The philosophical arguments are definitely real and valid, but I still find the clans and labels funny.

Are they upsampling - whatever that means in the context of datasets?

AFAIU slim pajama is about 627B tokens, and Starcoder:

> approximately 250 Billion tokens.

Ed: I see TFA says:

> Combined Dataset Size - Around 950B tokens

> Total Tokens During Training - 3 trillion (slightly more than 3 epochs/1430k steps)

... but I'm not seeing how one becomes three? That's more like 1 trillion than 3 trillion tokens?

I want the dystopia I was promised in my youth, not the one I got.

Excellent. Any people running these somewhere? Not really interested in sex chats but chatbots that weren’t neutered for any topic/words.

I went from terrible at memorizing basic arithmetic to top of class at doing real math.

There were test/testp models that were based on SD, but v4 and v5 are created from scratch.

Its not that simple, as A1111 uses the old stability AI implementation while pretty much everything else uses HF diffusers code.

I worked trying to add torch.compile support to A1111 for a bit, fixing some graph breaks locally, but... It was too much. Some other things, like ML compilation backends, are also basically impossible.

Easy Diffusion is, uh, easily my favorite UI.

While it has a fraction of the features found in stable-diffusion-webui, it has the best out of the box UI I've tried so far.The way it enqueues tasks and renders the generated images beats anything I've seen in the various UIs I've played with.

I also like that you can easily write plugins in Javascript, both for the UI and for server-side tweaks.

A lot of the Google search results for reddit lead to a error page or subreddit is now private, not the content Google originally indexed.

I apparently misunderstood how the wayback machine worked. I thought it only archived pages that a user requested, and most pages end up archived due to people with the browser add-on installed to archive every page they visit.

Thanks to both people that cleared up my mistake, it has always seemed they had much stronger coverage than they should for my mistaken view of how it worked.