October 15, 2025 • 29 mins
This week, it’s all about Sora. OpenAI’s updated video generator and the invite-only social media app. AI Video just got so much easier to make, and harder to detect… Karah and her guest, Jeremy Carrasco, who runs the social media accounts showtoolsAI, demo how Sora works and how you can determine if a short video you’re watching was created with AI. They discuss why it’s a necessary skill in a post-Sora world, what OpenAI might be trying to accomplish with this social app and why you shouldn’t become desensitized to Deepfakes.
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Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:07):
Class. Welcome to tech Stuff. I'm Kara Price. Today's interview
is all about Sora, the video generation tool and invite
only social media app that Open Ai released at the
beginning of October. If you're on TikTok, Instagram, or x
you've likely seen videos made by Sora plastered all over
(00:30):
your feeds. These videos ranged from the absurd cats dancing
by a dumpster with sunglasses on to hyper realistic like
Queen Elizabeth trying jerk chicken in Jamaica. When I first
saw these videos, I was entertained by the absurdist ones
and kind of floored by the realistic ones. To me,
Sora signals that we have officially entered the post bunny
(00:51):
trampoline internet. Yeah, I'm talking about the AI video of
the Horde of Bunnies jumping on a trampoline in the dark.
I was very convinced that this video was real, and
so were many people, which led to a mini panic.
Is it even possible to detect what's fake and what's
not anymore? That's where my guest today comes in. His
name is Jeremy Carrasco and he runs multiple social media
(01:13):
accounts under the name show Tools AI.
Speaker 2 (01:16):
The idea that we can't tell what's real or not
because of AI video is so far definitely.
Speaker 1 (01:21):
Not the case. He has only been a full time
creator for four months, but he has become a trusted
source for dissecting viral AI videos and explaining the tells.
Speaker 2 (01:31):
There is a physical truth to shooting a video with
a camera. That physical truth isn't going away, and AI
does a version that to our eyes look like that
physical truth. But upon examination you can figure out that
these things break down. And I do think that any
(01:51):
normal person with decent eyesight can zoom into these AI
videos and figure that out.
Speaker 1 (01:57):
So Jeremy wants his social videos to be education. He
wants more people to get excited by what he calls
pixel peeping, and he wants to improve people's media literacy
and hopes his accounts can help people tune their AI
vibe checker.
Speaker 2 (02:11):
I'm not naive to the fact that people aren't going
to be pixel peeping on the videos that they watch,
So it's just about trying to tune people's initial impressions
so that they have something in their head that says ey,
something might not be right here, and then they can use,
hopefully other media skills that I teach them. In order
to dive a little.
Speaker 1 (02:28):
Bit deeper, I talk to Jeremy about so many things,
how video generation tools work, how to pick up on AI, tells,
why Sora is an inflection point for the Internet, and
what this signals for the future of social media. I
started out by asking Jeremy to clarify what Sora is
and what it does.
Speaker 2 (02:47):
So. Sora was originally released as Openay's first video model
in October twenty twenty five. They reuse the Sora name
to launch their social media app. A lot of the
hype has been around a Sora app, which is currently
invite only, and then there's the Sora TOI model that
you can already access if you have API access or
(03:08):
if you're a developer or even a normal person. There
are tools that let you generate a video with the
Sora to video model without an invite. The Sora app
experience is very unique in some ways and very familiar
in others. It does feel like a TikTok for you
page just for AI videos. You can scroll, it has
(03:30):
an algorithm to suggest But what's gotten a lot of
the tension is the ability to cameo someone, but really,
these are just deep bakes. Like you're creating deep fakes
of your friends. You're creating deep bakes of whoever lets
you create a deep bake of them, And you have
different levels of permissions. So, for example, Jake Paul and
Sam Altman let anyone deep fake them, whereas I let
(03:51):
no one deep fake me because I'm not comfortable with that.
Speaker 1 (03:54):
What does it look like to let someone deep fake
you on Sora?
Speaker 2 (03:57):
It looks like a version of you doing whatever they
prompted you to do. Now, there are safety features in place,
so you can't have them do anything violent, you can't
do anything sexual. But it's really up to open a
high to set those boundaries. And I don't think it's
completely accurate. I've made versions of myself that I think
don't look very much like me. I've made other versions
(04:19):
of myself that look a lot like me. That's really
up to luck, because as we'll learn, these models aren't deterministic.
There's a part of this that is random, so it's
not repeatable. So Jake Paul is a very good example.
There are a ton of AI videos of Jake Paul
right now. All of them look a little bit different,
but have his likeness, so you have to give permission
(04:42):
for someone to make a video of you through the
cameo feature.
Speaker 1 (04:44):
So would you say that AI video generation scares you, Like,
is it something that keeps you up at night?
Speaker 2 (04:51):
It's not because I'm doing something about it now, but
it really was, and I think it is keeping people
up at night because so much of our time is
spent on these short form video platforms like for better
or worse. I do think that it is the primary
way that people get information now. There was probably never
the best format for that information in the first place,
but here we are. So I think what keeps me
(05:13):
up is really general media literacy skills, and I think
of AI video as an extension of that. A lot
of people are kept up by what I think are
irrational fears about AI video, Like, in my opinion, it's
probably not going to be framing you for a crime
anytime soon, but it might turn the core of public
opinion against you. It might be spreading disinformation.
Speaker 1 (05:34):
Like.
Speaker 2 (05:34):
It's an extension of other media literacy problems, and it's
a very believable one because people when they are scrolling,
they're just there to tune out and scroll. They're not
there to pixel peep and really pay attention, right, I.
Speaker 1 (05:46):
Mean, you don't think that we are living in a
world where soon people could be framed for something they
didn't do using manipulated video.
Speaker 2 (05:54):
Well, I think that. I'm not a lawyer, but I've
done some looking into this, and the reality is that
in order for something to be admitted into evidence, at
least in the United States, it has to have an
extensive metadata trail. It has to be authenticated. You have
to get the person who filmed the video into the
courtroom to say that they filmed it. And we have
to understand that while our perception might be getting tricked,
(06:18):
there are procedural and mathematical ways that these can be detected.
So it is not undetectable yet. And anyone who says
it's undetectable is probably either selling you something or doesn't
have a good eye. And anyone who says it will
be undetectable does not know that, and frankly doesn't understand
the technology that's making these AI videos very well.
Speaker 1 (06:36):
In my opinion, and right now, your likeness is not shared.
