Sima 2: AI learns skills in artificial worlds for real world problems

We’re introducing SIMA 2, the next major milestone in general and helpful embodied AI agents. 👾 With Gemini integrated at its core, it moves beyond following basic instructions to think, learn, and collaborate in complex, 3D worlds. 🔵 Advanced reasoning: It can accomplish high-level goals in a wide array of games – describing its intentions, explaining what it sees, and outlining the steps its taking. 🔵 Improved generalization: It can transfer concepts like “mining” in one game and apply it to “harvesting” in another - connecting the dots between similar tasks. 🔵 Self-improvement: Through trial-and-error and Gemini-based feedback, it can teach itself entirely new skills in unseen worlds without additional human input. 🔵 Adaptability: When tested in simulated 3D worlds created with our Genie 3 world model, it demonstrates unprecedented adaptability by navigating its surroundings, following instructions, and taking meaningful steps towards goals.  This research offers a strong path toward applications in robotics and another step towards AGI in the physical world. Learn more → https://goo.gle/SIMA-2

We’re introducing SIMA 2, the next major milestone in general and helpful embodied AI agents. 👾 With Gemini integrated at its core, it moves beyond following basic instructions to think, learn, and collaborate in complex, 3D worlds. 🔵 Advanced reasoning: It can accomplish high-level goals in a wide array of games – describing its intentions, explaining what it sees, and outlining the steps its taking. 🔵 Improved generalization: It can transfer concepts like “mining” in one game and apply it to “harvesting” in another - connecting the dots between similar tasks. 🔵 Self-improvement: Through trial-and-error and Gemini-based feedback, it can teach itself entirely new skills in unseen worlds without additional human input. 🔵 Adaptability: When tested in simulated 3D worlds created with our Genie 3 world model, it demonstrates unprecedented adaptability by navigating its surroundings, following instructions, and taking meaningful steps towards goals.  This research offers a strong path toward applications in robotics and another step towards AGI in the physical world. Learn more → https://goo.gle/SIMA-2

We’re introducing SIMA 2, the next major milestone in general and helpful embodied AI agents. 👾 With Gemini integrated at its core, it moves beyond following basic instructions to think, learn, and collaborate in complex, 3D worlds. 🔵 Advanced reasoning: It can accomplish high-level goals in a wide array of games – describing its intentions, explaining what it sees, and outlining the steps its taking. 🔵 Improved generalization: It can transfer concepts like “mining” in one game and apply it to “harvesting” in another - connecting the dots between similar tasks. 🔵 Self-improvement: Through trial-and-error and Gemini-based feedback, it can teach itself entirely new skills in unseen worlds without additional human input. 🔵 Adaptability: When tested in simulated 3D worlds created with our Genie 3 world model, it demonstrates unprecedented adaptability by navigating its surroundings, following instructions, and taking meaningful steps towards goals.  This research offers a strong path toward applications in robotics and another step towards AGI in the physical world. Learn more → https://goo.gle/SIMA-2

We’re introducing SIMA 2, the next major milestone in general and helpful embodied AI agents. 👾 With Gemini integrated at its core, it moves beyond following basic instructions to think, learn, and collaborate in complex, 3D worlds. 🔵 Advanced reasoning: It can accomplish high-level goals in a wide array of games – describing its intentions, explaining what it sees, and outlining the steps its taking. 🔵 Improved generalization: It can transfer concepts like “mining” in one game and apply it to “harvesting” in another - connecting the dots between similar tasks. 🔵 Self-improvement: Through trial-and-error and Gemini-based feedback, it can teach itself entirely new skills in unseen worlds without additional human input. 🔵 Adaptability: When tested in simulated 3D worlds created with our Genie 3 world model, it demonstrates unprecedented adaptability by navigating its surroundings, following instructions, and taking meaningful steps towards goals.  This research offers a strong path toward applications in robotics and another step towards AGI in the physical world. Learn more → https://goo.gle/SIMA-2

