Google DeepMind Is Using Gemini to Train Agents Inside Goat Simulator 3

Why It Matters

SIMA 2 shows that large‑language models can endow embodied agents with instruction‑following and self‑learning capabilities across diverse virtual settings, a prerequisite for more adaptable, general‑purpose robotics. Its progress signals a shift from narrow game‑specific AI toward versatile agents that could accelerate development of real‑world autonomous systems.