[albert_e]

I think this is an important enough quality that betrays that there are no two minds here creating 1+1=3.

One cheap trick to overcome this uncanny valley may be to actually use two separate LLMs or two separate contexts / channels to generate the conversations and take "turns" to generate the followup responses and even interruptions if warranted.

Might mimic a human conversation more closely.

[thomashop]

Funnily, even two different LLMs, when put in conversation with each other, can end up completing each other's sentence. I guess it has something to do with the sequence prediction training objective.

[newsbinator]

And this regularly happens with humans too