0:00
There's a chance, a a high chance that I'm pretty convinced will happen sooner than most people realize is that you might be able to stream pretty much every pixel to your screen in real time.
Search this video
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Any sort of like world that you want, interactive or not, into any screen that you want.
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And that might be a different thing altogether that might not necessarily like feel similar to a to a film.
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And I think that's the that's the thing I would say people are undervaluing, underestimating the most.
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>> [music] >> Welcome to Access, the tech industries inside conversation and part of the Vox Media podcast network.
0:35
This sounds so official when I say it this way.
0:37
I should we should work on a more casual intro. I don't know.
0:41
Maybe it's my uh my the day I'm having. But anyway, I'm Alex.
0:46
Alex Heath here and joined as always by Ellis Hamburger. My lovely co-host Ellis. What's going on, buddy?
0:53
>> Man, I I disappointed some people uh this past weekend.
0:55
I didn't dress up as the hamburglar. >> Oh, come on.
0:58
You don't do that every year? >> No.
1:00
You know, part of me wants to just give the people what they want, but I also just really like putting on this gigantic red medieval wig.
1:08
And so, I got to do something for me once in a while, you know.
1:13
>> What was your costume?
1:15
>> Uh, well, I dub him Lord Dingleberry.
1:19
[laughter] It is a It is a like shoulderlength curly red wig with like a chest plate with a roaring lion on it.
1:25
Like a Lannister logo or something like that. >> Wow.
1:30
>> Uh stole all my daughter's banana Laffy Taffy for myself.
1:33
So I had a little bit of a haul. >> Wow.
1:38
>> Cuz I think that's just a little bit too much for the for the kids teeth these days, you know.
1:42
>> Are you Are you Lord Dingleberry every Halloween? >> When I feel like it.
1:45
Oh, >> I was a Jedi Master last year cuz my daughter was Baby Yoda.
1:49
So, that was that was absolutely too cute to pass up. >> That's really cute. Uh, yeah.
1:54
Fun fact about me, I have never once dressed up for Halloween.
1:58
>> Well, that's not very fun, is it, Alex? >> It's not.
2:00
Um, >> especially with your stature, there's just so much you could do.
2:04
You could be like a golem.
2:07
[laughter] >> Yeah, though, there's been a lot of opportunities.
2:10
I'll I'll probably do it at some point.
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Um, >> you could be Luca Donuch next year [laughter] or something with your dad bod and seven foot stature. >> Yeah. Um, yeah.
2:20
Our neighborhood during Halloween just gets absolutely ransacked by kids, man.
2:25
Like where we had to do the emergency door dash order to get more candy because we ran out at like 6:30.
2:33
>> You door dashed some candy. You double dashed. >> Yeah.
2:35
And then the door dasher came and uh was like, "This is the very last bag at C CVS.
2:39
I've been doing this all night and every store within like a 5 mile radius is completely empty. So >> I hope you tipped. >> Oh yeah, of course. Always tip your drivers. Yeah. No, man. I am I'm having a day. I will tell you.
2:52
I'm surprisingly, you know, now we're recording. It's in the afternoon.
2:55
Um but I'm in New York this week uh for several things, but primarily the sources launch party last night, which was a rager.
3:04
It was a great success, but um it's been it's been the struggle bus today.
3:12
>> I read on TMZ that Shaggy made an appearance.
3:14
Is that true or is that just >> Shaggy was there.
3:17
I don't know why Shaggy was there, which I think is the mark of a good party. >> But um he was there.
3:23
He went I think briefly he left to go have dinner with Sting and then he came back. Um >> as one does. >> As one does.
3:31
We had a I don't know tennis. We had a tennis player.
3:33
or I guess I probably shouldn't say, but we had a a pretty famous tennis player there, and I also don't really understand why he was there, but for the most part, it was all people I knew. Um, and it was great.
3:45
It co-hosted uh in Kasakcomos uh by the amazing Joe Marques, a good friend from Human Ventures.
3:53
Uh, have you had Komos tequila, Ellis?
3:56
Uh, they're not paying me, but uh they probably should because I do love that tequila. >> No, I have not.
