embodiment

Project CETI used LLM architectures to decode sperm whale clicks, revealing a phonetic alphabet but also highlighting that AI's statistical pattern-matching lacks true comprehension. The article argues that AGI requires embodied, multimodal grounding rather than just scaling text-based models.