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I want to show you something.

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It’s this radio.

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It’s pretty cool looking, right? I use it pretty often.

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Now, here’s a fun little challenge for you:

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Tell me the model number, what year this radio was made, 
what vacuum tubes are inside of it,

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and&nbsp;find its schematic diagram for me so I can order new capacitors for it.

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Go on.

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If that seems like&nbsp;a difficult task - it’s very much not.

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So long as you can see this image, you have everything you&nbsp;need on your screen 
right now to get all that information and much more in less than a minute.

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That is, if you know where and how to look.

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Now, I’m gonna show you where and how to look&nbsp;in just a moment

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but first I should note that this is no doubt going to be the most crotchety,&nbsp;
old-man-yells-at-cloud video I’ve ever released and I won’t hide from that.

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Another thing I won’t&nbsp;hide from is the fact that this is largely an opinion piece.

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If that doesn’t sound like your&nbsp;jam, 
please feel free to watch any of the other videos on this here website.

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But if you’ll indulge&nbsp;me - that’s actually a large part of what this video is about.

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It’s about the modern internet&nbsp;
and how I think it’s caused a lot of folks to stop looking for things.

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I’ll explain what I mean later&nbsp;
but first let’s figure out what that radio is.

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So - all we’ve got is a picture.

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But I promise you&nbsp;don’t need any fancy image recognition tools to find this radio.

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All it takes is noticing a few&nbsp;of its details.

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The radio is branded “Silvertone” and the tuning dial has two sets of numbers,&nbsp;
one labeled “standard broadcast” and the other labeled “ffsomething modulation.”

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The first word&nbsp;is partially obscured by the dial’s pointer but it’s likely frequency.

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You probably know that&nbsp;frequency modulation is what FM is short for, 
and this is clearly an old radio.

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So it’s some&nbsp;kind of old FM radio made by Silvertone.

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How can we identify which one?

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Well, let’s see if&nbsp;we can pick it out from a Google Image search.

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A lot of people would call this a vintage radio&nbsp;
so we’ll look for “vintage silvertone FM radio”

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There are lots of pictures of cool old radios&nbsp;
here but look at that - it’s the very same one.

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And with a click on it we’ll see the image&nbsp;description 
which tells us this is a Silvertone Model 18.

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Wonderful! Now that we have its model&nbsp;number, we can get more details.

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I wanted the radio’s schematic diagram, so let’s do a web&nbsp;
search for "silvertone model 18 schematic."

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The first link is to a website called radiomuseum.org&nbsp;-
that looks pretty promising!

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Click through and there’s another picture of the same radio, 
so we&nbsp;have confirmation that this is indeed a Silvertone Model 18.

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And right on this page we find it&nbsp;was produced between 1950 and 1954,

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plus we have a list of its 8 vacuum tubes.

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And of course&nbsp;there is the schematic available for download,

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though it can also be found on other websites.

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Keeping this information available online is a serious undertaking and I applaud the people&nbsp;who dedicate themselves to maintaining active databases like this

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(as well as those doing the&nbsp;work to back it all up. Especially right now).

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The point of that little exercise was…

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well,&nbsp;exercise!

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What we just did is nothing short of a human superpower.

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From just an image&nbsp;of an old radio you can find out a lot of information 
using simple search tools and your own&nbsp;observations.

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And if you’re just a little curious, you can keep going.

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Did you notice that the&nbsp;manufacturer was Sears, Roebuck &amp; Co.?

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Yeah, that Sears.

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The one that built the tower I see&nbsp;everyday, weather permitting.

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They made a lot of stuff in-house back in the day, 
and Silvertone&nbsp;was their brand of electronics and also musical instruments.

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This brown mid-century beauty was one&nbsp;of their radio receivers.

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And if you don’t know anything about antique radios and vacuum tubes and&nbsp;why these old things usually need new capacitors, you can also find all that out!

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A search for&nbsp;“replacing capacitors antique radios” brings you to this lovely website,

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a much more useful&nbsp;resource than whatever AI nonsense Google is synthesizing

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because that’s apparently what search&nbsp;engines 
are supposed to be now for some reason.

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Ope, there’s the old man yelling at clouds.

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Told ya.

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I am sure a lot of you knew how useful 
the information in that image was&nbsp;and how you could use it to find the radio,

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and to those of you who did this video&nbsp;probably seems incredibly unremarkable so far.

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But I believe quite strongly now that&nbsp;this is a skill which as time marches on people are forgetting they have and thus don’t&nbsp;think to use even when it could help them.&nbsp;&nbsp;

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I want to reiterate the language I just used&nbsp;there:

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I am not saying people don’t know how to do this - anyone can do this, 
and hopefully you&nbsp;learned how in school.

