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• Artificial intelligence is becoming "powerful" - 1 Update
• About AGI (General AI) and ASI (Super AI).. - 1 Update

Artificial intelligence is becoming "powerful"

Sky89 <Sky89@sky68.com>: Jun 23 10:35PM -0400 Hello,     Artificial intelligence is becoming "powerful" because we are now capable of "general" artificial intelligence, read carefully what follows, it said that:   "Artificial intelligence up to now, including DeepMind's AlphaGo, have been limited to perform well only for a specific task - hence the term 'narrow artificial intelligence.' But researchers are beginning to embrace the arrival of artificial general intelligence, an AI that can perform any task that a human can. In their recent paper, Google DeepMind proposes a method into training AGI by using genetic algorithm."   And:   "So how well does PathNet perform in action? DeepMind's experiments show that PathNet is faster than fine-tuning, and does positively transfer trained knowledge in supervised learning classification tasks and reinforcement learning tasks - successfully addressing the three requirements of an AGI."   Read more here to notice it:   http://www.deepbio.co.kr/2017/03/20/Weekly-paper-DeepMinds-PathNet.html     And read about the following other important step that is Generative Adversarial Network:   What's a Generative Adversarial Network? Leading Researcher Explains   Read more here:   https://blogs.nvidia.com/blog/2017/05/17/generative-adversarial-network/         Thank you, Amine Moulay Ramdane.

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About AGI (General AI) and ASI (Super AI)..

Sky89 <Sky89@sky68.com>: Jun 23 07:42PM -0400 Hello..     About AGI (General AI) and ASI (Super AI)..   Once intelligence is solved, I think it will automatically move past the level of AGI (General AI) into some sort of at least partial ASI (Super AI) immediately as it will have the benefit of the speedup effect (its neurons fire ~1000x faster than those of humans) and the fact that it will be pre-merged with machines and the internet, thus having access to a nearly infinite amount of data both for processing and for learning from.     Thank you, Amine Moulay Ramdane.

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