Speaker 2 (06:41):
No, I have a strong, strong bias against this because
I believe that once your likeness gets out there and
is deepfakable, so to speak. It's really hard to pull
that back, not because you can't, like you can tell
people to stop, but once it's out there, I think
you lose a sense of trust. It's a line that
(07:01):
I just don't want to cross. I'm not comfortable crossing,
and I've actually told my followers I will never cross
that line because it's just not what I'm interested in.
Speaker 1 (07:10):
So I was hoping that you could show me how
to make a video using the Sora app.
Speaker 2 (07:15):
Sure, so this is the Sora desktop app. It is
not the vertical experience that you have, you know, on
the phone. It is, however, showing a lot of the
same content. So this is essentially the for you page
of Sora. And the thing to note here is that
there are Sora water marks over each one of these videos.
In the mobile experience, those water marks go away, but
(07:36):
they don't let you screen record in the mobile version,
Whereas theoretically anyone could do what I'm doing right now,
like I can share my screen here, I could record
my screen. When you see Sora videos on social media,
this is how they're being made.
Speaker 1 (07:49):
So let's try to make a Sora video. Let's do
skiing with candy.
Speaker 2 (07:56):
Skiing with Candy. You want me to just say that
and see what it comes up with. Yes, let's do it.
I think that's a great idea.
Speaker 1 (08:03):
Why do you think it's a good idea?
Speaker 2 (08:04):
Because so something that people aren't talking enough about with
Sora is that you can have a very simple prompt
and it can come up with something really creative. That's
really what, in my opinion, distinguishes it from other video models.
Google vo three was how a lot of AI content
was made a few weeks ago. If you don't give
(08:25):
Google vo three a good prompt, it's just boring, Whereas
Sora will go through some attempts to at least make
it entertaining anyway.
Speaker 1 (08:33):
It's just incredible to me that in a given three
weeks the world sort of changes.
Speaker 2 (08:38):
I think that there is a misconception that the world
just changed because video AI made a huge, undetectable leap.
It did make a step towards more realism. What soa
to really improved. Where a lot of the human parts
of video AI, such as hand movement or if they
(09:01):
have a missing limb, or if their teeth look weird,
or if their eyes look uncanny, hair like, there were
all these little things that people would pick on again,
a lot of them subconscious. Sura made a step towards
improving those things. It still has a lot of background issues.
It is actually a noisier or muddier looking model in
(09:22):
my opinion than video, but a lot of people aren't
looking for that. A lot of the videos that go
viral that are AI generated are security cams, our body
cams are go pro looking cameras, things that people aren't
looking at every day. But it really made improvements in
how good the outputs are to watch. Like story wise,
(09:46):
if you were to release Google vo three as a
social media app, it would fail just entirely because people
would get on there and unless you're a good prompter, like,
you're not going to come up with anything interesting. As
Sah made anyone getting into AI, it's possible for you
to come up with something interesting with a very basic prompt.
(10:06):
That's a really, really big innovation that they didn't talk about.
But I think that's why it's had such an impact
is because there's a huge volume of somewhat meaningful Sora
videos out there, whereas there really wasn't with VEO when
that came out right. So all right, so it came
up with skiing with candy. Let's see what Let's see
what I did here?
Speaker 1 (10:25):
Look what.
Speaker 2 (10:27):
Go mid slip snack classy and.
Speaker 3 (10:29):
A peppermint for the wind.
Speaker 1 (10:31):
Nothing like sweet feel to keep the turn smooth? Catch
you at the bottom.
Speaker 2 (10:35):
All right? What are your impressions?
Speaker 1 (10:37):
I just don't I'm sorry, this is Is it okay
that this is blowing my mind?
Speaker 2 (10:42):
It should okay?
Speaker 1 (10:43):
Good, it should blow your mind because I feel daft,
Like I feel like I can't wrap my head around this,
Like I'm assuming this woman in the video with her
ski mask on is not a real person.
Speaker 2 (10:54):
No, she's not a real person. And we don't know
how they invented her. They just came up with that.
Speaker 3 (10:58):
What so.
Speaker 2 (11:00):
So there are things about this that stick out to
me as obvious AI video. And then there are things
about this that I just have to say, wow, that
is incredible. So if I can just explain what I
see here someone who watches these, so please. She starts
out by skiing down the hill, but she's kind of
skiing like it's snowboarding. Then she stops. She has some
(11:21):
peppermints in her hand, she has some bags of candy
in her hand, and there are some weird things going
on here. But what it did with it is without
any input, it basically made a social media video with it.
It's like she's promoting this candy. There's someone responding to
her in the background. It invented a straw for her exactly.
(11:42):
It she talks like an influencer.
Speaker 1 (11:45):
I just it really trips me up that she's not
a real person, that this person does not exist in
the world. It's really weird.
Speaker 2 (11:51):
Same. I mean, I have to tell myself it's not
a real person.
Speaker 1 (11:54):
I mean, it would be like if you didn't exist.
Speaker 2 (11:56):
Yeah, it's That's the thing is, it's visually feels the
same as talking to another person online. Of course, there
are there are tells, so I'll get into those. So
first of all, you have just the context. Why is
she skiing down the hill with a bag of candy
and why is she just putting it in her mouth
with the wrappers. Then there are some artifacts that I
(12:17):
can see, especially at the beginning of the generation. Her
jacket and her pants are incredibly pixelated when it starts.
But the other thing here is that it's very noisy.
If we actually zoom in there's a lot of artifacts
in the mountains back there.
Speaker 1 (12:34):
It is weird how she's eating the candy. That's a
little uncanny.
Speaker 2 (12:37):
It's weird. Yeah, she's eating raft candy and the bag
there just stuck to her knee. Yeah, you know, so
at first it's a ziplock bag, then it's not a
ziplock bag, then it sticks to her knee. Her feet
are backwards, like her foot there is literally backwards in
this version. She doesn't have a foot like you know,
you get into it. It's kind of funny.
Speaker 1 (12:58):
But this is why you have such a large platfor
because like I look at this at first and I'm like, oh,
it's perfect. Like in a way, if I see the
trappings of what I think i'm seeing, I don't really
look for the detail that's wrong.
Speaker 2 (13:11):
Especially when you're just scrolling on TikTok or Instagram. You're
not looking for.
Speaker 1 (13:15):
Anything wrong, right, which is how they want you to
look at it, or scrolling on Sora.
Speaker 2 (13:18):
Or scrolling on Sora. A lot of them are leaving
Sara and making it out to all these platforms. Yeah,
you're not going to be looking for these things. I'm
totally aware of that. I mean, on first watch, are
you gonna pick out everything that's wrong with this? No,
But if you watch it five times and start zooming in,
you're gonna start noticing that her feet are literally backwards.