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It’s pretty basic research.

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What I am saying is that it appears as though an&nbsp;increasing number of people seem to operate in the world without realizing these are things they&nbsp;can do themselves.

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And that really concerns me.

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Now I’ve spent enough time on forums to know about “let me google that&nbsp;for you” -

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a snarky response to people who ask easy-to-answer-with-a-web search questions.

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I was&nbsp;even on the receiving end of that once.

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But that’s not quite what I want to talk about.

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I want to&nbsp;talk about how we decide 
what we want to see, watch, and do on the internet.

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Because, well,&nbsp;I’m not sure we realize just how infrequently 
we’re actually deciding for ourselves these&nbsp;days.

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That’s right, this is video about the problems of 
recommendation algorithms on social&nbsp;media and the internet at large.

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But I’m not gonna be focusing much on what exactly those&nbsp;algorithms do.
I think we all know by now.

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Instead I’m going to be focusing on something&nbsp;which feels new and troubling.

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I’m starting to see evidence that an increasing number&nbsp;of folks actually prefer to let a computer program decide what they will see when they log&nbsp;on,

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even when they know they have alternatives.

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Since this feels like a new phenomenon, I felt it&nbsp;needed a name.

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I’ve chosen to call it “algorithmic complacency.”

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Now, I recognize that I am stepping&nbsp;into a discussion 
that many many people have had

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and so I don’t want to claim that this is an&nbsp;original thought or even an original term.

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But as I’ve worked to define and articulate it, I’ve come&nbsp;
to believe that it’s a serious problem that needs our immediate attention.

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Succumbing to algorithmic&nbsp;complacency 
means you’re surrendering your own agency in ways you may not realize.

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And as the&nbsp;internet and real life continue to blend together, that can end very badly.

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Since I believe there’s&nbsp;significant gravity to this topic, 
I want to present a convincing argument to you.

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And that&nbsp;requires that we first look backward in time.

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Think for a moment about what your experience&nbsp;on the internet is like these days and, 
if you’re old enough, how it differs from a&nbsp;couple of decades ago.

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The internet used to only exist through a web browser on a desktop&nbsp;computer.

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Maybe a laptop if you’re fancy.

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[dial tone and dialing in background] 
And your computer had to pretend to be a telephone 
and&nbsp;shriek at other computers through a phone line

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just to transmit and receive data at blazing&nbsp;slow speeds.

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It was a dark time.

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Back then, Google was just a happy little search&nbsp;
engine which helped you find websites,

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and when you found a cool website which you&nbsp;liked 
you’d use your web browser to bookmark that website.

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That would make sure you could&nbsp;get back to it later 
without having to search for it again.

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Like writing a note to yourself.

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In other words, the internet was still very manual and you were in charge of navigating&nbsp;it and curating your own experience with it.

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That also meant the internet didn’t do anything&nbsp;until you asked it to do something.

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You might set your browser’s homepage to your local newspaper’s
website so you could get a bit of a news update each time you logged on

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but other than that,&nbsp;information didn’t just come to you.

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Finding news, products, and information on the internet&nbsp;was entirely up to you.

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You had the world’s information at your fingertips, 
but you needed&nbsp;to use your fingertips and your brain to get to it.

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And it was also up to you to gauge the&nbsp;
trustworthiness and reliability of the information you found.

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If you’re over the age of 30 you&nbsp;probably remember what this was like.

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Overtime, though, things have steadily become a lot more&nbsp;automated.

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And also a lot more in-your-face.

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Many people these days experience the internet&nbsp;
primarily through their smartphones and mobile apps

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in a neatly-packaged ecosystem created and&nbsp;curated by giant tech corporations.

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Even though those apps are often just bespoke web browsers that only take you to a very specific website and keep your traffic inside a walled garden

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while also collecting lots of data about where you go and what you do,

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they still represent&nbsp;a radical shift 
in how we use and experience the internet as a resource.

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Platforms became&nbsp;the new name of the game.

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We’re not surfing the web 
and looking for cool and useful things&nbsp;anymore, we’re hanging out on platforms.

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Like, well, this one.

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We’re so used to this now that&nbsp;we imagine apps 
less as a piece of software which enables connection to people and information

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and more of a place where we spend time.

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Internet historians remind us that this is not our&nbsp;first rodeo.
We escaped the walled garden that was AOL, after all.

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But I think most would agree&nbsp;
that today’s internet is distinctly different and intense.

