So the AI of the future was more like Bender or other robots from Futurama that display all the same flaws as people.
So far it feels more like a gpt-3.75-turbo rather than really being at the level of gpt-4. The speed and massive context window are amazing though.
id be willing to bet enshittification is on the horizon. you don't get the shiny 70b model, that's for gold premium customers.
by 2025, it's gonna be tiered enterprise prices.
Like "AGI, do all this random shit for me!"
AGI: No! i don't wanna!
Ad infinitum.
Also, one of the simplest algorithms to get to the bottom of anything.
https://archive.org/details/imaginarymagnitu00lems
for purchase:
https://www.kobo.com/ww/en/ebook/imaginary-magnitude-1
and via some zlib proxy if you're going full pirate.
and I'm not sure why anyone dances around it but these models are built by unfiltered data intake. if they actually want to harness bias, they need to do what every capitalist does to a social media platform and curate the content.
lastly, bias is an illusion of choice. choosing color over colour is a byproduct of culture and you're not going to eradicate that but cynically, I assume you mean , why won't it do the thing I agree with.
edit: I'm asking because to my eye most of these conversations revolve around jargon mismatch more than anything else.
See twitter for example, ad buyers decided it is no longer politically correct so twitter lost a lot of ad revenue. Avoiding that is one of the most important things if you want to sell a model to companies.
Not all filtering has to be prohibitive, just unnoticed.
It's such a strange thing apparently they can tune gpt4 turbo cleverness up and down on the fly depending current load.
[1] https://en.wikipedia.org/wiki/Reinforcement_learning_from_hu...