About Me
Hello, I'm Sonny George. I've just finishing my Master's at Brandeis University and am seeking research and other opportunities in the space of action-taking AI or software development generally.
Much of future impactful AI will require some form of active embodiment, reflection, and continual learning. In contrast, the “intelligence” of today's AI systems tends to be static and task-specific.
I am especially excited by the development of AI systems that:
- Plan and act in uncertain environments
- Adapt to novel tasks/situations with inference-time-feasible efficiency and without catastrophic forgetting
- Are sufficiently interpretable and manipulable to be aligned with human preferences
Publications
Benchmarking Arbitrary Natural Language Tasks in 3D Open Worlds
Sonny George, Chris Sypherd, Rocco Ahching, and Dylan Cashman
Proceedings of the 6th Annual Embodied Artificial Intelligence Workshop at CVPR 2025 (Oral Spotlight)
Probing the Capacity of Language Model Agents to Operationalize Disparate Experiential Context Despite Distraction
Sonny George, Chris Sypherd, and Dylan Cashman
Findings of the 2024 Conference on Empirical Methods in Natural Language Processing
Incorporating Token Usage into Prompting Strategy Evaluation
Chris Sypherd, Sergei Petrov, Sonny George, and Vaishak Belle
ArXiv Preprint, May 2025
Presentations
sr-OLTHAD+SemanticSteve: Toward Any-Horizon Open-Ended Autonomy (Master's Capstone Presentation)
May 2025
Blog Posts
January 10, 2025: What is the proper level of I/O abstraction in world models (that generate simulated rollouts)?
A Few (humble) Hardware Projects
BC+PPO Learning for Simple Object Picking

Routine Butler

Vision-Based Line-Following Robot With Lidar Obstacle Avoidance
