Electronics & Technology
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Cable television has its roots in the early 1940s, when some communities in
the United States began experimenting with delivering television signals to
areas where over-the-air reception was poor due to distance or topography. These
early systems were known as "community antennas" or "CATV," and they involved
the use of large antennas mounted on hilltops to capture television signals and
distribute them via coaxial cables to subscribers in the surrounding area.
In the 1950s, the growth of the cable industry was driven by the desire of
people living in rural areas to receive television signals that were not
available via broadcast transmission. By the 1960s, cable had become a viable
alternative to broadcast television in many urban areas as well, as cable
providers began offering a wider range of channels and programming options.
The 1970s saw the introduction of satellite technology, which allowed cable
operators to expand their channel offerings and deliver programming from around
the world. The advent of cable networks like HBO and ESPN also helped to drive
the growth of the industry.
In the 1980s and 1990s, cable television became a major player in the media
landscape, with the consolidation of the industry leading to the emergence of
large media conglomerates like Comcast, Time Warner, and Viacom. The growth of
the internet and the emergence of new digital technologies have also had a
significant impact on the cable industry, with many cable providers now offering
high-speed internet and other digital services alongside traditional cable
television.
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Influences on Technology
 While working on an
update to my
RF Cafe Espresso Engineering Workbook project to add a couple calculators
about FM sidebands (available soon). The good news is that AI provided excellent
VBA code to generate a set of
Bessel function plots. The bad news is when I asked for a
table
showing at which modulation indices sidebands 0 (carrier) through 5 vanish,
none of the agents got it right. Some were really bad. The AI agents typically
explain their reason and method correctly, then go on to produces bad results.
Even after pointing out errors, subsequent results are still wrong. I do a
lot of AI work and see this often, even with subscribing to professional
versions. I ultimately generated the table myself. There is going to be a
lot of inaccurate information out there based on unverified AI queries, so
beware.
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