NeuralGCM is a climate model developed by the Google research team that integrates machine learning techniques to enhance simulation accuracy and efficiency compared to traditional physics-based models. NeuralGCM can generate weather forecasts for 2 to 15 days, surpassing the accuracy of current gold-standard physical models, and reproducing temperature data from the last 40 years more accurately than conventional atmospheric models. While NeuralGCM has not yet been fully developed into a complete climate model, it represents a significant step towards creating more robust and user-friendly climate models.