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Nvidia CEO Jensen Huang says We’re getting closer to AGI, signaling an important milestone in the assessment of artificial intelligence capabilities.

AGI refers to a form of AI that can learn, think, and perform a variety of functions on par with humans, rather than just performing highly specialized tasks.

If this is the case, AI will soon be able to develop software, lead firms, and automate a significant portion of the world’s economy.

vidia CEO Jensen Huang said: We’ve reached AGI, adding that it’s very likely that an AI system will be able to run an enterprise or launch a massively affordable app for billions of users.

These thoughts are some of the most powerful public statements about the potential existence of AGI.

In a conversation with Lex Friedman, Jensen Huang said AGI has already been achieved, defining the milestone as the ability of artificial intelligence to produce tangible economic results, such as generating a billion dollars in revenue.

AGI refers to AI that can handle a wide range of human-level intelligence tasks.

Unlike current solutions that are strong in specific areas like writing text or code, AGI will be able to learn, reason, and reorganize itself across multiple domains without having to create separate models for each task.

Huang’s comments suggest that actual AI systems may be close to this point. His example – an AI that builds and scales a web service for billions of users – suggests systems capable of planning, implementation, and refinement with minimal human involvement.

This would mean moving from AI as an enabler to AI as an actor in its own right.

However, this statement is highly debatable. There is no single universally accepted concept of AGI, and no major scientific or regulatory body has officially confirmed its emergence.

Many experts believe that modern AI still has problems with reliability, long-term planning, and understanding the realities of the world.

However, this statement demonstrates the pace at which capabilities are evolving. If AGI is actually achieved, the implications will be enormous – transforming software development, business, and the global economy.