Tag Archives: ai

On Intelligence: A Theory of Thinking

On Intelligence is a book written by Jeff Hawkins[1] on the nature of intelligence, both artificial and natural. It’s an expansion of and answer to an age-old question I’ve referred to before: how do we think? What does it mean to be intelligent? What is consciousness? Might it be possible to create an intelligent machine? And if we could–what would that mean for society? In this essay I’ll attempt to describe his theory, its motivations, and how it can be a powerful and useful tool in any field–even if you’re not very interested in AI.
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Are We too Harsh on AI?

The search for true AI has been a long, slow, and bumpy one, and the more years pass it seems the slower progress has become. And yet, maybe we are being too harsh on our computers.  We expect our AIs to know everything, to do everything, perfectly, as soon as they are switched on.  Isn’t that a little unfair?  More importantly, isn’t it a little misguided?  In our search for the “perfect solution”, are we actively discouraging approaches that could lead us to machines that are truly intelligent?  Humans, after all, are neither perfect nor omniscient, nor are we born knowing everything.  In fact we are born knowing very little: most of the qualities of human intelligence that make it a desirable thing to replicate–such as language, creativity, and perception–are things we have to learn how to do, not things we are born with.  There is even evidence that such fundamental aspects of perception as object permanence and visual closure must be learned! Continue reading

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