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A global catastrophic risk or a doomsday scenario is a hypothetical event that could damage human well-being on a global scale, [2] even endangering or destroying modern civilization. [3] An event that could cause human extinction or permanently and drastically curtail humanity's existence or potential is known as an " existential risk ".
The doomsday argument (DA), or Carter catastrophe, is a probabilistic argument that claims to predict the future population of the human species based on an estimation of the number of humans born to date. The doomsday argument was originally proposed by the astrophysicist Brandon Carter in 1983, [1] leading to the initial name of the Carter ...
Doomsday was developed in one of the harshest habitats in all of existence: prehistoric Krypton. Through cloning technology, the infant continually returned to life and evolved, becoming resistant or immune to whatever killed him before, ultimately permanently acquiring the capability to regenerate and evolve without technology.
Doomsday may refer to: Eschatology , a time period described in the eschatological writings in Abrahamic religions and in doomsday scenarios of non-Abrahamic religions. Global catastrophic risk , a hypothetical event explored in science and fiction where human civilization or life is at risk of partial or complete destruction.
Doomsday scenarios are possible events that could cause human extinction or the destruction of all or most life on Earth (a "true" or "major" Armageddon scenario), or alternatively a "lesser" Armageddon scenario in which the cultural, technological, environmental or social world is so greatly altered it could be considered like a different world.
In the form of a top ten list, a set of doomsday scenarios—disasters that have the capacity to wipe out our species—is examined scientifically. The first part deals with threats to humanity from nature's violent forces. The second part deals with various threats that human society has created. [3] [4]
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Duplicability: unlike human brains, AI software and models can be easily copied. Editability: the parameters and internal workings of an AI model can easily be modified, unlike the connections in a human brain. Memory sharing and learning: AIs may be able to learn from the experiences of other AIs in a manner more efficient than human learning.