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“The idea that this stuff could actually get smarter than people — a few people believed that,” Hinton told the New York Times. “But most people thought it was way off. “But most people ...
Then Grant pointed to an idea that human agility will be valued amid the AI revolution, rather than ability. Altman said ability will still be valued, but it won't be "raw, intellectual horsepower."
Though he quit Google in 2023 after realising computers could become smarter than people far sooner than he and other experts had expected, Hinton said the company itself acted very responsibly.
The attainment of greater-than-human intelligence between 2005 and 2030 was predicted by Vinge in 1993. [4] A singularity in 2021 was predicted by Yudkowsky in 1996. [22] Human-level AI around 2029 and the singularity in 2045 was predicted by Kurzweil in 2005. [36] [37] He reaffirmed these predictions in 2024 in The Singularity is Nearer. [38]
An artificial superintelligence (ASI) is a hypothetical type of AGI that is much more generally intelligent than humans, [23] while the notion of transformative AI relates to AI having a large impact on society, for example, similar to the agricultural or industrial revolution. [24]
Moravec's paradox is the observation in the fields of artificial intelligence and robotics that, contrary to traditional assumptions, reasoning requires very little computation, but sensorimotor and perception skills require enormous computational resources.
“Humans are pretty forgiving of other humans making mistakes, but not really at all forgiving if computers make mistakes,” Altman pointed out. He cited autonomous driving as a prime example.
The human variant of the gene SRGAP2, SRGAP2C, enables greater dendritic spine density which fosters greater neural connections. [121] On a cellular level, studies demonstrate von Economo neurons (VENs) are more prevalent in humans than other primates. [122] Studies show that VENs are associated with empathy, social awareness and self-control ...