So yeah, when it comes down to it, I think
(13:41):
what's really very important about Sora is that it did
all that work for you. You didn't need to know
how to prompt the video. AI. If you were to
put skiing with candy into Google video, it's just going
to be boring. I'll just tell you that right now.
Speaker 1 (13:56):
So if I wanted this video, this exact video, for three,
what would I have to prompt it to do?
Speaker 2 (14:04):
You'd have to act like a camera director. You'd have
to say, video starting with women skiing down the slope.
She is wearing a pink and yellow top, a turquoise bottom,
She's holding a bag of candy in her right hand,
pepperminster her left hand, and you'd have to go shot
by shot to give it. I can actually show you
(14:24):
something that I came up with that more clearly demonstrates
this point. So this is a video I made yesterday
with the prompt epic anime of Diego Maradonna scoring a
goal in the world cup, weaving.
Speaker 1 (14:36):
Past one, still going two. Defender's beaten. He won't announcers.
Speaker 2 (14:42):
This is him dribbling through an entire defense. It is
an epic looking anime. Anime. People would say it doesn't
look great, but normal people probably wouldn't notice it. And
what blew me away about this is that it created
Diego Maradonna's most famous goal and it added the announcers.
(15:02):
I didn't tell it to do any of that. Now,
if I compare that to what Google Vio did with
the exact same prompt it did this, this.
Speaker 1 (15:15):
One is b team.
Speaker 2 (15:16):
It is. The quality of the video is actually better,
but it didn't make it interesting. So again, that's why
you're seeing so much, Sarah, as you don't need to
be very creative.
Speaker 1 (15:27):
What are the implications of a social media app being
designed and housing videos full of fake people? Like it's
just crazy to me that I can watch a video
of someone who doesn't exist.
Speaker 2 (15:37):
I think that we don't know the implications, and I
would push back on it being like our inevitable future
a bit, but I would say that it is normalizing
deep faking, and I don't think we know what that
will mean for us. But I don't think it'll be good.
I think it might be entertaining, I think it might
(15:59):
be interesting. It is certainly a technical achievement, but I
don't consider it to be a technological advancement. I'm not
so sure it is progress. But it is a pretty
incredible thing that they've been able to pull off, and
I think that it is rational for people to look
at these videos and be pretty freaked out. And that's
(16:21):
what a lot of my comments are because what isn't
clear is how this is going to improve social media
in anyway, to improve our media literacy skills in any way.
There are definitely tech advancements here that can improve advancements
towards artificial general intelligence, like there are technical reasons that
(16:42):
this could be helpful in the future. But the step
that open Aye took to release this in a social
media app was a huge jump, in my opinion, in
the wrong direction. But the technology is here to stay
for sure.
Speaker 1 (17:03):
After the break, will we become desensitized to deep fakes?
Speaker 3 (17:08):
Stay with us?
Speaker 1 (17:27):
One thing that I can't really get over about sore
Too is that Sam Altman is letting anybody use his likeness.
He opened his likeness to any sor user, so I
could say Sam Altman building a snowman for example, why
do this, Like, as the head of the company.
Speaker 2 (17:45):
I can only guess. I think that it is generally
just attempt at normalizing deep baking people, and I think
people should be really scared of crossing that line. I
think it's a serious thing to do, and I think
open pushing everyone in that direction before anyone was even
asking for it is really frightening. You could create deep
(18:08):
fakes of people before there was the technology to do it.
There was a lot of friction and social pressure not
to do it. That friction was helpful in keeping our
information economy healthy. Even with safety features on the Sora
app of like letting letting you set permissions, people are
gonna mess that up. People won't know that they can
(18:28):
be deepfaked, and of course that's their responsibility to know.
But you've just opened up an entire can of worms.
There are other issues here, like currently you can't delete
your Sora account without deleting your entire JATGPT account.
Speaker 3 (18:40):
Wow.
Speaker 2 (18:41):
And again like you can't pull this back, Like in
theory you could stop people. But if you are a
public figure and you open up this can of worms,
it could really backfire. So it's Sora accelerating this deep
fake idea into a space that just hasn't been that
full explored yet. And I don't think i'd want to
be inly adopter of this because there's a lot of negative,
(19:03):
like downside risk that I just don't think we figured
out yet.
Speaker 1 (19:06):
So you have a video where you talk about how
SOA is actually costing open Ai about one dollar per post?
Can you explain that calculation and what it means for
Sora long term?
Speaker 2 (19:17):
This was an educated guest that ended up being right.
Every video you create is basically on open AI's dime. So,
for example, two weeks ago, if I, as a creator
wanted to post an Ai video to TikTok or Instagram,
I would have to pay a subscription to make that
video and download it or pay per post. So there
(19:37):
are commodity prices for these video models. For Google vo
it's a dollar fifty to three dollars. Sora is currently
around a dollar. But the Sora application is free, and
anytime you create an Ai video on that it is
free to you. So as always I would ask the question,
(19:57):
if it is free, are you the product? And I'm
this case they are taking your data, they're taking your
face scans, they're taking your props. Right, so there's that
question of why are they doing this? Of course they're
also doing it to get users. But imagine you were
TikTok or Instagram and every single time someone posted a
video on your site you needed to pay a dollar.
(20:18):
How quickly is that going to add up? For Sora?
Speaker 1 (20:21):
Very quickly?
Speaker 2 (20:22):
Would advertisers be able to make up that difference? Are
you going to need subscribers to help make up with
that difference? I mean, video takes a ton of compute.
It is costing them GPU compute, it is costing them
opportunity costs. The GPUs could be used for other things, right,
So the fact that they chose a video social media
(20:42):
app where every time someone posts on your platform it's
costing you money is pretty confusing to me as someone
who understands that those advertiser clicks are not even close
to worth that much.
Speaker 1 (20:53):
My question is, is your sam Altman, you oversee the
most popular or AI tool on the market, Why are
you going into social media?
Speaker 2 (21:06):
You're asking the right question that I think even open
AI's own employees are asking. There has been some reporting
on even open AI people being confused by this. At
the end of the day, TikTok is releasing an AI generator,
I get ads for that all the time. YouTube is
putting Google vo three into YouTube shorts. Everyone's looking at
(21:26):
this as how do we build like the AI video feed?
And it appears to me the rationale would be to
generate some sort of advertiser revenue. I think that would
be the simple answer. But whether or not that actually
works is a huge open question.
Speaker 1 (21:44):
So in the future, say, Sora, the app is running
ads between videos.
