Abstract

In the current discussions about “artificial intelligence” (AI) and “singularity”, both labels are used with several very different senses, and the confusion among these senses is the root of many disagreements. Similarly, although “artificial general intelligence” (AGI) has become a widely used term in the related discussions, many people are not really familiar with this research, including its aim and status. We analyze these notions, and introduce the results of our own AGI research. Our main conclusions are that: (1) it is possible to build a computer system that follows the same laws of thought and shows similar properties as the human mind, but, since such an AGI will have neither a human body nor human experience, it will not behave exactly like a human, nor will it be “smarter than a human” on all tasks; and (2) since the development of an AGI requires a reasonably good understanding of the general mechanism of intelligence, the system’s behaviors will still be understandable and predictable in principle. Therefore, the success of AGI will not necessarily lead to a singularity beyond which the future becomes completely incomprehensible and uncontrollable.

Highlights

  • Driven by the remarkable achievements of deep learning, it becomes a hot topic again to debate whether computers can be smarter than humans

  • We only introduce the emotional mechanism in NARS, which is explained in detail in [33]

  • We summarize our opinions on artificial intelligence” (AI), artificial general intelligence” (AGI), and singularity, and use our own AGI

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Summary

Introduction

Driven by the remarkable achievements of deep learning, it becomes a hot topic again to debate whether computers can be smarter than humans. We agree with the authors of the leading article [1] that the recent achievements of deep learning are still far from showing that the related techniques can give us AGI or singularity; we believe AGI can be achieved via paths outside the vision of mainstream AI researchers, as well as that of its critics. This conception of AGI is fundamentally different from that of the current mainstream conception of AI. As for “singularity”, we consider it an ill-conceived notion, as it is based on an improper conception of intelligence

Different Types of AI
Presumptions of Singularity
What an AGI Can Do
NARS Overview
Properties of NARS
Conclusions
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