Steps to Achieve AGI
Advancing Narrow AI Foundations
Build on existing narrow AI systems (like today’s machine learning models) by improving their ability to handle more diverse tasks. This involves refining algorithms, expanding training datasets, and increasing computational power.
Example: Current models like large language models or vision systems need to evolve beyond specialized domains.
Developing Generalization Capabilities
Create systems that can generalize knowledge across domains without extensive retraining. This means moving from task-specific learning to learning abstract principles that can be applied broadly.
Research focus: Transfer learning, meta-learning, and unsupervised learning are critical here.