> The theory would be making it orders of magnitude less common. LLM’s can’t get 3+ orders of magnitude better here. There’s no vast untapped reserves of clea

> The theory would be making it orders of magnitude less common. LLM’s can’t get 3+ orders of magnitude better here. There’s no vast untapped reserves of clean training data, and tossing more processing power quickly results in overfitting existing training data. Eventually you need to use different algorithms. > That doesn’t fundamentally sabotage the pan. Accuracy can be improved Not nearly far enough to solve the issue.