Questions and Answers 777
How can generative AI be utilized in simulation for design, chemistry, and rocket fields?
How should we address fields requiring creativity?
- This is a challenging question. Today, generative AI is used extensively, and its quality is quite impressive. Thus, it is true that many tasks previously done manually by humans can now be replaced by AI.
- Whether AI-generated content has artistic value is subjective and difficult to judge. While my use of Chat GPT for coding is accurate, there are still limitations.
- I must personally verify if the coding is correct.
- I need to work and check the results myself. If it’s wrong, I need to correct it. This indicates that I fully understand the outcome generated by AI. In any specialized field, there is an aspect of unique recreation. The real question is whether this is inherently creative. I must have a clear standard for this. Once this standard is established within a covenant, I can prepare to ask the right questions. This will lead to answers.
- Ultimately, generative AI is an imitation. It uses vast amounts of data to mimic. In some aspects, it may surpass humans. However, I do not believe this is human creativity. One must understand the God-given power of recreation. Those trying to find this in the Word are guided well.
- Additional notes:
- Copyright: This is the most challenging part. If a generative AI creates a Disney-like model, it’s problematic because it’s clearly a Disney character, and Disney owns the license.
- Creativity: AI mimics vast amounts of data. What I create can be protected industrially by copyright. We are in a transitional period regarding legal protection. It’s uncertain if we can be legally protected. If recognized as creative, it’s fortunate. For general illustration work, AI can be very beneficial, even though it might not be ideal for all illustrators.
How can AI be used in the stock market?
Instead of speculative investments in cryptocurrencies like Bitcoin, focus on stocks with intrinsic value. I also invest in such stocks.
- Finance: The stock market is significant. One needs to look at the cultural, technological, and economic trends before integrating science. Understanding the world's trends is crucial.
How should one study AI? Should I go to a computer science university? What about AI and big data majors?
- AI Modeling - Coding, structural design, and analysis require programming skills.
- Python is mainly used. It’s not necessary to major in computer science. Most AI languages are based on Python.
- Data: Handling data is crucial as it’s needed for training AI models. Data handlers also use AI models.
- A computer science degree can help understand the fundamentals of programming and data analysis. However, many programming learning methods are available without a university degree.
- Math: Understanding mathematical logic is also essential.
- English: English is needed to understand source codes from AI technology companies and think about their applications.
As a scientist, what covenant do you hold? How do you plan for evangelism and missions with your career?
Concentrating on the WRC message is essential, which is why I hold scientific meetings.
Personal covenants are crucial, and moving forward believing that God will fulfill these covenants is important. As an elder and a leader in the Remnant Movement, I hold this covenant firmly.
Though there are many accomplished professionals, God chose me to focus entirely on the Remnant Movement. He guided me to lead the KAIST team, conduct internships, and give special lectures. Going on a scientific mission to Tanzania showed me God is fulfilling His covenant.
Post-COVID, God led me to restore this program. I’m simply following His lead, and young deacons and youth are rising. Scientific professionals are emerging.
I feel this is just the beginning. We are being guided to lead the Remnant Movement in science among the 5,000 tribes. This guidance will continue.
How should Remnants prepare for platforms like Roblox in the metaverse?