You know, whatever the merits (and it sounds as if there were very few) of Google's presentation (or Pinchai's recent non-statement) might be, I would have expected the commentariat here at HN to display way more skepticism about language models as a replacement for search. If there's a crowd anywhere in the world large enough to leave 200+ comments on a post like this, you'd think thatg the one at HN would understan…
I'd like to have more discussion about the attribution problem, specifically. We now have a couple of the players saying they're working on, or having demos. But from what I can see, all of these don't _actually_ attribute the source. They're just able to find _a_ source that fits to the output, working backward from it. Often the attributed source fits, but is actually disagreeing with the original output in specifi…
I feel like it should be possible to build attribution "simply" by finding good results via traditional search (or even using LLM embeddings), then asking a LLM to summarize the sources. Then you can show the attribution. This would (to me) be much more meaningful. Especially for specific searches ("I want a red oversized couch thats got good back support"). Don't tell me about couches then find a random link, find a couch then tell me about that couch.
Is anyone doing this? IDK, maybe there is a reason that it's not happening, but it seems at least as easy as all the other crazy (and cool) things happening in this space.