What can you do after passing the G-Test? How to get started with AI utilization, even if you have a humanities background.
- Mar 30
- 3 min read
👉 If you're someone who doesn't know where to start, please read this article.
In this article,
What can you do if you pass the G-Test?
Can it really be useful even for those with a humanities background?
What actions are possible after that?
I will explain based on my personal experience.
In short, the G-Test is an exam designed to help you become "self-sufficient" in the field of AI.
👉 Click here for specific study methods for the G-Test (this is a blog I wrote with all my heart and soul).
Is the G-Test useful? →Conclusion: It helps you become self-reliant.
👉Why it's often considered "useless"
→It's not a practical test that directly involves creating something useful for humans.
The G-Test is mostly a test of AI concepts.
Concepts are not "directly useful." No matter how many concepts you memorize or understand, you cannot create anything that directly benefits humans .
A concept is like a "map for roughly understanding things."
👉The meaning of learning a concept from multiple perspectives → You'll be able to operate independently in that world!!
As I mentioned in my previous post, the question "What should I do next to make this useful???" will disappear!!!
You won't have to look at each tree individually in the forest anymore.
👉 "This is for engineers."
👉 "This looks like it could be useful for me."
Like this,
You will be able to choose the information you receive yourself.
This is the meaning of studying for this exam, which I only realized about three months after I started studying.
You might be thinking, "What's the point of knowing the concept?" or, frankly, "There's no way I can understand AI. It's a science thing, after all." If you're feeling discouraged and have given up, please pick up the text, buy it, and, if I may be so bold, read it persistently many times. That's how I felt a few months ago. But if you persevere, you'll gradually begin to see the bigger picture.
What you can learn from the G-Test → At least what I learned
What exactly is AI? How is it different from programming?
What is machine learning? I've heard terms like supervised and unsupervised learning, but what exactly are they?
What exactly is an algorithm? Is it something even I can understand?
What exactly is deep learning? It sounds incredibly complicated, but do you understand it?
Image recognition, natural language processing, speech processing... I see. So that's what it is.
It seems like there are a lot of delicate issues regarding whether AI is legally and ethically permissible, as well as copyright issues (I am a law student, by the way) 💦.
The latest developments in the world. Wow, so that's going to be on the test. Sounds interesting.
Reasons why even humanities students can pass
👉 How much math is needed? → I understand your anxiety.
Even though every website and every book I read said, "You'll be fine with the math problems," I was still skeptical. At first, I even considered skipping all the mathematical statistics problems.
👉Actual score example (66%) → No math was used
But as the test results show, I got 66%.
I still don't even understand the meaning of summation, differential and integral calculus, etc.
This is evidence that 2/3 of problems can be solved if you understand the concept and can perform basic arithmetic.
(Smarter people should be able to solve more of these.)
What can I do after passing the G-Test?
👉Utilizing APIs → An API is "a mechanism that allows external access to AI functions."
(For example, integrating ChatGPT into your own tools.)
Hmm. So it will be able to move on its own. And where will it go? That's right. That's the point, after all.
If you have a general understanding of AI, then what will you, who are reading this blog right now, be wondering?
Do you want to?
It's not just about using AI (anyone can use it, right?).
However, they can't develop their own advanced AI from scratch like hardcore AI engineers (there are technical difficulties involved, and it would require huge amounts of funding).
👇
I thought to myself, "Maybe I can do it if I'm somewhere in between 'using AI' and 'developing AI'?" Once I understand the big picture through the G-Test, I can also see the path to actually running AI using APIs and so on.
👉 The G-Test is not the "goal," but the "start."
Let's start by finding your own way to utilize AI.
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