Years ago in a mobile-only email sig, I wrote "apologies for any tpyos" and decided wth and left it in for the poetry you mention. (Only a tiny number of people mentioned it to me.)
Byoming is where all the bi men live. They call themselves “By” as a portmanteau between “bi” and the fact they have a y chromosome. Everyone knows this.
Not totally unsurprising though. This might sound weird, but LLM's don't really know what a "letter" is. They process text as essentially whole words, or at least phonics sized word chunks.
They pick up some spelling through training, but it's still sort of an alien concept to the architecture.
This is what people don’t understand. Adding references doesn’t matter cause the program is stringing word tokens that it associates together, that’s it. There is no cognition. It’s just suggested text on steroids.
Exactly.
It's also why "art' programs can't seem to manage text. They average pixels in areas they know contain "writing", resulting in things that are almost, but not quite, letters.
Text gen has actually improved significantly in the recent gen of models. The trick was to build a new captioner model to make sure that any text in the training set images was included in the training caption.
DALLE-3 (Bing image gen) now handles letters decently, even if its words can be nonsense
There's an entire wolfram alpha plugin. If the issue is getting it to reliably forward a correctly formulated query and not misrepresenting the response, then yeah the Wolfram folks noticed that too 🤷
It's also not good at word lengths. The LLMs don't understand numbers. I kept trying to generate text for young students with only three letter words, and the results were terrible.
