“We were looking at it wrong”: The explosive claim that’s upended the AI world

A viral claim that neural networks are more interpretable than thought is dividing AI researchers between cautious hope and sharp skepticism.

• Cammarata's claim: Goodfire researcher Nick Cammarata's 26,000-word blog post argues LLMs may be far easier to understand than assumed, igniting viral AI-world debate.
• The V-shape discovery: Re-examining Google's 2014 Inception v1 model, Cammarata found a neuron activating on both cats and cars actually detects a shared 'V shape' pattern, not random superposition.

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