The other thing I'm seeing is the potential of monetizing this last mile expertise. Whether it's called "taste" or "curation", the need for local knowledge might provide a meaningful economic counterbalance to the natural hyper-centralization of big frontier model providers.
How local can you get before you lose the ability to coordinate successfully? I was at the Chicago Symphony tonight. There is very little latency in the venue. Not to mention there is hardly any amplification. The microphones are capturing acoustic regions on the stage. We know all of the AI applications in acoustic methods and techniques.
You've captured a lot of the spirit of Elinor Ostrom's work on commons governance, perhaps unintentionally. Principle 8 of her list of principles for successful commons governance: "Build responsibility for governing the common resource in nested tiers from the lowest level up to the entire interconnected system." She was talking about water systems and pastures (depletable resources) rather than about data (non-depletable, usually) (caveat one), and how to "nest" local governance systems inside larger systems isn't obvious or straightforward when we're talking about knowledge commons, which we are, in many ways (caveat two). In other words: an Ostromian instinct is a useful starting point, perhaps as a complement to yours. But the devil is in the details.
The other thing I'm seeing is the potential of monetizing this last mile expertise. Whether it's called "taste" or "curation", the need for local knowledge might provide a meaningful economic counterbalance to the natural hyper-centralization of big frontier model providers.
Yes I have been wondering how this space will be entered, by whom and for what.
How local can you get before you lose the ability to coordinate successfully? I was at the Chicago Symphony tonight. There is very little latency in the venue. Not to mention there is hardly any amplification. The microphones are capturing acoustic regions on the stage. We know all of the AI applications in acoustic methods and techniques.
You've captured a lot of the spirit of Elinor Ostrom's work on commons governance, perhaps unintentionally. Principle 8 of her list of principles for successful commons governance: "Build responsibility for governing the common resource in nested tiers from the lowest level up to the entire interconnected system." She was talking about water systems and pastures (depletable resources) rather than about data (non-depletable, usually) (caveat one), and how to "nest" local governance systems inside larger systems isn't obvious or straightforward when we're talking about knowledge commons, which we are, in many ways (caveat two). In other words: an Ostromian instinct is a useful starting point, perhaps as a complement to yours. But the devil is in the details.
I love this! Another post on religion and AI intersectionality. I am intrigued that this is becoming a increasingly common topic of discussion.