- Ben Goertzel on artificial intelligence - 1 Update
Horizon68 <horizon@horizon.com>: Oct 21 12:24PM -0700 Hello, Read this: I just read what wrote Ben Goertzel on artificial intelligence, he wrote the following: "My own intuition is that the shortest path to AGI will be to use deep neural nets for what they're best at and to hybridize them with more abstract AI methods like logic systems, in order to handle more advanced aspects of human-like cognition." That's good to know. And he wrote also this: "In the 15 years since I first introduced the term "artificial general intelligence" (AGI), the AI field has advanced tremendously. We now have self-driving cars, automated face recognition and image captioning, machine translation and expert AI game-players, and so much more. However, these achievements remain essentially in the domain of "narrow AI"" Read more here: https://singularityhub.com/2018/07/22/from-here-to-human-level-artificial-general-intelligence-in-four-not-all-that-simple-steps/ I think he is not correct to say that it is still narrow intelligence, read my following writing to understand better why: 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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