In this news:
ASTURIAS, SPAIN - OCTOBER 28: Yann LeCun arrives at the "Princesa de Asturias" Awards 2022 at Teatro ... More Campoamor on October 28, 2022 in Asturias, Spain. (Photo by Samuel de Roman/Getty Images)
Getty Images
AI is a big deal. What does it mean? How do we decipher the hockey stick projection around AI’s increasing dominance in markets and industries?
Much of this people can understand intuitively – that models are increasingly giving us the answers we need, in our jobs, in our creative endeavors, and elsewhere.
But we can also learn from experts who are closest to this field – and who have extensive experience tracking the nature of AI as it develops.
In addition to what he contributed to panels and other segments at Davos in January, I spoke to Yann LeCun, former head of Meta research, about where we’re headed.
A Realistic Vision
First, LeCun urged us to have a clearheaded idea of the future of AI progress.
He noted that an exponential curve looks like the beginning of a sigmoid function, and that everything saturates after a while.
“You have to be realistic about what the progress is going to be,” he said. “It's not an exponential, it's a succession of exponentials… when a first exponential starts saturating, you come up with a new paradigm that continues. And when you are in the trenches of research, you have to come up with those new paradigms. And they don't just occur.”
Four Things
In response to some of my questions about AI, LeCun gave four bullet points that we can be thinking about. I’ll present them one at a time:
.png)
