I would argue precisely that downright piracy is better than the Spotify model. It is based in micro-micropayments, so much so that even at internet scale very few artists outside of the uber-macro-Taylor-Swift size get proper compensation. Sending a single dollar through Bandcamp amounts to hundreds of listens on Spotify.
It really sucks, but I'd rather pirate and know I'm at fault with the artist – maybe I'll buy some tracks off Bandcamp to make up for it – rather than let Spotify cover the transaction with a legal blanket, while the artists get almost nothing in return.
I think RateYourMusic also allows for commenting pretty much on everything (and it also extends to film and, IIRC, videogames).
It might not be as friendly as last.fm on the surface, but it is surely richer in content, and more diverse. It's a gem, and I hope Sonemnic (?) doesn't drive it to the ground.
I immediately thought of this piece, especially the analysis on the writing style of each person.
On one hand, it is clear that the mathematical tools for confidently attributing authorship of texts were already present without LLMs. But it is striking that LLMs seem to very accurately identify authorship, through whatever process it might be, with no need for a data scientist in the loop.
Other than the uncannyness, I wonder what implications this will have. Public writing is still public; maybe we will require stronger proof of authenticity from an author (but this is arguably in place already; eg. personal websites, social media profiles, etc.). But for, say, public writing that must conserve anonymity, would people pipe their thoughts and writing pieces through a sort of fuzzing (local) LLM, that would strip text of identifying characteristics?
I take the lack of a concluding thought to your comment as a sign of your pondering, and in that case, I would love to read your thoughts on this matter. :)
I think a lot has happened since the 90's, and you rightfully point out that there was very little money in music to begin with. Labels generally always took a very large fraction of a physical CD sale, for example, so the model was rather rigged from the beginning (and recorded music doesn't have that long of a history, anyway).
In general, I'd argue that Spotify will be more toxic to the industry (or the artists' livelihood) than piracy. Streaming is even more predatory and centralized than labels in the 90's, but with an important caveat: it's legal. When people engage in piracy there is at least some awareness of, say, the pirate being at fault in the transaction — even though, as someone else already mentioned, people who pirate might contribute, or engage in other ways, with the creators. But with streaming, it got normalized to pay artists a fraction of a cent per stream (and the terms get progressively worse). I've countless times heard the argument "at least they get paid something!"
Bandcamp, for example, seems like a much fairer ideal for the industry. Luckily, the Epic buyout a few years ago did not immediately ruin the business.
As for the music in the 90's...music has changed. Naturally, one could argue that these are also exciting times: one can singlehandedly produce a record, distribute it independently, and be touring all over Europe without ever having to sign off to a major label. Is this not a good thing — or at least, a notable one? Of course, there's still great music around.
Oh my. Although I understand, and I do truly, that the em dash might be a tell for LLMs...I have been using it for years, now, and the last time this came up on HN I understood exactly when: Mac OS makes it very easy to type the em dash. You just long press the regular -.
I don't use a Mac anymore, but the first thing I'll do on a Linux build is configure my modifier key in such a way to produce — easily.
Not to deny that discourse on the internet, and reddit of all places, might be getting infested with LLM output. I just don't think focusing on the em dash is a good strategy to predict a tell.
The em dash thing is not very conclusive. I have been writing with the em dash for many years, because it looks better and is very accessible on Mac OS (long press on dash key), while carrying a different tone than the simple dash. That, and I read some Tristram Shandy.
Please don't mind my possibly simplistic question — but is this something that would bring Rust development closer to a Lisp environment? Seems like an interesting project.
This looks really cool! Might do a few hours travel to join.
I did not know about c-base either. Are there similar associations throughout Europe? I'd love to join one — seems to have a very cool hacker-y spirit :)
Very unrelated, but: I run Linux on an older Thinkpad and I appreciate fast websites. This is a very well-designed website! It loads fast and it scrolls quite quickly.
Does anybody feel the same? I feel like nobody touched upon this, but it's always very nice to feel interfaces are responsive.
Demetri Martin has a great joke on digital cameras: "I like digital cameras, because they enable you to reminisce immediately. Just like, look at us. We’re so young. Standing right there, wow. Where does the minute go?"
I remember when you first posted this and it is a project I think upon very frequently! It's nice to see you have made further progress — and that there are comments with attempts at solving! Great job.
I still find some problems with the navigation of the problems, but I am not even sure where to go to fix that. It has to do with the difficulty of each problem, but also with how large each topic is: algebra encompasses both linear algebra and linear equation solving, which is a very wide bracket.
But you're making progress. That's great! Congratulations on that, and I'll be sure to keep visiting the website.
Huh! I think I'll respond just for the sake of adding to the conversation: otherwise I mostly just lurk in here.
I read a lot of books on my Kobo e-reader and I wanted a way to retrieve the highlights of each book (a highlight is the result of gesturing over a piece of text, locally saving it on the device). But a given sentence could flow over to the next page, or a highlight could have been poorly taken (due to the previous reason, or sausage fingers, etc.) — and so I needed to retrieve context for each highlight as well.
Since I use TiddlyWiki for my personal "second-brain", I created a simple tool (using Textualize, a terminal user interface framework for Python) that retrieves highlights, provides context and allows for live-manipulation of context to achieve the correct highlight to save; it then makes a tiddler out of it. It's neat!
Here's the github if you want to have a look. It's not really anything professional, but it has been doing the job for me.
This is heartbreaking. It's possible you might not have it, but that response is so inadequate – and from three doctors!
If you want to read more on the condition, Gabor Maté's Scattered Minds is a good introduction to ADHD (he's apparently very good at conveying what it feels like, which might be helpful to you at this point).
Take what I say with a grain of salt — please do your own research — but I think both THC (to which you allude earlier in this thread) and alcohol affect REM sleep/deep sleep. In fact, THC might suppress REM sleep, rebounding when sober. That is why frequent smokers (specially before-sleep smokers) experience very tough nightmares when trying to sober up.
I see. I still feel this must be carefully thought out, because although exercises are being discussed online, this platform could potentially outright distribute them all at once in a centralised manner. And it can be a source of tension, specially without attribution (I've grown a bit more sensitive to this issue after realising how much effort goes into producing good exercises, like Advent of Code for programmers).
I think there would be value in knowing a given exercise comes from chapter X of book Y; it might even help track knowledge dependencies, so to say (to solve exercise Z, student probably needs exposure to all chapters between X-3 and X). And it could also be possible to build thorough different levels of exercises in different areas: a set of basic computation exercises (invert this matrix; solve this simple integral) - and these exercises, as you probably know, can be generated easily; some intermediate exercises of theorem applications; and then groups of higher difficulty material (which are probably somewhat more creative exercises).
Anyway, this is really an inspiring project and I hope it brings you lots of joy! and, in case it helps anyone, I've found a good trove of mathematics resources over at https://math.libretexts.org/Bookshelves.
Hello! Thanks for sharing. This seems like a great resource, and I love that it is open-sourced; I could find myself wanting to help develop this further, as I also have some appreciation for math, and also cherish the idea of having somewhere to find good exercises to tackle.
Not in the spirit of spoiling the fun or bring any unnecessary tension, I can't help asking: considering that these exercises are being scraped from .pdf sources, would you consider having the source for any given exercise? Of course, it brings problems of exposing possibly copyrighted material. I'm just wondering what your stance is on that.
It really sucks, but I'd rather pirate and know I'm at fault with the artist – maybe I'll buy some tracks off Bandcamp to make up for it – rather than let Spotify cover the transaction with a legal blanket, while the artists get almost nothing in return.