During the Nvidia GTC conference, CEO Jensen Huang shocked everyone by declaring that Artificial General Intelligence (AGI) could arrive in just 5 years and be “8 percent better” than human intelligence. AGI, also known as “strong AI,” is a system where machines can learn to make logical decisions and surpass humans in all facets of knowledge. The concept of machines developing their own feelings and subjective experiences has opened up an ethical debate that has been explored in science fiction.
The fear surrounding AGI is that it could improve itself at an exponential rate, eventually surpassing human understanding. Huang set a timeline of five years for companies to get closer to this possibility, emphasizing the need for clarity on what AGI means and what goals it is expected to achieve. He believes that if AGI is specific and can excel in certain tests, such as law exams or logical tests, we could reach this milestone within five years.
One challenge with current AI models is addressing hallucinations and misinformation generated by AI systems. Huang suggests that ensuring well-researched answers and utilizing an “augmented recovery generation” approach can mitigate these issues. Nvidia, a leading company in graphics processing technology, plays a crucial role in AI development with its GPUs facilitating efficient processing of large datasets in AI applications.
While some experts like Mark Zuckerberg are optimistic about AGI, not all AI researchers are convinced of its arrival as depicted in science fiction. They argue that there is no consensus on the definition of AGI, making it more of a philosophical question than a scientific one. Despite advancements in AI technologies, achieving true AGI remains a contentious topic within the industry.
