Anti‑anthropocentric AI design

Instead of modeling AI purely on human priorities and data, design systems inspired by non‑human intelligences (e.g., moss or ecosystem dynamics) that optimize for coexistence and resilience rather than dominance and extraction. This means rethinking training data, benchmarks, and objective functions to include multispecies welfare and ecological constraints. — It reframes AI ethics and alignment from human‑only goals to broader ecological aims, influencing how labs, regulators, and funders set objectives and evaluate harm.