the idea is to use AI to build super productive farms and greenhouses, improve the capability to do that in urban areas, automated and super efficient transportation.
but it's not just AI doing all that, it's someone who wants to start a business using AI himself to figure out how to best start up a greenhouse in his community and setup the tech infra needed including the API for people to be able to view available produce, estimates on availability, initiate trades, etc. (this greenhouse thing is just one example).
another example could be someone wants to build an ecosystem monitoring station to monitor the nearby ravine (pollution levels with rainfall and other events etc.) and air quality over time. this is just a small datapoint but if people all over the place build their own ecosystem/weather monitoring things using basic electronics ordered from the internet and all plug them in to a standard observability software system then that could provide some pretty awesome outcomes including figuring the best way to clean polluted water (because some of the places will surely have implemented varying methods of sanitizing their own water).
Okay this is even more pie-in-the-sky. You can build productive greenhouses today, we don’t need AI to summarize the internet to figure out how to do it. There are no secrets hidden in the generative token tea-leaves that reveals better greenhouses. Urban farming will never be profitable or sustainable in a dense urban center. It’s been done.
“Standard observability software” whatever that is also does not require AI to build. We need 10GW to calculate rainfall for who? What benefit over how we currently calculate rainfall? This rainfall is hallucinated through summarization?
> the idea is to use AI to build super productive farms and greenhouses
How? What are the mechanisms in which AI will lead to farms and greenhouses being more productive? How will AI improve the existing automation that already exists for the farming sector, and has existed for a hundred years?
fully automated with robots. the AI designs thousands of experiments and deploys them at scale. idk, i'm not an agriculture expert. it was just one example. what other possibilities are there?
electronics recycling, disassembling old computers to get the raw materials into a form that can be used again. we'll need programs to automate the production and testing and analysis of the robots that will recycle the components.
That much is obvious. The fact that you’re straining so hard to come up with these bongcloud “ideas” should clue you in that maybe this isn’t the revolutionary tech that the suits are selling it as
another example could be someone wants to build an ecosystem monitoring station to monitor the nearby ravine (pollution levels with rainfall and other events etc.) and air quality over time. this is just a small datapoint but if people all over the place build their own ecosystem/weather monitoring things using basic electronics ordered from the internet and all plug them in to a standard observability software system then that could provide some pretty awesome outcomes including figuring the best way to clean polluted water (because some of the places will surely have implemented varying methods of sanitizing their own water).