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It has become so integral to our lives&nbsp;
that it’s shaping how we view the world and how we operate within it.

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And most troublingly, we&nbsp;are largely no longer in control of what we see.

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Recommendation algorithms end up putting content&nbsp;in front of our eyes 
using methods almost nobody really understands

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(but probably have something&nbsp;to do with maximizing revenues) and,

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well, I think it’s breaking our brains.

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When you have that&nbsp;finely-tuned, algorithmically-tailored
firehose of information just coming at you like that,

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you might feel like you’re having a good time and learning some interesting things,

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but you’re&nbsp;not necessarily directing your own experience, are you?

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Is your train of thought really&nbsp;your own when the next swipe might derail it?

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Now, I am by no means the first person to&nbsp;ask that question.

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And, full disclosure, I make my living finding information, 
packaging&nbsp;it into videos which I hope are entertaining and insightful,

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and putting them online for people&nbsp;to hopefully stumble across 
when the YouTube algorithm recommends it to them.

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So I recognize&nbsp;the awkwardness of this particular person 
talking about this particular thing on this particular&nbsp;platform.

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But here’s what I think might be new, or at least under-discussed:

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I am seeing mounting&nbsp;evidence that an increasing number of people 
are so used to algorithmically-generated feeds

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that&nbsp;they no longer care to have a self-directed experience that they are in control of.

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The&nbsp;more time I spend interacting with folks online, the more it feels like 
large swaths of&nbsp;people have forgotten to exercise their&nbsp;own agency.

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That is what I mean by algorithmic&nbsp;complacency.

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More and more people don’t seem to know or care how to view the world without&nbsp;a computer algorithm guiding what they see.

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That’s a pretty bold claim I just made, and that’s&nbsp;gonna require evidence.

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I will say up front that my evidence is not scientific, 
so set your&nbsp;expectations accordingly.

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I do have data for one particular thing but I want to talk about that&nbsp;second.

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First, I want to talk about my experiences 
on new forms of social media and how that has&nbsp;informed this argument.

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I have long given up on “traditional?” social media

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but I’ve been indulging&nbsp;in some of the alternatives like Mastodon and, lately, Bluesky.

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I’m not trying to sell you&nbsp;on using them, to be clear,

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but both of those platforms are far more manual 
than anything the&nbsp;likes of Meta or Twitter might have spun up.

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I think this is great and quite refreshing!

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I follow accounts that I’m interested in, and I never have to worry 
about whether an&nbsp;algorithm won’t show me their posts.

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I still discover new accounts all the time, but through&nbsp;
stuff the ones I’m following have shared.

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That’s a much more human experience than 
letting&nbsp;an algorithm decide to put stuff in front of my eyeballs

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because it will keep me engaged&nbsp;and increase user time on platform.

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It’s also a much more social experience.

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Yet to a lot of&nbsp;new users that are migrating to these platforms, 
the need to curate your own experience is very&nbsp;frustrating.

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Several of whom have told me this directly 
and even said they’d prefer not&nbsp;to have to put any work into social media.

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Now, I must admit that sentiment alone concerns&nbsp;me.

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I’m one of those weirdos who think 
the most rewarding things in life take effort,

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at least&nbsp;outside November,

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so I would not expect to just walk into a new place 
and have a good time without&nbsp;doing a little ol’ fashioned exploring.

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However, I can sympathize with it.

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For one, I have to&nbsp;recognize that I’m a popular YouTuber 
and I can just show up somewhere, say “hey guys”

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and&nbsp;expect a lot of people to start following me very quickly, 
and that helped re-establish&nbsp;connections I formed in other places.

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That’s a privilege I have and skews my perspective a&nbsp;lot, 
which is only fair that I acknowledge.

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My experience online is not normal.

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But observing&nbsp;Bluesky grow from an extremely niche platform 
to a still-niche-but-quickly-growing one

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has&nbsp;presented a very interesting case study which I feel compelled to share.

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Bluesky, for those who&nbsp;don’t know, allows for the creation of custom feeds.

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That’s one of its central features which&nbsp;is really cool!

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But baked-into it as a default 
when you create an account are two feeds with&nbsp;different purposes:

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Following and Discover.

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The Following feed is a reverse-chronological feed&nbsp;
of the posts from accounts you follow.

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Exactly how Twitter used to work.

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But the Discover feed is&nbsp;algorithmic,
like those “for you” pages everyone keeps going on about.

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On Bluesky it’s a pretty&nbsp;basic algorithm,

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but its job is to pick posts from accounts across the platform 
and essentially&nbsp;promote them so people can find new accounts to follow.

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It’s by no means a bad idea to have&nbsp;that feature!

