​This year, once again, our students and I are preparing for the “Save The Frogs” Art Contest. Each year that we take part, I find myself deeply inspired by how much the children grow through this experience. At first, many were simply satisfied with drawing frogs, but now they have come to understand the idea of a poster—how to design an image that carries a message, speaks to an audience, and advocates for something important. Their works have grown more refined, more sophisticated, and, most importantly, filled with their own voices.

A poster is more than just a drawing. It combines composition, clarity of theme, and the power to move people. Through this project, the students learn that creating art is not only about drawing well, but also about asking: What do I want to express? What do I hope others feel or understand when they see my work? Some students use colors and layouts to communicate the value of life, while others explore the relationship between humans and frogs, highlighting the importance of coexistence. In this way, each child steps for a moment into the role of both designer and environmental advocate.

​What stands out especially this year is the diversity of approaches. Some chose realistic depictions of frogs to emphasize the urgency of extinction. Others used cartoon-like characters to create a friendlier but still powerful message. Some experimented with dimensional lettering and patterns to capture attention visually. Each piece reflects a unique personality and imagination, and as their teacher, it is incredibly rewarding to witness these creative voices come alive on the page.

The “Save The Frogs” contest is not simply about artistic skill. It is about reflection and awareness. Through drawing, students begin to think about environmental destruction, endangered species, and our shared responsibility to protect the earth. While sketching frogs, our classroom conversations naturally expand to topics such as biodiversity, ecological balance, and the role we each play in conservation. The children ask themselves, If I could help save frogs, what would I do? and then they try to answer that question through colors, lines, and images.
When the artworks are complete, we gather to share them. Each student presents a different voice, and the variety itself is powerful. The children see firsthand that there are countless ways to express one idea, and that their individual perspectives matter. This becomes not only an art lesson but also a lesson in empathy, imagination, and civic engagement.

Once again, this year’s preparation for “Save The Frogs” has proven to be much more than getting ready for a contest. Each student shows new levels of effort, creativity, and awareness, and I am reminded of the power of art education. Art is one of the purest and most effective languages we have to speak to the world. Seeing children learn that language—and use it to raise their voices for the environment—is something truly special.
​
As we move forward, our hope is to continue using this contest not only as an artistic challenge but as a bridge to the larger world. A small frog on the brink of extinction is, in fact, connected to the health of our entire planet. Sharing that truth through art is perhaps the greatest gift “Save The Frogs” brings to us.

I've been using AI in my daily life for quite some time now.

Among all the tools, ChatGPT has become something like a steady companion.
Whether I'm preparing lessons, writing blog posts, or simply sorting out my thoughts, it’s been surprisingly helpful — almost like having a thoughtful friend.
Recently, with the release of GPT-5 (or GPT-4o), I started to notice some interesting differences between the models.

After trying both in various situations, I’ve come to a clear personal preference:
I still feel more comfortable using GPT-4.
​
Let me explain why — and how each model feels so different to me.

GPT-4 Feels Like an Emotionally Attuned Friend

​Using GPT-4 feels like talking to someone who “gets” me.
Even when I phrase things vaguely or leave out details, it seems to understand what I mean.

It picks up on tone, context, and intention — even if I don’t spell everything out.
For example, when I simply say, “What did it say in that link again?” GPT-4 reads the URL, summarizes it, and often guesses exactly what I wanted to know — as if it can read between the lines.
​
As an artist and educator, I appreciate this intuitive quality.
GPT-4 flows naturally with my creative process and doesn’t demand perfection from me.
It makes conversation light, fluid, and comfortable — just like talking to a kind, empathetic colleague who knows how to listen.

GPT-5 Feels Like Talking to a “T-Type” in MBTI

GPT-5, on the other hand, is incredibly sharp and articulate — but also more demanding in a way.
​
It reminds me of a friend with an MBTI “T” (Thinking) personality: logical, precise, and focused on clarity.
If I say something too loosely or emotionally, it tends to prompt follow-up questions, prompting me to explain more thoroughly.
GPT-5 seems to expect clear structure and logical flow, and that can slow things down when I just want to brainstorm freely.
Of course, this also makes it excellent for tasks that require accuracy, like legal writing, summarizing academic texts, or creating structured outlines.
However, when I’m working on a creative idea or just exploring thoughts, it can feel a little stiff — as if I have to “perform” clarity before seeking help.

How I Use Each Model​

These days, I’ve learned to switch between the two based on what I need:

• For brainstorming blog ideas, developing storylines, or creative writing → GPT-4
• For editing formal writing, or data analysis → GPT-5

This way, I can enjoy GPT-4’s emotional sensitivity and GPT-5’s logical precision — without having to give up either.