4:02
You know what I should have done?
4:03
Uh, I should have just like teleresence roboted in.
4:05
I mean, do they do they even make those iPad robots anymore or is that is that already a thing of the past?
4:12
I feel like I haven't seen one in a minute.
4:14
>> Yeah, you don't see them as much, but no, they definitely do.
4:16
And I feel like with AI, I mean, I feel like you'll start seeing them everywhere.
4:19
But, um, yeah, I didn't want to celebrate access without you, so it was just a sources thing.
4:26
Um, but people were very supportive of the pod and, uh, got a lot of good feedback, so that's good.
4:30
Or next time there could be like a little spooky room >> and when you walk through it there's one of those Google beam chambers and Lord Dingleberry is on the other side. >> That would be cool. Beam is awesome.
4:42
>> The only person I know who's tried Beam.
4:44
I mean, how how soon are we going to be able to buy one of those or have a have a mobile one of those?
4:49
>> Yeah, I think mobile's going to be a while. Uh Beam is amazing.
4:50
um one of legitimately the best demos I've ever done of any piece of technology, but it's mostly like replacing giant conference setups.
5:00
So, I think you'll probably experience it more like in an office than at home for the foreseeable future.
5:06
It's expensive, but it's awesome.
5:08
>> Also, you did another impressive demo without me, didn't you, last week? >> I do a lot of demos. What What do you mean?
5:14
>> With the ring, the ring thing. >> Yes.
5:16
Um Sandbar, uh Mina, the founder, I've known for a while.
5:20
We actually met when he was starting to raise for the idea several years ago. Uh it's very cool.
5:28
I guess after this episode airs, yeah, we can talk about it.
5:30
Um it's a ring that you can just talk to.
5:32
Um and it's basically like your your chat should be journal.
5:38
I mean, they have their own watching on video.
5:39
Alex does not look cool right now as he's showing what it looks like to talk to.
5:44
what it looks like to talk to. It's not that what what I like about it is that it's a very clear like social signal of what's happening where a lot of these wearables are super you know you don't really know what's going on you know like the friend is like what is that the
5:57
glasses you don't know someone's recording or what they're doing it's very obvious when someone's using the ring the way they are and it it picks you up in a loud place and it kind of creates this uh not relationship but um modality of like using it that feels cool. It feels like very uh specific and
6:15
It feels like very uh specific and uh it's got a companion app, but the idea that he has is to be kind of the Switzerland of this and like let you bring your data into chatbt for the rest of your memory and all that.
6:25
Um the creepiest thing about it is that it can also talk back to you in your voice.
6:29
So you give it a few voice cues because he really wants it to be an extension of you as how he thinks about it and like your your inner dialogue.
6:40
Um, you can tell he's mean he's an introvert.
6:43
Um, he said he came up with this because he would do long walks and wanted a way to like reflect on his walks.
6:47
Um, and in the app you can uh, you know, if you have your AirPods in, it can you can ask it things and it will respond in your voice.
6:57
It's it's like it's pretty freaky.
6:58
I mean, I feel like that just makes me believe even more strongly that Sam and Johnny are making some type of AirPods competitor because yeah, why have two devices when you could have one?
7:11
I like the ring form factor, but >> yeah, >> you know, >> uh the the simplicity of the ring is nice cuz it's it's very clear what's happening. Um there's no hiding it.
7:18
Uh and I do like startups that are thinking about the actual kind of cultural societal implications of the hardware that they're building.
7:27
uh which Muna definitely does.
7:29
So yeah, no, shout out to that.
7:31
That project's really interesting.
7:32
Um and uh yeah, otherwise I've I've been getting a little bit of the New York tech scene this week.
7:38
Um tonight, uh we're recording this on election day here in New York.
7:44
Uh tonight I'm going to head uh to the Koshi uh headquarters uh to check out.
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They're going to do like a little election wagering thing.
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have some like trade trade stations pulled up.
7:56
Uh and uh that's a super interesting company.
8:01
Um Track, the founder, I think is is pretty smart.
