Doesn't seem like like it rewrites content, also seems to often use a sentence as the first one that refers to a previously introduced concept in the article that has no context in the summary.

This doesn't really surprise me as in the time he has been working in ai/ml/nlp I don't think there would have been much time to do more than learn up to and implement some of the current state of the art. The named entity recognition for the keywords seems okay.

I did a bit of reading on summarization during my thesis, enough to know it is a big and difficult problem. I hope he keeps at it, seems like a good start but a long way to go.

I think 30% more is pretty significant. Especially if applied to email, long articles etc.

However, still not sure if it ensures that i wouldn't miss out on anything important which may be fatal if it was an important email.

PLUS it doesnt say if it picks up on emotional context which is super important in interpersonal communications?