maggoats

joined 2 years ago
[–] [email protected] 1 points 2 years ago

I had one til a few months ago!

[–] [email protected] 17 points 2 years ago (1 children)

I wonder this too, but I'm coming to believe that as long as investors are throwing money at housing and people need it, it might not burst. With enough wealth concentration, maybe it just all gets progressively bought up and rented out at insane prices, with growth coming from speculation among massive institutional investors.

But I haven't really thought of this deeply or looked into whether it's sound.

[–] [email protected] 4 points 2 years ago* (last edited 2 years ago) (1 children)

Tu as le droit de refuser en toute situation à l'intérieur de 30 jours de réception du nouveau bail, je crois bien. Le bail sera donc renouvelé au même loyer et le proprio devra aller au TAL pour argumenter l'augmentation.

[–] [email protected] 1 points 2 years ago

The closest thing I've been able to find so far (which seems to have been under slow development by 1-2 contributors for the past couple years) is https://github.com/MPSQUARK/BAVCL which is based on ILGPU. I'll probably be keeping an eye on it though.

[–] [email protected] 2 points 2 years ago (1 children)

Unfortunately I don't believe NumPy has any built in accelerations (other than being a C library which is fast already), though I don't really know the ins and outs. There are Python libraries that use the NumPy API or otherwise do some stuff to accelerate it on e.g. CUDA, but the Numpy.NET library as far as I know uses its own embedded Python + numpy, so as far as I can tell that wouldn't be an option.

[–] [email protected] 2 points 2 years ago

Unfortunately not, though I forgot about SIMD! It doesn't seem to support arbitrary-sized matrices or arrays out of the box, though I guess I could index the vector type myself. Still, it doesn't offer the operations I'd like, as far as I can tell.

Thanks though!

 

Hi!

I'm looking for a C# library for matrix operations and preferably some linear algebra or optimization routines. Basically a NumPy/SciPy or PyTorch.

Ideally there'd be support for various backends (e.g. CPU, CUDA, OpenCL) for operations where possible.

As far as I can tell, there's Math.NET Numerics, Numpy.NET (which binds to Python's numpy), and NumSharp (which hasn't had commits since 2021), which seem to fit the bill mostly, though none are accelerated.

Otherwise, there are some libraries I've forgotten that seem to specifically target CUDA, which is too selective for my purpose. Maybe it was Hybridizer, which seems like its own compiler, which I'm not sure would work for me either.

There's also ComputeSharp which lets you write shaders directly in C#, though targets DirectX if I understand well.

The closest thing I've found is ILGPU, which seems brilliant since it JIT compiles kernels to CPU, CUDA, and OpenCL. The problem is I believe I'd need to write my own operations and kernels and essentially implement my own matrix compute library, though there seems to be some work on it, so maybe what I'm looking for is supported out of the box, minus optimization algorithms and so on.

Basically, does anyone have any pointers?

[–] [email protected] 4 points 2 years ago (1 children)

Google en passant

[–] [email protected] 1 points 2 years ago

There might be some kind of trust system that could work. I have no idea of course but I'm envisioning something like Stack Overflow's system and a bit of community correction and authority à la Wikipedia.

[–] [email protected] 1 points 2 years ago

Why can't the government just build it as a public utility?

 

Hopefully this one makes it through. I've been desperately trying to post to a community on this instance. A spinner appears, and then nothing for a half hour. I tried again, same thing.

Anyone know what's up?

[–] [email protected] 3 points 2 years ago

Yeah, I saw a link to a study that modeled outcomes within the next fre decades where acidification kills enough marine life and favors the reproduction of other microbes. Something about either low oxygen in the oceans and/or the atmosphere, or maybe a dangerous increase in stmospheric toxins resulting from that.

Maybe I'll try and find it to verify.

[–] [email protected] 5 points 2 years ago

You can find an option not to hide NSFW content in your profile settings!

If you sort by New on All you're guaranteed to come across porn.

[–] [email protected] 2 points 2 years ago

I agree, based on these statistics. Prior to the obvious jump in bot-farmed accounts, there were about 162000 active users with an active user proportion of about 0.186 (somewhere around >29000 active users).

Now there are 649k lemmy users and an active user proportion of 0.055 (~35600 according to the dashboard). If we assume those 35600 users represent the pre-bot-farming ratio of 0.186, we get 35600/0.186 or about just over 191000.

That's still an increase of probably 30k true users, unless the proportion of lurkers have also suddenly drastically increased. I don't think that's true, because, pre-bot-farming, when the user base started growing with the Reddit debacle, the proportion of active users increased accordingly. I assume that's because new users are excited to help grow the community.

Still, in the past two days alone active users went up by over 5k (15%). Maybe that'll continue exponentially, and there'll be 95k (500k total non-bot) users two weeks from now, or maybe it'll continue linearly and there'll be 70k (~385k) users.

I don't know why I spent so long thinking about this.

 

Just a random thought experiment. Let's say I have my account on a lemmy instance: [email protected]. One day I decide to stop paying for the domain and move to [email protected], and someone else gains it and also starts up a lemmy instance.

If they make their own [email protected], how do federated instances distinguish who's who?

Have I misunderstood the role of domain names in this?

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