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Joined 1 year ago
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Cake day: July 21st, 2023

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  • The only real advantage of local AI is privacy and that it’s much cheaper if you use it a lot.

    The only consumer use case I see in the wild with some real momentum behind it is role play.

    All the local AI communities I browse are 50% people trying to find usecases for it at their job (like me; unsuccessfully I might add) and 50% people interested in role play.

    People will apparently spend thousands to jerk off to a soulless machine demon simulacrum shell of a human.

    To be fair, I can see the appeal of local AI for video games, like RPGs. There is this really fun game called “Suck Up”, where you are a vampire trying to convince AI to let you inside their house. That is the one real “killer” application I see atm.

    I personally see a lot of other useful usecases for local AI, but from my experience at work, I would estimste it will take another 5 years until any of it is anywhere near consumer ready.











  • It is kind of interesting how open machine learning already is without much explicit advocacy for it.

    It’s the only field I can think of where the open version is just a few months behind SOTA in all of IT.

    Open training pipelines and open data are the only aspects that could still use improvements in ML, but there are plenty of projects that are near-SOTA and fully open.

    ML is extremely open compared to consumer mobile or desktop apps that are always ~10 years behind SOTA