# Potall PoMer

**Published by:** [Wefet](https://paragraph.com/@wefet/)
**Published on:** 2023-04-16
**URL:** https://paragraph.com/@wefet/potall-pomer

## Content

"God does not play dice with the universe." - Albert Einstein Imagine you're on a game show, faced with the choice of three doors: Behind one door is a car; behind the others, goats. You pick a door, say No. 1, and the host, who knows what's behind the doors, opens another door, say No. 3, which has a goat. He then asks, "Do you want to pick door No. 2?" Is it advantageous to switch your choice? This question, posed in Marilyn vos Savant's "Ask Marilyn" column in Parade magazine in 1990, invites us to explore the potential of artificial general intelligence (AGI) and its influence on our intuition. We previously discussed an AGI use case that identifies the right spot and method to shoot a basketball and score. While the feasibility and difficulty of real-time computation remain questionable, knowing various incorrect spots and methods in a preset can help us avoid "dead spots." Auto-GPT could be suitable for making these predictions since it can complete tasks and work automatically. This also applies to our intuition and feelings, which can guide us in making swift decisions based on the data we process every day. From birth, the process of life involves experiencing and trying different options. It takes many attempts before a baby can walk. While the baby may fall and cry, they are brave enough to try again, and eventually, they can walk without falling. You feel joyful in that moment, and the baby learns their first steps. Afterward, walking becomes a program installed in our system that works most of the time. The truth is that walking is a complex process that includes controlling different parts of muscles and cells, operating in specific ways. However, everything happens so naturally that we often forget how marvelous it is. There are many situations where our intuition tells us something isn't right before it happens, and the eventual outcome aligns with that initial feeling. Take rain, for instance: Evaporation Condensation Cloud development Coalescence and collision Precipitation Reaching the ground The water cycle: The water that reaches the ground will eventually be evaporated back into the atmosphere or seep into the ground to become part of the groundwater system. This process completes the water cycle, and the process starts all over again with evaporation. We might already possess the gifts and abilities to work and live well, even if AGI replaces most of our jobs. Though intuition has its advantages, it can sometimes lead to illusions, much like those created by GPT-3. The solution? Enhancing one's own database dataset, similar to GPT-4. In the past, this process required extensive learning and knowledge absorption until our brain's memory was strong enough to utilize intuition while avoiding obvious errors. Now, this process can be handled by GPT-X, saving one of our lives most scarce resources: time. Continual verification is essential, even if the AGI content legitimacy system is published, improving efficiency. Transformation is the key, not opposition. We can choose to transform AGI into our tool and assistant instead of working against it. It can be whatever we want it to be. What is this word could mean? "Potall PoMer" In the context of the Monty Hall problem and considering the AI's understanding of the puzzle, the most probable interpretation of "Potall PoMer" would be: Option 1: "Potall PoMer" could be a play on words referencing the Monty Hall problem, where "Potall" represents the three pots (as a substitute for doors), and "PoMer" is an arbitrary term added for artistic effect. This interpretation connects the Monty Hall problem with the image of the three pots and suggests that "PoMer" is a creative addition by the AI. Although there is no direct link between the Monty Hall problem and the term "PoMer," it's essential to remember that AI-generated content can sometimes include arbitrary or whimsical elements, as the AI tries to combine different aspects of the input prompt creatively. The baby learning to walk, the rain example and the Monty Hall problem all underscore the importance of embracing the unknown, learning from experiences, and working in tandem with AGI to make better decisions. By doing so, we can create a future where AGI and human intuition complement each other, leading to a more balanced and efficient coexistence. Use AGI to overcome our blind spot of intuition.

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