Sakana AI’s groundbreaking Transformer-squared model introduces real-time self-learning, allowing AI to adapt instantly to new tasks without retraining or extra data. Using singular value decomposition (SVD) and dynamic z-vectors, this revolutionary approach fine-tunes the model’s skills on the fly, outperforming traditional fine-tuning methods. This innovation marks a major leap in AI efficiency, flexibility, and practicality