Linkpost: Neural Networks Are Already Clean
Presents groundbreaking research on neural network interpretability with major implications for AI alignment and safety.
AI Summary
Nick Cammarata argues neural networks are already clean and interpretable, challenging previous pessimism about .
Excerpt
This is an extremely lengthy post by Nick Cammarata. Author's summary on twitter: interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came away pessimistic, because neural networks appeared to fold into arbitrary tangled knots. years later, I started openai's first large-scale au
