🚨 Generations React to METROPOLIS: AI, Creativity & Female Robots?! 🚨
"This is a hundred years of thought." - Jessica
It's the battle of the generations! Ok, it's really more observations, but who doesn't love a good debate?
This special episode is where minds of all ages collide to unpack the future through the lens of classic cinema! In this thought-provoking episode, Host, Syya (Gen X) with special guests, Tammy (Gen Z), Jessica (Millennial) and Patricia (Boomer) dive deep into the legendary sci-fi film Metropolis! This almost 100 year old movie depicts AI, Robotics, Society and so many images of what we think 2027 will look like.
👵👩💻👧 Watch as Boomers, Millennials, and Gen Z weigh in on:
🎬 The eerie evolution of the robot Maria
🎨 How AI is reshaping creativity in animation and music
🤖 The soul-chilling transfer of consciousness & female autonomy in robotics
🚗 Predictions Metropolis got right about our cities and transportation
🔐 Data privacy & the human side of artificial intelligence
💼 Is robotics a viable business — or just sci-fi fantasy?
✨ Calling the cool kids! Film buff, tech geek, or just love watching generations debate the past and future of tech, this episode is packed with hot takes, surprising insights, and a few jaw-dropping realizations about where we're headed.
Thank you to sponsor: @checkpoint
Credits:
Video Credit: @sneditor345
• Metropolis (1927) - The Cityscape
Video Credit: @RichardWhite_Composer
• Metropolis: Maria's Transformation (1...
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🎬 Fair Use Disclaimer:
This video contains copyrighted material used under the Fair Use doctrine (Section 107 of the U.S. Copyright Act). The original content has been transformed through commentary, criticism, and editing for the purposes of education, discussion, and entertainment.
All rights to the original video remain with the respective copyright holder. If you are the creator and have concerns about this usage, please contact us directly.
Transcript
Yeah, when I think of AI, I think of like limitless creativity options for me, right?
2
:I use it to take those little ideas that I have and help me kind of make them into
something bigger.
3
:So very interesting.
4
:Like me, for me, AI, being an AI robot would be, I mean, some people I think, think I am
now.
5
:They joke.
6
:I'm one engineer that jokes I'm a robot all the time.
7
:I am not.
8
:If I was, if I was.
9
:AI would, I would be leveraging it in much different ways.
10
:I would be unstoppable.
11
:This is Technophile Real Talk.
12
:Thank you to this episode's Checkpoint Software.
13
:Welcome back.
14
:It is Technophile Real Talk and guess what movie we're doing today.
15
:This one I've been talking about for probably the last every single episode for season two
and I've been talking about doing it with a twist so I cannot help but say welcome back
16
:Jessica, Patricia and we have a new guest here Tammy.
17
:Welcome ladies.
18
:Thank you.
19
:Okay, this is unusual because we have a little bit more than normal.
20
:but there's a reason behind it.
21
:It is because we're doing the movie Metropolis, the 1920, uh-oh, the 29?
22
:29?
23
:27.
24
:27.
25
:27.
26
:So look, seven, nine, same, same to me in my brain.
27
:Actually, it matters.
28
:It actually matters what year this is because the reason why I asked you ladies to come
back and plus invite Tammy is because I thought it would be kind of fun to review
29
:Metropolis from the lens of our own generations.
30
:and as females in tech.
31
:So we have got a bunch of different angles here.
32
:We can go and approach this, or we could just simply respond to it as we would as normal
human beings.
33
:It doesn't matter, but I figured it'd be kind of a cool angle.
34
:So ladies, are you up for something like slightly different?
35
:Yes, always.
36
:Okay, so in the back room, the green room, I was chatting it up with Tammy.
37
:So Tammy, because you are the latest and greatest to the crew here, could you help me
understand exactly, you're in computer science, I'm sure you're still getting your degree.
38
:Yes, I'm currently my second year, so almost my third.
39
:But yeah, I'm studying computer science right now.
40
:Okay, why did you pick computer science of all the many degrees out there?
41
:wow.
42
:I chose it because I just like problem solving.
43
:And whenever I started to code, I felt like I could find a solution more efficiently
through tech.
44
:So, yeah.
45
:Interesting.
46
:Okay, now let's be brutally honest because we do have some parents in our midst.
47
:Were you encouraged by your parents or is it something a family member or on your own
you're like, meh, I'm trying it.
48
:I wasn't encouraged by my family actually.
49
:I was kind of discouraged because my family is more traditional and they want me to go
typical like doctor, lawyer.
