Visions of the AI and future

Sometimes, when we use AI. We face things that the AI gives answers that have no logic at all. Those answers might make no sense. That makes researchers think, about how to make AI more trusted. Or rather saying. Make AI the ability to give more right answers.  When we ask something about things like mathematics, the AI is a tool that gives the right answers, if we ask things like what is the Pythagorean claim. In those cases, where AI can pick precise information from simple questions, it's invincible. Or if we want the AI can calculate the right triangle's area and give the measurements of the catheters and order to use the Pythagorean claim so that the AI will not make mistakes. But when we ask something else we face things that the AI doesn't think.  Then we must realize. What is the difference between data connections from different sources and deep knowledge? Deep knowledge means that the system knows what the words mean. And in that case, we must realize, that when w

"AI’s ability to learn through thinking, akin to human cognitive processes, showcases its potential and limitations in mimicking human reasoning and adaptation. Credit: SciTechDaily.com" (ScitechDaily, How AI Is Learning to Think on Its Own Like Humans) The thinking process means that the system, like human brains interconnects data and transforms it into a new form. That data transformation can happen through internal simulation or by connecting data from sensors to the data, that system stored in databases.   And even if "New research highlights how AI, like humans, learns through explanation, simulation, analogy, and reasoning without external inputs. This on-demand learning, beneficial for adapting knowledge to new contexts, illustrates similarities and pivotal differences between natural and artificial cognition, offering a unique lens to study human thought processes and AI’s potential and limitations" (ScitechDaily, How AI Is Learning to Think on Its Own Like