Summary:
- Large language models (LLMs) like GPT-3 are powerful AI systems that can generate human-like text, but they often struggle to understand the real-world context behind the information they're given.
- Researchers at MIT are working on ways to improve LLMs' ability to reason about the physical world, by training them on datasets that include information about objects, their properties, and how they interact.
- This could help LLMs become better at tasks like answering questions, solving problems, and making decisions that require a deeper understanding of the real world.