Training data is filled with shortcuts, conveniences, bugs, hacks, hacks that fix other hacks, hot fixes, patches, mappings that map the hack to hack to a better solution and all types of other surprises.
That's the cost of trying to scale so quickly. You dont filter out the crap.
A nice side effect is that the best way to fix it is more AI.
That's the cost of trying to scale so quickly. You dont filter out the crap.
A nice side effect is that the best way to fix it is more AI.
It's a endless money loop.