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Generative AI is still a solution in search of a problem
(www.axios.com)
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this post was submitted on 25 Apr 2024
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Technology
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"A solution in search for a problem" is a phrase used way to much, and almost always in the wrong way. Even in the article it says that it has been solving problems for over a year, it just complains that it isn't solving the biggest problems possible yet. It is remarkable how hard it is for people to extrapolate based on the trajectory. The author of this paper would have been talking about how pointless computers are if they were alive in the early 90s, and how they are just "a solution in search for a problem".
Isn't the "trajectory" that these systems are incredibly unsustainable both economically and environmentally? I'd hope that a machine that uses a few thousand homes' worth of energy to answer a single query would be more useful than "can generate boilerplate code for me" or whatever.
I think there may be some confusion about how much energy it takes to respond to a single query or generate boilerplate code. I can run Llama 3 on my computer and it can do those things no problem. My computer would use about 6kWh if I ran it for 24 hours, a person in comparison takes about half of that. If my computer spends 4 hours answering queries and making code then it would take 1kWh, and that would be a whole lot of code and answers. The whole thing about powering a small town is a one-time process when the model is made, so to determine if that it worth it or not it needs to be distributed over everyone who ends up using the model that is produced. The math for that would be a bit trickier.
When compared to the amount of energy it would take to produce a group of people that can do question answering and code writing, I'm very certain that the ai model method is considerably less. Hopefully, we don't start making our decision about which one to produce based on energy efficiency. We may, though, if the people that choose the fate of the masses sees us like livestock, then we may end up having our numbers reduced in the name of efficiency. When cars were invented, horses didn't end up all living in paradise. There were just a whole lot less of them around.