I really want to send this to my arachnophobic friend…

…alas I shall refrain.

And sometimes it seems irrational.

You can do a lot of cool stuff with cameras. AR-tracking and computer vision are the main ones that come to mind. I wouldn’t trust the glasses from Meta to keep this data safe though.

Try Star Technology. It‘s a (relatively) beginner friendly GregTech modpack and really good.

Greg

Whenever I work on something, I don‘t intend on publishing, I use What the commit.

I found a blog post about this. The bottle in this particular image doesn‘t look like the one in the blog post, but it‘s a similar idea.

It‘s free*

Reference to this song?

Manul

It‘s like that one planet in SMG.

Feels like everything is. Might as well describe every app by it‘s (now) secondary function.

The (effective) low-pass is only applied after the signals have been multiplied. This filters out the signal with the same frequency (and phase) as the reference. I have a more detailed comment on how this works in response to another person here in this comment section. This is useful for applications, where the signal can be drowned out by the noise, but you know what to look for, and where the phase information is important. (e. g. a DC signal that is chopped at a selected frequency or an AM-signal).

The device, I‘m referencing here is called a lock-in amplifier. When you try to measure an extremly noisy signal without all the noise, you can use one of these. If you‘re dealing with a DC-signal, you can chop it at the reference frequency.

Here‘s a great write up on the priciples of this technique: https://www.zhinst.com/sites/default/files/documents/2025-10/zi_whitepaper_principles_of_lock-in_detection.pdf

But TLDR: After the reference signal is adjusted to have same frequency (and therefore constant phase difference), you get a signal that oscillates with ω_\text{in} - ω_\text{ref} and ω_\text{in} + ω_\text{ref}. Crucially, in the case, where ω_\text{in} = ω_\text{ref} the term becomes constant U(t) = U_0 |e^{i \theta}| while the other terms from other frequency components (Fourier-series) still oscillate. This is where the averaging comes in. An oscillating signal will average (roughly) 0 over a long enough duration. The output is then the amplitude of the desired signal without all the noise.

Oh no… I just noticed an additional “ whoever finds it, can keep it (or make their own perfect version).

Well… it‘s also killing humans, so… plan worked ig?

And most of it will never even be used up.