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nicoco commented on Fast   catherinejue.com/fast... · Posted by u/gaplong
hayroh · a month ago
Facebook is fast?
nicoco · a month ago
That article loses its credibility because of this, my thoughts too. Facebook and Instagram websites are among the worse offenders when it comes to "time-to-content" or whatever metric cool kids use these days. Maybe the apps are faster, but I'd rather avoid spyware on my pocket computers. Probably the author is running a $3k+ laptop and renews it every year?
nicoco commented on Dystopian tales of that time when I sold out to Google   wordsmith.social/elilla/d... · Posted by u/stego-tech
redczar · 3 months ago
The “obnoxiously open about” part of your post says much about you. Your post would have been much better without that part.

Google was “obnoxiously open about” do no evil and the other stuff described in the blog post. It’s natural for people who bought into those lies to react accordingly. Nothing in the blog post suggests a belief that polyamorous anarchists would be better at running things.

nicoco · 3 months ago
Anarchists generally don't want to run things, they usually aim for that thing witj freedom, um, what's it called again... oh yes, democracy.
nicoco commented on AI in my plasma physics research didn’t go the way I expected   understandingai.org/p/i-g... · Posted by u/qianli_cs
baxtr · 3 months ago
Can you give brief summary why this paper is a breakthrough for an outsider of the field?
nicoco · 3 months ago
I don't think it qualifies as a breakthrough. In short:

1. Segmentation is a very classical in medical image processing. 2. Everyday there are papers claiming that they beat the state of the art 3. This paper says that most of the time, the state of the art has not been beat because they actually are in the margin of error.

nicoco commented on AI in my plasma physics research didn’t go the way I expected   understandingai.org/p/i-g... · Posted by u/qianli_cs
moravak1984 · 3 months ago
Sure, it's not. But often on AI papers one sees remarks that actually mean: "...and if you throw in one zillion GPUs and make them run until the end of time you get {magic_benchmark}". Or "if you evaluate this very smart algo in our super-secret, real-life dataset that we claim is available on request, but we'd ghost you if you dare to ask, then you will see this chart that shows how smart we are".

Sure, it is often flag-planting, but when these papers come from big corps, you cannot "just ignore them and keep on" even when there are obvious flaws/issues.

It's a race over resources, as a (former) researcher on a low-budget university, we just cannot compete. We are coerced to believe whatever figure is passed on in the literature as "benchmark", without possibility of replication.

nicoco · 3 months ago
I agree with that. Classically used "AI benchmarks" need to be questioned. In my field, these guys have dropped a bomb, and no one seem to care: https://hal.science/hal-04715638/document
nicoco commented on AI in my plasma physics research didn’t go the way I expected   understandingai.org/p/i-g... · Posted by u/qianli_cs
nicoco · 3 months ago
I am not a AI booster at all, but the fact that negative results are not published and that everyone is overselling their stuff in research papers is unfortunately not limited to AI. This is just a consequence of the way scientists are evaluated and of the scientific publishing industry, which basically suffers from the same shit than traditional media does (craving for audience).

Anyway, winter is coming, innit?

nicoco commented on Jellyfin as a Spotify alternative   coppolaemilio.com/entries... · Posted by u/coppolaemilio
mon_ · 4 months ago
What are the musical equivalents to Kit-Kat and meth?
nicoco · 4 months ago
Equivalence is too strong a word, but content produced by spotify where musicians (or AI prompters) are mere contractors comes to mind.

Getting back to "I don't even want virtuous algorithmic recommendation"… I like jazz rock/fusion, especially when it has a touch of bluesy/blues rock influence. There is probably a lifetime of listening time of that genre, and it takes no effort for me to appreciate anything that resemble this. Long guitar solos by a jazz-educated guitarist who happens to like Jimi Hendrix, sign me up.

But I do think there is value in getting out of my comfort zone, and listen to something drastically new, from time to time. It requires effort though. My first reflex when I hear synthetic drums or autotune, for instance, is to press "next". But it is through other humans being recommendation, that I sometimes make that effort, and actually learn to appreciate something else.

