cbarrick

Yes.

The TWINSCAN EXE 5000 has a resolution of 8 nanometers.

https://www.asml.com/en/products/euv-lithography-systems/twinscan-exe-5000

The Google app is often used as a web browser by the tech-illiterate.

It even has tabs.

This is how my grandparents use it.

Ha, I see.

Yeah, sarcasm over text forums is sometimes difficult to pick up on.

So you're telling me that there was a Mac super computer in '05?

I mean, they don't have to release the source code. A compiled version would be fine.

Why?

Because I have YT Premium.

The first party app is pretty good in this case. No ads. Supports offline downloads, including auto-downloading videos from your subscriptions. The search is obviously good, because Google.

it's unrealistic to assume it would exist forever.

Older multiplayer games would let you self-host the server, long before the current trend.

Ubisoft doesn't have to continue to host servers. They just have to release the server code. Zero cost to them.

It won't

So, I'd argue that "frontend" and "backend" are the default modes of software engineering these days, and that embedded is a more niche field.

That said, if you're doing encryption code, you're doing far more advanced math than backend monitoring and alerting.

You often need to be pretty good at math. But not because you're "doing math" to write the code.

In real world software systems, you need to handle monitoring and alerting. To properly do this, you need to understand stats, rolling averages, percentiles, probability distributions, and significance testing. At least at a basic level. Enough to know how to recognize these problems and where to look when you run into them.

For being a better coder, you need to understand mathematical logic, proofs, algebra/symbolic logic, etc in order to reason your way through tricky edge cases.

To do AI/ML, you need to know a shitton of calculus and diff eqs, plus numerical algorithms concepts like numerical stability. This is kinda a niche (but rapidly growing) engineering field.

The same thing about AI also applies to any other domain where the thing being computed is fundamentally a math or logic solution. This is somewhat common in backend engineering.

I'm not "doing math" with pen and paper at work, but I do use all of these mathematical skills all. the. time.

I am an SRE on a ML serving platform.

As someone living in Pittsburgh, I hate this.

Traffic is going to be a mess on Monday.

Both Kamala and Trump have rallies on the same day...