But we're getting into the limits of knowledge and what is true/untrue. A stochastic model will be wrong sometimes.

Off course, 100% prediction accuracy cannot be achieved.

I just mean that, if you're an ML scientist team, you don't just go, we got 76% accuracy, let's close shop, mail in your resignation, job over.

From that angle, it's not odd at all that the team just continues working and now see if they can achieve greater than 76%.