AI‑Decoding Whale Language

Project CETI and related teams are combining deep bioacoustic field recordings, robotic telemetry, and unsupervised/contrastive learning to infer structured units (possible phonemes/phonotactics) in sperm‑whale codas and test candidate translational mappings. Success would move whale communication from descriptive catalogues to hypothesized syntax/semantics that can be experimentally probed. — If AI can generate testable translations of nonhuman language, it will reshape debates about animal intelligence, moral standing, conservation priorities, and how we deploy AI in living ecosystems.