Honestly, the research showing that a schlong that's 3mm wide is just as satisfying as one that's 64 is intuitive once you tie the original inspiration for some of the sex positions.

I have seen these 3 bit ai papers on hacker news a few times. And the takeaway apparently is: the current models are being pretty shitty at what we want them to do, and we can reach a similar (but slightly worse) level of shittyness with 3 bits.

But that doesn't say anything about how both technologies could progress in the future. I guess you can compensate for having only three bits to pass between nodes by just having more nodes. But that doesn't really seem helpful, neither for storage nor compute.

Anyways yeah it always strikes me as a kind of trend that maybe has an application in a very specific niche but is likely bullshit if applied to the general case

It's actually super easy to increase the accuracy of LLMs.

import pytorch # or ollama or however you fucking dorks use this nonsense
from decimal import Decimal

I left out all the other details because it's pretty intuitive why it works if you understand why floats have precision issues.