Optimization: Adjusting something to reach its best state for a specific purpose. We often think that the fastest and strongest options are the best. The fastest way down a slope isn’t a straight line, but a parabola that naturally connects high and low points. A sniper can cause more lethal wounds at 400 meters than at 200 meters. Although the bullet travels faster at 200 meters, the wound size isn’t as large, and at 400 meters, the slower-moving bullet over a longer distance causes more friction as it passes through the wound, resulting in more severe injuries. In every situation, there is an optimal choice suited to the goal. Trial and error are useful for finding this optimization. - Joseph’s “just my thoughts”
How do AIs learn? For humans to learn, they must first express their will. In AI, the flow of electricity takes the place of human will. AI learning involves recording, comparing, and making decisions; currently, computation is the only necessity. Humans learn through similar pathways and mechanisms, but the importance of expressing will tends to be essential in human history. People often respect those who excel at learning, as it is not easy to demonstrate will. However, AI substitutes all entities with symbols of electrons and operations instead of will. Doesn’t placing too much value on the will actually impede human learning? Learning stems from comparison and decision-making. Management functions similarly. - Joseph’s “just my thoughts”