Speaker 2 (21:48):
Yeah, absolutely interesting.
Speaker 1 (21:51):
So in one of your videos, you say that AI
will end social media? What do you mean by that?
Speaker 2 (21:57):
I think it has the potential to end the four
you page as we know it, unless the social media
companies figure out a way to filter AI content. Again,
we do not know how people are going to react
to this when it's deployed much wider. But it is
a rational thing to not want to only see AI
(22:18):
slop in your feed. And I say AI slop because
it's bad. Let's assume even that it's better. Let's assume
that AI video were indistinguishable. If that were the case,
would you actually want more of it in your feed,
or would you want to turn it off even more.
I don't think that we know the answers to these questions,
but it's very likely that if companies that are running
(22:41):
these platforms can't figure out a way to filter out
AI content, there's a part of the population that's going
to start tuning out. There's also advertisers that might be
scared by that, So I do think it's an existential
threat to the for you page. I think it actually
might be a boon for this subscriber or substack type communities,
(23:02):
like I think thatsting when people start rushing towards people
that they trust, I think that that could be a really,
really positive thing. I'll say for me, one of the
things that I would be looking at if I were
an AI creator is the fact that because Sora too
is so good at making videos, it lowered the barrier
of entries so far that I don't think open ai
(23:22):
is that far from generating their own feed. You know,
if you can make an interesting video with only two sentences, well,
chat gbt can make two sentences. They're collecting everyone's prompts,
they're seeing what gets likes and engagement on Sora. I
don't understand why they would need a human in the
loop soon.
Speaker 1 (23:41):
I believe there's Actually we were just covering a story
in the Financial Times about gen Z being less on
social media, and I think a lot of it has
to do with the sort of enthitification of the feed.
And I see a lot of people kind of resigned
to the fact that going on Instagram means scrolling through
a lot of shit, and a lot of shit that's
(24:01):
AI generated. It's no longer social media. It's like watching
fake video. Yeah, it's hyper and shitification. It is the
most and shittified feed you could possibly have. And I
am totally agreeing that there will be people who are
super down with that and who are going to enjoy it.
Speaker 2 (24:20):
Again, there are people who enjoy this. I don't want
to say that they're doing the wrong thing by enjoying
AI video a.
Speaker 1 (24:26):
Fruit cutting another fruit, something like that.
Speaker 2 (24:29):
Yeah, Like, I'm not here to judge what people are watching.
But if you play this out to its logical conclusion, here,
it looks like social media companies generating their own videos
without creators in the middle, for a hyper and shitified feed.
Speaker 1 (24:47):
So five to ten years is a huge difference. So
let's just say, five years from now, what do you
think the state of AI video looks like, and what
does it mean for the Internet, for politics, and just
us generally as a culture.
Speaker 2 (25:00):
If we project the current growth out, it is indistinguishable
and everywhere. If we take a contrarian view, we can
see that people might not be into it and it
might lose a lot of money. We don't know which
direction it's going to go, and I don't claim to
be able to tell which direction we're going in. But
(25:21):
in that first scenario where it's indistinguishable, it'll still be
distinguishable by machine learning algorithms, It'll still be detectable by experts.
I still don't think it presents legal problems, but it
presents massive disinformation problems. I'm very scared about that. And
then there's another scenario which I think is a little
(25:41):
bit more optimistic, which I actually subscribe to, which is
that AI content becomes its own genre. There are companies
that figure out a way to monetize it. It stays
separate from our real feeds to whatever degree the viewer wants.
And I think that this is the optimistic vision, and
that a lot of the tech community believes in too,
(26:02):
and that Sam Altman would probably say, you know, he's
been asked about this, He's been asked, how do we
tell what's real or fake? And I actually didn't hate
his answer. He said, well, just like we've always told
we follow the people we trust, like we have human
communication networks. Now, I think that his accelerationist view is
kind of running against that a little bit, but I
do believe that at its core, that's how we're going
(26:22):
to figure this out, and it might push people less online.
Like I just think that there's just so many unanswered questions.
But yeah, there's a few different scenarios that right now,
I think we just have to flip a coin on
which one we believe in.
Speaker 1 (26:37):
So you said the reason that you got interested in
understanding AI video was as a tool for production. When
that was the case, what were you excited about and
sort of why has that now changed for you.
Speaker 2 (26:50):
I was excited about it lowering the grounds to doing
creative things. I have a green screen studio in my basement.
I was excited about it, you know, putting me in
different types of stud and different types of environments. I
was excited about it improving my graphics workflows. What started
steering me away from it. It was some of the
ethical concerns. I did realize that at the end of
(27:12):
the day, like this was mostly stolen information. It was
actually not that much more useful than the actual room
I'm in right now, Like I can make a decent
studio myself. And really what made me turn was just
using the tools. I think a lot of the people
who are using them, who come from my background, realize
(27:36):
that they aren't very fun tools to use. It's not
a creative process for me. It's really frustrating.
Speaker 1 (27:42):
Well, you just type something in.
Speaker 2 (27:43):
You just type something in, and you hope it comes
back the way you want it. It's like if because
I have a history as a director, it is like
every time I needed to tell the actor exactly what
to say, exactly how to deliver it, over and over
and over. And as a creative person and as a director,
I just want to collaborate with people who bring something
to the table. I don't want to bring everything to
(28:04):
the table myself. I don't want to tell everyone how
to do everything right. That's not what the process of
creating ever was. It was always about collaboration. It was
always a fun process. I find the idea of just
sitting in my basement creating AI videos with text is
just it's exhausting. It doesn't feel creative at all. So
but I'm not saying that people should hate every AI
(28:26):
video they see, like some of them can be creative.
But yeah, it's just taking that opportunity to train yourself
to see what these video models look like. Because if
you're into it, that's totally fine, but then you're at
least ready for when it is used for disinformation, which
I think is enough of ball at this point.
Speaker 1 (28:41):
Well, thank you so much, Jeremy. I will be tuned
into your feed. You are I don't know what I
would call you. Is it vigilante justice? I don't think so.
But you're doing some kind of public service education education.
Speaker 3 (28:55):
You're an educator, Yeah, there you go.
Speaker 1 (28:57):
You're an AI educator.
Speaker 3 (28:58):
Yeah, for tech stuff.
Speaker 1 (29:22):
I'm Kara Price. This episode was produced by Eliza Dennis,
Melissa Slaughter, and Tyler Hill. It was executive produced by
me oswa Oshan, Julia Nutter, and Kate Osborne for Kaleidoscope
and Katrina Norvell for iHeart Podcasts. Kyle Murdoch mixed this
episode and wrote our theme song. Join us on Friday
for the week in tech oz and I will run
through the headlines you may have missed. Please rate, review,
(29:44):
and reach out to us at tech Stuff Podcast at
gmail dot com.
