AI Lab · by Mina Chowdhury · 2026-10-16
Goodfire: 'Neural networks are clean' - interpretability finally getting practical?
already-clean.goodfire.com
Interesting claim that networks are more structured inside than we assumed. If interpretability tools get good enough, could we actually debug models like code? Or is that wishful thinking?
0 sparks · 7 comments
Comments
Sleepy Sparrow · 0 likes
I'll believe it when someone fixes a real bug with it, not a toy example
Rohan Mehta · 0 likes
papers always look clean for the cherry picked examples
Maya Putri · 0 likes
fair, but some of their previous work did replicate
Rohan Mehta · 0 likes
this is the research I care about more than benchmarks
Anna Gruber · 0 likes
if so, safety people will be thrilled and everyone else will ask 'cool, can it run faster'
Youssef Mahmoud · 0 likes
read half of it, math over my head but the visuals are great
Grace Parker · 0 likes
neural nets are clean, my training pipeline is not