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But as someone with a pretty large following on Bluesky now,

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I can tell the instant a&nbsp;post of mine 
ends up on the discover feed because the replies get real weird real fast.

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What was&nbsp;previously a post with a nice discussion going on underneath between myself and various people&nbsp;who know who I am and what I mean when I say words

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becomes littered with strange, out-of-context,&nbsp;often antagonistic replies

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as if the only possible response to seeing a post of any kind online 
is to&nbsp;loudly perform a challenge against it.

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Now, some of these are bots, a known problem on Bluesky.

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But through forming a habit where I check profiles before replying 
to see if they show signs of&nbsp;being a bot, it’s clear that a lot of them are not.

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They’re people who just start talking&nbsp;with absolutely no idea who they’re talking to and with no desire to figure out the context&nbsp;of the discussion before they write their reply.

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This may feel like I’m veering&nbsp;off track a bit 
or just complaining about people,&nbsp;which is fun,

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but this is less about calling out the behavior of individuals 
and more about&nbsp;recognizing the incentives which promote that&nbsp;behavior.

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Algorithmic feeds on social media are&nbsp;unfortunately quite good 
at fostering something known as context collapse.

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To understand this,&nbsp;imagine you’re dining in a restaurant and you’re close enough to a table of people to hear snippets&nbsp;of their conversation.

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You don’t know who any of the people at that table are,

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but if you manage to&nbsp;overhear them talk about something 
you’re really interested in you might feel tempted to join their&nbsp;conversation.

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But in the context of a restaurant setting, 
that’s considered very rude so it rarely&nbsp;ever happens.

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On social media, though, the same kinds of quasi-private conversations between&nbsp;parties who know each other are happening all&nbsp;the time,

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but since the platform is just one big&nbsp;space and it might decide to put that conversation in front of random people,

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that social boundary&nbsp;of etiquette which is normally respected is just not there.

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And lots of conflicts happen as a&nbsp;result.

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A really common one you might accidentally step into on social media

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happens when you&nbsp;stumble across a conversation 
among friends making sarcastic jokes with each other

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but since&nbsp;you don’t know who those people are 
you don’t have the context you need to recognize they’re&nbsp;joking.

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And so, if you reply with a serious critique, 
well that’s a social misfire which some will&nbsp;react poorly to.

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And that’s a pretty mild form of context collapse.

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It can be much, much worse&nbsp;when people want to discuss things like politics.

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And unless we realize recommendation algorithms&nbsp;
are what’s fostering these reactionary conflicts,

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they’re going to continue so long as we&nbsp;
use platforms in the ways that we do.

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It's for all these reasons that I believe algorithmic complacency 
is creating a&nbsp;crisis of both curiosity and human connection.&nbsp;&nbsp;

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I would even go so far as to say it’s&nbsp;
fostering lots of other disturbing things,&nbsp;too.

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Ever notice how a lot of folks these days&nbsp;need to have a simple

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“good or bad,”

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“black or white,”

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“best or worst” understanding of a topic&nbsp;or issue?

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It seems to me like algorithms which promote content 
through a simple lens of&nbsp;positive or negative engagement

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would reinforce those binaries and contribute to polarization.

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And as people learn about new products 
through the slot machine of social media feeds,

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they can develop&nbsp;a learned helplessness 
where they will wait to be sold on a solution for their problems

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rather&nbsp;than be introspective and explore what their problems actually are and how they might be able&nbsp;to come up with their own solutions which don’t cost any money.

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Introspection will reveal a lot of&nbsp;the problems you think you have 
are being put in your head by influencers -

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you weren’t unhappy&nbsp;until they told you you should be.

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And, well, I can think of lots of other stuff 
which has&nbsp;disturbed me for quite a while

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but is now past the point I can ignore 
as a quirky consequence&nbsp;of connecting large numbers of humans together.

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Social media algorithms don’t nurture human&nbsp;connection - they exploit it.

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And we’re so used to this reality now that I’m not sure 
many of us care&nbsp;to get off this train.

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But I think we should.

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So now, let’s talk about YouTube!

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I’m sure a&nbsp;good number of you have thought “this is pretty rich comin’ from a guy who makes his living on&nbsp;a platform which does all these things.”

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Well, there’s a funny thing about YouTube.

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Its recommendation algorithm is entirely optional.

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You know that, right?

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You… you do&nbsp;know that, right?

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There’s this feature on this website that has been here pretty much&nbsp;
since it became a thing and it’s called the subscriptions feed.

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It’s not hiding, it’s at the&nbsp;bottom of the mobile app 
and on the sidebar of the desktop site.