Class. Welcome to tech Stuff. I'm Kara Price. Today's interview
is all about Sora, the video generation tool and invite
only social media app that Open Ai released at the
beginning of October. If you're on TikTok, Instagram, or x
you've likely seen videos made by Sora plastered all over
(00:30):
your feeds. These videos ranged from the absurd cats dancing
by a dumpster with sunglasses on to hyper realistic like
Queen Elizabeth trying jerk chicken in Jamaica. When I first
saw these videos, I was entertained by the absurdist ones
and kind of floored by the realistic ones. To me,
Sora signals that we have officially entered the post bunny
(00:51):
trampoline internet. Yeah, I'm talking about the AI video of
the Horde of Bunnies jumping on a trampoline in the dark.
I was very convinced that this video was real, and
so were many people, which led to a mini panic.
Is it even possible to detect what's fake and what's
not anymore? That's where my guest today comes in. His
name is Jeremy Carrasco and he runs multiple social media
(01:13):
accounts under the name show Tools AI.
Speaker 2 (01:16):
The idea that we can't tell what's real or not
because of AI video is so far definitely.
Speaker 1 (01:21):
Not the case. He has only been a full time
creator for four months, but he has become a trusted
source for dissecting viral AI videos and explaining the tells.
Speaker 2 (01:31):
There is a physical truth to shooting a video with
a camera. That physical truth isn't going away, and AI
does a version that to our eyes look like that
physical truth. But upon examination you can figure out that
these things break down. And I do think that any
(01:51):
normal person with decent eyesight can zoom into these AI
videos and figure that out.
Speaker 1 (01:57):
So Jeremy wants his social videos to be education. He
wants more people to get excited by what he calls
pixel peeping, and he wants to improve people's media literacy
and hopes his accounts can help people tune their AI
vibe checker.
Speaker 2 (02:11):
I'm not naive to the fact that people aren't going
to be pixel peeping on the videos that they watch,
So it's just about trying to tune people's initial impressions
so that they have something in their head that says ey,
something might not be right here, and then they can use,
hopefully other media skills that I teach them. In order
to dive a little.
Speaker 1 (02:28):
Bit deeper, I talk to Jeremy about so many things,
how video generation tools work, how to pick up on AI, tells,
why Sora is an inflection point for the Internet, and
what this signals for the future of social media. I
started out by asking Jeremy to clarify what Sora is
and what it does.
Speaker 2 (02:47):
So. Sora was originally released as Openay's first video model
in October twenty twenty five. They reuse the Sora name
to launch their social media app. A lot of the
hype has been around a Sora app, which is currently
invite only, and then there's the Sora TOI model that
you can already access if you have API access or
(03:08):
if you're a developer or even a normal person. There
are tools that let you generate a video with the
Sora to video model without an invite. The Sora app
experience is very unique in some ways and very familiar
in others. It does feel like a TikTok for you
page just for AI videos. You can scroll, it has
(03:30):
an algorithm to suggest But what's gotten a lot of
the tension is the ability to cameo someone, but really,
these are just deep bakes. Like you're creating deep fakes
of your friends. You're creating deep bakes of whoever lets
you create a deep bake of them, And you have
different levels of permissions. So, for example, Jake Paul and
Sam Altman let anyone deep fake them, whereas I let
(03:51):
no one deep fake me because I'm not comfortable with that.
Speaker 1 (03:54):
What does it look like to let someone deep fake
you on Sora?
Speaker 2 (03:57):
It looks like a version of you doing whatever they
prompted you to do. Now, there are safety features in place,
so you can't have them do anything violent, you can't
do anything sexual. But it's really up to open a
high to set those boundaries. And I don't think it's
completely accurate. I've made versions of myself that I think
don't look very much like me. I've made other versions
(04:19):
of myself that look a lot like me. That's really
up to luck, because as we'll learn, these models aren't deterministic.
There's a part of this that is random, so it's
not repeatable. So Jake Paul is a very good example.
There are a ton of AI videos of Jake Paul
right now. All of them look a little bit different,
but have his likeness, so you have to give permission
(04:42):
for someone to make a video of you through the
cameo feature.
Speaker 1 (04:44):
So would you say that AI video generation scares you, Like,
is it something that keeps you up at night?
Speaker 2 (04:51):
It's not because I'm doing something about it now, but
it really was, and I think it is keeping people
up at night because so much of our time is
spent on these short form video platforms like for better
or worse. I do think that it is the primary
way that people get information now. There was probably never
the best format for that information in the first place,
but here we are. So I think what keeps me
(05:13):
up is really general media literacy skills, and I think
of AI video as an extension of that. A lot
of people are kept up by what I think are
irrational fears about AI video, Like, in my opinion, it's
probably not going to be framing you for a crime
anytime soon, but it might turn the core of public
opinion against you. It might be spreading disinformation.
Speaker 1 (05:34):
Like.
Speaker 2 (05:34):
It's an extension of other media literacy problems, and it's
a very believable one because people when they are scrolling,
they're just there to tune out and scroll. They're not
there to pixel peep and really pay attention, right, I.
Speaker 1 (05:46):
Mean, you don't think that we are living in a
world where soon people could be framed for something they
didn't do using manipulated video.
Speaker 2 (05:54):
Well, I think that. I'm not a lawyer, but I've
done some looking into this, and the reality is that
in order for something to be admitted into evidence, at
least in the United States, it has to have an
extensive metadata trail. It has to be authenticated. You have
to get the person who filmed the video into the
courtroom to say that they filmed it. And we have
to understand that while our perception might be getting tricked,
(06:18):
there are procedural and mathematical ways that these can be detected.
So it is not undetectable yet. And anyone who says
it's undetectable is probably either selling you something or doesn't
have a good eye. And anyone who says it will
be undetectable does not know that, and frankly doesn't understand
the technology that's making these AI videos very well.
Speaker 1 (06:36):
In my opinion, and right now, your likeness is not shared.
Speaker 2 (06:41):
No, I have a strong, strong bias against this because
I believe that once your likeness gets out there and
is deepfakable, so to speak. It's really hard to pull
that back, not because you can't, like you can tell
people to stop, but once it's out there, I think
you lose a sense of trust. It's a line that
(07:01):
I just don't want to cross. I'm not comfortable crossing,
and I've actually told my followers I will never cross
that line because it's just not what I'm interested in.
