Deep learning doesn’t stop at llms. Honestly, language isn’t a great use case for them. They are—by nature—statistics machines, so if you have a fuck load of data to crunch, they can work very quickly to find patterns. The patterns might not always be correct, but if they are easy to check, then it might be faster to use them and modify the result compared to doing it all yourself.

I don’t know what this person does, though, and it will depend on the specifics of the situation for how they are used.

It would probably have to be updated in each place it is used, and these articles are unlikely to be frequently updated. It’s only had that name for a few years.

It (along with Stokes’ theorem (they’re actually the same theorem in different dimensions)) helps yield Maxwell’s equations; specifically, if you want to change the flux of the electric field through a surface (right hand side), you need to change the amount of charge it contains (the source of the divergence on the left hand side). In other words, if you have the same charge contained by a surface, it will have the same flux going through it, which means you can change the surface however you wish and the math will still be the same. Physicists use this to reduce some complex problems into problems on a sphere or a box—objects with nice, easily calculable symmetries.

Or is it exactly like saturns rings but we see the whole ring bent round the top because a black hole bends the light around so we can see it?

Hit the nail pretty hard on the head there

I’ve been to this site hundreds of times, but this is the first time I’ve noticed

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70-100 years ago, so not really

The SM is half the puzzle. The other half being Einstein’s field equations (which, despite the beautiful notation, are just as complex). Also, I will note that there are some spherical chickens in this equation as well—like massless neutrinos.