I mentioned this in a comment a few weeks ago, but people are oversimplifying the summarization part: https://news.ycombinator.com/item?id=37117515 https://news

I mentioned this in a comment a few weeks ago, but people are oversimplifying the summarization part: https://news.ycombinator.com/item?id=37117515 https://news.ycombinator.com/item?id=37117515 For a given use-case, long term memory has a subtly different value proposition. If I'm building a home assistant, I should be using NER to identify names and build an understanding of how they like to be spoken to in messages, or places and how they tend to be commuted to If I'm building a CS bot, I should be identifying queries that resulted in extended exchanges, or led to a sudden abandoned cart Summarization at the generic summarization level is enough for flashy demoes, but to build truly useful products right now you need to go a step further