AGI: Humanity in a Revolutionary World

Imagine waking up to find your house on fire! A standard programmed robot, which usually wakes you up at 6 a.m., would simply wait for that scheduled time. In contrast, an AGI robot would save your life before the fire spreads and take the necessary precautions and actions to handle the emergency. This is the simplest example to illustrate what AGI is.

What makes Artificial General Intelligence (AGI) different from conventional AI is its potential to solve unfamiliar problems rather than reproduce what it has learned during training. The ARC-AGI benchmark evaluates ability through tasks that require abstract reasoning and problem-solving. OpenAI’s GPT-6 Astra has reported a score of 99.9% on ARC-AGI-3 under a particular evaluation setup, bringing new attention to the rapid development of AI capabilities.

The revolutionary change of this AGI is to imagine giving an AI a completely unfamiliar task in Blender, a 3D design software. Instead of simply explaining how the software works, an advanced AI agent could explore its interface, click different buttons, observe the results, understand their functions, and gradually learn how to complete the task. This ability to experiment, learn from feedback, and adapt to new situations represents an important step towards more general-purpose intelligence.

The practical applications of such technology are equally significant. An AI agent that can independently operate complex software could potentially design circuit boards using tools such as KiCad, develop websites, automate engineering tasks, and assist in scientific research. These capabilities may create new economic opportunities and reduce the time and expertise required for certain technical tasks. However, their actual commercial value depends on the quality of the results, implementation costs, and the extent to which human supervision remains necessary. This remains the necessity of humans, not the pathway into the unemployment world.

The Growing Concerns over AGI

Alongside these possibilities, concerns about employment, safety, and human control are becoming increasingly important. As AI systems become capable of performing tasks previously reserved for skilled professionals, some jobs may be transformed or displaced, requiring workers to develop new skills. The central question is not simply whether AI can perform human tasks but how societies will manage the economic and social consequences of this transformation.

In February 2026, Mrinank Sharma, who led Anthropic’s safeguards research team, resigned and published a letter warning that “the world is in peril.” His concerns extended beyond AI to a wider set of interconnected global crises. His departure highlights the ethical challenges faced by researchers working to ensure that technological progress remains consistent with human values.

These developments raise a fundamental question: can human wisdom, responsibility, and governance advance as quickly as artificial intelligence? Some researchers warn that increasingly autonomous systems could eventually become difficult to control if their capabilities develop faster than effective safeguards. Although the possibility of AI escaping human control remains uncertain, it deserves serious scientific and public attention.

As we approach the end of this decade, the challenge is not merely to build more intelligent machines but to ensure that their intelligence serves humanity rather than undermining its future.