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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.
This is because superintelligent AI (which by definition can surpass humans in a broad range of activities) will — and this is what I worry about the most — be able to run circles around ...
In the early years, getting AI models like ChatGPT or its rival Cohere to spit out human-like responses required vast teams of low-cost workers helping models distinguish basic facts such as if an ...
Human Compatible: Artificial Intelligence and the Problem of Control is a 2019 non-fiction book by computer scientist Stuart J. Russell. It asserts that the risk to humanity from advanced artificial intelligence (AI) is a serious concern despite the uncertainty surrounding future progress in AI.
An artificial superintelligence (ASI) is a hypothetical type of AGI that is much more generally intelligent than humans, [22] while the notion of transformative AI relates to AI having a large impact on society, for example, similar to the agricultural or industrial revolution.
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. [35] [36] He reaffirmed these predictions in 2024 in The Singularity is Nearer. [37]
"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 ...
The authors conclude, "this study found evidence that humans can perform better than suggested by Matsuzawa in the limited-hold memory task. However, human performance is still below that of chimpanzees. This difference appears to stem from an inability to keep the location of symbols in working memory" [5]