Is this progress though? They are just widening the data set that the LLM processes. They haven't fixed any of the outstanding problems - hallucinations remain unsolved.

Feels like putting lipstick on a pig.

> but in daily world, they work so darn well for so many use cases!

I guess I'm just one of those people who does not like non-reliable tools. I rather a tool be "dumb" (i.e. limited) but reliable than "smart" (i.e. flexible in what it can handle) but (silently!) screws up all the time.

It's what I always liked about computers. They compensate for my failings as an error prone flesh bag. My iPhone won't forget my appointments like I do.