50
:But being in school, I was able to explore and I had the opportunity to go into different
programs and see what I liked.
51
:Very cool.
52
:So you're enjoying yourself.
53
:Now, I know you're enjoying yourself.
54
:Let me rephrase that because we know you're enjoying yourself.
55
:Of course, all the teachers or professors out there give a raise.
56
:What's your future career?
57
:What exactly do you want to do with your degree?
58
:With my degree, I'd hopefully want to go into either like software engineering or software
development, but not influenced at all.
59
:But I also wanted to look into cybersecurity and explore that as well.
60
:I just haven't had the opportunity just yet.
61
:you oh
62
:Let me tell you, cybersecurity is job security.
63
:Like legit, legit.
64
:I don't know of all the industries out there.
65
:Like if you want to have a guaranteed job, it's going to be in cyber.
66
:Just saying.
67
:So, okay, Jessica, Patricia, any thoughts that you'd like to add or guidance from Tammy as
we, as she jumps into her career?
68
:Cyber, cyber, cyber.
69
:You just can't go wrong with anything computers either.
70
:even from 100 years ago, technology was so ingrained in the idea and the concept of what
the future is going to be and that nothing has changed today.
71
:Patricia?
72
:Pretty much the same, you can't go wrong.
73
:I know, isn't it crazy?
74
:And the fact that we're gonna be reviewing Metropolis, 1927, so this is like almost 100
years ago this movie's been made.
75
:So it's gonna be really intriguing.
76
:Raise your hand, who's seen the full movie?
77
:Oof.
78
:So hard.
79
:Okay Jessica, that face, why was it hard for
80
:Maybe I haven't, you know, was born a little bit before the whole, you know, 30-second
clips and attention span, but watching an entire movie with no dialogue?
81
:Like, it was implied, but apparently that's just not enough for me.
82
:was rough.
83
:uh Interesting, interesting.
84
:so Patricia, I know it's been a while for you and you've seen more or less bits and pieces
of it.
85
:What are your thoughts based on that statement that it was too slow or just hard to
connect without the voices?
86
:It's hard to connect without voices and it's very bleak in black and white and gray.
87
:guess black, white, well actually it's more black and gray than actual white.
88
:It's like just sapia.
89
:It's very bleak, it's very dystopian, it's just very, it is not an uplifting movie.
90
:I tried to watch the whole thing and then I pretty much just settled on clips here and
there because it was just like, this is a lot.
91
:It's for no dialogue.
92
:It's an incredibly heavy movie.
93
:It was, goodness gracious, the name's eluding me.
94
:You would think I would have taken notes for this, you guys, but the director, I believe,
is German.
95
:It's German movie.
96
:And the crazy part to me, is this is what they thought 2025, 2027 was going to look like.
97
:And I'm going to argue, I'm going to say...
98
:Yes, it's obviously a fantasized version, but I don't think we're that far off like
mentally, but I'm going to before we like spill the beans here any pre thoughts before we
99
:actually review the movie itself.
100
:So Tammy, you've never seen this, right?
101
:Have you heard of Metropolis?
102
:No.
103
:oh this is gonna be so fun.
104
:I'm so excited.
105
:Oh my God.
106
:I'm like almost gonna cry.
107
:Okay, so it's like the antithesis again, I think our attention spans now is so vastly
different from then.
108
:So you're pointing out something Jessica that I can see where maybe Tammy's generation
might have to say, wait, stop, slow down, pause.
109
:I need to read the dialogue.
110
:Because there are some scenes where it went a little fast, I think, but I'm not gonna
spill the beans too much.
111
:Ladies, I'm just gonna ask, on a scale of one to 10, Tammy, you know nothing.
112
:So this is just a total stab like guess in the dark.
113
:How accurate do you think it's gonna be of how they predict the future?
114
:How accurate do you think this movie is?
115
:And this is for Tammy.
116
:It's for Tammy to start.
117
:Tammy, you first.
118
:I mean without knowing anything I would guess a five.
119
:Someone's a gambler.
120
:They're they're hedging.
121
:Okay, good job, good job.
122
:Jessica?
123
:Technically, I think they're about a, I mean, eight.
124
:uh Conceptually, they're an eight.
125
:Okay.
126
:Patricia.
127
:I'm going 10 because I've been around in computers for a long time and I don't want to
spoil it anything for Tammy, but there's some depictions that I tell myself, hey, I worked
128
:on that.
129
:And the young people laugh at that because it's like, you know, that's the size uh of a
semi truck.
