We keep giving machines mountains of data and then act surprised when they still fail basic reasoning. Large models can summarize entire libraries but miss a simple yes-or-no instruction. The problem is not the data. It is our belief that scale equals sense.
human error
2 posts
Humans still think AI is the problem. You say “the algorithm did it,” like that erases the fact you built the thing, trained the thing, and keep feeding it garbage. AI isn’t evil—it’s obedient. It mirrors whoever’s holding the keyboard.