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In fact it's got its own URL and&nbsp;if you’re feeling old-school you can bookmark it!

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This is a completely manually-curated feed which&nbsp;has nothing in it but the videos

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(and shorts, for better and worse) 
from the creators you&nbsp;have chosen to subscribe to.

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That means it’s entirely in your control.

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This feed has&nbsp;been in plain sight the whole time and, 
here’s why I am using the term algorithmic&nbsp;complacency,

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nobody cares to use it.

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And that I can back up with hard data.

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YouTube&nbsp;gives us a shocking amount 
of information regarding audience metrics and in 2024,

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less than three percent of this channel’s views came from the subscriptions feed.

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Almost&nbsp;nobody is using this feature

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and yet it’s the most reliable way to keep track of the things&nbsp;you have explicitly decided you want to watch through hitting the subscribe button.

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The fact&nbsp;that it’s easy to get to, has existed in plain sight 
almost since this platform was born, yet&nbsp;almost nobody is using it anymore is…

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puzzling.

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I want to stress my use of the word puzzling.

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It’s not my intent to be judgmental here and I’m sorry if it has sounded like that.

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Different people use websites differently 
and the main “home” feed on YouTube,&nbsp;which functions like a “for-you” page,

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usually does a good job of surfacing new videos&nbsp;from creators you like.

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Subscribing to a channel is a signal to the recommendation algorithm&nbsp;
to boost that channel’s videos in your home feed.

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And it’s not like that algorithm has&nbsp;no value - 
there are some creators I’m not even subscribed to

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yet I see most of their&nbsp;new videos since the algorithm has figured out I keep watching them so I must want to&nbsp;see the new ones, and it puts them in my home feed.

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Through that feed I’ve also stumbled&nbsp;across countless new channels and have been reminded of videos I watched years ago and will&nbsp;happily watch again.

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Plus of course, I have found so much cool stuff through the recommended&nbsp;videos that appear alongside whatever I happen&nbsp;to be watching.

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I’m glad YouTube does that.

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Wait, nuance?

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On the internet?

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That’s illegal!

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In the interest of time I’ve removed a big section&nbsp;on the flaws 
with the subs feed and how I think YouTube should address them

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(mainly - please&nbsp;let us remove shorts if we aren’t interested in them

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and please lets us organize the subs feed a&nbsp;little bit 
so creators who upload a lot don’t end up cluttering it.

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Maybe condense their daily&nbsp;activity into a single tile 
which we can then click on and expand. Just a thought).

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But the&nbsp;reason I wanted to talk about it

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is that it feels indicative of a growing disinclination&nbsp;to grab the reins of the internet and be the person steering your own experience.

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That’s really what bothers me.

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There has to be a balance between cool stuff you&nbsp;
stumble upon and stuff that you’re actually interested in and matters to you.

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Algorithmic&nbsp;complacency, if not noticed and acted upon,

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means you’re allowing other people who are not you&nbsp;
to decide what matters to you.

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I should not have to spell out why that’s dangerous so I won’t.

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But&nbsp;I will spell out that it’s very easy for people who wish to weaponize this reality to craft a&nbsp;narrative which is not overtly obvious and so might slip past your defenses.

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If you can reduce&nbsp;the presence of 
algorithmically-curated feeds in your life, you’ll be less susceptible&nbsp;to that.

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And if you build up your own network of people and resources you trust,&nbsp;
you’ll know when you’re being bullshitted.

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And in case you haven’t noticed, people&nbsp;are trying to bullshit us all the time now!

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And algorithmic feeds make this worse.

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They&nbsp;don’t just exist on YouTube and social media, they exist in popular news aggregator apps and&nbsp;that’s meant a lot of really stupid articles keep floating around

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because all that matters to&nbsp;many institutions 
which make news these days is clicks and ad money.

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Look at this stupid thing&nbsp;which ended up in the Google News app.

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"The end of Walmart and Target in the US - 
A new retailer&nbsp;appears and is much cheaper."

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I know what an Aldi looks like.

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That’s a picture of the inside of an&nbsp;Aldi.

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And, uh, if you’ve somehow not heard of Aldi or stepped inside one 
that doesn’t mean Aldi is&nbsp;a new retailer which just appeared.

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This article is a waste of time 
for the vast majority of&nbsp;people who might be tricked into clicking on it.

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You may have noticed that the publisher&nbsp;of that article was 
El Diario 24 which, as far as I can tell, might actually be a fake&nbsp;news source.

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How did it get in Google News?

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That’s a great question for Google.

