The ongoing conversation around artificial intelligence has been making headlines, and now, it seems like things have taken an unexpectedly bold turn in terms of AGI, all thanks to Jensen Huang, the CEO of NVIDIA. After all, he has sparked a serious global debate after making a rather unexpected suggestion. Huang explained how he truly believes that AGI has undoubtedly turned into a reality already, leaving everyone shocked.
NVIDIA CEO Jensen Huang breaks silence on human-like AI, ‘AGI’
During a recent appearance on a podcast, the CEO of NVIDIA claimed that human-like AI, which is often referred to as Artificial General Intelligence (AGI), may already exist at this time.
While discussing the rapid evolution of AI systems with the celebrated computer scientist Lex Fridman, Jensen Huang pointed out that today’s models are beginning to demonstrate capabilities that closely resemble human reasoning and understanding.
According to Huang, AI is no longer limited to narrow, task-specific functions. Instead, it’s showing signs of adaptability, learning, and problem-solving. He stated, “I think it’s now. I think we’ve achieved AGI,” when questioned by Fridman regarding how long it might take to “clear the benchmark” when it comes to artificial intelligence. Furthermore, the NVIDIA head’s comment addressed the entire industry.
Moreover, Fridman asked Huang if AGI could operate an entire company. While he cited OpenClaw’s example to confirm that it is “possible,” he added, “A lot of people use it for a couple of months, and it kind of dies away.” Huang also stated that the chances of AI agents “building NVIDIA is 0%.”
Notably, this statement is frankly contradictory to the overly cautious stances that a lot of other experts seem to have taken in the past, who believe that AI can perform any intellectual task as well as a human with comparable depth.
However, it is important to note that current systems, including those powered by NVIDIA’s advanced chips, have made surprisingly huge leaps. Hence, Jensen Huang’s perspective seems to hinge entirely on how we define AGI. If the benchmark is practical capability, then it starts to feel more real and a definite possibility.