8:04
Um >> I am sending a vibe vote over to Zoron uh purely because >> I read that he likes Mission Impossible Ghost Protocol, >> which I think is an incredible underrated movie, and he also likes The Strokes.
8:21
So that's all it takes to win me over.
8:23
>> Wow, you're pretty easy. I didn't realize that.
8:25
>> And also affordable housing.
8:27
>> No, his ads are everywhere.
8:27
I mean, I it was in Brooklyn over the weekend.
8:30
Uh, which by the way, being in New York for the marathon weekend is like the it's the best weekend in New York. Um, and Santa Con. No.
8:41
>> Uh, but yeah, people were just canvasing like crazy for him. Uh, I should check Keli.
8:44
I bet he's I bet he's like way up on projected.
8:48
>> He was like over 80%, wasn't he? >> Yeah. Yeah. Um, yeah.
8:50
you've been thinking about this whole kind of prediction markets gambling thing, right?
8:58
Didn't you have something you wanted to talk about here? >> Yeah.
9:01
I mean, I feel like I was listening to Derek Thompson's podcast called Plain English, which is funny.
9:05
I find it not to be necessarily the most plain English when it is so statistics driven, but I love that, too.
9:12
But anyway, he was talking to a guy about just kind of the ascendance of instant sports gambling here in the United States.
9:23
And it just kind of hit me that like every conversation we have is kind of the same conversation whether it is about short form video slop or algorithmic optimization or uh inshitification.
9:40
I feel like there's this really big debate that tech in some ways started with its avancuard approach to uh behavior maximization and money extraction that we are just being prayed upon by all these services using all of the growth hacks and tricks and tools of like the last 15 years of of technology to really uh [laughter] certainly give us more of what we click and what we want.
10:08
And I don't know, it's it's just pretty pretty scary to me.
10:09
But yeah, I texted my my good friend Nathan who was the sociologist at at Snapchat for a long time with me and has informed a lot of my views.
10:19
And he was saying that people treat the outcomes of algorithmic systems as like the weather or the will of God or something rather than a conscious human choice.
10:30
And I think this is something that needs to be talked about more is that it's not just the the free will of these platforms and algorithms to give people more of what they want. It's an actual choice.
10:41
And uh it also collided with this piece by Max Reed uh # readmax where he was citing this piece about how section 230 and I'm curious if you have any thoughts on this.
10:54
so often talked about is this like blanket protection for for tech platforms for anything that's on their platform shouldn't really correspond to when they actively promote things.
11:03
It's one thing to uh be Substack and host a blog that some people may disagree with.
11:11
It's another to actively promote it in the feed.
11:13
And I thought that was just like such a simple fresh distinction that I feel like needs to be talked more about.
11:20
So, yeah, that's the jumble of things going on in my mind right now.
11:25
Did that make any sense, or are we just going to cut it all? >> No, no, no, no.
11:28
I I I think I get what you're picking up or laying down, whatever the phrase is. God, I'm so tired.
11:33
Um, >> you're picking up what I'm laying down. >> Yeah. Yeah.
11:35
But but are you saying that section 230 should apply to like prediction markets or are you are are you are you basically saying that you think prediction markets areification?
11:46
I'm saying that extraction is at an all-time high and it may cause the next recession.
11:52
[laughter] >> Well, >> whether it is help making people a bit more lonely and less happy as a result, which means that they're on their couch more, which means that they're betting on more sports >> because they got a $500 free credit.
12:04
and then they open Instagram and they have gotten hit by the same ad 17 times, which is the exact number of times it takes to gets you to instab buy something on Instagram. >> Not me.
12:15
I'm a one onehotter if if >> you're a oneshotterter.
12:19
>> Uh, no, I totally buy that.
12:19
I also I mean on the prediction markets piece, I I think I think Tre's going to call on the show.
12:26
I want to talk to him about this.
12:27
But I I I do I do think it's smart to let people see the wisdom of the crowds, so to speak, if that is actually what it is.
12:37
I think that's a good idea.
12:40
Uh it feels very like democratic.
12:40
Uh but the gambling piece of it is obviously, you know, something to be concerned about. Um I'm okay with it.