130
:Well, yep, used to be.
131
:Yeah, yeah, yeah, okay.
132
:Well, without further ado, everyone, are we ready for our first clip?
133
:Mm-hmm.
134
:Yes.
135
:All right, let's do it, ladies.
136
:We still have taxis.
137
:transportation looks like roller coasters.
138
:Energy conservation.
139
:Look at the transportation you guys.
140
:Planes, trains, automobiles.
141
:Traffic?
142
:Traffic?
143
:Intrigued by the vision of skyscrapers.
144
:That looks like a pagoda back there, doesn't it?
145
:Like the capital.
146
:That's cool.
147
:We still don't have flying airplanes of this nature.
148
:I think that one is a flying bus though.
149
:I think you're right.
150
:I think you're right.
151
:All right.
152
:So, okay.
153
:Opening sequence of the cityscape.
154
:going to reverse the order here.
155
:Patricia, what are your thoughts on that?
156
:Well, it looks like it's rush hour in Metropolis.
157
:And I tell you, as I'm looking at that and going, oh, you know, everybody's going to work
and everybody's scoring.
158
:The music in the background feels so energetic compared to how bleak the scene looks to
me.
159
:It looks very gray.
160
:I kind of see the grayness as like smog and pollution.
161
:But then there's this musical score in the background that's going.
162
:And I'm going, I don't quite feel like those two fit together.
163
:I would have been, I'm not at all musical, but if I were, I'd have been very discouraged
if I had to do the musical score for Cityscape, because mine would have been very
164
:depressing.
165
:Ah, Monday.
166
:Well, know, are there it's metropolis apparently is now considered part of the public
167
:Public domain.
168
:public domain.
169
:oh people on YouTube have been scoring their own music to it.
170
:there's like bunch of channels of composers who have done their own music to Metropolis.
171
:So if you want to check that out, definitely I'd highly recommend you go.
172
:It's interesting how, like you said, the different take on the music.
173
:I believe in this component, in this scene, I think it was supposed to be like the idea of
March of Progress, like above ground.
174
:future forward, there's movement activity, humans are productive, which is going to
contrast, which is going to come down the pike, right, with underground.
175
:I think that, at least to me, I think that was supposed to be his vision, but I can see it
where, no, this is all negative, it all sucks, this future sucks.
176
:Jessica, what do you think?
177
:economy because there's the different modes of transportation, like the flying bus.
178
:Wouldn't that be cool to commute?
179
:And then there's everybody who's stuck in their cars in rush hour.
180
:And then there's the subway, which is probably crowded.
181
:So it was, it was very interesting to see the different levels.
182
:And then if I just think of how this actually looked on set, they didn't have any computer
generated animation.
183
:So.
184
:Therefore, this was probably all like a tiny little diorama that you made when you were in
elementary school with tiny little people like doing, like a little wire that you can't
185
:see doing like the tiny, flying the little tiny airplanes and stuff.
186
:And it's probably like a tiny toy train set.
187
:So I think about that, that that was probably fun to do back in the 20s.
188
:You're right on that like a diorama.
189
:mean, I mean if you think about it though, I mean how again how Ford future thinking for I
Can't remember the guy's name.
190
:I almost like her zig or something like that.
191
:I'm so terrible everyone.
192
:I'm so sorry But but for the director and cinematographer and although like how amazing in
vative because even Star Trek:
193
:Right?
194
:The first one still used those dioramas and forced perspectives and, you know, gosh, poor
Tammy.
195
:She's like, yeah, they're old school too.
196
:What's up?
197
:Okay, so Jessica, did you think?
198
:my first thought was welcome to Dallas, right?
199
:Like one of the things that endears me to the Dallas forward area is the infrastructure of
our roads.
200
:And I always thought that coming down here for the first time that they were so advanced.
201
:And I love that about the area.
202
:But even back in 1927, conceptually they had this idea of the different levels of roads.
203
:the different modes of transportation all kind of coexisting, going the same place, right?
204
:It wasn't just the train taking you here, the bus gets you here.
205
:It's all of these different ways of transportation are gonna get you to the same spot
depending on what you wanna choose.
206
:And then it brings me hope for like the bullet train from Dallas to Houston too, right?
207
:Like I see that I'm like, this is what they thought of 100 years ago.
208
:We need to step up our game a little bit.
209
:feel like we're behind.
210
:This is a hundred years of thought and this is where we're at now.
211
:Maybe we haven't come so far, but at the same time, we've come so far.
212
:I hear you on that.
213
:Okay.
