WHY I LOVE A COMPUTER.

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.

number nice but limit

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.

Evolutions

From Claude with some prompting
Summarize the key points from the image :

  1. Manually Control:
    • This stage involves direct human control of the system.
    • Human intervention and judgment are crucial at this stage.
  2. Data Driven:
    • This stage uses data analysis to control the system.
    • Data collection and analysis are the core elements.
  3. AI Control:
    • This stage leverages artificial intelligence technologies to control the system.
    • Technologies like machine learning and deep learning are utilized.
  4. Virtual:
    • This stage involves the implementation of systems in a virtual environment.
    • Simulation and digital twin technologies are employed.
  5. Massive Data:
    • This stage emphasizes the importance of collecting, processing, and utilizing vast amounts of data.
    • Technologies like big data and cloud computing are utilized.

Throughout this progression, there is a gradual shift towards automation and increased intelligence. The development of data and AI technologies plays a critical role, while the use of virtual environments and massive data further accelerates this technological evolution.

RON ( Routed Optical Networking )

From Claude with some prompting
This image provides an overview of Routed Optical Networking (RON), which is a networking technology that combines IP routing and MPLS with wavelength multiplexing to enable very long distance data transmission.

The key features highlighted in the image are:

  1. Network simplification: RON reduces the complex hierarchy of routers and transmission equipment traditionally used in optical networks.
  2. Cost-effectiveness: RON eliminates the need for separate transmission equipment, reducing hardware and maintenance costs.
  3. Reduced latency: Data is processed within a single device, rather than going through multiple devices, reducing latency.
  4. Operational efficiency: Routing and transport functions are consolidated, allowing the network to be managed from a single management platform.

The image also shows the main components of a RON system, including IP routing + MPLS, wavelength multiplexing, L3 layer, physical layer, router, and DWDM (Dense Wavelength Division Multiplexing). It also lists some specific technologies used, such as IP over Dense, Wavelength Division Multiplexing (Juniper) and Photonic Service Engine (Nokia).

Overall, this diagram illustrates how RON simplifies optical networking by combining multiple networking functions into a more efficient and cost-effective architecture.Copy

WUE

From Claude with some prompting
The image provides information about Water Usage Effectiveness (WUE), which is a metric used to measure the water efficiency of data centers. Here’s a breakdown of the key points:

    1. WUE Components:
      • Water Usage: Includes partial, IT equipment cooling, data center building operations, and indirect water usage.
      • IT Power: Consists of UPS (Uninterruptible Power Supply) and PDU (Power Distribution Unit).
      • One of these two components – IT Power or Water Usage – is selected to be used in the WUE calculation.
    2. WUE Levels:
      • Inefficient Level: > 2.0 L/kWh
      • Industry Standard: 1-2 L/kWh
      • Optimal Target: ≤ 0.5 L/kWh
    3. Recommended Practices:
      • Water Reuse: Recycle wastewater from the data center for cooling purposes after treatment.
      • Adopting Air Cooling: Use external air instead of water for cooling systems.
      • Closed-Loop Systems: Implement systems that minimize water loss through evaporation.
      • Strategic Location: Build data centers in regions with abundant water resources or cooler climates to reduce cooling demand.

    The key update here is that the WUE calculation can use either the IT Power component or the Water Usage component, but not both simultaneously. Please let me know if I can clarify or expand on any part of this explanation.