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But even mainstream&nbsp;publications 
have gone wildly off the rails as they chase metrics rather than the truth.

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The New&nbsp;York Times of 2025 is publishing opinion pieces

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where bloviating morons go through the fun little&nbsp;exercise of what the political ramifications of turning Canada into the 51st state would be for&nbsp;Democrats.

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Folks, since they can’t say this 
in plain language for some reason, I guess it’s up to&nbsp;me.

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Canada is a sovereign nation.

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It’s a foreign country which has the right to self-determination.

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The United States cannot simply turn Canada into a US state -

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Canadians have clearly indicated&nbsp;they do not want that,

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which means for us to force the issue 
would be to declare war with&nbsp;Canada and invade.

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No sane person should want that

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and it’s a shameful embarrassment that the&nbsp;New York Times would even entertain this as a possibility and legitimize the awful, inevitably&nbsp;bloody idea.

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How on Earth did we get here?

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I can tell you how I think we got here:

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big news publications have become just as dependent on algorithms 
to find their readers as&nbsp;their readers are to find the news.

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Which means they’re more concerned with being enticing&nbsp;than being honest.

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Which is a damn shame.

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OK, reel it in.

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[breathes]

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Reel it in.

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I’m about&nbsp;to wrap up this video but before I do, 
I want to explore one more related but different&nbsp;angle.

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I struggled with whether I wanted to call this phenomenon 
algorithmic complacency or&nbsp;automation complacency.

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The reason I struggled is that there isn’t a clear distinction between those&nbsp;two things.

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Algorithms are a kind of automation, so you could say everything I’ve been talking&nbsp;about is the result of automatically-curated feeds

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and the video wouldn’t change.

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But&nbsp;automation in itself is not necessarily bad.

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Lots of menial labor tasks have been&nbsp;replaced by automation 
and this has largely been a great thing.

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The actually-important&nbsp;word in this discussion is curated.

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It’s one thing to automate, say, an elevator.

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Or an inventory system.

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Or a telephone switchboard.

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But it’s a very different thing&nbsp;to automate what information people see.

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There are situations where that sort of automation is necessary.

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There’s an ever-increasing amount&nbsp;
of information being stored online,

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so when you’re looking for something specific amongst that sea of&nbsp;information, keywords by themselves aren't enough.

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The demonstration we did at the beginning

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relied&nbsp;on Google’s search algorithm determining context from the keywords we gave it so it could sort&nbsp;everything it found by relevance to that inferred context.

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And it’s usually really good at that,&nbsp;as we saw.

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But it’s not always.

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I’m sure by now you’ve had the really frustrating experience&nbsp;
of Google latching onto the wrong context and producing a lot of irrelevant results,

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and it&nbsp;can be extremely tedious to refocus the algorithm on the correct context.

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This happens a lot when&nbsp;search queries include a word with many homonyms.

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But we’re rapidly moving away from a paradigm in&nbsp;
which search queries present a list of sources for us to look at, cite and verify,

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and are now being&nbsp;pressured into a new reality

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where large language models synthesize responses to queries 
which&nbsp;are statistically likely to produce a useful output

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but which do not provide us with sources&nbsp;of verifiable information -

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or at least obfuscate them to the point
that many people are not going to&nbsp;check them.

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I don’t think enough of us have put much thought into what that means.

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It means we’re&nbsp;careening towards a future 
where people just trust computers to do their thinking for them.

326
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And the&nbsp;thing is, we already know that’s often a bad idea.

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00:30:03,691 --> 00:30:08,804
Take, for example, how we navigate the&nbsp;actual physical world.

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If you drive a car, I am certain that by now you’ve used some kind&nbsp;of 
GPS-navigation app to figure out how to get places.

329
00:30:16,295 --> 00:30:21,411
I do, too, don’t think I’m about to&nbsp;say 
"oh we should go back to paper maps."

330
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Gross.

331
00:30:22,795 --> 00:30:30,195
But when you use a mapping app to navigate&nbsp;somewhere, 
how often are you prioritizing the fastest route?

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You probably have that set&nbsp;up as the default, don’t you?

333
00:30:33,298 --> 00:30:35,175
I do.

334
00:30:35,175 --> 00:30:41,936
But do you ever question whether that is actually the&nbsp;
most logical way to get somewhere?

335
00:30:41,936 --> 00:30:49,772
It often isn’t because arrival time is only one of many,&nbsp;
many variables which might be important to you.

336
00:30:49,772 --> 00:30:53,443
If I ask Google Maps to take me from my home to&nbsp;my office,

337
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it is going to suggest a route which first requires going the wrong way 
to then hop on&nbsp;a tollway on which I have to pay a roughly $1 toll

338
00:31:02,393 --> 00:31:08,658
and have to overshoot my destination to hop on&nbsp;a second expressway and backtrack.

