A new language model, PhaseGPT, leverages Kuramoto-style phase coupling within transformer attention mechanisms to improve coherence and interpretability. Inspired by biological oscillators, the open-science project aims to enhance energy efficiency as well. Researchers report a 2.4% reduction in perplexity compared to a baseline GPT-2 model. PhaseGPT’s code, reproducibility scripts, and interpretability tools are available under the MIT license, fostering further research and development in this area. The initial discussion surrounding PhaseGPT can be found on Reddit’s r/artificial forum.