In an interview that Huang gave in connection with him recently being appointed honorary doctor at a technical university in Hong Kong, he says about the answers that AI services provide:
Today, the answers are the best we can get, says Huang in the interview published on
.
However, Huang means that it is not enough. For users must still decide whether they fully trust the answer given.
Is this hallucinated or not? Does it seem reasonable? Is it reasonable or not reasonable? says Huang and continues:
We must reach a point where you trust the answer you get.
However, it will take time, according to the Nvidia CEO:
I think we are several years away from being able to do that, and until then, we must continue to increase our computing power.
American Nvidia is the world-leading manufacturer of graphics cards and processors used in AI and machine learning. Things that cost a lot of money, but which according to Huang are still "cheap".
We have taken the cost of calculation and lowered it millions of times. Then behaviors change. It's the biggest thing Nvidia has done, we've made machine learning with enormous amounts of data something that researchers don't even need to consider whether it's worth it or not.
In a follow-up question where Nvidia's graphics processors were described as expensive, Huang responds:
I gave you millions of times discount over the last ten years. They are practically free!
