Separating signal from noise in coding evaluations
1–10 of 108 posts
Re: Separating signal from noise in coding evaluations
#2Re: Separating signal from noise in coding evaluations
#3Re: Separating signal from noise in coding evaluations
#4In my own testing, no frontier model knows how to replicate an original 1990s Super Soaker prototype design, which for the most part, should be almost completely possible with Home Depot parts.
They just don't understand PVC parts, triggers, etc.
Re: Separating signal from noise in coding evaluations
#5Seems like depending on your field these days, the hot thing to do is build your own private benchmarks. In my own testing, no frontier model knows how to replicate an original 1990s Super Soaker prototype design, which for the most part, should be almost completely possible with Home Depot parts. They just don't understand PVC parts, triggers, etc.
Seems the smart thing to do is not assume an agent will do the right thing. But to create the scaffold / harness that enforces constraints to steer them towards a good result.
Then you can swap out the really smart model for maybe something cheaper.
Re: Separating signal from noise in coding evaluations
#6Seems like depending on your field these days, the hot thing to do is build your own private benchmarks. In my own testing, no frontier model knows how to replicate an original 1990s Super Soaker prototype design, which for the most part, should be almost completely possible with Home Depot parts. They just don't understand PVC parts, triggers, etc.
Re: Separating signal from noise in coding evaluations
#7Re: Separating signal from noise in coding evaluations
#8Seems like depending on your field these days, the hot thing to do is build your own private benchmarks. In my own testing, no frontier model knows how to replicate an original 1990s Super Soaker prototype design, which for the most part, should be almost completely possible with Home Depot parts. They just don't understand PVC parts, triggers, etc.
Or you’re getting steered into la la land because of your prompt
Of course, there's also no super soaker engineer jobs to take, so I'm sure training sophisticated models to do well in that area is not a high priority for any firms.