You can add location information to your Tweets, such as your city or precise location, from the web and via third-party applications. You always have the option to delete your Tweet location history. Learn more
TLDR; hooman brains are no different than bubble solution or those clicky heat pack things
just saw github copilot described as fancy markov chain autocomplete which works for general usage as well
thinking about this more there may be a weakness in this model b/c language isn’t a static state independent of the reader it makes technical sense as an internal model just like u can consider the input/output a long alphanumeric string
but the actually useful understanding is a much smaller space. blank spaces demarcate words so a string of words is better. words express ideas so input/output as an “idea” is even better
gpt-3 after all is trained on “ideas of the internet” but this makes gpt-3 feel too much like a search engine. you put in an input to specify some kind of unique state, and then it gives you adjacent states like a librarian fetching a book
in practice, what is expressed is not a specific idea with an adjacency of other ideas but a STRUCTURE or a function that can take in new parameters and pump out entirely new results
the similar structure in regular language is the analogy or metaphor. once you hear a good analogy, it's like you have a whole new tool to think with just like having a whole new function in codehttps://twitter.com/a_yawning_cat/status/1390158309202677763?s=20 …
that is... once you create a "woo portal" gpt-3 can act as a stabilizer that keeps the portal open that would allow my army of demo... er... angels of lights and goodness to step throughhttps://twitter.com/a_yawning_cat/status/1341959274964996096?s=20 …
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.