Call me an elitist prick, but I hate to think of music as a commodity for us consumers to consume. It is art. Art is not always pleasant. It sometimes becomes pleasant after overcoming an initial disgust.

nicoco commented on Jellyfin as a Spotify alternative   coppolaemilio.com/entries... · Posted by u/coppolaemilio
dankwizard · 4 months ago
This article fails to mention the absolute butchering of features that takes place moving from a typical music streaming subscription to a self hosted Jellyfin library.

A large part of my listening on YouTube Music is going to a particular song or band I like and clicking "Radio", which generates a playlist of similar sounding songs. You can then fine tune it with a filter i.e "Popular songs, deep cuts" or specific elements of the song "More emo", "Slow paced" etc. This exposes me to a lot of new music and keeps it fresh and if I'm lucky I'll discover a new artist or song to add to my rotations.

You lose that.

A lot of these services overtime build mixes which takes your listening habits and tries to categorize them into specific mixes made up of your existing library & new music.

I don't browse any music forums and so apart from my favourite bands, I have no idea on when artists I like release new albums and would not encounter them on a self hosted solution, etc.

nicoco · 4 months ago
I'll argue music algorithmic recommendation on these platforms is a bad thing anyway.

First, the algorithm is opaque, so it can push stuff to you because the platform decide it has to get the spotlights. Maybe the label/producer/musician paid for it or whatever you want to imagine that is even worse. It is a well-known phenomenon that if some music is pushed to your ears, you'll end up appreciate it most often than not. This is how hits have been and are still made.

But even if the algorithm was not gamed at all, I still think it is a bad thing. It is not going to push you out of your comfort zone. Listening to new stuff is usually not pleasant at first. You will only "discover" things that are very similar to what you know and already enjoy.

If these recommendation algorithms were about food, they would "reason" like this: "Hey, you've really enjoyed this whole pack of M&M's, I'm sure you'll like this Kit-Kat bar now! Oh and you've had a glass of wine, what about trying out meth, it's pretty good too.". Do we really want our computers to reinforce such behavior?

Go to concerts, buy merch, buy albums on bandcamp (it has not enshittified too much yet apparently), donate money to artists; discover music through your friends and other humans recommending it. Recommend what you like to your friends. Cancel your Spotify subscription, none of that money is going to artists anyway. And use soulseek.

nicoco commented on Dino 0.5: Polishing user experience   dino.im/blog/2025/04/dino... · Posted by u/larma
nicoco · 4 months ago
Excellent! Dino is sweet.

I wish the Windows XMPP client situation was a bit better, but in the Linux world we have at least 2 actively maintained and modern-looking clients with Dino and Gajim, and 2 TUI ones.

Keep up the good work!

nicoco commented on Push Notifications for Decentralized Services   unifiedpush.org/news/2025... · Posted by u/notmine1337
nicoco · 7 months ago
It's worth noting that there are self-hostable XMPP-based implementations for this: https://unifiedpush.org/users/distributors/conversations/

What is old is new again (Google used XMPP for Android Push Notifications before they switched to something else).

nicoco commented on How to solve computational science problems with AI: PINNs   mertkavi.com/how-to-solve... · Posted by u/mertkavi
Matthyze · 7 months ago
Me and a friend were discussing PINNs, and he made an argument against them: The Bitter Lesson. PINNs are a way of incorporating domain knowledge into ML models. The Bitter Lesson, for those unaware, is a famous essay by Rich Sutton that states that the history of AI is full of attempts of methods guided by domain/expert knowledge, but that ultimately, all such methods were overtaken by methods that simply scaled data and/or computation.

http://www.incompleteideas.net/IncIdeas/BitterLesson.html

I would love to hear HN's take on this argument.

nicoco · 7 months ago
Scaling data is not always possible. It's really hard to get your hands on good labelled medical imaging data, for instance. Maybe it makes sense to try to incorporate insights from biology and physiological instead of hoping that the neural net will "get it" from seeing enough data.

u/nicoco

KarmaCake day780January 27, 2021View Original