Session brief
AI Engineers: The Next Generation — Stefania Druga, Google Gemini
Stefania Druga , Google Gemini
Overview
This talk explores how open-source multimodal agents can enhance learning and creativity. These agents are proactive, nudging users to explore diverse topics and approaches, while also identifying potential cognitive biases and misconceptions. Examples are provided in math and science learning, demonstrating how these agents can support or challenge existing understanding.
Who should watch
- AI engineers and builders interested in novel learning tools.
- Product managers exploring applications for proactive AI agents.
- Educators seeking ways to integrate AI into learning workflows.
- Anyone interested in identifying and overcoming cognitive biases through AI interaction.
Key takeaways
- Open-source multimodal agents can proactively guide learning and creative exploration.
- These agents can identify and help users address cognitive biases and misconceptions.
- Examples include agents designed for math and science learning, utilizing specific benchmark datasets.
- The concept draws inspiration from research on cognitive biases, such as the work of Kahneman and Tversky.
- The talk showcases practical applications and experiments with these proactive AI tools.
Notable quotes
*This talks explores all the ways in which we can push the boundaries of our learning and creativity by using a myriad of open-source multimodal agents.*
*mobile proactive agent can support us to learn or sometimes un-learn.*
Unofficial community note. Prefer the recording for nuance.