A developer has created mini-AGI, a dynamically growing 530M-parameter model trained from scratch on an 8GB VRAM laptop using continual learning from a batch-1 data stream. The project demonstrates scaling laws and includes sample outputs from the training process, showcasing its potential as a lightweight AGI prototype. The author emphasizes practical AGI features and provides technical details in the project's README.