Posts Tagged artificial

On the likely inevitability of AI and AC

We can (if we are honest) observe that progress, and the potential it unleashes in many cases, is not all that closely linked with what’s commercially available or common around the time of the fundamental invention. In the first decade after lasers were invented, for instance, there was no significant commercial application. When the integrated circuit was invented, it wasn’t much to look at and functionally speaking, for decades, it was outright pitiful compared to ICs today. We’re still dealing with developing a full understanding of how neurons do what they do. In laser parlance, in 2017 we are yet pre-laser, and in my opinion, anyone who tries to tell us that lasers, figuratively speaking, can’t do X at this point should be considered, at most, a hand-waver in the grips of a fit of profound hubris.
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Low Dimensional Neural-Like Solutions — LDNLS. LDNLS is epitomized by NN (Neural Net) and/or algorithmic solutions which solve only extremely narrow, but often deep, problems such as play go; guide a vehicle in well-constrained environments; play chess; recognize speech; colorize images and so on. I coined the terminology LDNLS specifically to serve as a way to draw a very specific, very important distinction that illustrates what intelligence is not.
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AI – Just how close are we in 2016?

Many like to try to guess at how long it will take to develop artificial intelligence. Like many in the field, I have my own ideas about it. I don’t think guesses that look at evolution as found in nature in order to apply those time scales to our own efforts are worthy. What follows is why I think that is the case.

Here’s the thing. Evolution in the sense most are familiar with it is basically a biological hardware development process. It took a long time for nature to produce the right computing hardware using that process. In the current “version” of humanity, consciousness arises automatically upon input and organization of enough data. That’s very good hardware from the perspective of consciousness or no consciousness.

With computer hardware, however, the odds are excellent that the hardware is already more than sufficient. If that’s the case, then we’re just dealing with one last step, which is strictly based on varying software.
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Is AI, or Artificial Intelligence, a meaningless term?

Several times now I have been confronted with the proposition that AI — artificial intelligence — is so squishy a word that we just can’t say what it means. The implication apparently being that it can be legitimately used for just about anything. I disagree. Strongly. While there may be room for plenty of “squishyness” on this road, the problem right now is that no one has even gotten on the road.
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Consciousness: on the Nature of the Inherently Inexplicable

In this essay I will describe my take on what consciousness is, and by process of elimination, what it is not. To further an understanding of my ideas on the matter, I’m going to briefly describe the nature of some software to you. It is not artificial intelligence software. Even so, there is a notable, relevant thing that happens to the user’s perception of this software when it is being executed by a computer. I very strongly suspect that this parallel points precisely to the absolute nature of consciousness.
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Inefficiencies of modern HLLs and implications for AI

On this new years day, I was relaxing a bit, pondering (with some glee) how large, clunky and slow a “modern” application (ca. 2008) was that did less than an older application (ca. 1997) I own, which I happen to know (because I was there) was written in C. I presume, like most clunky, slow, and bloated apps, that the “modern” app was written in C++, Java, or some similar modern HLL.

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