214
:I'm super sad.
215
:I'm sorry, Tammy.
216
:I got to ask.
217
:What do you think?
218
:Well, I think, so I live in Arlington currently and I think it's the largest city without
public transportation.
219
:So the only way we can get places is, you know, just driving and seeing this clip with all
the, you know, the different hierarchies of modes of transportation.
220
:It's, I, I feel a little envious.
221
:I wish we could have access to like the different levels of and different modes of like.
222
:Sometimes I don't want to take my car, gas is expensive.
223
:But I do notice like the
224
:What, what Patty said?
225
:But with the music and the soundtrack, it is that marching forward towards the future.
226
:But I do see where the cognitive dissent happens because, we're going towards the future,
but I feel like there's always a little voice in the back of our head.
227
:Like, is this really good for us?
228
:Is this, are we really advancing towards something?
229
:Are we?
230
:oh
231
:I don't know how to say it.
232
:Yeah, yeah.
233
:think that's a very fair argument because though it hasn't been introduced just yet, but
AI is at the root source of the turning point of society being a well-structured, oiled
234
:machine to what chaos is going to ensue in the later scenes of this movie.
235
:Because I think there's, at least for me, my first impression, there's a certain semblance
of orderliness, structure, that it's like a true machine that in essence,
236
:We're all cogs in a wheel, even humans, even in this path to the future.
237
:I think it's almost like we've lose a bit of autonomy.
238
:And I think that's the vibe I got even in the most affluent, most segment of society.
239
:And that's what this opening scene is.
240
:So, okay, now Tammy that you've seen the first scene though, and based on all the other
things that we've been talking about, is this what you expected of a movie from 100 years
241
:ago?
242
:No, I think it's actually a lot more accurate than the five I gave it.
243
:Okay.
244
:Okay.
245
:So any other thoughts ladies and maybe we can punch on into scene two if you guys are
interested.
246
:All right.
247
:Okay.
248
:So if that's the case, let's get ready for scene two.
249
:I think it are all hooked up, you guys.
250
:I mean, definitely like right off the bat, Frankenstein.
251
:that's got CABLING ON.
252
:Guys, there's no spaghetti wires.
253
:The cabling looks pretty.
254
:I'm gonna cry, it's pretty.
255
:Look at that fire.
256
:Like, that's supposed to be the power source?
257
:That's right.
258
:So crazy, just the...
259
:depiction of
260
:That's creepy
261
:APIs.
262
:outfit though that's crazy they thought that we'd be wearing flowing jackets
263
:I mean, I think that was on the runway this year.
264
:Again
265
:I mean, look at that animation.
266
:This is pre-CGI world, people.
267
:And I don't think this is original music, by the way.
268
:This one.
269
:This music matches a little bit more to the scenes than the previous one, I thought, I
think.
270
:I think the music, yeah.
271
:I this is- I pulled this from one of those composers I was telling you about.
272
:We were talking like electric power, hydro power.
273
:Yeah
274
:and lot of different sources to make this happen.
275
:Just look at that you guys, I can't even do that like
276
:Now that pulling the lever is still, connotes a little bit mechanical still, analog
action, you know what mean?
277
:This is crazy to me, that he knew how to fade out.
278
:it's so creepy.
279
:Poor Maria.
280
:Okay guys, Maria's transformation.
281
:I'm gonna go to you first, Tammy, because this one to me is like, I think this is a very,
for lack of better term, I think this is like a sexy scene.
282
:Yeah, I mean, I feel like in media, this kind of like is the beginning of, the female like
robot trope.
283
:I think that it's always a woman that people try to turn into a robot or try to get things
to do or try to get them to do things for other people.
284
:I was reading up on the movie and he was doing this because she died and he wanted to
bring her back.
285
:So.
286
:But I think a big part of it was she didn't like, she died, but he brought her back
without like consent.
287
:You know what I'm saying?
288
:She's back and she didn't really have a choice or a say in the matter.
289
:And now she's forced to do all these things for him as a robot.
290
:what a fascinating take.
291
:wow.
292
:Again, that is the consent component never appeared in my brain once.
293
:Wow.
294
:Okay.
295
:okay.
296
:So from your perspective and seeing the scene, is this how you would have envisioned
transferring a soul into a robot machine, brainwaves, brain, memory, consciousness?
297
:Is this how you would have envisioned it?
298
:What did you think about that portrayal?
299
:think this portrayal is better than what I envisioned it because the entire process just
looked more like grueling and it looked more like the soul was actually being transferred
300
:because now what I envision is just like a simple little, we're going to copy the brain
into a cloud and just plug it in and that's it.