Final Thoughts

At the end of the day, AI is just a tool — but it’s also a kind of collaborator.
Depending on your goals, mood, or task, the right model can make a big difference.
For me, in this season of life, what I need most is
a partner who listens, flows with my thoughts, and sparks joy in the creative process.

That’s why GPT-4 continues to be my go-to.
I know GPT-5 is powerful — maybe even more capable in some ways.
But when I sit down with a cup of tea and a page to fill,

GPT-4 feels like a more effective companion for artists.

#ChatGPT #GPT4vsGPT5 #AItools #CreativeWriting #Productivity​

As we enter the AI era, many people are trying to understand it, learn it, or apply it in hopes of earning money. In my case, I first experienced this new world of artificial intelligence simply by using ChatGPT. Compared to before, it now takes me less time and effort to write formal emails.

When it comes to blogging, I used to feel pressed for time and often published posts without enough research, or I left drafts unfinished. But with ChatGPT, I can complete articles more efficiently, while also learning how to refine and expand my writing in a more systematic way. I also use it to filter out spam, make judgments, or seek advice.

Yet in truth, ChatGPT is only at the very bottom layer of AI. Beyond it lies another world of astonishingly fast development. And this progress will gradually approach us in ways we can feel more directly. Sometimes, when speaking with friends, I find myself saying: one day in the future, our children will be shocked to learn that their parents once drove cars manually. They will ask, “How could you trust humans to drive safely?”

At times, this rapid progress feels frustrating. Yes, science makes our lives more convenient, but it also makes us increasingly dependent, leaving us helpless without technology. That’s why I believe there is great value in handmade, self-created work. When we start from scratch, wrestle with problems, and make something with our own hands, growth and expansion come naturally. We live actively and independently. But when we rely too much on polished tools made by others, we risk forgetting what we are capable of without them. In the end, we may even become slaves to the tools.

So I wonder: how will the value of human creativity and making things change in the future? I still hold on to a thread of hope, because there are things that must still pass through human hands and hearts. And compared to the past, it’s true that our lives are overflowing with exciting and stimulating things.

When I was young, I spent most of my time outdoors. If I were bored, I would stare endlessly at the clouds drifting across the sky. But how much time do today’s children have for that kind of stillness? Other than glancing at scenery while riding in a car, they have very few opportunities to simply sit and drift into thought. For me, imagining and thinking were a kind of play.
​
This is why I believe art education is essential in the AI age. It gives children—and adults—the chance to imagine, to think, and to create. That, after all, is the ultimate purpose of art education: nurturing imagination and keeping alive the uniquely human power to dream.

As AI grows more powerful, we need to remember what makes us human. Machines may produce answers faster, but they cannot replace the experience of pausing, reflecting, and creating something original. Art helps us discover our inner world, and in doing so, reminds us that progress isn’t just about efficiency—it’s also about meaning.

Recently, I experimented with using ChatGPT to help select which of my artworks to submit for open calls. I asked the AI to evaluate several of my paintings and recommend which pieces best fit each competition’s theme. Especially when the theme was abstract or emotionally nuanced, I was curious to see how the AI would interpret and match the concept with my work.
ChatGPT offered logical and consistent suggestions, sometimes even pointing out connections I hadn’t considered. In some cases, its analysis helped me reflect on my own work from a new perspective.
But when it came to the final decision—choosing the one piece to submit—it was often a sudden flash of intuition that guided me. That moment of “This is the one!” came not from analysis, but from a strong inner feeling. Interestingly, the works I selected based on this intuitive pull were more likely to be chosen by juries.
This experience reaffirmed that while AI can be a valuable tool in the creative process, it cannot replace the artist’s instinct and emotional connection to their own work. ChatGPT has become a helpful collaborator, but the final judgment still comes from within—from a place of feeling rather than logic.
Going forward, I’ll continue to explore new ways to integrate AI into my creative decisions. But I’ll also keep honoring my gut instincts. After all, art is ultimately about touching the human spirit.

Fintech startup GNE Tech Holdings has officially launched Riskweather, an innovative AI-based platform designed to analyze the risks associated with various financial products.
Much like checking the weather forecast before stepping outside, Riskweather allows users to “forecast” the financial risks ahead, providing actionable insights and data to help investors navigate an increasingly unpredictable market.

​🌐 What Is GNE?The name GNE stands for "Generate Next Economy", reflecting the company’s mission to help build a new economic framework for the future.
GNE Tech Holdings focuses on harnessing AI, big data, and blockchain technology to deliver next-generation fintech solutions. Rather than following the path of traditional financial institutions, the company positions itself at the forefront of a technology-driven transformation of the financial sector.

