This posting is inspired after recalling my first essay during my sophomore year in high school, "The Advantages and Disadvantages of being the Oldest Child". I remember very well, my English teacher like my essay. For a while, I was thinking of majoring in Journalism in college. However, my parents discouraged me, telling me that I will never be able to support a family as a journalist. They suggested I take Pre-Med or Pre-Law Classes. I did take two years of Pre-Med. However, I realized I hate the sight of blood in our Zoology laboratory. But I love Chemistry. My Chemistry teacher inspired me to enroll in the College of Chemistry. In October of 1955, I graduated with a Bachelor of Science in Chemistry from the University of Philippines, Diliman, Q.C. And the rest of my professional career is history.
https://chateaudumer.blogspot.com/2023/08/excerpts-from-my-autobiography-updated.html
The Firstborn’s Path: Reflections on Leadership, Legacy, and Going First( partially AI generated content).
I was the first—a title that came not by merit, but by birth. The oldest child of Dr. and Mrs. David J. Katague from Barotac Viejo, Iloilo, Philippines. The one who cried first, walked first, and unknowingly became the practice ground for everything my parents would learn about raising children.
Out of seven siblings, I was the prototype. That meant more attention, yes, but also more pressure. And even as a teenager, I was aware of the double-edged sword that came with my position. I remember writing my very first article for our high school newspaper during my sophomore year. The title? “Advantages and Disadvantages of Being the Oldest Child.” Even back then, I felt the complexity of this role—both burden and privilege, weight and wings.
Being the eldest taught me to lead long before I knew what leadership meant. I was the unofficial assistant, the middleman between parent and sibling, the example to follow—or not. I helped with homework I barely understood myself. I consoled younger ones while still figuring out how to handle my own emotions. And when something went wrong, the blame usually found its way to me, even if I was only in the general vicinity of the crime.
But those moments shaped me. They taught me responsibility not as a theory, but as a daily practice. I learned to anticipate needs, to manage conflict, and to protect those who came after me. These are the foundations of real leadership—skills that no classroom or job title can truly teach.
As I grew older, I realized how many firstborns share this story. We often grow into people who organize, stabilize, and lead—not out of ambition, but out of long-ingrained habit. We were raised to carry expectations, to help hold the family together, and that naturally carries into adulthood.
Still, being firstborn isn’t about being “better.” It’s about being first. And that means navigating unknowns without a guide, making mistakes more publicly, and learning lessons a little more painfully so others don’t have to.
Looking back, I’m grateful. Grateful for the structure, the challenge, the resilience it gave me. Grateful for my siblings, who helped teach me patience and humility. And grateful to my parents, whose high expectations planted the seeds of confidence and competence in me.
So here I am now, decades later, still reflecting on a topic that first sparked my young writer’s curiosity: the advantages and disadvantages of being the oldest child. The essay may have changed, but the insight remains—being firstborn is not just a position in the family tree; it’s a quiet, formative calling to lead with heart, even when no one is watching.
Meanwhile here's what ChatGPT says about-Why First born Child are better Leaders:
The idea that firstborn children are better leaders is a common belief backed by some research in psychology and sociology, although it's not a strict rule.
Here's a breakdown of why this might be the case:
Lastly, Here's more Information on AI 
AI works by combining large amounts of data with algorithms, which are sets of instructions that tell a computer what to do. The process can be broken down into five main steps:
- Input: AI systems start by collecting data, such as text, images, or sounds. This data is the foundation for everything the AI will do.
- Processing: The AI analyzes the data using algorithms to identify patterns and relationships. For example, it might recognize that the word "cat" often appears with images of furry animals.
- Outcomes: Based on its analysis, the AI makes predictions or decisions. For instance, it might suggest a movie you’d like based on your viewing history.
- Adjustments: If the AI makes a mistake, it learns from it. This process, called "training," helps the AI improve over time.
- Assessment: Finally, the AI evaluates its performance and adjusts its algorithms to get better results in the future.
Key Technologies Behind AI
AI relies on several advanced technologies to function effectively. Here are the most important ones:
- Machine Learning (ML): This is a type of AI where computers learn from data without being explicitly programmed. For example, ML can help a computer recognize handwritten numbers by analyzing thousands of examples.
- Neural Networks: Inspired by the human brain, neural networks are systems of interconnected nodes (like neurons) that process information. They are especially good at tasks like image recognition and language translation.
- Natural Language Processing (NLP): This technology allows AI to understand and generate human language. It’s what powers chatbots and voice assistants.
- Deep Learning: A subset of machine learning, deep learning uses layers of neural networks to analyze complex data. It’s the technology behind many modern AI applications, like facial recognition.
Types of AI
AI comes in different forms, each with unique capabilities:
- Reactive Machines: These are the simplest types of AI. They can respond to specific inputs but don’t have memory. For example, a chess-playing AI that calculates the best move without remembering past games.
- Limited Memory: This type of AI can use past data to make decisions. Self-driving cars, for instance, use limited memory AI to analyze traffic patterns and road conditions.
- Theory of Mind: Still in development, this AI aims to understand human emotions and intentions, enabling more natural interactions.
- Self-Aware AI: This is the most advanced form of AI, capable of understanding itself and others. However, it remains theoretical and is not yet a reality.
Everyday Applications of AI
AI is already a part of our daily lives, often in ways we don’t even notice. Here are some examples:
- Virtual Assistants: Tools like Siri and Alexa use AI to understand your voice commands and provide helpful responses.
- Recommendation Systems: Platforms like Netflix and Amazon use AI to suggest movies, shows, or products based on your preferences.
- Healthcare: AI helps doctors diagnose diseases by analyzing medical images and patient data.
- Transportation: Self-driving cars use AI to navigate roads and avoid obstacles.
- Fraud Detection: Banks use AI to identify unusual transactions and prevent fraud.
Why is AI Important?
AI is transforming the world by making tasks faster, easier, and more efficient. It can analyze vast amounts of data in seconds, automate repetitive tasks, and even solve problems that humans find challenging. As AI continues to evolve, it has the potential to improve healthcare, education, transportation, and many other fields.
Conclusion
Artificial Intelligence might sound complex, but at its core, it’s about teaching machines to think and learn like humans. By understanding how AI works, you can better appreciate the technology shaping our world and feel more confident using it in your daily life.
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