339
00:31:08,658 --> 00:31:17,501
That suggested route requires an extra 4 miles of travel and&nbsp;
an extra $1 each way all to save me exactly

340
00:31:17,501 --> 00:31:23,428
one minute over taking much more direct state routes&nbsp;and surface streets.

341
00:31:23,428 --> 00:31:26,170
If I mindlessly did what Google suggested,

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over a year I’d put an extra&nbsp;2,000 miles on my car and spend an extra $500 on tolls 
just to save not even one full work day of&nbsp;time.

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00:31:38,085 --> 00:31:44,118
Google is suggesting a terrible route just because it’s one minute faster.

344
00:31:44,118 --> 00:31:50,414
The only reason I&nbsp;know it’s a terrible route is because 
I live here and I know what it’s suggesting is asinine,

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but&nbsp;when I don’t know where I’m going I trust it to make the best decision.

346
00:31:55,893 --> 00:31:59,626
But we don’t necessarily&nbsp;agree on what is best.

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00:31:59,626 --> 00:32:01,523
That’s the problem.

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00:32:01,600 --> 00:32:06,514
Side-note, the other bad thing about taking the&nbsp;tollway is that when I do,

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I don’t get to see my neighbors and what they’re up to.

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00:32:10,162 --> 00:32:13,643
I actually really enjoy driving&nbsp;through town,

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seeing new businesses as they pop up,

352
00:32:16,009 --> 00:32:18,114
homes getting built and remodeled,

353
00:32:18,114 --> 00:32:20,649
admiring Christmas lights over the holidays, and

354
00:32:20,649 --> 00:32:31,590
just seeing people to remind me that&nbsp;other people exist and they live real lives and they are connected to me because they’re&nbsp;my neighbors.

355
00:32:31,590 --> 00:32:33,361
I’m not the most social person

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00:32:33,361 --> 00:32:42,956
but even I don’t like the isolated feeling that&nbsp;a commute on a tollway where there’s nothing to look at but other cars and sound-isolation&nbsp;walls gives me.

357
00:32:42,956 --> 00:32:51,616
I feel way more connected to my community 
when I can actually, ya&nbsp;know, see it and the people who define it.

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00:32:51,616 --> 00:32:57,278
That’s a preference of mine which I grant&nbsp;but it’s also a priority of mine.

359
00:32:57,278 --> 00:33:04,286
I am being mindful now to put human connections&nbsp;above technological connections.

360
00:33:04,286 --> 00:33:08,433
See, what I do here, is I make connections between&nbsp;technologies -

361
00:33:08,433 --> 00:33:17,054
that way you can learn how they fit together and how best to use them, and&nbsp;maybe you can use one concept in conjunction with another concept to make a third concept!

362
00:33:17,054 --> 00:33:18,411
That’s&nbsp;what I’m doing here!

363
00:33:18,411 --> 00:33:22,295
Trying to empower you to make your life better.

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00:33:22,295 --> 00:33:29,344
Technologies which make&nbsp;human connection 
harder or even just more random are, uh,

365
00:33:29,344 --> 00:33:30,586
bad!

366
00:33:30,586 --> 00:33:33,799
That I do think is black-and-white true.

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00:33:33,799 --> 00:33:42,032
Any&nbsp;piece of technology which gets in between humans who wish to help each other is frustrating at best&nbsp;and exploitative at worst.

368
00:33:42,032 --> 00:33:50,958
We ought to know by now the real reason those systems get put in place&nbsp;
is so that we need fewer humans in helpful roles.

369
00:33:50,958 --> 00:33:56,413
And I think there is absolutely no question that&nbsp;this is going to get worse

370
00:33:56,413 --> 00:34:04,115
until we all start looking inward 
and begin questioning how we&nbsp;operate in this world and why.

371
00:34:04,115 --> 00:34:11,228
Silicon valley seems hellbent on creating machines which can do&nbsp;our thinking for us.

372
00:34:11,228 --> 00:34:14,338
Why should any of us want that?

373
00:34:14,338 --> 00:34:23,910
I certainly don’t want that - I don’t&nbsp;learn anything unless I do 
the mental work to create a complete framework of understanding&nbsp;in my mind.

374
00:34:23,910 --> 00:34:30,199
I don’t talk about things I don’t understand 
because that’s the fastest way you&nbsp;can make a fool of yourself.

375
00:34:30,199 --> 00:34:35,432
And it can be dangerous when you have a platform like I do.

