← Back to context Comment by what 2 hours ago Why are you asking an LLM what could have been better or was confusing? It literally has no idea. 4 comments what Reply rsfern 1 hour ago True. But it has no idea that it has no idea, so it might be able to look back at the session trace and pattern match its way to actionable feedback? simonw 34 minutes ago If they try something and it doesn't work and they then try something else and it DOES work that's concrete feedback. what 13 minutes ago Are you saying the machine can tell you what confused them? datadrivenangel 1 hour ago they're surprising good at this. The next tokens after a confusing string of tokens when asked to explain the confusing parts are pretty accurate!
rsfern 1 hour ago True. But it has no idea that it has no idea, so it might be able to look back at the session trace and pattern match its way to actionable feedback?
simonw 34 minutes ago If they try something and it doesn't work and they then try something else and it DOES work that's concrete feedback. what 13 minutes ago Are you saying the machine can tell you what confused them?
datadrivenangel 1 hour ago they're surprising good at this. The next tokens after a confusing string of tokens when asked to explain the confusing parts are pretty accurate!
True. But it has no idea that it has no idea, so it might be able to look back at the session trace and pattern match its way to actionable feedback?
If they try something and it doesn't work and they then try something else and it DOES work that's concrete feedback.
Are you saying the machine can tell you what confused them?
they're surprising good at this. The next tokens after a confusing string of tokens when asked to explain the confusing parts are pretty accurate!