[zachmu]

Regardless of whether this particular project goes anywhere, it's at least very interesting that Yegge has discovered a way to make multi-agent setups work better. Giving them discrete personas ("you are a senior database engineer with 30 years of experience") and narrower scopes makes them much more effective. This was surprising to me but makes a lot of sense in retrospect.

[ufmace]

The part that always struck me as weird about this stuff is that all of these "agents" with their "personas" are the same baseline LLMs with the same training ultimately, just told to basically pretend they're different. How far can that really get you?

I'm not actually a database engineer with 30 years of experience. If somebody demanded that I pretend to be one, I guess I'd give it a shot, but I would expect any actual employer would be able to tell that I don't have the level of knowledge and experience that you'd expect from somebody like that.

If the base LLM actually has the knowledge of all of these specialties, why can't it just apply them all at once, instead of needing to be told to I guess pretend to be only one of them.

[thinkling]

Agreed, would really like to understand what this (setting the LLM up to assume a role to improve performance) is doing under the cover and why it works.

Why aren't the labs training models to pick a mantra appropriate to the task and do this themselves? "Huh, a database question. I am going to pretend I'm a database expert with lots of experience. OK, here we go!"