For Tolkien’s work, there is the twelve volume “The Complete History of Middle Earth” which is about as inside baseball as you can get for Tolkien.
I’d replace HoME with Parma Eldalamberon, Vinyar Tengwar and other journals publishing his early materials here.
Recommending Italo Calvino’s Six Memos for the Next Millennium, the lectures he has been preparing shortly before his death.
Not an assembly guide for a work of literature, but it’ll help your own process if it’s already ongoing and you want to improve.
The lectures also have some comments on what Calvino himself was doing here and there and why.
ChatMusician isn’t exactly new and the underlying dataset isn’t particularly diverse, but it’s one of the few models made specifically for classical music.
Are there any others, by the way?
The Phoebus cartel strikes again!
I expected that recording would be the hard part.
I think some of the open-source ones should work if your phone is rooted?
I’ve heard that Google’s phone app can record calls (though it says it aloud when starting the recording). Of course, it wouldn’t work if Google thinks it shouldn’t in your region.
By the way, Bluetooth headphones can have both speakers and a microphone. And Android can’t tell a peripheral device what it should or shouldn’t do with audio streams. Sounds like a fun DIY project if you’re into it, or maybe somebody sells these already.
Haven’t heard of all-in-one solutions, but once you have a recording, whisper.cpp can do the transcription:
The underlying Whisper models are MIT.
Then you can use any LLM inference engine, e.g. llama.cpp, and ask the model of your choice to summarise the transcript:
You can also write a small bash/python script to make the process a bit more automatic.
I enjoy xenharmonic music and modern academic music the most, but I’m not familiar with everything there, so any recommendations are welcome if you, reader, have something in your mind.
Because we have tons of ground-level sensors, but not a lot in the upper layers of the atmosphere, I think?
Why is this important? Weather processes are usually modelled as a set of differential equations, and you want to know the border conditions in order to solve them and obtain the state of the entire atmosphere. The atmosphere has two boundaries: the lower, which is the planet’s surface, and the upper, which is where the atmosphere ends. And since we don’t seem to have a lot of data from the upper layers, it reduces the quality of all predictions.
Interessen-Gemeinschaft Matte.
Given the fact that there was an unintentional DDOS when federated Lemmy instances were requesting the same preview around the same time, it must be one of LW’s servers, not anything on your side.
The only sure way to get rid of this effect is to use an instance entirely hosted on servers in anglophone countries, I think.
I know Google likes to localise their websites based on IP addresses. Perhaps the preview was requested from a Russian IP? (not necessarily yours, could be a VPN if you use one or one of LW’s servers)
This is not to say that Jung wasn’t a genius. Jung was THE BOMB DIGGIDITY (which, by the way, I wish was an official term in the Oxford dictionary).
If they love Jung so much (which I agree they should because Jung was amaaaaazing), why don’t they honor him by using the spelling he actually used?
Love etymological articles with unreliable narrators.
No IPA notation? ⸨I’m somewhat disappointed⸩
It would. But it’s a good option when you have computationally heavy tasks and communication is relatively light.
Once configured, Tor Hidden Services also just work (you may need to use some fresh bridges in certain countries if ISPs block Tor there though). You don’t have to trust any specific third party in this case.
Discounting temporary tech issues, I haven’t browsed internet without an adblocker for a single day in my entire life. Nobody is entitled to abuse my attention; no guilt, no exceptions.
If config prompt = system prompt, its hijacking works more often than not. The creators of a prompt injection game (https://tensortrust.ai/) have discovered that system/user roles don’t matter too much in determining the final behaviour: see appendix H in https://arxiv.org/abs/2311.01011.
Like Firefox ScreenshotGo? (I think it only supports English though)
Don’t know much of the stochastic parrot debate. Is my position a common one?
In my understanding, current language models don’t have any understanding or reflection, but the probabilistic distributions of the languages that they learn do - at least to some extent. In this sense, there’s some intelligence inherently associated with language itself, and language models are just tools that help us see more aspects of nature than we could earlier, like X-rays or a sonar, except that this part of nature is a bit closer to the world of ideas.
LLaMA can’t. Chameleon and similar ones can: