Understanding Objective-Driven (or Scientific) AI
Objective-driven AI operates on a simple premise: give the system a set of objectives and let it decide the best way to achieve them based on a model of the world.
The key components of this system include:
- Perception (a data-driven understanding of the operating environment)
- An Actor (proposing possible actions)
- A World Model (AI’s understanding of how the world works based on self-supervised learning)
- A Critic (evaluating potential actions against set objectives)
Objective-driven AI brings a nuanced approach to machine decision-making, echoing human-like reasoning. Through understanding, action proposal, and meticulous outcome evaluation, it bypasses the extensive training of RL and the potential pitfalls of LLMs.