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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