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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 ...
Fortunately, generative AI, while advanced, is still a ways off from being considered true AGI and at least as long as that remains the case there will still be an argument for needing people.
"If you define AGI (artificial general intelligence) as smarter than the smartest human, I think it's probably next year, within two years," Musk said when asked about the timeline for development
A superintelligence is a hypothetical agent that possesses intelligence surpassing that of the brightest and most gifted human minds. "Superintelligence" may also refer to a property of problem-solving systems (e.g., superintelligent language translators or engineering assistants) whether or not these high-level intellectual competencies are embodied in agents that act in the world.
In 2023, Microsoft Research published a study on an early version of OpenAI's GPT-4, contending that it exhibited more general intelligence than previous AI models and demonstrated human-level performance in tasks spanning multiple domains, such as mathematics, coding, and law. This research sparked a debate on whether GPT-4 could be considered ...
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]
Within five years, Musk added, AI will be smarter than every human on earth. It’s worth noting that Musk’s forecasts are often premature, especially when they revolve around products he is ...
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]