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Scott explains current mechanistic interpretability techniques for understanding AI cognition, from linear probes to emotion vectors, showing they're useful for monitoring but insufficient for controlling AI behavior or ensuring safety.
Scott argues that dismissing AI as 'just a next-token predictor' is like dismissing humans as 'just reproduction machines' - both confuse the optimization process that shaped an entity with how that entity actually thinks.
Scott reviews a paper by leading researchers attempting to determine AI consciousness through computational theories, critiques their conflation of access and phenomenal consciousness, and predicts society will inconsistently ascribe consciousness to AIs based on their social roles rather than their underlying architecture.
Read Scott like a free app: tap then Add to Home Screen. Read Scott like a free app: tap then Add app to Home screen. Add Read Scott Alexander to your home screen to read it like an app.