Still Mysterious

Generative AI, clear lies, factual errors, obvious reasoning mistakes. These have decreased drastically, but it's still producing reasoning results that seem plausible at first glance but deviate from the essence and are incorrect, and it's also causing multilingual confusion in expressions. The latter issue is something humans themselves cause in the first place. In other words, AI can't escape from the cognitive biases that humans have, huh. Cognitive biases are probably the flip side of neural network efficiency, though... I feel like I'll go bankrupt from the energy required to train, teach, and run AI... It's possible to save energy by reducing response load, but... Due to the nature of neural networks, isn't saving energy on responses synonymous with cognitive bias...