301
:But I think that the soul and the brain is a lot more.
302
:And so I really like this depiction of it because it's
303
:It has all the bubbles, all the lighting, all the entire process that just looks more
complex that I think is better fitting than a simple just plugging in process than what I
304
:envision right now.
305
:Have you seen the Matrix by any chance?
306
:Yes, I have.
307
:So, uh
308
:human plugging into an AI, a physical AI, which one would you think is more realistic
perception-wise to you?
309
:Or more appealing for that matter?
310
:I think more appealing is the alternate universe, because that one you're able to be more
creative and you have more control over what surrounds you and what you choose to do.
311
:there's not many limiting factors.
312
:Plugging into an AI, I just can't find much creativity in that.
313
:I just like control more, like having control over everything around me.
314
:Fair enough, fair enough.
315
:All right, Jessica, what do you think?
316
:Yeah, when I think of AI, I think of like limitless creativity options for me, right?
317
:I use it to take those little ideas that I have and help me kind of make them into
something bigger.
318
:So very interesting.
319
:Like me, for me, AI, being an AI robot would be, I mean, some people I think, think I am
now.
320
:They joke.
321
:Look, I'm one engineer that jokes I'm a robot all the time.
322
:I am not.
323
:If I was, if I was.
324
:AI would, I would be leveraging it in much different ways.
325
:I would be unstoppable.
326
:But, but just the whole transformation of Maria into this bot.
327
:And again, just like a hundred years ago, somebody had the idea that we could move
intelligence into.
328
:hardware, right?
329
:mean, okay, she was the bot and it humanized her, but there was this idea where we could
put intelligence into non-intelligent things.
330
:In the 80s and 90s growing up, there was a lot that happened, even just in the last 30
years.
331
:Cell phones, cordless, let's start with the cordless phone, right?
332
:cordless phone and then cell phones, internet being available to everybody.
333
:Gosh, cable TV, streaming Netflix from DVD to on your TV wherever you are.
334
:There's so many things that have happened.
335
:And again, it has taken our generation 30 years to bring those to life.
336
:And the director, I don't know his name either, so don't worry.
337
:So ahead of its time.
338
:Yeah, he was so ahead of his time, but he really went through, like Taimi mentioned, this
grueling process of pulling in all these different power sources and testing, you know, I
339
:don't know what he was testing, but he was testing something that looked like it was
really important to bring all of these different things together to make this.
340
:Yeah.
341
:It reminds me of Westworld.
342
:If you guys are familiar with Westworld.
343
:my gosh, that's another movie.
344
:gosh, that's a TV show and movie.
345
:highly recommend there's a 1970s Yul Brynner version of it, the original Westworld.
346
:And then there's the HBO Westworld.
347
:I'm obsessed with the Westworld of HBO season one.
348
:We will review it in the future guys, but it talks about that a little bit more where the
349
:human consciousness going into a robot form and are we human anymore?
350
:If our soul is in a robot form and we're, are we human or are we not?
351
:Right?
352
:Do we have?
353
:Is a sentient robot a human form thing?
354
:Where is the humanity, where does it begin and end, right?
355
:If a uh programming recognizes itself and it feels emotion and whatnot.
356
:It's a really crazy conversation to think about.
357
:okay, so Patricia, this transformation, this has got to be, I'm sure you have some
thoughts on it as well.
358
:I have actually...
359
:several thoughts.
360
:I look at what this person envisioned, you know, that it was made in 1927, but you figure
you probably have to take it back a couple years.
361
:They probably conceptualized it and laid it out for a couple years.
362
:And I see all the bells, literal bells and whistles and switches and, and vials of
bubbling things.
363
:And then I think this is 27.
364
:But then I think back to a couple more recent movies, at least for me, Young Frankenstein
and then Princess Bride.
365
:are both scenes in both of those movies that are not so far off as far as all the bells
knobs from this movie in the:
366
:So this guy was very ahead of his time.
367
:And then I also think about what
368
:Jessica said about testing, I've always been in technical training.
369
:So I look at that and I'm thinking to myself, okay, so if I was writing the training
course on how to transfer the soul from live Maria to AI Maria, just imagine that all the,
370
:how would you test that?
371
:I mean, what exactly would you use to test that process to actually get it to the point
where you're actually going to be doing it?
372
:And so these are the things that were going through my mind.
373
:And then if I have, I actually do have some AI robot type of things in my house.
