[542458]

I think this is very pessimistic. Yes, big models are "smarter" and have more inherent knowledge but I'd bet you a coffee that what 99% of people want to do with Siri isn't "Write me an essay on the history of textiles" or "Vibe code me a SPA", rather it's "Send Mom the pictures I took of the kids yesterday" and "Hey, play that Deadmau5 album that came out a couple years back" which is more about tool calls than having wikipedia-level knowledge built in to the model.

[bitpush]

> Hey, play that Deadmau5 album that came out a couple years back

It could work for Deadmau5 because it is probably popular enough to be part of the model. How about "Hey, play that $regional_artist's cover of Deadmau5" and the model needs to know about "regional_artist", the concept of "cover", where those remixes might be (youtube? soundcloud? some other place).

All of a sudden, it all breaks down. So it'll work for "turn off porch lights", but not for "turn off the lights that's in the front of the house"

[satvikpendem]

As long as it can run tool calls it won't "break down," not sure why you think the LLM would be searching within its own training data rather than calling the Spotify API or MCP to access that specific artist and search through for the song id of the cover.

[nickburns]

*deadmau5