this post was submitted on 16 Jun 2024
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Usefulness is one thing, but it costs an astronomical amount of energy.
These companies are trying to make taxpayers pay for their infrastructure by pretending it's to benefit everyone. It won't benefit everyone that's for sure.
It's possible for local AI models to be very economical on energy, if used for the right tasks.
For example I'm running RapidOCR which uses a modern transformer architecture, and absolutely blows away traditional OCR at capturing data from character displays.
Doesn't even need a GPU and returns results in under a second on a modern CPU. No preprocessing needed, just feed it an image. This little multimodal transformer is just as much "AI" as bloated general purpose GPTs, but it's cheap, fast and useful.
That's cool and all, but we're talking about the AI companies that are trying to get valuated at trillions of dollars and want taxpayers to pay for the upgrades to the grid. The sad part is it's likely going to work
I'm just stating that "AI" is a broad field. These lightweight and useful transformer models are a direct product of other AI research.
I know what you mean, but simply stating "Don't use AI" isn't really valid anymore as soon these ML models will be a common component. There are even libraries and hardware acceleration support for tensor operations on the ESP32-S3.
I didn't say don't use AI.