Speaker 1 (07:10):
So I was hoping that you could show me how
to make a video using the Sora app.
Speaker 2 (07:15):
Sure, so this is the Sora desktop app. It is
not the vertical experience that you have, you know, on
the phone. It is, however, showing a lot of the
same content. So this is essentially the for you page
of Sora. And the thing to note here is that
there are Sora water marks over each one of these videos.
In the mobile experience, those water marks go away, but
(07:36):
they don't let you screen record in the mobile version,
Whereas theoretically anyone could do what I'm doing right now,
like I can share my screen here, I could record
my screen. When you see Sora videos on social media,
this is how they're being made.
Speaker 1 (07:49):
So let's try to make a Sora video. Let's do
skiing with candy.
Speaker 2 (07:56):
Skiing with Candy. You want me to just say that
and see what it comes up with. Yes, let's do it.
I think that's a great idea.
Speaker 1 (08:03):
Why do you think it's a good idea?
Speaker 2 (08:04):
Because so something that people aren't talking enough about with
Sora is that you can have a very simple prompt
and it can come up with something really creative. That's
really what, in my opinion, distinguishes it from other video models.
Google vo three was how a lot of AI content
was made a few weeks ago. If you don't give
(08:25):
Google vo three a good prompt, it's just boring, Whereas
Sora will go through some attempts to at least make
it entertaining anyway.
Speaker 1 (08:33):
It's just incredible to me that in a given three
weeks the world sort of changes.
Speaker 2 (08:38):
I think that there is a misconception that the world
just changed because video AI made a huge, undetectable leap.
It did make a step towards more realism. What soa
to really improved. Where a lot of the human parts
of video AI, such as hand movement or if they
(09:01):
have a missing limb, or if their teeth look weird,
or if their eyes look uncanny, hair like, there were
all these little things that people would pick on again,
a lot of them subconscious. Sura made a step towards
improving those things. It still has a lot of background issues.
It is actually a noisier or muddier looking model in
(09:22):
my opinion than video, but a lot of people aren't
looking for that. A lot of the videos that go
viral that are AI generated are security cams, our body
cams are go pro looking cameras, things that people aren't
looking at every day. But it really made improvements in
how good the outputs are to watch. Like story wise,
(09:46):
if you were to release Google vo three as a
social media app, it would fail just entirely because people
would get on there and unless you're a good prompter, like,
you're not going to come up with anything interesting. As
Sah made anyone getting into AI, it's possible for you
to come up with something interesting with a very basic prompt.
(10:06):
That's a really, really big innovation that they didn't talk about.
But I think that's why it's had such an impact
is because there's a huge volume of somewhat meaningful Sora
videos out there, whereas there really wasn't with VEO when
that came out right. So all right, so it came
up with skiing with candy. Let's see what Let's see
what I did here?
Speaker 1 (10:25):
Look what.
Speaker 2 (10:27):
Go mid slip snack classy and.
Speaker 3 (10:29):
A peppermint for the wind.
Speaker 1 (10:31):
Nothing like sweet feel to keep the turn smooth? Catch
you at the bottom.
Speaker 2 (10:35):
All right? What are your impressions?
Speaker 1 (10:37):
I just don't I'm sorry, this is Is it okay
that this is blowing my mind?
Speaker 2 (10:42):
It should okay?
Speaker 1 (10:43):
Good, it should blow your mind because I feel daft,
Like I feel like I can't wrap my head around this,
Like I'm assuming this woman in the video with her
ski mask on is not a real person.
Speaker 2 (10:54):
No, she's not a real person. And we don't know
how they invented her. They just came up with that.
Speaker 3 (10:58):
What so.
Speaker 2 (11:00):
So there are things about this that stick out to
me as obvious AI video. And then there are things
about this that I just have to say, wow, that
is incredible. So if I can just explain what I
see here someone who watches these, so please. She starts
out by skiing down the hill, but she's kind of
skiing like it's snowboarding. Then she stops. She has some
(11:21):
peppermints in her hand, she has some bags of candy
in her hand, and there are some weird things going
on here. But what it did with it is without
any input, it basically made a social media video with it.
It's like she's promoting this candy. There's someone responding to
her in the background. It invented a straw for her exactly.
(11:42):
It she talks like an influencer.
Speaker 1 (11:45):
I just it really trips me up that she's not
a real person, that this person does not exist in
the world. It's really weird.
Speaker 2 (11:51):
Same. I mean, I have to tell myself it's not
a real person.
Speaker 1 (11:54):
I mean, it would be like if you didn't exist.
Speaker 2 (11:56):
Yeah, it's That's the thing is, it's visually feels the
same as talking to another person online. Of course, there
are there are tells, so I'll get into those. So
first of all, you have just the context. Why is
she skiing down the hill with a bag of candy
and why is she just putting it in her mouth
with the wrappers. Then there are some artifacts that I
(12:17):
can see, especially at the beginning of the generation. Her
jacket and her pants are incredibly pixelated when it starts.
But the other thing here is that it's very noisy.
If we actually zoom in there's a lot of artifacts
in the mountains back there.
Speaker 1 (12:34):
It is weird how she's eating the candy. That's a
little uncanny.
Speaker 2 (12:37):
It's weird. Yeah, she's eating raft candy and the bag
there just stuck to her knee. Yeah, you know, so
at first it's a ziplock bag, then it's not a
ziplock bag, then it sticks to her knee. Her feet
are backwards, like her foot there is literally backwards in
this version. She doesn't have a foot like you know,
you get into it. It's kind of funny.
Speaker 1 (12:58):
But this is why you have such a large platfor
because like I look at this at first and I'm like, oh,
it's perfect. Like in a way, if I see the
trappings of what I think i'm seeing, I don't really
look for the detail that's wrong.
Speaker 2 (13:11):
Especially when you're just scrolling on TikTok or Instagram. You're
not looking for.
Speaker 1 (13:15):
Anything wrong, right, which is how they want you to
look at it, or scrolling on Sora.
Speaker 2 (13:18):
Or scrolling on Sora. A lot of them are leaving
Sara and making it out to all these platforms. Yeah,
you're not going to be looking for these things. I'm
totally aware of that. I mean, on first watch, are
you gonna pick out everything that's wrong with this? No,
But if you watch it five times and start zooming in,
you're gonna start noticing that her feet are literally backwards.
So yeah, when it comes down to it, I think
(13:41):
what's really very important about Sora is that it did
all that work for you. You didn't need to know
how to prompt the video. AI. If you were to
put skiing with candy into Google video, it's just going
to be boring. I'll just tell you that right now.
