i asked chat gpt as to why COP30 would not succeed. Several pages ensued which are worth re-asking- Additionally, AI capabilities, as you have stated in previous materials have advanced Again, asking GPT, expectations did not identify alternatives as of higher rank as proposed in the participatory model. Much of what is proposed is now bypassing a tired model
I work with LLM-based AI in my day job and have been impressed that they managed to make a computer bad at both math and logic. Even simple if/then requests go awry frequently. Once you get outside the territory of LLMs into other applications of deep learning, like optimizing the HVAC systems in a data center, AI can be very powerful. The big challenge is building the model that you can apply deep learning to.
The fractal approach to climate governance you describe addresses someting critical that gets lost in top down models. If households and comunities can see their actions reflected in global outcomes, we might actually bridge that frustrating gap between personal agency and planetary scale change. The reputational and financial enforcement mechanisms you mention could work if the data intgrity holds up.
i asked chat gpt as to why COP30 would not succeed. Several pages ensued which are worth re-asking- Additionally, AI capabilities, as you have stated in previous materials have advanced Again, asking GPT, expectations did not identify alternatives as of higher rank as proposed in the participatory model. Much of what is proposed is now bypassing a tired model
I work with LLM-based AI in my day job and have been impressed that they managed to make a computer bad at both math and logic. Even simple if/then requests go awry frequently. Once you get outside the territory of LLMs into other applications of deep learning, like optimizing the HVAC systems in a data center, AI can be very powerful. The big challenge is building the model that you can apply deep learning to.
The fractal approach to climate governance you describe addresses someting critical that gets lost in top down models. If households and comunities can see their actions reflected in global outcomes, we might actually bridge that frustrating gap between personal agency and planetary scale change. The reputational and financial enforcement mechanisms you mention could work if the data intgrity holds up.