12:47
But I do Yeah, I do hear you though.
12:50
Like we are getting extracted from a lot right now as a society. Yeah. >> Yeah.
12:58
>> I know you're uh you're you're a gambling man who uh appears to have control over their impulses, but >> yeah, it depends how much tequila I had.
13:07
I don't know if last night was a good example of that. Um shout out Joe again. Uh and Komos.
13:11
Um well, we've been talking this whole time and we haven't introed our guest this week. Uh who's a great one.
13:18
Uh Crystal Ball Valenzuela, the CEO of Runway.
13:21
uh very popular fast growing AI production tool that is uh freaking out and changing Hollywood on an hourly basis.
13:31
Uh it comes up quite a bit in my discussions just with with Hollywood folks.
13:35
Uh I've known Chris for a while.
13:38
I think he's always really sharp on a lot of these issues and is not, you know, afraid to to speak his mind, which he certainly did in our convo. I don't know.
13:46
What did you make of Chris?
13:47
That was your first time meeting him, right?
13:50
It was game recognized game.
13:50
He's a great writer >> and has been articulating a lot of very complex ideas in simple effective ways for a long time.
14:01
I think many founders as you'll hear >> uh look to him kind of as a luminary for self-expression.
14:07
I would say within tech whether it is you know being one of the first to kind of establish themselves as a research lab which is always a good vibe for recruiting and and your societal benefit uh goals if you if you want to imply those and um he's a big thinker >> and he also comes from an arts background which I like so he has >> an interesting take on you know the whole tools versus cost cutting debate when it comes to our new AI services. >> Yeah.
14:40
And is very big into world models which uh we get into but is a topic I think you and I will be talking about a lot more in the coming months and people broadly will start hearing about a lot more as everyone from Google to new startups to middle stage growth startups like Runway are really diving into this space.
14:57
And uh I liked Chris's perspective on like this may just be an entirely new medium that's happening where you're going to be able to generate pixels on the fly in 3D with a sense of space and depth and awareness of physics and all that stuff and uh what that does for entertainment. Is it a new thing?
15:15
Is it the next phase of video games, movies, both? Probably all the above.
15:20
Uh pretty wild times we live in, man.
15:22
We'll just have to wait and see.
15:25
[laughter] With that, if you're Alex, go grab a Gatorade.
15:29
If you're a listener, stay tuned for Chris Venuela.
15:34
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16:46
[music] >> Chris, great to have you on the show.
16:56
You and I last spoke for God, what was it called? The the Worlds. Is that what it is? Runway Worlds. Okay. >> Right. Game Worlds.
17:03
game worlds which I want to get into.
17:05
But first, can you share with the listeners a little bit about you and your background and how you came to be doing uh doing what you're doing now?
17:15
>> Well, it all started I I would say like almost 10 years ago.
17:18
Uh I fell into a rabbit hole of uh deep learning at the time.
17:23
I came across some interesting research papers that I think were kind of um the the beginning of everything we've seen today.
17:29
And um I've kind of became obsessed with this idea that you can take these these algorithms and these approaches to AI and use them to create not only language but also uh pixels and and videos and images and so spent I've been spending the last I would say eight years just uh on that deep on that rabbit hole.
17:49
Uh came to NYU to study this uh met co-founders and we started the company like seven years ago.
17:56
Um, so it's been perhaps uh the same journey and obsession we've had back then, but now at a with a bit more scale and and and attention. >> Yeah.
18:06
Give me a sense of Runway's scale right now.
18:08
You're a private company, but you know, walk us through everything. Share everything please.
18:12
Valuation, money raised, revenue, customers. >> Yeah.
18:16
[laughter] >> Uh, >> okay. Let's do it.
18:18
Uh, so I guess scale of scale of the business.
18:21
I think we have like millions of users.
18:22
We're working with uh everything from like the largest and biggest and best studios in the world to a lot of agencies and brands.
18:31
Uh we have a lot of um game studios using runway.
18:34
We have architects using runway, designers, filmmakers, and a lot of just consumers and creators.
