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Who still reads Ars Technica? Has been primarily slop and payola for some time now.

$50k and €30 are of the same order of magnitude.

This is offtopic honestly, but I'm curious if I've been using this phrase wrong for my whole life. Doesn't "order of magnitude" refer to steps of powers of ten?

$50000 vs €30. (or €42066.30 vs €30 if I normalize the currency) 5x10^4 vs 3x10^1.


You have it right, perhaps the original poster was referring to it in a more colloquial manner, in the sense that against 200 million in revenue, 50,000 and 30 are in the same ballpark?

I took it as a joke about the USD/EUR exchange rate ;)

> in the sense that against 200 million in revenue, 50,000 and 30 are in the same ballpark

I don't understand how those are in the same ballpark? I thought saying something is in the same ballpark suggested that they are similar in scale, and the implication is that little-leauge does not play in the same ballpark as a NBA team. They are in the same category (baseball), but not at all the same level.


At a big enough scale, previously large differences are effectively 0.

50k/mo is 600,000/yr vs 360/yr at 30/mo. Thats existential for a 1MM/yr company. Neither register on a balance sheet for a 1B/yr company. They are both closer to 0 than being a major cost.


But saying that 200 million and 30 are in the same ballpark is not true in 99.99% of contexts.

Even 50k and 30 I would not say are in the same ballpark. I've worked for major corps and of course a cost saving of 50k/month would not register for the overall company but it probably would for my team. A saving of 30/month is probably not worth spending any considerable amount of time on in most non-personal contexts.


I remember hearing something about the circumstances of that transfer, do you have a link/reference. Also, when you run Syncthing (the normal build I assume, without the Android wrapper), are you able to reliably prevent Android from killing it?


Last things first: on my phone I only run syncthing "on demand", so I can't actually answer your question. Maybe someone else can chime in? From the little I've brushed up against the issue you're referring to, I think there's a way to have it not get killed, but it seems like it might be a little bit of a hassle.

On the transfer, here is what I could dig up:

The github issue about it was deleted, but archive.org has copies: https://web.archive.org/web/20251215062049/https://github.co...

HN discussion of same (with another link to the syncthing forum): https://news.ycombinator.com/item?id=46184730

Lobsters discussion: https://lobste.rs/s/urbcpw/potential_security_breach_syncthi...

(and here is the announcement that the official android syncthing app was being discontinued: https://forum.syncthing.net/t/discontinuing-syncthing-androi...)

No shortage of reading if you have the time! I'm quite happy to be running just the "standard" package (although, yeah, I should've pointed out that I don't run in continuously on my phone...)


Or several times more, in some cases


Dairy Queen


I lived in Quito Ecuador back in the late 70s/ early 80s. There was a hamburger place called "Burger Queen"--the name was in English, presumably to attract people who knew about Burger King. They had a sign that read "Casa del Whooper" (not Whopper).


That's pretty funny, in the old movie Coming to America there was a scene parodying something similar but it was McDowells vs McDonalds.

https://www.youtube.com/watch?v=djI_ret3S9g


The Golden Arcs


We had a Burger Queen in town when I was growing up. They closed in I think the early to mid 80s and became a Hardees.


I'm gonna be 90 and Burger King/Dairy Queen puns are still going to make me laugh.


Ooh. That's a dealbreaker, ladies!


I thought I was the only one who remembers this one.


Oooh, sick burn


Depends on the audience


Because she mentions Obsidian. Though I don't hold that against her.


It sounds like you get that LLMs are just "next word" predictors. So the piece you may be missing is simply that behind the scenes, your prompt gets "rephrased" in a way that makes generating the response a simple matter of predicting the next word repeatedly. So it's not necessary for the LLM to "understand" your prompt the way you're imagining, this is just an illusion caused by extremely good next-word prediction.


In my simple mind "Who is the queen of Spain?" becomes "The queen of Spain is ...".


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