Notices by gme 🇺🇸🇺🇦🏳️‍⚧️🏳️‍🌈 (gme@bofh.social)

@aral @fsologureng @MariaLiv @supernovae @atomicpoet #Facebook is joining the #fediverse to persuade their users to stay. Facebook users are already leaving.

I may have created some forums and some mailing lists for the federation. ;-)

Come check us out. :-)

https://federation.cafe

#fedi #federation #pleroma #akkoma #kbin #lemmy #pixelfed #peertube #bookwyrm #misskey #calckey #mastodon #mastoadmin #fediadmin #feditalk

The older I get the more creeped out I get at the fact that American schools strongly (they can’t force) kids to say a “Pledge of Allegiance” to a flag.

I mean, I willfully and dutifully said the pledge when I was in school. It was expected and if you were caught not saying “The Pledge” you got in trouble. Just how much trouble you got in depended wholesale on how the teacher was feeling that day, too!

But as I get older the more I find the entire charade to be creepy as fuck.

No Country deserves its citizen’s allegiance. It’s not like any of us had a choice where our parents fucked and where we ended up being born.

If anything, my Country should be pledging it’s allegiance to me! After all, what is a Country that’s of the people, by the people, and for the people if anything without its people!

While I am 100% convinced that Dall-E and Stable Diffusion are 100% commiting copyright infringement, I’m not so sure about ChatGPT.

I’ve been exploring several different products and services to help with my writing which has exposed me to much more of the intricacies of natural language models and from everything I’ve seen ChatGPT doesn’t work anywhere near the same as StableDiffusion or Dall-E.

They’re basically a prediction engine. They break down words and into “tokens” which are usually 4 characters long (but not always) and they predict the pattern of tokens that would follow.

Since every word is itself comprised of individual “tokens” (as in “letters”), and every sentence is comprised of individual “tokens” (as in “words”), the only thing ChatGPT is really doing is predicting the expected next sequence of “tokens” (words and sentences) to respond to a given a query.

And that’s where the training comes in. Loading those probability matrices with lots and lots of text.

So that if someone were to ask ChatGPT to finish the following sentence, “The quick brown fox…” it will respond with “…jumped over the lazy dog.” Because it’s seen lots and lots of references to that same phrase.

But as far as ChatGPT is concerned, it could just as easily be “Lorem Ipsum Dolar Sit Amet” too. It doesn’t really care. 🙂