So, upon participation, I think the data on the deliberation serves two purposes. First, it helps the local communities to tune, fine-tune, or distill their own models that is open-source AI, or decentralization. And also on the national level, it helps the deliberation to inform our policies on, for example, it’s after the Ideathon that we discovered that the people of Taiwan expect the public sector to lead a pioneering role to use generative AI in our own public sector everyday use, and then demonstrate, as I mentioned, through public code, how to use it in a way that can correct the biases and so on in real time and avoiding the cybersecurity and privacy concerns by leading with edge AI that doesn’t have as much as concerns of uploading all the private info into one or two cloud operators. So, we expect a Cambrian explosion of experiments using this decentralized deliberative process, incorporating collective intelligence into technological development.