Yes. How to keep the humidity sensor clean and accurate over time may be tricky though.

Big fan of trip-hop & liquid DnB.

Trip: https://www.youtube.com/watch?v=gEbU9EZsETY

Liquid: https://www.youtube.com/watch?v=jlTAnxX_R9Q

Bonus: https://www.youtube.com/watch?v=SltSONdHf5k

Down. Let’s fuck em up.

Sure, glad to help. We need every bit of help against the powers that be at this point.

calyxOS has it too.

🙄 sigh. Good luck man, maybe get outta that area if that’s possible. West coast seems to be ok (just don’t go inland).

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I’ve been the dude to help at least twice in my previous life there. Yeah, we complain a lot. Oh well.

It’s like a joke unto itself. A brain worm couldn’t survive in RFK’s brain.

Sounds on brand.

This is so disgusting. I never wanted to visit Israel even if it was for $free, but now I have even less respect for those Zionist assholes, and I had low respect for them before.

Where?

I really, really dislike the guy, but if he didn’t actually use imagery from the film… Does this suit actually have standing?

C’mon guys, cripes. What are we doing here, feeding lawyers for the sake of feeding lawyers??

Hope there’s real consequences for that attendant, considering.

Brush yo teeth bruh.

Just kidding 🤪

That’s a funny typo 😆

First wall problems compounded by geometric constraints, fueling, magnetic & corresponding mechanical complexities, particularly over long periods of time where material fatigue sets in due to coils applying heavy, dynamic loading… there’s a lot against tokamaks.

They seem to impress people, and we could all use novel research into MHD. But @[email protected] is kind of correct.

Nah.

All of what you’re saying seems correct. I think this is more of a meta discussion, on how (in this case) retries, even with exponential back off, aren’t a solution by themselves when you look at the system overall. There are interesting hidden caveats to any common solutions, this is one I personally wasn’t aware of.

Practically, adding a timeout budget so that the clients themselves just error out (forcing a manual refresh) sorta accomplishes the same as what you’re positing.

Hmm… I’d say that was an obvious example to cause the situation, the real point was exposing the more subtle problems with feedback loops.

What happens if the server in question was at 80% capacity, and due to hardware faults, that leads to 100% utilization? Can you reconfigure your services if there’s a cascading overload through enough of the system without actually adding to the system load? What do you do about the fact that these loops gets ever more powerful and sudden the larger the system?

The author seemed to be suggesting that we carefully consider how to avoid open feedback loops, and build stability in. This article clued me in that stability problems can be borne from “industry standard” advice if you don’t carefully think about it.