The Computing for the Fair Human Life.
Humans are affected by numerous external factors such as food, sleep, family, and work, causing distractions and fatigue, whereas AI operates solely based on its predefined purpose, continuously performing the same task as long as it has power.
with ChatGPT
With a Claude’s Help
This image illustrates a comparison between key quantum physics characteristics and human society, titled “Quantum likes humans.”
It presents three main quantum properties:
The image is structured with:
Each concept is visualized to make complex quantum principles more relatable by drawing parallels with human social dynamics.
This visualization effectively simplifies complex quantum mechanics concepts by relating them to familiar human social behaviors and relationships, making the concepts more accessible to a general audience.
AI has now reached a level that can truly be called Artificial Intelligence. This is especially evident in the era of Machine Learning (ML). Humans learn through experiences—essentially data—and make judgments and take actions based on them. These actions are not always perfect or correct, but through continuous learning and experience, they strive for better outcomes, which inherently reflects a probabilistic and statistical perspective.
Similarly, ML learns from massive datasets to identify rules and minimize errors. However, it cannot achieve 100% perfection because it cannot learn all possible data, which is essentially infinite. Despite this, recent advancements in infrastructure and access to vast amounts of data have enabled AI to reach accuracy levels of 90% to 99.99%, appearing almost perfect.
Nevertheless, there still remains the elusive 0.00…1% of uncertainty, stemming from the fundamental limitation of incomplete data learning. Ultimately, AI is not so different from humans in how it learns and makes probabilistic decisions. For this reason, we can truly call it Artificial Intelligence.
Democracy and the constitution are like the fundamental principle of “1+1=10” in computer calculations. If these fundamentals are not respected, the results derived from immense computing power will ultimately be nothing more than illusions.
“1+1=10” 이어야 한다. 이 믿음이 사람들, 사회에서도 이루어지길 바란다.
물론 컴퓨터로 담아내지 못한, 또 담아낼 수도 없는 무언가 있다는 것은 잘알고 있다.
하지만, 알고 있는 것, 지켜야 하는 것, 지향해야 하는 것.. 그것은 확실히 지켜져야 한다.
정치라는 것의 아무런 관심도 없었고, 잘못된 정보로 인한 부끄러웠던 나의 과거가 존재한다. 하지만 1+1=10 이 아닌 현상을 너무 극명하게 느끼게 되면서.. 그 정치라는 것에 대해 관심을 가지게 되었다. 그리고 바랬다…누구에게나 공정한 “1+1=10” 세상이 되면 좋겠다고..
그리고 내가 그나마 알고 있는 컴퓨터 기술로 그 방향에 도움이 되면 좋겠다는 생각을 하게 된것 같다.
비트코인을 첨 알고 매력을 느꼈고. 지금은 WEB3 에 관심을 가질수 밖에 없는 이유이기도 하고.. 물론 사람의 욕심은 끝이 없고 무한할 것이다. 하지만 욕심은 문제가 아니다. 문제는 적어도 우리가 지켜온 “1+1=10” 이라는 지금까지 만들어온 기본인 Democracy 와 Constitution 은 지켜야 할 것 아닌가.. 그래야 발전을 꿈꾸고 그 위에서 사람의 욕심을 채워가야 하지 않을까 싶다.
This concept emphasizes the balance between numerical analysis and human intuition. Numbers are efficient tools for decision-making but have limitations, as they cannot solve everything. It highlights the importance of adhering to principles and goals when using data. Areas beyond numerical solutions allow for creativity and human values to drive progress, advocating for an integrated approach to decision-making.
From Claude with some prompting
This image illustrates the human process of approaching truth through understanding and prediction. The key components are:
These elements are connected sequentially, with prediction aiming to get “near to the Truth.”
The process is built on two foundational concepts:
These concepts interact through “New & Verification,” with the fundamental aspect encompassing “More Micro, More Macro, More Detail.”
Key Insights:
In conclusion, this image portrays the continuous human quest for knowledge and truth, acknowledging our perceptual and expressive limitations while emphasizing our persistent efforts to expand and deepen our understanding of the world around us.
From Claude with some prompting
This diagram titled “Everything is” illustrates the process of human perception and understanding:
In essence, this diagram portrays how humans receive information through their senses and process it using both human logical thinking and automated thinking (like AI). This continuous process expands our understanding of the world, allowing us to comprehend “EVERYTHING” from increasingly detailed (micro) and broad (macro) viewpoints. The diagram illustrates our journey towards a deeper and wider understanding of everything around us.
Lechuck Park 