Archive for category Technology

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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The FFT definitively explained by me, a signal processing expert

The Fourier TransformHere’s how to properly explain the fast Fourier transform, or FFT: Okay, it’s a Fourier transform, or FT, right, but while you’re doing it, you fold the buckets and the coefficients like origami, see, yes, basically like a unicorn, so you have to cut the code here, and here, and here so the head will come out right, yes, that’s it, and this code over here, it only runs if the unicorn is facing south, plus, you pull its tail so it makes little unicorn poops,uni and those have to go back into the unicorn’s little feed bin for next time around, because otherwise, the feedbin is too sweet, see, and the buckets are all funny-like and time goes back to being partially frequency. And you don’t want that.

So that’s it, yeah, and I’ll need your code example by tomorrow morning. Class dismissed.

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Real Change is Coming

We are facing a brand-new set of oncoming challenges. There’s never been a situation previously where a significant (and likely unlimited and continuously, and rapidly, growing) wave of higher-qualified workers who did not require wages entered the workforce.


I discuss LDNLS vs. AI over in this other post. These things are affecting the job market now. There’s no remaining time to feel or act complacent.

Increasingly sophisticated LDNLS Workers that never cheat, never steal, are never late, very rarely “sick”, have no unions, no wages, no insurance, no internecine or even trivial conflict, don’t get pregnant, who never have to stay home with sick kids or spouse, don’t need or want a cafeteria, a gym, breaks, a lunch hour, tips, or stock options; are unfailingly polite, even sympathetic, immune to office romance, gossip, corporate espionage, complaints of mistreatment; have no interest in and do not require promotion, will never misuse company time, and are replaceable the very moment something more effective is available without any consequences to social security charges, unemployment tithing, legal costs, or need for security personnel to walk the previous “employee” to the door.
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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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Some OS X DHCP Esoterica

Because I develop Software Defined Radio (SDR) software, I have occasion to connect, and disconnect, various network devices to my wired network in order to test them all day long. Most of the SDRs are designed to configure using DHCP, or can be convinced to do so. That saves some fooling around, and is a good thing. However, my network is extensive, devices are always being moved around, WiFi devices arriving and leaving, and so once the SDRs are assigned an IP, I have to go hunt them down. It was annoying that they’re always showing up somewhere different.

However, my Mac Pro had an unused second ethernet port sitting. right. there. Hmmm. So…
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Why I Target OS X 10.6.8

OS X has come a long way since OS X 10.6.8; among the pluses: better multiple monitor handling, considerably improved memory management (part of which was fixing the leaks in the color management pipeline that OS X 10.6.8 exhibits) repairs to the bugs in 10.6.8′s CUPS printing system, and so on.

So why, then, target OS X 10.6.8?
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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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