It’s the sort of thing an engineering team builds when they have way too much time and no idea what to build. There is zero reason to use something like this over, say Jupyter notebooks and the advantages of notebook are obvious: actual researchers are already familiar with it, you can integrate everything into your data science workflow, visualise results etc
So, you’re telling me Twitter engineering was over staffed…
So you're telling me you think x.ai people and twitter engineering people are the same...
It's obvious Twitter was overstaffed but xAI has less than 20 employees so definitely not the case there.
do some research about how these models work and what prompts are.