18:39
It's a it's a it's a platform. It's a it's a tool. It's a model.
18:42
It allows you to do everything from like simple, you know, uh images and videos to way more complex cinematic like 4K uh footage.
18:53
And so um the business is um like growing fast.
18:56
It's it's been growing fast for the last couple of I would say two years.
18:59
Um we're around 120 people.
19:04
Most of that the the team is research engineering.
19:06
So we have an office in both uh New York and a staff and uh and a small office also research lab in in in London.
19:14
Um, and so yeah, I think I mean the models are getting to a point where like they're pretty much usable in a bunch of different domains and we're like I would say venturing into into many of those. >> Yeah.
19:26
And and valuation you're you're well past unicorn.
19:28
Are you technically decacorn? Where are we at there?
19:33
>> The last public valuation was around like three uh billion.
19:34
Uh that was like a year ago.
19:36
Um we've we've raised uh since we started the company on average every like 12 months or so.
19:41
So hopefully we'll get some news very soon.
19:45
>> And how much have you raised so far?
19:46
>> Alex, take it easy, brother.
19:46
[laughter] We've been here for less than 4 minutes.
19:51
>> The reason I'm asking is I want to also compare this to the state of Hollywood and when we talk about Hollywood and I just think it's really interesting how you all as a company are growing uh and people probably don't actually understand how big you are and that that's that's why I'm I'm asking. >> Yeah. No, totally.
20:07
Happy to answer as much as I as I can.
20:08
uh we've raised like half a billion uh now by now cuz we're like last last round.
20:14
Um again we started on like 2018 so the company is called runway ML technically so we used to call it ML back then >> and uh the rounds and the sizes and the valuations were very different if you were building ML products back then.
20:28
Um, and I think we've been uh consistently just I would say obsessed with making sure that we build actual things that can can translate into customer and usage and value and and yeah, I mean in in Hollywood I think we have really good adoption and so it's kind of the first I would say stepping stone for us is making sure that media and creators can actually use this in consistent ways.
20:51
>> Okay, I'm turning the grill the grill temperature down.
20:53
[laughter] Ellis, thank you. Go for it. >> Yeah.
20:57
So, speaking of the uh the ML to AI transition, I mean, I feel like we're all looking for labels for what we're making, and I know you've written before that this kind of represents a new medium or even a new kind of camera.
21:09
Is it video that we're even still doing?
21:14
How would you describe it uh with what you're building and where it's going? >> Um, yeah. Yeah.
21:18
So, I guess for for context maybe for listeners who are not kind of like fully aware of that that idea, I've always thought of we always have thought about AI and and specifically the work we're doing a runway as a literally building a new medium.
21:31
And so when I when I mean building a new medium, I've I think it's important to refer to things we we've seen in the past that have had that similar impact.
21:38
And the most recent one is perhaps like as you were saying the camera.
21:42
It's a the camera created entire industries.
21:45
has created an entire new art form which is film making and cinema and the birth of photography and created whole arrays of so social and cultural changes.
21:53
Um I do think AI is moving towards a space where we're understanding what you can do with these models um in ways that are not equally or similar necessarily to film.
22:03
Like you can borrow like the language and the grammar of film in the same way that cameras borrow the language and the grammar of like painting, but they're ultimately different things.
22:12
I think AI the ability for AI to basically simulate because these are ultimately these video models are simulation systems.
22:20
They can simulate anything technically in the world and how things should behave in the world.
22:26
You can have agents deployed and simulate how agents interact with things in the world.
22:29
That on its own, if you just think about it as a creative tool, it's a new medium.
22:34
It's it doesn't necessarily operate with the same like principles and affordances of like film and and and and cinema.
22:40
and and and and cinema. it has a set of different like ways of working and you can see this with like people who are already very deep into AI the things they've created the way they use it how they feel is just different altogether um and and I think like one of the things I think investors and I would say the public is like always trying to find
23:02
is like what's the label for this like how do you call it my belief is like we're not we're not sure how to call it yet because we're living through the thing right now so it's hard to find a name for it like photography didn't have a name until like 20 years of experimentation happened and like we come up with this idea of photography. Um I think eventually we will
23:18
Um I think eventually we will collectively figure out a name.
