AI in college entrance exams is too easy! A new standard to truly identify excellent AI

1. What determines the superiority of AI performance?

With the emergence of various AIs, there is a need to devise more precise and fair evaluation methods for AI. Traditional criteria have limits, and new perspectives are required.

■Past evaluation criteria

In the past, AI was evaluated by whether it could solve university entrance questions or answer questions correctly. However, current AI clears these criteria, and such standards have become ordinary. It is no longer appropriate to evaluate AI solely on these grounds; new evaluation criteria are sought. It has become important how AI can apply knowledge and contribute to real society.

■For AI, university entrance exams are easy

scoring highly on difficult university entrance exams is extremely difficult for humans, but for AI with vast knowledge it is easy. Humans require enormous study time to acquire the same level of knowledge, but AI can learn indefinitely. In other words, passing university entrance exams is only one indicator of AI capability, and does not by itself make it highly capable.

■However, the accuracy of knowledge is a prerequisite

Using AI's vast data to provide accurate answers is a premise and a necessary condition. If the learning content itself is incorrect, it can lead to wrong conclusions, so ongoing data updates and quality control are essential. Also, to properly incorporate new technologies and trends, AI must strengthen its self-learning capabilities. In all aspects, AI knowledge will not be万能, and ongoing data scrutiny and algorithm improvements will be required in the future.

2. Potential evolution of AI

What kinds of evolution will be required for AI going forward? To be more useful to humans, AI needs advanced understanding and applied capabilities beyond mere information provision.

■Ability to understand human nature

As the next step in evolution, it is required that AI understands the other person's emotions and values, and responds with appropriate answers accordingly. It is not just about providing information; interpreting context and using facial analysis via cameras to enable natural communication with humans will be key.

■Specialized knowledge and real-world problem-solving ability

Future AI is expected to specialize in specific fields, leveraging expert knowledge to solve problems. AI is being utilized across many sectors such as medical, finance, manufacturing, and education, with AI optimized for each industry emerging.

■AI is not just a tool but a collaborative partner

As AI continues to evolve, it will not merely replace human work but complement and collaborate as a partner. It will be more than AI with specialized knowledge; think of AI-equipped medical devices or robots that carry out prescribed tasks. We hope these devices help alleviate labor shortages.

3. AI has become a working professional

In recent years, AI has progressed at an astonishing pace and has surpassed the student realm. It is transitioning from a knowledge-accumulating stage to a stage where it can thrive in real society.

■One year ago, a high school student; now, a first-year professional

About a year ago, I evaluated AI as “high school level.” Prior to that, it was still like a kindergartner, so its progress was huge. But within less than a year, AI has graduated from college and grown to a first-year professional level. A student part-timer who only followed instructions has now become a necessary work partner.

■AI spreading across various fields

AI is expanding beyond text generation to image, audio, and video generation. Image creation, music composition, and more have existed before, but the past year has shown remarkable progress. Recently, video-generation AI has appeared, and it is expected to take on the role of creator producing its own images in the future.

■The future of AI

We are still in the creation stage, but in the future, more creative AI will emerge, mixing its own ideas and styles with human instructions to produce high-quality works. The use of AI will not be a simple collection of knowledge but AI plus video-generation tools. AI plus medical robots, AI plus automobiles, AI plus fighter aircraft, and other diverse directions will create new value.

AI evaluation criteria are changing

AI is no longer just a knowledge holder; it is starting to thrive as a “first-year professional” useful in real society. The AI of the future will be expected to collaborate with humans, deepen expertise, and engage in creative activities. With further evolution, AI is expected to thrive in new domains and become a partner that supports society alongside humans.

As an evaluation criterion for AI, knowledge tests like university entrance exams are becoming a thing of the past. For humans, such tests are challenging, but AI can learn vast amounts of data and answer with high precision. Since university entrance exams are too easy for AI, using them as an evaluation criterion is inappropriate.

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