I also think a part of it was that grenades were not classified as the same thing as a firearm. So there were circumstanses where it was forbidden to have a gun, but a grenade was fine. That kept them in circulation.

It is probably in natural units where c=1. Then you see that all the time. Just do t -> ct and you are grand.

They should make a usb-port with a spring in it which can be released with eject. Until then I have to be content with just making sound effects when I run eject on other devices.

Bo Burnham - That Funny Feeling

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.

Flogsta*

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.

Like a fairly realistic one: measurement exclude a cosmological constant as the explanation for cosmic acceleration in favour of a quintessence scenario.

I guess it is different reasons for different people. But for me, I started using ubuntu in 2005. When I was learning linux, it was just not complete enough. You install another DE/WM, to try it out, and stuff started to break. So I switched pretty quickly. I tried to return every now and then, because it had an environment of newer packages which I waned/needed. But it was never worth it, this or that always broke when you tried to do something peculiar. I use ubuntu every now and then, but it is mostly no good. The issue is really just snap. Snap firefox on rpi, which is the default, is just trash and unusable. It is crazy that they made it the default. I have also had servers where snap-services just eats too much cpu and first thing I have to do is to purge it. So, in summary, I don’t really trust them to provide a reliable system, and I am sceptical of their direction.

That screenshot is from another site. An account named longpanda has also appeared on lemmy and had their post/replies removed because of impersonation suspicions.

I think it is wise to take extra care on this issue on what you read and trust.

Not sure what Disk Manager is, but if it says

USB Mass Storage device detected

It appears to be something. If you do a sudo journalctl -f before you plug it in, does it tell you what device name it is given? If it is sata-to-usb you are using it is probably /dev/sd[a-z] or so, does anyone show up when you plug it in?

I was talking to someone who were cleaning student nightclub bathrooms, and he was like “What are they doing? Why is there used tampons stuck to the celing above the toilets? Do they just fling them up there when they take it out?”

If you do, their e-mails asking you to donate again are a bit weird and manipulative. Their subject lines are like “FIRSTNAME - I’ve had enough”, “Our final email” (got several of those), “It’s non-negotiable”.

EU seems to be like “you ASKED edge to be the default browser? This is unimaginable anti-competative behaviour!” towards windows, and then all like “you do you, apple, we good”.

I recently got some Toshibas and they were loud. They also presented with a seek error pre-fail after a few days (all three of them). That propably adds to the volume, but the seagate and wds I switched to just have some clicking noises. Not too bad.

When you really have to look deep into god’s mind you just have to put templeOS on a supercomputer.

Oh, it is part of the Tor project even. Cool. Thanks. I will read the links.

How does this work? I thought WebRTC is UDP and Tor is over TCP. I don’t really know what I’m talking about here, but I’d like to know some details.