We’re introducing SIMA 2, the next major milestone in general and helpful embodied AI agents. 👾 With Gemini integrated at its core, it moves beyond following basic instructions to think, learn, and collaborate in complex, 3D worlds. 🔵 Advanced reasoning: It can accomplish high-level goals in a wide array of games – describing its intentions, explaining what it sees, and outlining the steps its taking. 🔵 Improved generalization: It can transfer concepts like “mining” in one game and apply it to “harvesting” in another - connecting the dots between similar tasks. 🔵 Self-improvement: Through trial-and-error and Gemini-based feedback, it can teach itself entirely new skills in unseen worlds without additional human input. 🔵 Adaptability: When tested in simulated 3D worlds created with our Genie 3 world model, it demonstrates unprecedented adaptability by navigating its surroundings, following instructions, and taking meaningful steps towards goals.  This research offers a strong path toward applications in robotics and another step towards AGI in the physical world. Learn more → https://goo.gle/SIMA-2

We’re introducing SIMA 2, the next major milestone in general and helpful embodied AI agents. 👾 With Gemini integrated at its core, it moves beyond following basic instructions to think, learn, and collaborate in complex, 3D worlds. 🔵 Advanced reasoning: It can accomplish high-level goals in a wide array of games – describing its intentions, explaining what it sees, and outlining the steps its taking. 🔵 Improved generalization: It can transfer concepts like “mining” in one game and apply it to “harvesting” in another - connecting the dots between similar tasks. 🔵 Self-improvement: Through trial-and-error and Gemini-based feedback, it can teach itself entirely new skills in unseen worlds without additional human input. 🔵 Adaptability: When tested in simulated 3D worlds created with our Genie 3 world model, it demonstrates unprecedented adaptability by navigating its surroundings, following instructions, and taking meaningful steps towards goals.  This research offers a strong path toward applications in robotics and another step towards AGI in the physical world. Learn more → https://goo.gle/SIMA-2

We’re introducing SIMA 2, the next major milestone in general and helpful embodied AI agents. 👾 With Gemini integrated at its core, it moves beyond following basic instructions to think, learn, and collaborate in complex, 3D worlds. 🔵 Advanced reasoning: It can accomplish high-level goals in a wide array of games – describing its intentions, explaining what it sees, and outlining the steps its taking. 🔵 Improved generalization: It can transfer concepts like “mining” in one game and apply it to “harvesting” in another - connecting the dots between similar tasks. 🔵 Self-improvement: Through trial-and-error and Gemini-based feedback, it can teach itself entirely new skills in unseen worlds without additional human input. 🔵 Adaptability: When tested in simulated 3D worlds created with our Genie 3 world model, it demonstrates unprecedented adaptability by navigating its surroundings, following instructions, and taking meaningful steps towards goals.  This research offers a strong path toward applications in robotics and another step towards AGI in the physical world. Learn more → https://goo.gle/SIMA-2

We’re introducing SIMA 2, the next major milestone in general and helpful embodied AI agents. 👾 With Gemini integrated at its core, it moves beyond following basic instructions to think, learn, and collaborate in complex, 3D worlds. 🔵 Advanced reasoning: It can accomplish high-level goals in a wide array of games – describing its intentions, explaining what it sees, and outlining the steps its taking. 🔵 Improved generalization: It can transfer concepts like “mining” in one game and apply it to “harvesting” in another - connecting the dots between similar tasks. 🔵 Self-improvement: Through trial-and-error and Gemini-based feedback, it can teach itself entirely new skills in unseen worlds without additional human input. 🔵 Adaptability: When tested in simulated 3D worlds created with our Genie 3 world model, it demonstrates unprecedented adaptability by navigating its surroundings, following instructions, and taking meaningful steps towards goals.  This research offers a strong path toward applications in robotics and another step towards AGI in the physical world. Learn more → https://goo.gle/SIMA-2