The Day AI Stops Waiting for Instructions: Why AGI Is So Hard to Define

The AI businesses are running to achieve the goal of AGI. The OpenAI researchers recently claimed that the recent achievements put us into the AGI era. However, there is no consensus about what this achievement signifies.

OpenAI usually describes AGI by its ability to do economics: an AI that will be able to perform better than a human being in most economically valuable actions. Other researchers emphasize its ability to learn and think about new tasks.

For you personally, this controversy is very important because one company may announce great success while other companies consider the same technology to be unsuccessful.

Smarter Models Becomes Digital Operators

This conflict became even more controversial due to OpenAI’s GPT-6 Astra. This program is capable of doing complex computing tasks and processes independently, with minimal human intervention. According to Greg Brockman, the president of OpenAI, this may be the sign of the beginning of the era of AGI.

But one advanced AI is not enough for winning this conflict. Both OpenAI, Anthropic, and other laboratories try to develop their AI beyond the answer to prompts. You may notice this change even without any official announcements.

Our View About the Label

We believe that AGI could influence your organization even before the experts acknowledge its existence. You might be delegating more of your research, management, coding, and analysis to increasingly autonomous AI systems very soon.

It helps save time and allows achieving more with fewer people. But it poses several important issues related to security, responsibility, and control. You will need to understand what should be automated, what should be verified, and what shouldn’t be entrusted to machines at all.

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