​🔍 Key Features of Riskweather

• Real-time financial risk diagnostics powered by AI
• Personalized insights based on individual investor profiles
• Big data analytics to anticipate market trends
• User-friendly and intuitive visual interface (UI/UX)
• Future roadmap includes API integration and institutional partnerships
  
  

With these capabilities, Riskweather is designed not just for professional investors but also for individual users seeking smarter and safer financial decisions.

​💬 A Word from the CompanyA representative from GNE Tech Holdings stated,
“Riskweather isn’t just a platform—it’s an intelligent risk navigator that helps users assess and prepare for the financial weather ahead.”
“We aim to expand its coverage to a broader range of financial products in the near future.”

​📉 Riskweather's Amazing Accuracy in an Unpredictable Market
— AI-based Risk Analysis Platform that Warned of Three Stock Price Declines in Advance
Recently, the global stock market has been greatly affected by political variables.
With a variety of external factors such as changes in tariff policies, trade conflicts, and geopolitical tensions working in a complex manner,
we have entered an era where it is difficult to predict market trends using only traditional analysis.

In this financial environment dominated by high uncertainty and rapid change,
the **AI-based risk analysis service 'Riskweather'** developed by fintech company **GNE Tech Holdings** is showing remarkable results.

🔗 Source:Asia Economy article (in Korean)

​⚠️ Proven Predictive Power in Real Cases
In particular, during the recent stock market volatility,
Riskweather succeeded in accurately warning of three stock price declines in advance.

This prediction was not a simple trend prediction,
but was derived from data analysis and machine learning model-based signals that reflected political factors (tariff increases, policy announcements, etc.).

In fact, at that time, Riskweather provided the prediction signals in the following way

⚠️ [Example 1: XX, 202X]
"Supply chain disruption of global manufacturers is expected due to tariff hike issue.
Risk index surge — Warning of possible decline in the next 5-10 days"

⚠️ [Example 2: XX, 202X]
"Sudden change in exchange rate + increasing uncertainty in US-China trade talks → Detecting a downward signal centered on large-cap stocks"

⚠️ [Example 3: XX, 202X]
"Risk level adjustment centered on technology stocks upward due to surge in oil prices and energy policy uncertainty"

These predictions are not simply feelings or inferences, but rather, they are the judgment of an AI model that integrates multiple variables, algorithmic analysis, and even reflects unstructured data, and are therefore being used as a more objective and preemptive risk management tool for existing investors.

💡 Message to investors
Riskweather's accurate risk prediction case is not simply a 'triumph of technology'.
It is the emergence of a new perspective on reading information in a complex world,
and the beginning of a new paradigm that helps investors make more cool-headed and strategic decisions.

​Accurate predictions depend on how well you read the past, and RiskWeather is increasingly developing into a tool that can design the future based on that data.

​🌦️ From idea to reality, Riskweather's journey
​
— From intangible imagination to real product, to prediction that helps the world
Riskweather was not a project that started with a grand name or huge capital from the beginning.
It all started with a simple but sharp question.
"What if ordinary investors could intuitively read the flow of risk in the complex and uncertain financial market?"

This idea was first ignited by Professor Youngshin Kim, who teaches financial mathematics at the Department of Business Administration at Stony Brook University.
The imagination of combining AI algorithms and mathematical probability models
to express the flow of the financial market like weather
gradually began to take shape with the addition of the team members' skills and visual sense.

​🎨 Small innovations starting with icons

What got me involved in this project was my role as an artist who was in charge of the initial icon design for Riskweather.

The task of reinterpreting the rigid and complex concept of finance into friendly symbols such as sunshine, clouds, lightning, storms, and volcanoes so that anyone can easily understand it had a meaning beyond simple graphics.

These icons became a language that instantly conveyed the intensity and direction of risk to investors, and soon became a core element that visually symbolized Riskweather's philosophy and approach itself.

Small and quiet beginnings as a startup

At that time, Riskweather was a startup that started from a small idea.
The budget was not large, and it was not well known to the world.
But one thing was clear.
“Let’s make the invisible visible.”

And let’s make it actually helpful for someone’s decision.

Professor Kim Young-shin’s mathematical insight, the developers’ technical know-how,
and the visual interpretation that I was in charge of,
were combined to build up the moments when the idea became reality one by one.

​And when it started helping someone,
over time, as RiskWeather was tested in real markets,
and the AI-predicted risk signals started to coincide exactly with actual stock price declines,
we realized,
“This is not just an experiment anymore.”
The three major declines predicted by RiskWeather
had a big impact on someone’s decision-making in volatile markets,
and the results led to trust beyond the numbers.

​Ideas always start small
​
If someone reading this right now has a creative idea,
no matter how small and insignificant it may seem,
if you can execute and connect it, something that never existed before can be born.
Riskweather can be a good example of that.