AI evolution never stops. In the past, being able to pass university entrance exams was considered a significant milestone, but that standard is becoming outdated. Possessing knowledge alone is no longer enough—AI has already entered the stage where it demonstrates real-world capabilities. So, what defines a truly advanced AI? What separates an AI that merely solves problems from one that excels in practical applications? In this article, we will explore AI’s growth and redefine the criteria for evaluating its capabilities.
1. What Should Define AI’s Superiority?
With the emergence of various AI models, we need to establish more precise and fair evaluation methods. Traditional assessment criteria have their limitations, making it necessary to adopt a new perspective.
Past Evaluation Standards
AI was once judged based on whether it could solve university entrance exam questions or provide accurate answers to inquiries. However, today’s AI has surpassed those benchmarks, making them obsolete. AI evaluation must now shift towards assessing how well it applies knowledge and contributes to the real world.
University Exams Are Too Easy for AI
Achieving a high score on a difficult university entrance exam is extremely challenging for humans, but for AI with vast knowledge, it is effortless. While humans need years of study to attain the same level of expertise, AI can learn and process information instantly. Therefore, passing a university entrance exam is merely one indicator of AI capability—it does not define its true value.
Accuracy Is a Basic Requirement
Utilizing vast datasets to provide precise answers is a fundamental requirement for AI. If its learning data is flawed, AI will reach incorrect conclusions, making continuous data updates and quality control essential. Moreover, AI must incorporate new technologies and trends effectively, necessitating enhanced self-learning capabilities. AI will never be entirely omniscient, meaning ongoing data refinement and algorithm improvements are crucial.
2. How AI Will Continue to Evolve
What developments are necessary for AI to become even more useful? Beyond simple information processing, AI must develop deeper comprehension and adaptability.
Understanding Human Emotions and Perspectives
A crucial next step is enabling AI to grasp human emotions and values, responding appropriately based on context. Instead of merely offering information, AI should interpret context, utilize facial recognition to analyze expressions, and engage in natural human interactions.
Specialized Knowledge and Real-World Problem-Solving
Future AI will increasingly specialize in distinct fields, leveraging expertise to solve complex problems. Industries such as healthcare, finance, manufacturing, and education will see AI tailored to their specific needs, driving sector-specific innovation.
AI as a Collaborative Partner, Not Just a Tool
AI will not merely replace human jobs; it will complement and enhance them. AI-powered medical devices, automated production assistants, and task-executing robots will be instrumental in addressing labor shortages and increasing efficiency.
3. AI Has Reached the Professional Stage
Recent AI advancements have been remarkable, moving beyond mere knowledge accumulation into real-world application.
From High School to Entry-Level Professional in One Year
A year ago, AI was comparable to a high school student. Before that, it was at an even more rudimentary level. However, in less than a year, AI has evolved to the point where it could be considered a university graduate entering the workforce. It has transitioned from a student following instructions to a capable partner in professional environments.
AI’s Expanding Reach
AI is no longer limited to text generation—it is now capable of creating images, audio, and even videos. While early AI applications existed in creative fields, the past year has seen unprecedented advancements. The emergence of AI-driven video generation suggests a future where AI functions as a true creative force.
The Future of AI
Currently, AI is still in the “creation” phase, but its future lies in generating original, high-quality content. AI will mix human directives with its own ideas and styles, producing sophisticated creative outputs. Its impact will extend far beyond knowledge databases, with AI integrating into video production, robotics, autonomous vehicles, and even military applications, unlocking new possibilities across diverse industries.
The Changing Standards for AI Evaluation
AI is no longer just a database of knowledge—it is now functioning as a “first-year professional” in society. Moving forward, AI must enhance human collaboration, deepen specialization, and foster creativity. As AI continues to evolve, it will increasingly support human endeavors, contributing to technological and societal progress.
Traditional evaluation methods, such as university entrance exams, are becoming obsolete. While these exams challenge humans, AI can rapidly learn and outperform them with ease. This highlights the need to shift towards a more advanced evaluation system that measures AI’s real-world applicability and problem-solving skills.
AI Judgment in Trading
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The biggest advantage of AI-driven evaluations is accelerated learning. AI can analyze vast amounts of data and provide insights that help traders grow in a shorter time span. Ignoring AI’s potential and dismissing it as merely a chatbot would be a significant missed opportunity. By leveraging AI effectively, individuals can enhance their decision-making and accelerate their own growth.
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