Nvidia CEO Jensen Huang has quashed the much debated notion of “God AI,” setting back assertions that such a technology is anything close to becoming a reality.
He said that the concept is a part of a distant future and not an imminent technological breakthrough.
In current debates about AI, “God AI” is employed to denote a hypothetical kind of intelligence that might master almost every field of human knowledge including language, medicine, biology, physics and so on.
Huang made no mistake in stating that this idea is firmly in the realm of theory. Despite all the dramatic media stories and the growing public interest in the subject, current AI systems are very far from these all-encompassing capabilities.
According to him the gap between present day AI and omnipotent intelligence of any sort is huge.
Huang’s comments have weight considering Nvidia’s central position in the AI boom globally. Under his leadership, the company has become a giant in the graphics processing units and data centre technologies which are the basis for many of the most advanced AI systems in use today.
Nvidia’s hardware is powering large scale AI models across industries which has the company at the forefront of continued innovation.
However, Huang used his platform to call for caution instead of hype. He advocated for a focus on practical, real-world applications for AI and ensuring that the industry continues to prioritise practical applications that deliver tangible benefits for businesses and society over speculative and anachronistic goals such as aspiring to create artificial super-intelligence.
He also cautioned against what he called “doomer narratives,” which entail catastrophic predictions about the consequences of AI that is extremely well developed.
Such portrayals, he argued, serve to muddy the waters and confound sensible regulatory discussions.
While acknowledging that in principle a “God AI” might be possible, Huang put first that it is not on any near-term agenda.
He warned of the need to manage AI with care since its potential risks are on par with possibly even the most destructive technologies known to humankind.
His message was clear: realism, safety and sharing should be the moving force when it comes to the future of AI.
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