GAP 20m Monogap Vertical Dipole Review

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I’ve been setting up a small trailer for use as a mobile, independently powered radio station for use at HF and VHF. To that end, it has its own deployable solar panels, internal power storage, and dedicated power conversion electronics. There are quite a few 12.6 VDC VHF and HF radios out there, and I own several, so the radios are less of a problem than a situation where I have to make some kind of fun decision between multiple good options.

VHF antennas are no problem. But the HF antenna… There’s the rub. If it’s to be truly portable, that means it cannot be large, and it will not be high in the air. Those are very significant drawbacks for most antenna systems; they directly impact both receive and transmit performace. So I went hunting. Eventually, I happened upon the Monogap 20 meter antenna, which is a vertical dipole; easily portable within the frame of reference of what can be safely transported in the bed of my pickup, light, easily mounted and unmounted, inexpensive, and — as it turns out — a surprisingly good performer.
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ICOM IC 7300 Transceiver Review

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The

IC-7300

IC-7300

ICOM IC 7300 marks an important inflection point for the “big three” amateur radio manufacturers: The beginning of true software-defined RF processing from one end to the other.

As the first full SDR transceiver from “the big guys”, it is interesting to consider the price point, feature set, and performance both in light of the legacy analog designs, and as compared to what SDRs are known to be capable of.
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AI vs. LDNLS

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Low Dimensional Neural-Like Solutions — LDNLS. LDNLS is epitomized by NN (Neural Net) and/or algorithmic solutions that 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?

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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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SdrDx 2.16a for OS X and Windows

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Here we go:
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Some OS X DHCP Esoterica

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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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Trump Will Not Win

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Trump has no chance at all of winning the presidency.

 

Not as a Republican, and not as an Independent. I will explain why in detail. It won’t take long.
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Why I Target OS X 10.6.8

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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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