I'm asking our employees what they think of AI as a company both in the tech and this
crave space. I'm sure there are takes that people want to share. Uncut versions will be
available below, so let's get into it. I am here with Jonathan Horst. Emily Young. James Shrype.
Do I get to hold this at any point? Do I have to keep leaning in? Yeah, I'm realizing. Jake Bell.
Dan, hey, Andy. Nicole. Ploof. And what do you do for the company? Right. Good. What's your
thought in the current state of AI? I've only used chat GPT before. I think for like day-to-day,
like if I don't want to deal with like a customer representative, like, hey, I want to get refund
off this. I was like, hey, chat GPT, write me an email about getting a refund off this. Over height.
We're thinking of it as like, it's going to just do the thing we want it to do when it's probably
just going to be yet another tool in the toolbox. It's pretty interesting. There's a lot of cool
stuff going on, and I'm excited to see it kind of develop over the next, I guess, a year or a
few months even. We don't have it? No, it's not. What we refer to as AI right now, have you ever
played Mass Effect? So in the lore of Mass Effect, AIs are like, you don't do that. So instead, what
they have is what's called a VI, a virtual intelligence. That is a lot like what we consider
to be like chat GPT and all that kind of stuff right now. It's able to answer questions. It's
able to kind of like carry a conversation. It's able to do a lot of things, but it's not able to
think. So it's just learning patterns and spitting out what it thinks is the next thing in the pattern,
more or less. To me, it just seems like this big mass of horrifying knowledge and it just gets kind
of like randomly spit out whether it's accurate or not. So for me, it's like kind of spooky because
you never really know what you're going to get. I think a lot of fantasy stuff going on. It's
people getting very excited about what's going to be in the future. Well, it's actually the capability
states are still a bit limited. However, they're crazy about two years ago, three years ago, like
the transformational, especially the AI art space, like that's already pretty damn good and pretty
damn disruptive and scary. I think overall it's really cool and it's a great idea. We could speed
up things like machine learning. We can use it to diagnose people who have weird symptoms and stuff
because let's face it, people are limited at some point. It becomes bad when we basically use prior
work to then create new stuff and the people that made that work previously don't get any credit for
it. It's not maybe as terrifying as people think it is. Yeah, certainly, certainly for it. So since
you're for it, what's one thing you're really against in terms of the AI? Probably creating
images of real people. As we've seen with QTC and Pokimane and some of these other streamers that
had explicit photos of them generated and shared on websites, stuff like that is awful. And now
people think it's a lot of fun to create the AI songs of like Linus and stuff like that online,
but he didn't consent to that. And no matter what, that's kind of wrong and weird to think that just
because he's on the internet, he's okay with it. That's not true. And it's something that obviously
there's no way to limit. But it's something I'm definitely concerned about. I think probably
some of the protectionism, I mean, you're spending millions of dollars on like cloud infrastructure
GPU time just to actually create a reasonable model. People I think are willing to protect that
rather than just open sourcing it. Adobe's like generative fill is kind of like interesting.
They're demonstrating it in like, look at, we could make this image so much wider and we can
fill it just from this tiny little portrait, we could turn it into a whole landscape. And it's
like, yeah, I guess that's cool. But it's also like, what is the picture then anymore? AI is
difficult. There are things that AI is really good for. Say, for example, AI image scaling or
whatever, you train it to do whatever it needs to do, and it does it basically by failing as many
times as is necessary to fail the correct way. And that's actually really cool, because it
does things in a way that is very difficult to do in traditional software. When you get into
marketing AI as well, I mean, I keep saying AI, it's more like machine learning. So like, when
you get into marketing it as like AI, and you say, Oh, well, chat, GPT is going to take over the world.
Well, that's, that's overselling it. And that's, I think it's by design that they're doing that,
because they want people to invest, they want people to think that we're close enough.
I think it's a really interesting tool. And I think it, depending on how it's used, it kind of
broadens a lot of channels and possibilities of being able to sort through a lot of information
really quickly. Like for example, you can ask AI something and it'll like throw out a ton of
results. But then it's also like good to keep in mind, this is always just from a certain pool
of information. So depending on how accurate that pool of information is, you can't always 100%
trust it. I hate writing, by the way, but like, but when you figure out how to write something
really cohesively and like, it's like, that's really impressive. And I just don't know how
prompt is going to lead to that. As a writer, you hate writing. I do.
There's a lot of worry that like AI would take over creative jobs. And as we are in a creative
field, what do you think about that? I personally don't think so. Cause like AI can be very objective,
but like they probably can really be subjective. If I trust the AI to grab focus for me sometime,
if we have a face in there, they'll grab like focus like pretty well. But there is one person
of the chance that, you know, the focus gets shifted to something else. Cause the camera thing,
that's the face. Human being in general is still better in that case, like determine
which part is the important part. So that's exactly the reason why we don't use like
auto focus on the top down and be cam for ShortCircuit. If no new writing is made,
like if you say, for example, writing is completely no longer a thing that basically,
as you iterate on things that are already iterated on, you kind of like lose bits and pieces of it,
it'll be difficult to continue indefinitely. You might get away with a little bit for a
little while. People are already getting away with writing paragraphs or whatever,
but it still requires like an editing pass. It still requires people who know what they're
doing because I don't know if you or like people who are watching know, but AI, especially like
chat GBT has a very short memory. So if you're trying to tell a story, like in a movie or something,
keeping that thing on the rails is going to be a really tough, a really tough operation.
Creative industries definitely are at risk. I think it's going to be similar to other industries
like perhaps the Apex where there's humans still doing the job, but there's fewer of them
because the human is doing it can do so much faster now. But I think we're going to see things
change and adapt. I think we're going to see a lot more like identity driven personality driven
content like influencers like Linus who you love and have a parasocial relationship with.
