That’s the thing with AI, the seeing of infinite possibilities has been taken away because we are distanced from the problem. AI solves a problem and gives us the solution.
Of course cars do the same thing, but we solve a completely different problem ie driving. So, very complex tools take away the need to solve certain problems altogether, the Kinetic Intelligence is completely occupied by the tool. Instead a new domain to exercise Potential Intelligence is unlocked.
We are still learning to drive with AI, the new paradigm of working and thinking has not yet been understood or unlocked.
Protocols and most tools we make are rather like kitchen tools rather than algorithms.
I was trying to think of a tool that is pure algorithm, ie it constrains what else you could use it for, and couldn’t think of any. I suppose most modern kitchen appliances, like the toaster, are pretty algorithmic, but you can always load a trebuchet with toasters.
Most of our tools embed very little information about the problem, the more information that is embedded the fewer uses it has. I don’t think we instinctually like tools that constrain us too much. We like the infinite possibilities we see in a rock.
Protocols need kitchens. A few appliances and the idea for a recipe.
Labs assume too much risk and limit the imagination.
Quote Dennett’s Darwin’s Dangerous Idea
“tool use confers intelligence on those who are lucky enough to be given the tool. The better designed the tool (the more information embedded in its fabrication), the more Potential Intelligence it confers on its user.”
The above is based on Richard Gregory’s work. Potential Intelligence is information about a problem. Gregory also defines Kinetic Intelligence as the smart move that the information enables the individual to take.
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i've been feeling bad for these guys. Straight from blackboard and fancy chalk to post automation, like they aren't even involved in the crank turning forget prompting
https://www.youtube.com/watch?v=bAnwMdfcMVw
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Hypothesis:
The AI vampire—the loss of flow state—is going to be something about our mirror neurons not getting the opportunity to model a problem sufficiently before it gets solved.
Intelligence is meh, cognition is pleasure.
Analog modeling of the world in our brains must be one of those evolutionarily selected things that feel good. Taking away that opportunity to model by interacting with problem kinda sucks.
see: https://annievella.com/posts/the-productivity-experience-paradox/
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