A Potentially Historic AI Breakthrough

A viral essay claims AI neural networks are far more interpretable than believed, reigniting hopes for solving alignment via mechanistic transparency.

• Cammarata's claim: Former OpenAI researcher Nick Cammarata's essay 'Neural Networks Are Already Clean' argues neurons once thought hopelessly 'crammed' are actually ~90% legible in a modern OpenAI model, vs. just 2% found explainable in a 2023 GPT-2 project.
• The cat-car detector resolved: The field's canonical proof of scrambled 'superposition'—a neuron firing for both cat faces and car fronts—was reinterpreted as a single coherent 'V-shape/pointed-shape' detector.

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