23:19
We're calling it like world models.
23:21
These are like systems that can that's like the from a research perspective but I would say from a medium perspective we'll collectively have to figure out how to label this.
23:30
>> Chris, I believe it's called slop. Come on now.
23:32
[laughter] >> Uh slop I think. Well, I think it's not.
23:36
Look, I think like film and photography were slop like 150 years ago.
23:39
were slop like 150 years ago. uh people made fun of him because it wasn't I think the mistake was to make painters judge uh photography and painters were like look like this like dger type that you just show them it's like really bad like I can paint this masterpiece which is which is fair but those are not equal
23:57
like comparisons of search and I think we're now doing kind of the same where like someone is like look I'm a filmmaker I've done all this thing and you're making this and I think it's you're right but also you're missing the point which is like these are not equal things so um kind of like takes love as as a actually as a great compliment. It
24:11
It means that we're heading to something totally different.
24:15
>> The labeling conversation is so interesting to me and I am honestly a little triggered by the camera reframe because that's what we tried to do at Snapchat for many years.
24:24
And I think at the end of the day, even when I talk to clients today, I'm like, well, the simplest answer is just to use the language of what your customer wants.
24:36
And how are you talking about it with your customers these days, especially the studios?
24:39
Do they think of this as a measure to kind of cut costs and make things more efficient?
24:44
Or are they thinking about the possibilities that maybe only AI could afford, maybe in terms of like surprising results that maybe the artist wouldn't have even expected?
24:56
How do you talk about it with them?
24:58
What do they say that they want?
25:00
>> I think sometimes they don't really know what they want to be honest.
25:01
And I think part of it is there's there's a gap in AI literacy that needs to be closed.
25:05
AI literacy that needs to be closed. Um I I would argue that one of the biggest bottlenecks in AI these days is how people fully understand how how these things work and and you can see this like in like enterprise adoption and like people using AI um like the models can do very sufficient really good economic work the bottleneck is not the models it's like the people within specific companies or within teams that
25:30
know how to do it and how to use them and how to leverage them and understanding that the way you've done things in the past might not necessarily adjust Um, and so a lot of what we do is we for companies that we work like really closely with, we have teams of people
25:44
that go and work with you and they see it and like explain to you kind of the different things that you these models do and how they work and how they operate that are not based on how you've done things in the past. And that's kind
25:54
And that's kind of the beauty of it.
25:55
It's it's it's kind of a it the mental models the human mental models are the ones that we need to update these days and not the models themselves.
26:03
like we get so many people who ask us about things they want to see in runway.
26:06
Um and runway can already do those things for like the last like six, you know.
26:11
Um and so I think like that that deployment of people within enterprises and companies is going to help just uh clients and folks figure out much better how to get the most value out of it.
26:25
>> Isn't that called a forward deployed engineer?
26:27
Isn't that the new like buzz word in labs?
26:29
Yeah, >> Alex has been spending too much time in San Francisco.
26:36
>> Yeah, [laughter] I can tell. >> Way too much time. >> Um, it's funny.
26:38
We we started so we hired our first we called them for deployed artists like three years ago.
26:44
Um, and it became like a we didn't have a name for it.
26:46
So, we called them we called we called them workflow architects and it was basically like come up and like help us like build this inside specific partners and I think yeah now it's becoming some sort of like a a job and a role of its own which is which is I think needed.
26:59
I think we again we sometimes forget that even for like the internet people had to be taught how to use it, you know, so like national campaigns around how to send an email and and I think it's yeah it's new.
27:11
You have to like figure out how to like how it all works and I think we're transitioning through some of that same thing kind of right now.
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29:27
[music] >> Something you all did really recently that I thought was smart on that note was the apps concept.
29:35
Is that what it's called? Runway apps. Correct.
29:38
>> So basically because it is it is a when you look at Runway it's I mean it's it's a complex tool like I would not know how to use it.
29:44
I don't edit video but I would imagine even if you've come up with Premiere or Final Cut or whatever you look at Runway it's probably pretty foreign a lot of the concepts.
