Google DeepMind has developed a new AI agent named SIMA, which can play various games, including those it has never encountered before, such as Goat Simulator 3. The agent can follow text commands to play seven different games and navigate in 3D environments, showing potential for more generalized AI and skill transfer across multiple environments.
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AI Agent from Google DeepMind: A Step towards Generalized AI
A new AI agent from Google DeepMind is making waves by being able to play different games, including ones it has never seen before. This is a significant step towards more generalized AI that can transfer skills across multiple environments.
Practical Solutions and Value:
By training AI systems in games, we can proxy real-world tasks, allowing for more robust learning and skill transfer.
The AI agent, SIMA (Scalable, Instructable, Multiworld Agent), has been trained on numerous examples of human gameplay, allowing it to follow 600 basic instructions and play in a variety of different games.
The team found that an agent trained on many games performed better than one trained on just a single game, demonstrating the value of shared concepts between games for skill acquisition and execution.
While there is still room for improvement, the team is working on enhancing SIMA’s performance by scaling up its capabilities, allowing it to work in more environments and learn new skills.
Practical Advice for Middle Managers:
- Identify Automation Opportunities: Locate key customer interaction points that can benefit from AI.
- Define KPIs: Ensure your AI endeavors have measurable impacts on business outcomes.
- Select an AI Solution: Choose tools that align with your needs and provide customization.
- Implement Gradually: Start with a pilot, gather data, and expand AI usage judiciously.
For AI KPI management advice, connect with us at hello@itinai.com. For continuous insights into leveraging AI, stay tuned on our Telegram or Twitter.
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