Speaker 1 (13:56):
So if I wanted this video, this exact video, for three,
what would I have to prompt it to do?
Speaker 2 (14:04):
You'd have to act like a camera director. You'd have
to say, video starting with women skiing down the slope.
She is wearing a pink and yellow top, a turquoise bottom,
She's holding a bag of candy in her right hand,
pepperminster her left hand, and you'd have to go shot
by shot to give it. I can actually show you
(14:24):
something that I came up with that more clearly demonstrates
this point. So this is a video I made yesterday
with the prompt epic anime of Diego Maradonna scoring a
goal in the world cup, weaving.
Speaker 1 (14:36):
Past one, still going two. Defender's beaten. He won't announcers.
Speaker 2 (14:42):
This is him dribbling through an entire defense. It is
an epic looking anime. Anime. People would say it doesn't
look great, but normal people probably wouldn't notice it. And
what blew me away about this is that it created
Diego Maradonna's most famous goal and it added the announcers.
(15:02):
I didn't tell it to do any of that. Now,
if I compare that to what Google Vio did with
the exact same prompt it did this, this.
Speaker 1 (15:15):
One is b team.
Speaker 2 (15:16):
It is. The quality of the video is actually better,
but it didn't make it interesting. So again, that's why
you're seeing so much, Sarah, as you don't need to
be very creative.
Speaker 1 (15:27):
What are the implications of a social media app being
designed and housing videos full of fake people? Like it's
just crazy to me that I can watch a video
of someone who doesn't exist.
Speaker 2 (15:37):
I think that we don't know the implications, and I
would push back on it being like our inevitable future
a bit, but I would say that it is normalizing
deep faking, and I don't think we know what that
will mean for us. But I don't think it'll be good.
I think it might be entertaining, I think it might
(15:59):
be interesting. It is certainly a technical achievement, but I
don't consider it to be a technological advancement. I'm not
so sure it is progress. But it is a pretty
incredible thing that they've been able to pull off, and
I think that it is rational for people to look
at these videos and be pretty freaked out. And that's
(16:21):
what a lot of my comments are because what isn't
clear is how this is going to improve social media
in anyway, to improve our media literacy skills in any way.
There are definitely tech advancements here that can improve advancements
towards artificial general intelligence, like there are technical reasons that
(16:42):
this could be helpful in the future. But the step
that open Aye took to release this in a social
media app was a huge jump, in my opinion, in
the wrong direction. But the technology is here to stay
for sure.
Speaker 1 (17:03):
After the break, will we become desensitized to deep fakes?
Speaker 3 (17:08):
Stay with us?
Speaker 1 (17:27):
One thing that I can't really get over about sore
Too is that Sam Altman is letting anybody use his likeness.
He opened his likeness to any sor user, so I
could say Sam Altman building a snowman for example, why
do this, Like, as the head of the company.
Speaker 2 (17:45):
I can only guess. I think that it is generally
just attempt at normalizing deep baking people, and I think
people should be really scared of crossing that line. I
think it's a serious thing to do, and I think
open pushing everyone in that direction before anyone was even
asking for it is really frightening. You could create deep
(18:08):
fakes of people before there was the technology to do it.
There was a lot of friction and social pressure not
to do it. That friction was helpful in keeping our
information economy healthy. Even with safety features on the Sora
app of like letting letting you set permissions, people are
gonna mess that up. People won't know that they can
(18:28):
be deepfaked, and of course that's their responsibility to know.
But you've just opened up an entire can of worms.
There are other issues here, like currently you can't delete
your Sora account without deleting your entire JATGPT account.
Speaker 3 (18:40):
Wow.
Speaker 2 (18:41):
And again like you can't pull this back, Like in
theory you could stop people. But if you are a
public figure and you open up this can of worms,
it could really backfire. So it's Sora accelerating this deep
fake idea into a space that just hasn't been that
full explored yet. And I don't think i'd want to
be inly adopter of this because there's a lot of negative,
(19:03):
like downside risk that I just don't think we figured
out yet.
Speaker 1 (19:06):
So you have a video where you talk about how
SOA is actually costing open Ai about one dollar per post?
Can you explain that calculation and what it means for
Sora long term?
Speaker 2 (19:17):
This was an educated guest that ended up being right.
Every video you create is basically on open AI's dime. So,
for example, two weeks ago, if I, as a creator
wanted to post an Ai video to TikTok or Instagram,
I would have to pay a subscription to make that
video and download it or pay per post. So there
(19:37):
are commodity prices for these video models. For Google vo
it's a dollar fifty to three dollars. Sora is currently
around a dollar. But the Sora application is free, and
anytime you create an Ai video on that it is
free to you. So as always I would ask the question,
(19:57):
if it is free, are you the product? And I'm
this case they are taking your data, they're taking your
face scans, they're taking your props. Right, so there's that
question of why are they doing this? Of course they're
also doing it to get users. But imagine you were
TikTok or Instagram and every single time someone posted a
video on your site you needed to pay a dollar.
(20:18):
How quickly is that going to add up? For Sora?
Speaker 1 (20:21):
Very quickly?
Speaker 2 (20:22):
Would advertisers be able to make up that difference? Are
you going to need subscribers to help make up with
that difference? I mean, video takes a ton of compute.
It is costing them GPU compute, it is costing them
opportunity costs. The GPUs could be used for other things, right,
So the fact that they chose a video social media
(20:42):
app where every time someone posts on your platform it's
costing you money is pretty confusing to me as someone
who understands that those advertiser clicks are not even close
to worth that much.
Speaker 1 (20:53):
My question is, is your sam Altman, you oversee the
most popular or AI tool on the market, Why are
you going into social media?
Speaker 2 (21:06):
You're asking the right question that I think even open
AI's own employees are asking. There has been some reporting
on even open AI people being confused by this. At
the end of the day, TikTok is releasing an AI generator,
I get ads for that all the time. YouTube is
putting Google vo three into YouTube shorts. Everyone's looking at
(21:26):
this as how do we build like the AI video feed?
And it appears to me the rationale would be to
generate some sort of advertiser revenue. I think that would
be the simple answer. But whether or not that actually
works is a huge open question.
Speaker 1 (21:44):
So in the future, say, Sora, the app is running
ads between videos.
Speaker 2 (21:48):
Yeah, absolutely interesting.
Speaker 1 (21:51):
So in one of your videos, you say that AI
will end social media? What do you mean by that?