That's going to just become even more of a thing because in a couple of years, the majority of
the content on the internet is going to be from AI and you're not even going to know that it's
from AI and we're going to have to figure out identity online and whether that's a blockchain
thing or some kind of centralized, I don't know, identity system, we're going to have to figure
out a way to know like, oh, actual humans said that, not just a very convincing bot with a political
agenda. Oh yeah, will my job be at risk? If I was in high school right now, I would be doing trades
for sure. The robots are 15 years behind the AIs right now, I think. So something practical that
you can help with would definitely be a little more secure than a purely creative job. Yeah,
I was telling Nicole, AI can maybe edit videos, but it can't do a fart reverb like I can.
No way. It can't put vine boom in at the perfect moment.
Have you used any AI currently, like where it's like the chat GBT, the image random
rangers, music, I already think that, have you used any of it? The only thing I've really done
with AI was when Mid Journey and those other guys were coming out, I was messing around on it.
I was like, yeah, this is cool. Haha, like Trump eating a lemon or whatever. I don't know,
that's like the, oh my god, why is that my example? Have you used things like AI Dungeon,
the like choosing an adventure Dungeon and Dragons type game online where it creates a story
for you to play through? And that's a lot of fun. But otherwise, I haven't done really any image
generation. The only thing is I created an image of Kanye West at a ring door bell cam,
and that was pretty funny. Yeah, I've played with pretty much all of them. And I actually run a
couple at home. So I run an LLM as well as stable diffusion for image generation. And I run those
locally. I recently just bought a couple more 30 90s and, you know, upgraded some of them with VRAM
so that I could try some of the larger models. So they're like a chat GPT for but you can only
talk to them for like, I don't know, two to five minutes before the like token inference length
gets too much. And it takes like a minute to respond to you. But initially, they're they're
really quite powerful as a tech slash creator company that we are. Do you think that we should
be using AI and like any capacity or depends on the AI and depends on what we're using it for.
If we're talking chat GPT, I don't know that it's not like copyright infringing. So that's one thing.
The fact that we don't know what the test, like the the actual data sets that they train them on
is a bit of a big giant question mark in terms of like the ethics and the, I guess, legality
ultimately of using AI for generative purposes. On the other hand, like say, for example, I'm like
95% of the way through a script. And you're like, you don't know how to close it out.
You could sit there and you could, you know, scratch your head for an hour or two, or you could
ping some concepts off of chat GPT or something and see what it looks like. I believe we do
currently. I think the business team uses it for talking points and things like that. And then
they just kind of clean it up. I think basically every organization should be using whatever new
tools come to light. I mean, transcribing meetings, summarizing a meeting that you missed,
if they can allow your team to be smaller and increase your output. Yeah, you should be using
that really specific use cases where it's going to be really amazing. But in terms of like broad
strokes, no, it's going to like help just like that tiny little step, like making one thing that
you're trying to making one vision, you have a bit easier to execute or like making it better.
That sounds great. We should use it as a starting point, but we shouldn't use it for like the final
product as a tool. We should be using it as a tool. Like you'd use a computer as a tool or a
camera as a tool. If I'm not like sitting out of other people's work, I'm okay with that. It's like,
I need lines to be in a car. Where can I get the car? You know, like that car, it costs money,
that costs time, that costs people's effort. Yeah. So in general, just like as long as the AI
we're not like sitting out of other people's stuff and be able to help us like increase our
production quality, increase our speed, I think that's a good thing to use. Not really.
Maybe machine learning for the lab, but like real AI and using it to make, I don't know,
I don't think so. I just, I hate the idea of eliminating jobs, especially when it's not ready.
I think in a couple of years that story might change and I might be like, yeah, sure. I don't
want to make the timestamps for every video. So run it through the AI generator to generate those
timestamps for us, like fine. But right now, nah. I'm sweating like crazy. So we're going to wrap
it up here. Do you want to say anything to the float planers? I'm trying to coin this phrase now
or like something you didn't, we didn't talk about that you want to expand on. Tell Sammy,
you don't like being called float planers. No, I'm so glad to get this off my chest.
Everything, like all, all tools are inherently not good or evil. It is what you use it for,
that is, this is the most important. So like AI, every job scaling is amazing. For example,
it's just one of those things that's just so universally useful. Try it at home. It's fun at
home. It's a fun little exercise. It's really, really simple to get going and it's, it's a fun
little playground and you don't have to like spend money on chat GPT. I mean chat GPT is still the
best. But if you play with it at home, you're yours. You can play with it as much as you want.
It's still, it's still flawed. It's still very flawed. It's all, no, like how to commit the
perfect crime. It's got answers for that somewhere. You just got to convince it. I would love really.
I want to Jarvis, you know, and Jarvis that goes like, Oh, I got you fam. I got this ready for
you before like an actual personality and actual artificial intelligence that's effectively a human.
That'll be scary. And it means like deleting an AI is like deleting a sentient life.
And that's why I does not truly exist now is because like a sentient life is not something
that's easy to do. For a lot of like the medical environment, I am pretty like pro AI because
like some people are doing research on like data and stuff. Like for data driven stuff,
like I think AI is definitely winning and also quite like useful. Maybe like if the AI research
enough like paper, we can cure cancer, you know, you never know. So in that perspective, I think
it's great. Generally excited. Generally excited. Um, I don't, yeah, this is cut this out. No,
this is an uncut version. All right, we'll cut it there. Thank you very much. Bye flow planers.
James leaving, but I'm gonna keep waving. I'm committed a bit. Bye.