Simulating everything, sort of: The promise and limits of world models
10 hours ago
- #large language models
- #world models
- #artificial intelligence
- Large language models (LLMs) are no longer the sole focus of high expectations and investment in AI; world models are emerging as a significant new category.
- World models aim to enable AI systems to simulate the physical world or approximations of it, differing from LLMs that primarily handle language.
- Unlike LLMs that started with a chat interface and later sought use cases, world models are currently being developed with specific applications in robotics, research, and asset generation, though their final interfaces remain unclear.
- World models share architectural and improvement parallels with LLMs, but they are seen by some as addressing LLM limitations, such as the unrealistic expectation of achieving human-level intelligence through LLMs alone.