Business, Spoken
Google DeepMind’s Latest AI Agent Learned to Play Goat Simulator 3
Mar 14, 2024
Google DeepMind's latest AI agent, SEMA, can learn to play new video games by analyzing how humans play different games. The agent has collaborated with game studios to collect data and improve its skills. DeepMind is exploring the potential for these AI agents to be used in practical tasks, while also focusing on improving their reliability.
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Quick takeaways
- SEMA can adapt to new games by leveraging shared concepts across different video games, showcasing remarkable skills and efficiency.
- Collaboration with game studios and human evaluation feedback are crucial in training SEMA for diverse gaming environments, hinting at its future integration potential.
Deep dives
Advances in AI: SEMA's Learning Capabilities across Games
SEMA, an AI program developed by Google DeepMind, has showcased the ability to learn and adapt to complete tasks in various video games, including Goat Simulator 3. By leveraging shared concepts across games, SEMA demonstrates remarkable skills and efficiency. This project represents a significant advancement in AI, hinting at future capabilities beyond chatting and generating images, potentially enabling complex computer commands.
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