AI's 'Black Box' Problem: We Still Don't Understand How It Thinks
New research shows we're far from decoding AI's inner workings — and that's a problem.
Deep Dive
Nick Cammarata’s recent post makes an important and true observation: people have been too quick to write off neurons as polysemantic, and if you look harder there is often
Key Points
- AI 'neurons' are often more complex than they first appear, firing only for very specific situations.
- To truly understand a neuron, we must be able to simulate its behavior without changing the AI's overall performance.
- This matters because without understanding, we can't ensure AI is safe, fair, and reliable.
Why It Matters
Without understanding AI, we can't trust it for critical decisions — or fix it when it fails.