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wcfrobert | 1 month ago
Of course software can affect the physical world: Google Maps changes traffic patterns; DoorDash teleports takeoff food right to my doorstep; the weather app alters how people dress. This list is un-ending. But these effects are always second-order. Humans are always there in the background bridging the gap between bits and atoms (underpaid delivery drivers in the case of doordash).
The more interesting question is whether AI can __directly__ impact the physical world with robotics. Gemini can wax poetic about optimizing fertilizers usage, grid spacing for best cross-pollination, the optimum temperature, timing, watering frequency of growing corn, but can it actually go to Home Depot, purchase corn seeds, ... (long sequence of tasks) ..., nurture it for months until there's corn in my backyard? Each task within the (long sequence of tasks) is "making PB&J sandwich" [1] level of difficulty. Can AI generalize?
As is, LLMs are better positioned to replace decision-makers than the workers actually getting stuff done.
[1] http://static.zerorobotics.mit.edu/docs/team-activities/Prog...
bsza|1 month ago
Yet you get credited for all that work, because a car's ability to move people isn't special compared to your ability to operate it without running people over. Similarly, your ability to buy things from a store isn't special compared to an AI's ability to design a hydroponics farm or fusion reactor or whatever out of those things. Yes, you can do things the AI can't, but on the other hand, your car can do things you can't.
All this talk about "doing things in the physical world" is just another goalpost moving, and a really dumb one at that.
northerdome|1 month ago
Propelloni|1 month ago
NedF|1 month ago
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