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Explore how multimodal AI agents can revolutionize learning and creativity in this 22-minute conference talk from the AI Engineer Summit 2025. Discover the potential of open-source proactive agents that actively nudge learners to explore diverse topics, dimensions, and approaches while identifying cognitive biases and misconceptions. Learn through practical examples of mobile agents designed for mathematics education using math misconceptions benchmarks, science learning with Mozart misconceptions benchmarks, and reasoning puzzles where proactive agents support both learning and unlearning processes inspired by the experimental work of Daniel Kahneman and Amos Tversky. Gain insights into real-world applications of multimodal language models from a Google Gemini research scientist who demonstrates how AI can push the boundaries of educational workflows and creative thinking through intelligent, adaptive learning companions.
