Planned Retrogression

I have been teaching computer literacy since the last millennium (since 1997 in layman’s terms), and I am amazed at the volume of innovation that we have seen in those 2+ decades.  I am amazed in two ways:  1) at the progress, and 2) at the lack of progress.  I will not belabor you with a discussion of the progress, since it is all around you.  But I will try to explain my contention that the more things change, the more they stay the same.

Science “Knows” Nothing

The object of the process is to make educated guesses toward future probabilities, and that those educated guesses will still, in an ongoing fashion, be the subject of splitting and clumping.  A knowledge set produced by science is a transitory thing — a mass that is soon to be split and re-clumped.

Learning Machines

We often observe that young children are amazing learning machines, motivated by boundless curiosity.  But we forget that all humans are amazing learning machines, they have just been tampered with by more-or-less well-meaning sticklers.  Walk around the sticklers.

The Fallacy Fallacy Redux

Just because someone argues about a thing by using a logic fallacy does not make the thing itself untrue.  In fact, citing your antagonist’s logic slip, then claiming victory thereby is just another instance of the appeal to authority.  The authority in this case are the tandem of your fallacy guru and your argumentation guru.

Facial Recognition Fantasy

I have no idea how sophisticated FR really is, but I do know that those who propound its magic have no incentive to tell us its limitations.  Just as a car salesman will romance us with purported positives all day long, while neglecting potential flaws, script writers and law enforcement officials have vested interests in our belief in the wonders of science.