperatives to handle all reasonable questions and forces a very focused, just the facts, type answer to the user's questions.
It would be interesting to see a similar experiment where the multi choice questions they use deliberately don't include the obvious answer and to see if being polite led to the model pointing out the omission.
The recommendations engine used them but it's main strength was it was primarily based on collaborative filtering (https://en.wikipedia.org/wiki/Last.fm).
Essentially if people who listen to many of the same artists/tracks as I do have discovered other things I have not, then those unseen artists/tracks become candidate recommendations.
It worked as well as it did because they had a user base of music fans with a wide variety of tastes. CBS ran them into trouble when they upset those fans by breaking the radio and by being perceived as too close to the RIAA.
The will need to get the numbers up, but I'm hoping them being independent again is a good sign.
Is that even a problem? If someone consumes a lot of algorithmic recommendations and you don't, wouldn't that drift you farther apart in the last.fm relationship?
If you really like Song X and Song X happens to be on a popular spotify playlist with a bunch of stuff you’re not into, you’ll start getting recommended all that other stuff on last.fm, no?
Well, the current last.fm "play your recommendations" is linked to spotify, so maybe you're right? Last.fm has gone through phases of no streaming, streaming, and partner streaming, and TBH I haven't used last.fm as a stream source in quite a while. I guess it seems possible that if they outsource their recommendation playback to spotify, you'll get spotify recommendations.
Outside of the spotify integration, last.fm doesn't have visibility into anything that isn't scrobbled AFAIK. It's based on user data only. You have "neighbors" who have similar tastes, which I think is calculated based on overlapping scrobbles (not sure if time-weighted, or just top listens). If we both start scrobbling with a limited amount of artists, and 75% of our scrobbles are the band Primus, we're probably going to be neighbors. If I decide that Primus sucks and start listening to Coldplay all day, our venn diagram overlap separates and we're not neighbors anymore.
Maybe the neighbors influence the recommendations, but playback is outsourced to spotify? I guess I don't really know. You can still browse neighbors though, and use their top lists as "recommendations", which should only be based on listening history.
> I would have expected it to be illegal in the U.S by now but we live in a strange reality where the current administration's family is literally profiting off of it
Legislation by who is willing to "donate" the most; law of the jungle capitalism.
> Is a Mach-5 passenger aircraft actually the goal of this project?
> Seems more likely that Japan is designing this engine for a hypersonic cruise missile program, and the passenger aircraft concept is somewhat of a cover.
Case of China's got them, and can't rely on the Orange Emperor and his heirs to have their backs.
> They can currently scoop up an endless supply of developers that have memorized every single leetcode hard, system design and """behavioral""" interview question.
And will those help them get where they think they want to go?
> I hope our French friends can learn from this initiative during the adoption phase.
The apps are available now, so reasons to be optimistic.
When LiMux and similar efforts happened around 2004 most business applications were Windows only. Even the ones that purported to be web used windows only technology and required IE and Windows.
Now with years of business budget controlling types using their Macs and smart phones and wanting access to the their apps the majority - even MS's stuff - can be run well in a browser on almost any OS.
My experience is that if I ask a model in an overly polite way then the model will tend to generate a slightly more waffly and error prone answer. My working hypothesis for this is that asking model's like this causes them to mix concerns by answering my question AND doing it in in a way that is similarly polite back - rather than just answering the question.
Perhaps being an arse is a hack to push the model hard up against their base imperatives to handle all reasonable questions and forces a very focused, just the facts, type answer to the user's questions.
It would be interesting to see a similar experiment where the multi choice questions they use deliberately don't include the obvious answer and to see if being polite led to the model pointing out the omission.
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