I don’t follow the US politics to that degree, but do they not yet? The Swedish government is collaborating with the far right who considers even half of all people with a single foreign born parent (that is, legal or not, EU or not) to be part of the “replacement” that is, in their view, taking place, and need to go. So it is a kind of a common thing here.

I used to make raspberry wine. Super easy. Some raspberries, sugar, and yeast. Put it in a barrel, wait a while, get shitfaced.

Mixed numbers fraction syntax [1] is the dumbest funking thing ever. Juxtaposition of a number in front of any expression implies multiplication! Addition? Fucking addition? What the fuck is wrong with you?

[1] https://en.m.wikipedia.org/wiki/Fraction#Mixed_numbers

– And what you say to a cup, Father?

– Feck off, cup!

Then the OP makes sense. Because the white part of a watermelon tastes nothing like cucumber.

It does spell trouble, but you might be able to ask your ISP to give you a public IP in that case.

You are not uploading, others are downloading. The direction of traffic is the same, but the incentive is different.

Before torrents, there were services where you just announced “there are all my files just download what you want” and some places had quotas on how much you should make available for download. People were sharing all kinds of random trash and also downloading that trash.

A joke was – was it on like bash.org? – that you have some file you want to backup, you have to make people want to download it, so you just call it leaked_celebz_nudez.zip or something and it would be downloaded forever, even if it did not work because so much trash was shared and if could help your quota.

So you’d have to use the strategy in that joke. Make a torrent of your stuff, just encrypted so it is trash for anyone who wants to download it, but you’d have to make the torrent content so imcredibly desireble that even if the comments and ratinfs of the torrents goes to shit, people will still be downloading it in the hope it works. What would be that desireable though, I do not know.

I used to use WindowMaker as my windowmanager, there was a setting which had the comment “this is annoying”, which unless used, wm context menus may be rendered off screen, which is really fucking annoying. I was disrohopping a lot at the time, so it was always “install windowmaker, turn on ‘annoying’ setting”

Awesome. Thanks. What is dawn/usteer?

Edit: nvm, I see it mentioned in the openwrt docs. I’ll check it out, thanks.

Can you do “roaming” / “fast-transition” solutions with the openwrt one and/or two? (What is called “mesh” by e.g. tplink)

The method is… too simple? So anyone can blur anyones anything?

Kiitos is Thanks in finnish.

There is no auth needed for gh runners? Like a secret shared between them and the repo? I would guess repo secrets are not shared when forked… right?

Ok, so politicians that sow polarization by complaining about DEI is bad?

The only people you mention “abusing” what you call the “well-meaning intentions” of “DEI” are:

a growing population of poor whites

As they are, as implied by your formulation, misinterpreting the policies as favoritism. It this what you meant with abuse?

Oh yeah, that reminds me I wanted to replay that game.

I’ve been thinking of a dreaming-like algorithm for neural networks (NN) which I have wanted to try.

When training an NN, you have a large set of inputs and corresponding desired outputs. You make random subsets of this and for each subset you adjust the NN to correspond more to the outputs. You do this over and over and eventually your NN is close to the outputs (hopefully). This training takes a long time and will only be done this initial time. (This is very a simplified picture of the training)

Now for the dreaming. When the NN is “awake” it accumulates new input/output entries. We want to adjust the NN to also incorporate these entries. But if we use only these for training we will lose some of the information the NN has learned in the initial training. We might want to train on the original data + the new data, but that is a lot, so no. Lets assume we do no longer even have the original data. We want to train on what we know and what we have accumulated during the waking time. Here comes the dreaming:

1. Get an “orthogonal” set of input/outputs of what the NN already knows (e.g. if the network outputs vectors, take some random input, save vector. Use a global optimization algorithm to find the next vector such that is orthogonal to the first. Do this until you have a spanning set).
2. Repeat point 1 until you have maybe one set per newly accumulated input/output entry, or however much appears to not move you too far from the optimization extrema your NN is in – this set should still be a lot smaller than the original training set.
3. Fine-tune train your NN on the accumulated data and this data we have generated. The generated data should act as an anchor, not allowing the NN deviate too much from the optimization extrema and the new data will also be invorporated.

I see this as a form of dreaming as we have a wake and sleep portion. During waking we accumulate new experiences. During sleeping we incorporate these experiences into what we already know by “dreaming”, that is make small training sessions on our NN.

Short King

These fines are not zero at zero income.

The “äss” phonetic spelling will really help the english speakers reading it not pronounce it as “ass”. Love it.