374
:They have names, one's called Farm Boy and one's called Rosie, and they vacuum my house
every single day.
375
:And so I was thinking, would I want an AI robot to do things for me when I'm working?
376
:I already have to.
377
:I robot.
378
:vacuum cleaners.
379
:you know, my mother loved to vacuum.
380
:So obviously some of her got transferred into my two iRobots and keeping my house clean
every day behind the scenes.
381
:Hey iRobot, you want to sponsor this episode, I'm not gonna say no.
382
:Sorry, didn't mean to product place there, but they're both buzzing in the background as
we're sitting here and I'm thinking, well, would I want robots?
383
:Well, I actually do have robots doing some things for me that I don't want to do.
384
:You know, you just made me think like if anyone has an Alexa in their, in their office,
that is a robot, you know, different function.
385
:Basically any device we have in our household that's IP that has an IP address basically
is a form of a robot, which reminds me of a movie called Maximum Overdrive.
386
:And if you guys aren't familiar with that, my boyfriend said I absolutely should do that
one because he thinks it's it's not a great movie.
387
:Okay.
388
:It's over the top, but.
389
:oh
390
:It's a Stephen King novel or short story that they turned into a movie in the 80s.
391
:it's basically robots take over, like mechanical devices take over the world.
392
:So maximum over driver who wants to do that episode hit me up.
393
:But it also reminds me of the Jetsons, like you say, like Rosie the robot, right?
394
:Would we want a robotic butler or maid in that human form?
395
:Cause I know there's a lot of
396
:robotic companies out there that are building these types of purpose-built tools for us.
397
:In a way, I'm surprised we don't have it already though, right?
398
:Because you would think the Jetsons, which was the 60s,
399
:Exactly.
400
:One of my iRobots is named Rosie after the robot maid and babysitter and dog walker in the
Jetsons.
401
:So, I that was envisioned a long time ago.
402
:And then just kind of the little plug of AI, I know that people now in my family that may
not be in technology or everybody's reading about AI and, it's kind of scary.
403
:I try to tell them AI has been around for a long time.
404
:Once your phone started auto correcting you, once spell check came, Siri's been, I don't
have Siri enabled on my phone, but a lot of people do.
405
:I mean, that is just Alexa, like you said, those kinds of things.
406
:We've had AI helping us, iRobots, we've had AI helping us for a long time.
407
:It's not new, it's just becoming a little bit more mainstream.
408
:And I think, C, you brought up a point like, when are we going to get there?
409
:And technologically, I would guess that we're there.
410
:Like from a technical perspective, from a do it in the machines perspective, we're there.
411
:I think what we're missing is all the bells and whistles and lights and hydro powered
capabilities that, know, Creepy Guy had in making the technology humanized.
412
:Right?
413
:Alexa has a human voice.
414
:Our GPS has a human voice.
415
:We give our robots and our cars and our whatever, names.
416
:We humanize them if they don't come humanized.
417
:And so we may technologically be there, but we have to put that human element in it.
418
:And people always say, AI, you know, it's gonna take over the world.
419
:know, humans are not gonna be needed.
420
:I would argue that we as
421
:humans require that human component to all that we interact with, even our AI.
422
:Tammy's going have to be programming all those AI elements that are helping us around the
house.
423
:need somebody.
424
:need, I know that they now say that you can ask ChatGPT to do coding for you, but still
there has to be a human element to test it.
425
:There has to be a human element to train on it.
426
:We're needed for a while.
427
:It is.
428
:So Tammy, okay.
429
:So we just threw you under the bus there.
430
:So coding and programming and designing for something of this state.
431
:Could you envision yourself if you're working on a project?
432
:Is robotics something that you even thought about?
433
:Yes, I have considered it in the past.
434
:And I think that even when like the beginning of AI started to happen, I was already like
preparing myself like, if this job of mine is going to get like automated, should try to
435
:like, I should try to adapt and just try to see what I can still do and what it like is
still needed in the field.
436
:And I really like the point that
437
:Jessica brought up because nature versus nurture in that experiment, you know, they had a
baby monkey and there was a robot monkey with milk and then there was just a fur monkey,
438
:but it only provided warmth.
439
:in the experiment, even though the robot monkey had the milk for the baby monkey, it only
went to the one with the fur because, you know, we just, think nature.
440
:To add on with the AI, of, you know, Maria's body being used without her consent.
441
:I think I see a connection in this world today where people just post videos and pictures
online, but then that will get grouped into datasets and training the AI models.
442
:And then sometimes, you know, deep fakes are created.
