> "compatible" instead of "comparable."
It boggles my mind how you can train a frontier model but not write a tweet without an obvious typo.
at the risk of upsetting a lot of people mentioning this but like are you really surprised?
if youre going to use ai for everything youre gonna start losing your edge as you focus less and less on what youre doing and this isnt me just talking out my ass, like... the front page here is peppered with study after study and blogpost after blogpost about how its overuse can come to the detriment of one's own abilities and skills.
coca cola had the ad with the magical truck that changed its design, shape and amount of tires it had and if nobody noticed that before releasing it then im not sure why anyone might think that the people peddling the LLMs would somehow be immune to this phenomenon
The people training the model are almost certainly not the same ones writing tweets. I don't know why that is mind boggling. We all make typos, at least the humans among us do.
Now you can be sure they write their announcements by hand. Doesn't really matter, does it?
It's OK because I'm not prompting the person who tweeted for my usecases.
mistakes are at the moment a signature quality of human written texts, enjoy them
i'll take that 100% over llm slop.
Accurate reflection of Alibaba's cloud platform as a whole. I've never seen more misused terminology and strange word choices than when testing out their cloud dashboard.
This is egregious for a model announcement though, I agree with you 100%.