At the Nvidia GTC conference, CEO Jensen Huang made a surprising announcement that AGI, or Artificial General Intelligence, could arrive in just five years and be “8 percent better” than human intelligence. This concept of machines surpassing humans in all facets of knowledge has sparked an ethical debate, with some fearing that it could improve itself at an exponential rate and eventually surpass human understanding entirely.
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 can excel in certain tests, such as law exams or logical tests, we could reach this milestone within five years. However, one challenge with current AI models is addressing hallucinations and misinformation generated by AI systems.
To mitigate these issues, Huang suggests utilizing an “augmented recovery generation” approach and ensuring well-researched answers. 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’s arrival, not all AI researchers are convinced of its imminence. 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.
