Hinton contemplates the future of AI hardware, envisioning the potential of analog computation to achieve brain-like efficiency. Analog computation involves using physical quantities, such as voltages or currents, to represent and process information, similar to how the brain operates. Analog systems can potentially achieve lower power consumption and higher density compared to digital systems. However, Hinton acknowledges the advantages of digital systems, particularly their ability to share weights across different computers, making them “immortal” in a sense. Digital systems allow for precise storage and transfer of model parameters, enabling reproducibility and scalability.