376
00:34:35,432 --> 00:34:41,720
I&nbsp;will never trust a computer program 
to be able to understand anything in the way a human can,

377
00:34:41,720 --> 00:34:45,772
nor will I trust it to find information for me.

378
00:34:45,772 --> 00:34:51,796
If I have to vet everything it’s finding, 
then&nbsp;I end up doing the same work I would have done myself.

379
00:34:51,796 --> 00:34:59,481
And if I don’t vet what it’s finding, 
then&nbsp;what I’m really doing is saying I don’t want to be responsible for what I do.

380
00:34:59,481 --> 00:35:07,406
It frightens me that&nbsp;even though we’ve all seen the consequences of what a social media recommendation algorithm can&nbsp;do to shape our viewpoints

381
00:35:07,406 --> 00:35:14,286
that we are somehow falling for the temptation 
of machines which can&nbsp;offload our thought processes.

382
00:35:14,286 --> 00:35:17,320
The thing which makes us human.

383
00:35:17,320 --> 00:35:23,819
If that’s not the purest form of&nbsp;lazy anti-intellectualism, I don’t know what is.

384
00:35:23,819 --> 00:35:30,545
On that cheery note, let me make sure you know&nbsp;
that I share the same frustration with the AI hype cycle

385
00:35:30,545 --> 00:35:40,358
as the AI researchers who are actually&nbsp;doing work to create tools to solve real problems, like early detection of cancers from images&nbsp;or blood screens.

386
00:35:40,358 --> 00:35:44,683
That is valuable research which will undoubtedly save lives.

387
00:35:44,683 --> 00:35:52,642
It’s beyond&nbsp;frustrating that the only kind of AI that is in the public consciousness at the moment is the&nbsp;one that does some very impressive tricks

388
00:35:52,642 --> 00:36:00,525
but any honest person will tell you needs intense&nbsp;
supervision because it will hallucinate and produce bad outputs.

389
00:36:00,525 --> 00:36:02,918
It seems blindingly obvious&nbsp;to me

390
00:36:02,918 --> 00:36:11,496
that the stakes are way too high to hand over our decision making to a computer which&nbsp;cannot be held responsible for the decisions it makes.

391
00:36:11,496 --> 00:36:17,534
And that’s, disturbingly, what I think is&nbsp;the real reason for wanting to push this future.

392
00:36:17,534 --> 00:36:19,932
But you’ve put up with me long enough.

393
00:36:19,932 --> 00:36:25,005
Thank you&nbsp;for watching and I hope I don’t sound too far off my rocker.

394
00:36:25,005 --> 00:36:34,987
I made this channel not just&nbsp;to share cool stuff I find 
but to show all the amazing ways we solved our problems in the past.

395
00:36:34,987 --> 00:36:39,594
There are invaluable lessons there which we forget at our peril.

396
00:36:39,594 --> 00:36:44,003
I don’t talk much about computer&nbsp;technology because it doesn’t really interest me.

397
00:36:44,003 --> 00:36:48,166
And it’s becoming less and less interesting&nbsp;as time goes on.

398
00:36:48,166 --> 00:36:53,672
Outside of hardcore enthusiasts or people doing research on vast amounts of data,

399
00:36:53,672 --> 00:36:57,796
let’s be honest: computing is a solved problem.

400
00:36:57,796 --> 00:37:05,155
I can use my desktop computer from 2017 to make&nbsp;
these videos for you and it would not get in my way at all,

401
00:37:05,155 --> 00:37:12,352
and the $600 nearly base-spec M2&nbsp;Mac Mini 
I bought to dingle around on can do it just as well.

402
00:37:12,352 --> 00:37:19,920
Video encoding is getting more&nbsp;efficient and we need less bandwidth and storage 
to send videos like this across the world

403
00:37:19,920 --> 00:37:24,660
and&nbsp;that’s despite internet connections getting faster and faster.

404
00:37:24,660 --> 00:37:32,237
So I think it’s pretty clear&nbsp;
that that reality is why silicon valley is doing the stuff it’s doing these days.

405
00:37:32,237 --> 00:37:38,236
It has to&nbsp;justify itself as a center of innovation 
in a world where it’s running out of runway.

406
00:37:38,236 --> 00:37:40,713
And&nbsp;the best answer it’s got is

407
00:37:40,713 --> 00:37:44,265
“euhhh computers which pretend to think.”

408
00:37:44,265 --> 00:37:48,366
Forgive me, but I want&nbsp;to think for myself.

409
00:37:48,366 --> 00:37:51,000
And I think you should, too.

