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Thanks! Also, according to that LinkedIn post date extractor, this post by first author Giuseppe Soda was made on Thu, 08 May 2025 06:22:28 GMT:

https://www.linkedin.com/posts/giuseppe-beppe-soda-414749b0_...


Good question!

Leonardo Rizzo, one of the researchers, claimed on X.com that they published before the Pope was elected.

An X user commented:

> “Guessed” after the fact. Interesting nonetheless and worth sharing before the event next time!

Rizzo replied:

> Thanks a lot! We shared it the 8th morning on linkedin, the university website and few other sources (italian press). Next time I’ll also share it on X

https://x.com/LnrdRizzo/status/1920841806096343409

https://www.linkedin.com/posts/universita-bocconi_a-new-way-...


Check out "African Polyphony and Polyrhythm", a presentation by Chris Ford at Strange Loop 2016. He uses Clojure to model traditional central African drumming patterns with variations.

https://www.youtube.com/watch?v=EK4qctJOMaU

https://github.com/ctford/african-polyphony-and-polyrhythm


This Substack post is a summary of an essay by Joseph Brodsky about Dostoevsky — but the post does not link or name the essay.

The essay is named "The Power of the Elements" and it can be read here on Google Books:

https://www.google.com/books/edition/Less_Than_One/N5Nzm2uih...


The author mentioned the name of the book in the very first paragraph.

Yes, it seems the essay inspired the post and it quotes excerpts from the essay but also has also some nice additional commentary.


The book in which they read the essay but not it seems the essay itself.


Here's a plain language explanation of why uplift modeling is useful, written by the same author as the paper:

https://stochasticsolutions.com/uplift/

> It is normally assumed that the worst outcome direct marketing activity can have is to waste money. In fact, some direct marketing provably drives away business within certain segments, and it is not unknown for it to drive away more business in total than it generates. This is especially true in retention activity.

> [Non-Uplift] Churn and attrition models prioritize customers whose probability of leaving is highest. Such customers tend to be dissatisfied, so are usually hard to retain. To make matters worse, in many cases, the only thing currently keeping them is inertia, and interventions run a serious risk of back-firing, triggering the very defections they seek to avoid.

> It is more profitable to focus retention activity on those people who ... will leave without an intervention, but who can be persuaded to stay. Uplift models allow you to target them, and them alone. At all costs, you want to avoid targeting the ... so-called Sleeping Dogs, whose defection you are likely to trigger by your intervention. Again, uplift models can direct you away from those customers.


Here's the most impressive results I've seen for automated guitar transcription:

High-resolution guitar transcription via domain adaptation

Demo Videos: https://xavriley.github.io/HighResolutionGuitarTranscription... Paper: https://arxiv.org/abs/2402.15258

> We propose the use of a high-resolution piano transcription model to train a new guitar transcription model. The resulting model obtains state-of-the-art transcription results on GuitarSet in a zero-shot context, improving on previously published methods.


The MIDI Guitar software [1] does this in real-time, similar to Rolands hexaphonic pickups, but with a standard guitar signal.

MIDI Guitar 3 is in open beta testing [2] and adds MPE (multidimensional polyphonic expression) MIDI.

[1] jamorigin.com [2] jamorigin.com/beta


Anything as good as this for drum tab transcription?


This isn't exactly what you asked for, but there's a "drumsep" model, which takes a drum audio track and separates it into 6 stems: kick, snare, toms, hi-hat, ride, and crash.

Ctrl+F for "drumsep" in this doc:

Instrumental, vocal & other stems separation & mix/master guide - UVR/MDX/Demucs/GSEP & others - Google Docs https://docs.google.com/document/d/17fjNvJzj8ZGSer7c7OFe_CNf...


I’m the author of the high resolution guitar model posted in a comment above. I have a drum transcription model that I’m getting ready for release soon which should be state of the art for this. I’ll try to update this thread when I’m done


Betteridge's law of headlines: "Any headline that ends in a question mark can be answered by the word no."


"Does Betteridge's law of headlines still apply in 2024 ?"

no.


But your comment is not a headline. You gotta at least write a blog post.


That demonstrates the point because it's a boring headline. The clickbaitier version would be something like:

"It's 2024. Can We Just Forget About Betteridge's Law Already?"


Here’s a better answer, in my opinion: https://www.ethanhein.com/wp/2020/so-what/

> If you have never listened to jazz before, Miles Davis’ Kind Of Blue is a great place to start. The heart of the album is its first track, “So What.”

> “So What” is famous for being one of the first modal jazz tunes. This just means that it doesn’t have a lot of chord changes compared to the fast harmonic rhythms of bebop. The A sections use the D Dorian mode. This scale is especially easy to play on the piano; just play the white keys. The B section is up a half step, on E-flat Dorian. If you play the black keys on the piano, you get five of the seven notes in this scale. I had a complete beginner pianist improvise a solo over “So What” in class. I called out when she needed to switch between the white and black keys. It worked!

> “So What” occupies a similar place in jazz pedagogy to the blues: it’s simple enough for beginners to play, but you can devote a lifetime to practicing and never get to the bottom of it. If you want to learn how to improvise jazz, you should definitely learn Miles’ solo.

> Black American music uses lots of call and response as a structuring element. “So What” has many call-and-response pairs at different scales. Here are all the layers I can detect, ranging from micro to macro … (7)

> I would bet that this fractal-like self-similarity across different levels is a major reason for the tune’s appeal. Any tune this immediately catchy yet also structurally deep is going to attract a lot of imitation.

> Anybody who’s been to music school can write complex and abstruse jazz tunes, and blow complicated solos over them. Not many musicians can write memorable hooks. And only the most profound artists can write a hook that conceals as much depth and possibility as “So What.” I wonder if that level of creativity is teachable, or learnable?


There’s only one other jazz standard I know of with comparable lyrics:

“Lush Life” by Billy Strayhorn. https://en.m.wikipedia.org/wiki/Lush_Life_(jazz_song)

Listen to Johnny Hartman singing in this recording with John Coltrane: https://youtu.be/sNIn1_RLkmc


"Data centres have turned Big Tech into big spenders: Companies need AI services revenues, not cost savings, to fuel data centre boom"

https://archive.is/BxY2q


Only enough, the content is perfectly summarized by the final sentence:

>> [Large infrastructure-owning tech] Companies need AI services revenues, not cost savings, to fuel the data centre boom.


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