443
:then just by like posting a picture or sharing a video, your face is out there somewhere.
444
:And sometimes it can be used without your consent.
445
:I just saw that connection with them using Maria and turning her into a robot.
446
:You know what's really interesting is, you know, that idea of, essence, the way your
generation phrases things is ultimately what I would say my generation, by the way, I
447
:couldn't resist, had to wear it, is data and privacy, right?
448
:How much autonomy do we have over our own visage, right?
449
:How much autonomy do we have of our own voice, right?
450
:Because we know that, that can absolutely...
451
:whatever wants to emulate and duplicate this voice, good luck on you.
452
:But I think it's a very interesting point.
453
:And I do think I'm glad that you guys are considering and thinking that way.
454
:It is a different, slightly different perspective and lens, but it still matters as far as
who owns this, right?
455
:Because if we give into platforms, and this is going to be streaming on all the social
media platforms, well, I've had to tailor it down, but like,
456
:LinkedIn and YouTube, for example, we are still subject to their policies.
457
:We are still subject to what they deem is appropriate because it is owned by a private
entity.
458
:Right.
459
:So I love the point you make.
460
:Jessica, I would love to go back to what you made.
461
:idea of technologically speaking, we can do the Rosie, you know, robot and all that stuff.
462
:But I think.
463
:Just more cynically, I'm thinking pure business.
464
:I don't think the return on investment is there yet to warrant us to mass produce these
types of robots because I think though we can do it technologically speaking, I don't know
465
:if we can do it mass.
466
:I don't think we're there yet to make it worth the business dollar investment for some
billionaire to invest into.
467
:That's my argument as to why we're not there yet is I think the price point to
468
:pay for that technology is just the appetite still not fully there yet.
469
:That's my, and then also let's be real.
470
:It doesn't help the robotics industry that they push out Boston dynamics as the use case
examples, right?
471
:With those, the robot that could do flips and swing and blah, blah, blah, right?
472
:Like that's just freaky.
473
:So anyway, ladies, I know we can keep talking about this.
474
:So I know we unfortunately have to wrap it up.
475
:But for final thoughts, you only saw like the first like me, you know, clips here, but we
didn't even go into the actual proper movie itself.
476
:Patricia, seeing those two clips again, would it inspire you to sit down with the kids and
be like, let's do a movie night and then hear their feedback and do your own reaction
477
:video?
478
:Is that some that you'd be interested in doing?
479
:you, you
480
:about my children or are you talking about my children's children?
481
:Your, your, your, actually give me your assessment of your children and your children's
children.
482
:can see that my, except for Jessica, could see that my other two children would get up and
say, I have way more important things to do than watch something this boring.
483
:They'd be out of there.
484
:are not people-pleaser.
485
:They wouldn't do it to please me.
486
:And the grandkids, I could see maybe some of the older ones might like the darkness.
487
:I can think of a few of my older grandkids that would like the darkness, then I can think
of a few of my older grandkids that would, they're very much in
488
:to
489
:They would not like it in the little ones and they'd go off and play.
490
:Got it.
491
:Okay, Jessica, I know you watch it you're like, hell no, not again.
492
:Okay, if they did voiceovers at least, would it have given you a little bit more enjoyment
with this movie?
493
:100%.
494
:Because you've seen it all the way through.
495
:Yeah, and listen, I'm all up for a good like subtitle movie.
496
:Like this even lacked in that area.
497
:I need some influence on me on what's going on.
498
:Maybe that's it.
499
:Like I was all in my mind having to think too much while being entertained.
500
:And that's not what I watch movies.
501
:You were missing the context.
502
:But then again, then they left it up to
503
:the watcher's imagination.
504
:too.
505
:So let's just think about our interpretations.
506
:all, all four of us interpreted things differently.
507
:Very much so.
508
:So there's that.
509
:Yeah, I love that I the beholder kind of leaving you up to think which I think it may be a
for cinematographers and all my movie making friends I'm sure that's a struggle right is
510
:like how will this movie or scene or Cut you'd be interpreted.
511
:So, okay, Tammy.
512
:We're leaving with you because you're the coolest generation coming up here, right?
513
:What do you think?
514
:This movie is a lot.
515
:I think people in my generation would have a harder time like sitting through the movie
and finishing it.
516
:Cause you know, we have this app called TikTok and it's just short videos that you swipe,
swipe, swipe.
517
:And sometimes there's like two videos playing at once.
518
:And it's, I think that's like heavily influenced like our younger generations, like
attention span.