Speaker 2 (21:57):
I think it has the potential to end the four
you page as we know it, unless the social media
companies figure out a way to filter AI content. Again,
we do not know how people are going to react
to this when it's deployed much wider. But it is
a rational thing to not want to only see AI
(22:18):
slop in your feed. And I say AI slop because
it's bad. Let's assume even that it's better. Let's assume
that AI video were indistinguishable. If that were the case,
would you actually want more of it in your feed,
or would you want to turn it off even more.
I don't think that we know the answers to these questions,
but it's very likely that if companies that are running
(22:41):
these platforms can't figure out a way to filter out
AI content, there's a part of the population that's going
to start tuning out. There's also advertisers that might be
scared by that, So I do think it's an existential
threat to the for you page. I think it actually
might be a boon for this subscriber or substack type communities,
(23:02):
like I think thatsting when people start rushing towards people
that they trust, I think that that could be a really,
really positive thing. I'll say for me, one of the
things that I would be looking at if I were
an AI creator is the fact that because Sora too
is so good at making videos, it lowered the barrier
of entries so far that I don't think open ai
(23:22):
is that far from generating their own feed. You know,
if you can make an interesting video with only two sentences, well,
chat gbt can make two sentences. They're collecting everyone's prompts,
they're seeing what gets likes and engagement on Sora. I
don't understand why they would need a human in the
loop soon.
Speaker 1 (23:41):
I believe there's Actually we were just covering a story
in the Financial Times about gen Z being less on
social media, and I think a lot of it has
to do with the sort of enthitification of the feed.
And I see a lot of people kind of resigned
to the fact that going on Instagram means scrolling through
a lot of shit, and a lot of shit that's
(24:01):
AI generated. It's no longer social media. It's like watching
fake video. Yeah, it's hyper and shitification. It is the
most and shittified feed you could possibly have. And I
am totally agreeing that there will be people who are
super down with that and who are going to enjoy it.
Speaker 2 (24:20):
Again, there are people who enjoy this. I don't want
to say that they're doing the wrong thing by enjoying
AI video a.
Speaker 1 (24:26):
Fruit cutting another fruit, something like that.
Speaker 2 (24:29):
Yeah, Like, I'm not here to judge what people are watching.
But if you play this out to its logical conclusion, here,
it looks like social media companies generating their own videos
without creators in the middle, for a hyper and shitified feed.
Speaker 1 (24:47):
So five to ten years is a huge difference. So
let's just say, five years from now, what do you
think the state of AI video looks like, and what
does it mean for the Internet, for politics, and just
us generally as a culture.
Speaker 2 (25:00):
If we project the current growth out, it is indistinguishable
and everywhere. If we take a contrarian view, we can
see that people might not be into it and it
might lose a lot of money. We don't know which
direction it's going to go, and I don't claim to
be able to tell which direction we're going in. But
(25:21):
in that first scenario where it's indistinguishable, it'll still be
distinguishable by machine learning algorithms, It'll still be detectable by experts.
I still don't think it presents legal problems, but it
presents massive disinformation problems. I'm very scared about that. And
then there's another scenario which I think is a little
(25:41):
bit more optimistic, which I actually subscribe to, which is
that AI content becomes its own genre. There are companies
that figure out a way to monetize it. It stays
separate from our real feeds to whatever degree the viewer wants.
And I think that this is the optimistic vision, and
that a lot of the tech community believes in too,
(26:02):
and that Sam Altman would probably say, you know, he's
been asked about this, He's been asked, how do we
tell what's real or fake? And I actually didn't hate
his answer. He said, well, just like we've always told
we follow the people we trust, like we have human
communication networks. Now, I think that his accelerationist view is
kind of running against that a little bit, but I
do believe that at its core, that's how we're going
(26:22):
to figure this out, and it might push people less online.
Like I just think that there's just so many unanswered questions.
But yeah, there's a few different scenarios that right now,
I think we just have to flip a coin on
which one we believe in.
Speaker 1 (26:37):
So you said the reason that you got interested in
understanding AI video was as a tool for production. When
that was the case, what were you excited about and
sort of why has that now changed for you.
Speaker 2 (26:50):
I was excited about it lowering the grounds to doing
creative things. I have a green screen studio in my basement.
I was excited about it, you know, putting me in
different types of stud and different types of environments. I
was excited about it improving my graphics workflows. What started
steering me away from it. It was some of the
ethical concerns. I did realize that at the end of
(27:12):
the day, like this was mostly stolen information. It was
actually not that much more useful than the actual room
I'm in right now, Like I can make a decent
studio myself. And really what made me turn was just
using the tools. I think a lot of the people
who are using them, who come from my background, realize
(27:36):
that they aren't very fun tools to use. It's not
a creative process for me. It's really frustrating.
Speaker 1 (27:42):
Well, you just type something in.
Speaker 2 (27:43):
You just type something in, and you hope it comes
back the way you want it. It's like if because
I have a history as a director, it is like
every time I needed to tell the actor exactly what
to say, exactly how to deliver it, over and over
and over. And as a creative person and as a director,
I just want to collaborate with people who bring something
to the table. I don't want to bring everything to
(28:04):
the table myself. I don't want to tell everyone how
to do everything right. That's not what the process of
creating ever was. It was always about collaboration. It was
always a fun process. I find the idea of just
sitting in my basement creating AI videos with text is
just it's exhausting. It doesn't feel creative at all. So
but I'm not saying that people should hate every AI
(28:26):
video they see, like some of them can be creative.
But yeah, it's just taking that opportunity to train yourself
to see what these video models look like. Because if
you're into it, that's totally fine, but then you're at
least ready for when it is used for disinformation, which
I think is enough of ball at this point.
Speaker 1 (28:41):
Well, thank you so much, Jeremy. I will be tuned
into your feed. You are I don't know what I
would call you. Is it vigilante justice? I don't think so.
But you're doing some kind of public service education education.
Speaker 3 (28:55):
You're an educator, Yeah, there you go.
Speaker 1 (28:57):
You're an AI educator.
Speaker 3 (28:58):
Yeah, for tech stuff.
Speaker 1 (29:22):
I'm Kara Price. This episode was produced by Eliza Dennis,
Melissa Slaughter, and Tyler Hill. It was executive produced by
me oswa Oshan, Julia Nutter, and Kate Osborne for Kaleidoscope
and Katrina Norvell for iHeart Podcasts. Kyle Murdoch mixed this
episode and wrote our theme song. Join us on Friday
for the week in tech oz and I will run
through the headlines you may have missed. Please rate, review,
(29:44):
and reach out to us at tech Stuff Podcast at
gmail dot com.
TechStuff News
Hosts And Creators
Oz Woloshyn
Karah Preiss
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