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Comment by TeMPOraL

So you're saying, embeddings are fine, as long as we refrain from making full use of their capabilities? We've hit on a mathematical construct that seems to be able to capture understanding, and you're saying that the biggest models are too big, we need to scale down, only use embeddings for surface-level basic similarities?

I too think embeddings are vastly underutilized, and chat interface is not the be-all, end-all (not to mention, "chat with your program/PDF/documentation" just sounds plain stupid). However, whether current AI tools are replacing or amplifying your intelligence, is entirely down to how you use them.

As for search, yes, that was a huge breakthrough and powerful amplifier. 2+ decades ago. At this point it's computer use 101 - which makes it sad when dealing with programs or websites that are opaque to search, and "ubiquitous local search" is still not here. Embeddings can and hopefully will give us better fuzzy/semantic searching, but if you push this far enough, you'll have to stop and ask - if the search tool is now capable to understand some aspects of my data, why not surface this understanding as a different view into data, instead of just invoking it in the background when user makes a search query?

parent TeMPOraL 2 years ago

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