There are many ways to play a guitar.
The Iron Maiden guitarists, blew away everyone else in the early 1980s with their guitar solos(and playing in harmony). They had mastered pretty much every technique you can use on the electric guitar. Tapping, etc.
Yet, they can not play like Paco De Lucia, who finger picks a nylon stringed guitar. And Paco De Lucia can't play like they can. So who is really best?
There is no best musician. Not just because there are a multitude of different skills that go into it, but also because nobody agrees on what weight to give to each of them or even what they are. This makes it impossible to make an absolute ranking. At best you would get a Pareto front made up of the greatest.
Any time somebody makes a claim that their passionate judgment about a subjective topic is objectively true, that’s a bit-flip moment for me. Doesn’t mean I will ignore them, but we are now having a different conversation. They are a “fan” and discussions with fans are often not that interesting.
And fwiw, Paco De Lucia is technically skilled to a fault, but does very little for me.
"There was mention of Paco de Lucía, who is the greatest, well, if not the greatest ever flamenco guitarist. Many people love him dearly as I do, and if somebody says, 'Can you play like Paco?' I say, 'No, no.' [laughs] So I just jumped on board, and it was wonderful. Very nice people." [1]
Howe made up a flamenco piece on the spot for a Queen song so he was talking about Paco then.
The nod is there by the man himself for the greatest flamenco guitarist.
But if you discuss something that is basically subjective, you still need criteria because if one person is saying oh Paco is the most technically skilled that's one thing. Another would be more akin to how the Decathalon decides the greatest athlete.
I don't know if Howe is the best ever, but if there was a Decathalon equivalent for guitarists, I'd bet Howe would top Paco no problem. And in that event, he'd top Jimi Hendrix and Page too. But that's just my benchmark, having range and full command of the discipline.
This looked so good until I saw it requires switches to be soldered (by them or you). Hot-swappable switches is a must for me, specially at this price point. I guess my ergodox will have to last a bit longer until a proper replacement is found.
I tried to use it but I had some issues as others in the thread.
I have tried many sources and method over the years and settled on spleeter [0]. Works well even for 10+ minute songs, varying styles from flamenco to heavy metal.
You can always run higher quality models than Spleeter, for example Demucs or the real Open-Unmix UMX-L, in their full PyTorch glory, as long as you have a computer that supports it.
I'm somewhat limited in what can run in a browser by the nature of the project.
Projects like this tend to be built by people with no interest in marketing, and for a non-profit I think it's fine to keep that particular sort of poisonous corrosion at arm's length.
And I don't mean it as a knee-jerk response, this is open-source, anyone with skills is welcome and if you send a pull request here https://github.com/GrapheneOS/grapheneos.org with the screenshots presented in the way you'd expect them, it might get merged.
- I don’t have a phone that can run it, I’m just curious but without seeing what it looks like it’s hard to become interested
- even if I could install it, there’s basically no chance I would install it because I have no idea what it looks like, because there are no screenshots on the front page
Yes. The librem 5 is a somewhat solid alternative. The pinephone seems to remain a developer platform as it lacks simple features expected out of a phone.
Reasons : there is a significant amount of work needed to get codes to work on a distributed hybrid or gpu-only fashion. It's a completely different coding paradigm that needs significant studies before commercial entities adopt gpu use at scale. All-gpu solvers are starting to be developed, such as fun3d GPU[0], but features are very limited. GPU development is starting to catch up in the community, so it won't be long before a significant portion can operate heterogeneously or in gpu-only mode.
The amount of scientific work that could be done with such a machine would be staggering, specially if it can be local. I use 2-10k cores on a daily basis, having a dedicated machine with 1k would make debugging large scale problems much faster.
Large-scale simulations of phisical systems tend to have a variety of length/time scales that require vast numbers of CPUs to model in a timely fashion. This could be anywhere from a few hundred cpus to tens of thousands. Fluid dynamics, solid mechanics, fluid-structure interactions, electrohydrodynamics, etc. simulation tools can all benefit from having a larger number of highly interconnected CPUs, we can simply resolve engineering problems better with more computational resources for better understanding of problems.
It is not a single language. c, C++, Fortran are the most commonly used. The communication happens using one of many versions of the message passing interface [0] (MPI). MPI essentially spawns child processes and a communication ring between nodes using whichever interconnect is available (usually infoniband).
