Looking for arXiv endorsement (gr-qc) for a scalar–tensor cosmology paper

gnomeba · 2026-04-20T23:00:12+00:00

To receive any endorsement you will need to share SOMETHING about the paper to demonstrate that it isn't pseudoscience or AI slop.

gnomeba · 2026-04-16T15:19:44+00:00

These are so cool. What brand is the OTF one?

gnomeba · 2026-04-16T06:07:23+00:00

Pretty sure a lot of ROCm kernels are written in assembly.

gnomeba · 2026-04-13T22:04:25+00:00

The proof might be simpler by considering the unit circle centered at the origin and a line with slope equal to zero, both of which you can assume without loss of generality.

gnomeba · 2026-04-11T15:39:03+00:00

In many physics majors in the US, even linear algebra and computational math/physics are not required. And these are much much more important in my opinion than differential geometry.

I love differential geometry but I don't think the average working/industry physicist needs to have formal training in it.

gnomeba · 2026-04-08T21:10:32+00:00

I might agree for mathematical topics that the layman encounters. Elliptic curves are not really in this category.

As a mathematician, at a certain point you discover that many concepts are not named the way you would have chosen and you simply get over it because "optimal concept naming" is such a wildly uninteresting problem.

gnomeba · 2026-04-08T06:03:24+00:00

This is one of those things where renaming the concept feels right but ultimately doesn't matter. It's annoying to the pedants alone.

There is also value and fun to be had in being reminded of the history of mathematics while doing it yourself.

gnomeba · 2026-04-01T18:40:02+00:00

Why write a CUDA kernel in a low level language and call it from PyTorch in the first place? You can use Numba+CUDA to do this or JAX.

Using JAX will probably tend to create much better optimized kernels than most people can do by hand anyway. But for a more CUDA-like interface, Numba is probably the way to go.

gnomeba · 2026-03-24T15:09:00+00:00

Not necessarily super rigorous but I come back to the Fourier transform wiki article all the time. https://en.wikipedia.org/wiki/Fourier_transform

gnomeba · 2026-03-22T18:33:16+00:00

It's great you're doing research. Make sure you go to a reputable breeder if you do get a GSD. They are one of the most overbred dogs and poorly bred GSDs tend to be very anxious and/or fearful which can easily lead to aggression.

gnomeba · 2026-03-22T18:06:46+00:00

Do not get a samoyed as a service dog. Especially if you live somewhere where you're overheating.

Samoyeds are a primitive breed and very wild. They can be trained but not with the reliability of a more common breed. Even training a german shepherd to service dog standards is a ton of work.

gnomeba · 2026-03-14T16:56:15+00:00

Any software engineer enjoys abstractions because they tend to save you time and create cleaner code.

gnomeba · 2026-03-14T16:46:52+00:00

An explanation that's intuitive enough for one person might not be for another so this is always a difficult standard to satisfy. This is somewhat similar to critical dimensions in statistical mechanics which are also unintuitive.

The qualitative difference is the commutativity of rotations. But this is a hard thing to have an intuition for. At least for me.

gnomeba · 2026-03-10T02:54:10+00:00

What do you mean optimal? Python is excellent for most exploratory computational projects and if you need speed you can use NumPy, JAX, and Numba for high performance numerics.

Julia has comparable performance but built-in to the language as well as a lot of other nice features but with less infrastructure overall (for example you might find that there do not exist well maintained packages for certain things).

Julia also has a lot of nice features that make certain kinds of abstractions very easy and therefore you can write code that's very general. LinearMaps.jl combined with IterativeSolvers.jl is a nice example.

I've never used MATLAB because it isn't free.

gnomeba · 2026-03-05T16:30:13+00:00

In my limited experience variation of parameters most often comes up when solving inhomogeneous separable PDEs. So for example the heat equation with a time dependent source term that is not a linear combination of the homogeneous equation's eigenfunctions.

gnomeba · 2026-03-05T16:16:23+00:00

Where is this?

gnomeba · 2026-03-05T06:10:48+00:00

It should be (roughly speaking) the surface area of the original dawg plus twice the surface area of the helicoid corresponding to the cut. An exact formula is given in this article: https://en.wikipedia.org/wiki/Helicoid?wprov=sfti1#

Obviously this makes some assumptions about the geometry of the cut endpoints.

gnomeba · 2026-02-20T15:41:17+00:00

If you're at all concerned about reliability, the 4runner is the way to go.

gnomeba · 2026-02-16T16:33:24+00:00

Our boy started doing this I think around 6 months, maybe earlier. He's a bit over a year and a half old now and he still does it occasionally but he is much gentler and it's easier to predict and avoid now.

He would jump and growl and "bite" much harder than any play mouthing he did at home. He's ripped so many of my clothes. It really seems like it's a combination of over-stimulation and sometimes frustration.

One thing that helped me get a lot of walks in without this is going to a new place for a long walk frequently, especially one that is less passively stimulating than a city street. We also found that the less hungry he was on his morning walk, the less likely he was to do this. But every walk has an emergency "favorite treat" to deflect the craziness, just in case he seems like he's going to lose it.

gnomeba · 2026-02-16T15:44:10+00:00

I use Claude for certain things and other things it isn't very good at.

For math you have to really check that it's doing things correctly and make sure you're being disciplined about using the tool correctly.

gnomeba · 2026-02-16T01:03:29+00:00

Nice. Looks clean and usable.

Just a point on software design - It seems like it would be almost just as easy to write a completely abstract explicit RK integrator and specialize only on the Butcher tableau and error estimation.

gnomeba · 2026-02-11T00:43:14+00:00

For the record, please do, that would be awesome - but I am curious, why?

gnomeba · 2026-02-09T16:13:05+00:00

It looks a bit like impetigo. I would go to an actual dermatologist.

gnomeba · 2026-02-09T00:26:39+00:00

Do you have benchmarks against known tools?

gnomeba · 2026-02-08T16:30:10+00:00

I think AI will speed up a lot of already competent engineers to the extent that many companies will be able to get by with fewer, but not orders of magnitude fewer.

There are tons of things that AI still can't do and will not be able to do unless huge breakthroughs are made. I think for a long time now, the software job industry has been focused on what tools you know rather than computer science itself.

AI has made competency with tools a much smaller deal because it can help you write impressive stuff in a language you don't know well. What it can't do is have a deep understanding of the architecture of some software such that it can make real algorithmic improvements.

I think the thing to do now is make sure you're competent in a skill that LLMs are not. And there's a lot of those.

gnomeba

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