The Path to AGI: Categorizing Levels of Intelligence
How we define progress toward Artificial General Intelligence, from emerging models to superhuman systems.
The Path to AGI: Categorizing Levels of Intelligence
Artificial General Intelligence (AGI) is the "holy grail" of the field. But what does it actually mean? OpenAI, Google DeepMind, and other labs have begun to create levels to define our progress toward a system that can do everything a human can.
Defining the Levels of AI
Researchers often use a 5-level scale to categorize progress:
- Level 1: Emerging (e.g., ChatGPT): Basic reasoning skills, conversational, but requires guidance.
- Level 2: Competent (e.g., GPT-4): Can solve complex tasks like a skilled human in most areas (coding, writing, reasoning).
- Level 3: Expert: Can perform better than 90% of humans in any given domain.
- Level 4: Virtuoso: Performing at the level of the top 1% of experts globally.
- Level 5: AGI: A system that can perform better than any human at any task that is economically valuable.
The Turing Test is Dead
For decades, the "Turing Test" was the standard. If a machine could fool a human into thinking it was human, it was intelligent.
Today, we look for Generalization—the ability to learn a new task without being specifically trained for it. An AGI doesn’t just "know" things; it knows "how to learn" everything.
The Economic Impact
AGI isn't just a technical milepost; it’s an economic transformation. A system that can perform any digital task as well as a human will redefine work, value, and the global economy.
Conclusion
We are currently at the "Emerging" to "Competent" transition. The path to AGI is no longer a question of "if," but "when." Whether it takes 5 years or 50, the journey toward general intelligence will be the defining story of our century.
Next, we discuss the power of the people: Open-Source AI.
Do you think AGI will be achieved in your lifetime? What's your prediction for the year?