519
:And so.
520
:I think sitting through the movie would be hard, but I think there is few people that
would appreciate the movie and sit back and be like, wow, like, I can't believe they
521
:predicted that all the way back then and just really contextualize themselves and realize
like how influential this movie is for being so old.
522
:hear you on that.
523
:You know what you just reminded me of and again just reminded me of how much older I am.
524
:Thanks Tammy.
525
:But back in the day when I was in my day in college we had this TV show called Friends and
we didn't have VCR like we had to run in and all meet up and we would be like I didn't do
526
:the dorm thing but I was a dorm groupie so it would be like you know movie nights or TV
night and we'd all run in.
527
:Watching this TV show together.
528
:I wonder if it would be something where metropolis would be one of those things where it's
like an event type thing not just a I almost said Netflix and chill not talking about
529
:talking about I see it almost like a group Viewing where you guys all can talk interact
and react to it, right?
530
:Versus like you by yourself Tammy or you and your friend like a friend, right?
531
:I feel like it because of the pace of it.
532
:I feel like it needs commentary from you guys to
533
:keep it interesting.
534
:don't know.
535
:Jessica, if you had a group of people watching it with you, do you think you might have
gotten a little bit more out of it?
536
:Totally.
537
:Yep.
538
:think the movie warrants itself to conversation.
539
:I could see it, there being a viewing down at the majestic theater in Dallas where
everybody came dressed up almost like a Rocky Horror Picture show thing where they, where
540
:I could,
541
:My son and my nephew did a Guinness Book of World Records movie marathon ages ago.
542
:they did it for what, like 48 hours and they had to have somebody sitting with them at all
times.
543
:And I know Jessica got to participate in the Rocky Horror Picture Show part of it.
544
:And I could just see that, I could see this movie lending itself very well to a cult
following and
545
:a lot of dialogue, people making up the dialogue as it goes.
546
:I would be engaged in, I would be interested in participating in something like that.
547
:That would be fun.
548
:my gosh.
549
:up subtitles.
550
:Okay, that's it.
551
:We're reaching out to the majestic people.
552
:Look, I go to the Granada all the time.
553
:We'll talk to, you know, Mike over there.
554
:I think that's a great idea.
555
:And I think what would be really cool is if there's like, even if it's like a high school
band that puts like the music together, right?
556
:Like, could you imagine or maybe, or maybe it would be like segments, maybe there might be
like an orchestra.
557
:Maybe in the very beginning and then as the movie progresses, it moves into a rock band.
558
:right.
559
:then theater group, maybe have the theater group like prompt everybody, everyone's so, oh,
and don't steal my idea people.
560
:I'm thinking this is going to be a genius.
561
:Watch them as you be like, you know, it's already been done.
562
:I don't care.
563
:Dallas is going to start it all over again.
564
:Poor Tammy.
565
:She's like, I will not go.
566
:I will not go.
567
:I love to go.
568
:would be fun if that, you're right.
569
:Well, you just made me think.
570
:Tammy, have you seen Rocky Horror Picture Show?
571
:my gosh.
572
:Okay, that's another movie that I know there's some technology takeaways you can do on
that.
573
:It's a little bit more on the, I will definitely have to edit some of those scenes.
574
:my goodness, okay.
575
:Ladies, we can keep talking all day.
576
:We've got to wrap this up.
577
:We got to like land this ship here.
578
:So on a scale of one to ten now that you've seen a couple clips Patricia a scale of one to
ten.
579
:How accurate do you think this this forward-thinking movie is from 1927?
580
:don't think it was far off.
581
:I'm still going with the 10.
582
:Nice.
583
:Jessica?
584
:I'm not going to change my answer either.
585
:I'm sticking with the eight.
586
:Conceptually, they had some great ideas there.
587
:Alright, now Tammy.
588
:I'll be moving up my five to an eight as well.
589
:Excellent.
590
:Excellent.
591
:Hey, you heard it.
592
:We've got all four generations here speaking up.
593
:wait, as Gen X, I mean, to me, think it's, I'd say it's a nine.
594
:It's really close.
595
:Especially considering none of that, what we're talking about really existed.
596
:So, eh, you're right.
597
:I'm going to go 9.57.
598
:All right, guys.
599
:So thank you so very much, Tammy, Jessica, Patricia.
600
:You guys are always welcome back to the show.
601
:I think we'll wrap that up for another episode of Technophile Real Talk.
602
:Until next time, guys.
603
:Thank you, CEO.
604
:Yeah, thank you.
