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(I’m glad you did, because I hated it, haha.)
(I’m glad you did, because I hated it, haha.)
They were definitely on grass.
Seems like OP is not familiar with fae mythology.
If it helps, and if you haven’t already, I recommend looking into “executive disfunction”.
Might not fit your personal experience, but it can be nice to know when there’s a name for a problem you’re facing.
I’ve wasted so much time just sitting, doing nothing, feeling overwhelmed. Having a name for that feeling was the first step for me to (at least somewhat) overcome it.
The world looks like a horrible place, barely hanging on by a thread, until you step outside and see that society and the people in it are generally pretty chill.
Of course, that said, I don’t live in the states. Everything could be literally on fire there for all I know.
Sounds like me in Factorio ngl.
Wtf why isn’t this the guy in charge of Bethesda??
The first and easiest thing I’m seeing is to up that meager developer hardware budget.
Haha well that’s uhh…
Ngl that’s a interesting idea. Would definitely want it running locally, though.
When I quit at McDonalds to start a career in welding, the owner of the store happened to be visiting. He took me aside and told me “You know, those guys at… (Sorry, what was that place called again? Right…) You know, I’ve heard the people there aren’t as nice as we are here. Are you sure you want to leave?”
I’ve never wanted to punch an old man so much in my life. In that moment, he was the personification of class warfare to me, trying to “trick” me into throwing away my future just so he could have more cheap labour. And the fact it was so blatantly obvious added insult to, well… insult.
Anyway, it’s not the same, but the “wallpapers” thing definitely gives me the same vibes, lol.
Right? Like, by this definition, the training algorithm is already “corrupting” the images by vectorizing them. This is just an overly roundabout way of saying “See? The image is cropped, so we good now!”
Hey now, don’t disregard us Canadians over here.
Regarding the TTS specifically, I remember looking into TorToiSeTTS back when this stuff was first coming out. You can generate ElevenLabs quality audio with it, but it’s insanely slow. In fact, when I was looking into it, it seemed like ElevenLabs may have been using a (much faster at the time) version of TorToiSe TTS, given the output is so similar.
According to the linked Github page, they seem to have solved the speed issues now, so it might be worth looking into. Of course, the other commenters have provided solutions that are pre-integrated into the LLM, but if you’re just looking for TTS this could be worth checking out. Also worth noting that this requires an NVIDIA GPU.
Tbf, education isn’t a thing that ever ends, just gotta learn the new definitions is all.
I run JF in a docker container, and although I don’t have backups of my config files yet (because I don’t really care about setting up from scratch if need be), it would be trivial to simply backup the mounted config volumes. Makes upgrading safe and easy, too.
That’s probably how I would recommend going about this, personally.
Oh shoot, you’re totally right! I’ll admit I skimmed - thank you for calling me out on that.
I’ll still stand by the fact the definition has changed over time, but I can’t really argue much of anything after such a big fuckup lmao.
Of course, not to say the data isn’t also important though. It’s very possible that we’re missing something crucial regarding how the brain functions, despite everything we know so far. The more data we have, the better we can build/test these more streamlined models.
I say we ditch this nonsense altogether and go back to vague descriptions of the Sun’s position in the sky.