29:52
Talk about that apps launch and why you did that.
29:56
Is it for the reason you're saying which is just people have a hard time understanding what they can even do with this?
30:02
>> Yeah so u you're absolutely right.
30:02
apps is um so you can think about like raw models as like an intermittent layer like you're you're obstructing and you're you're building some sort of interface to tap into this system that can join anything and the most convenient ways you use prompts or images or different things.
30:18
But then for a lot of newcomers, for brands, for designers, for agencies, there's specific things they have in mind they want to make.
30:25
And sometimes learning the structure of the prompts and how to best get the outputs is complex.
30:28
get the outputs is complex. And so we build an abstraction system on top which is mostly focused on what do you want right what is it that you want as a customer as a user if I'm a brand designer if I'm working on I don't know a concept video or I'm making some visual effects shots I know exactly the
30:45
thing I want and so you have an app for that and you click on the app and the model the app basically run tells you like what you need to input like references or images and kind of like it all cooks behind the scenes and it shows you like the output and it's one of our best and like most fastest growing products that we've uh released recently. >> You you tweeted one where [snorts] where
31:03
>> You you tweeted one where [snorts] where the app changed the time of day like it change the lighting and that was wild to me.
31:11
You called it like a time machine.
31:14
>> It's Yeah, it's in it's um like those things are have been there but now figuring out how to best present them to people.
31:21
people. It's like a UI and obstruction challenge of like again like think about that like you're you're translating uh like a specific like shot a real scene of like day into night like outside of AI we're talking about if you want to do that we're talking about
31:39
weeks of work and thousands of dollars from like a professional studio to just get to somehow similar results now you can do it in like 10 literally 12 >> and usually day to night looks like absolute [ __ ] >> yeah it looks when when studio try to do it traditionally. >> Yeah, I mean probably um and because
31:53
>> Yeah, I mean probably um and because it's it's it's it's hard for people for for to do. It's a very hard task.
31:58
Um and for the model to do it, for Ramy to do it in like 12 seconds uh feels like incredibly powerful.
32:05
Um but but like I don't think enough people realize that there's this powerful systems and powerful machines that you can do this stuff.
32:13
And so again, I have to just go and show you.
32:14
I have to go and like explain to you how it works.
32:16
Um I think part of um what I would say hasn't uh pre has prevented some of that like more mainstream like adoption is the the curse of the prompt.
32:26
It's what I call it where prompts have taken over AI.
32:28
You know the if you think about AI as an industry it's like a whole economy of search.
32:34
There's all different sort of applications.
32:35
But I would say still the biggest narrative is I see around is people think of AI as just a prompt.
32:42
It's a prompt just you type in something and you get something out. It's way more than that.
32:45
You can do way more sophisticated stuff and so you need to like again hopefully explain and tell people how it all works.
32:51
>> I'm curious, were you excited about this app's idea before it happened?
32:54
Cuz I feel like a lot of founders especially when they're making a tool that could ostensibly used for anything.
32:59
they see putting those frames or use cases or templates in the UI as limiting in some way and they say, "Oh, well, if we only say we could do a handful of things, then how are people going to know that they can use it for anything?"
33:13
And it's a debate you often see.
33:16
>> Yeah, I think you're you're right.
33:16
Um, it depends on like exactly what you're focusing on.
33:20
So, we're not focusing on apps alone.
33:21
Like you have different levels of like, you know, complexity.
33:24
We have a thing called workflows.
33:27
So, workflows is like for much more advanced users.
33:30
Um I I tweeted like a recent uh kind of short film someone made just with this workflow interface is a nodebased graph kind of like system for creating really complex things.
33:39
And so the the really the models and runway as an idea is is that you can generalize the models to basically tackle any single hopefully problem you want to solve.
33:50
Some of them are easier some of them are a bit more complex but you can lean and probably solve for like all of them if you want.
33:56
So apps is like I would say one offering.
33:58
It's not they offering that we're like putting out there.
34:02
>> So, I didn't get to go to the most recent one, but last year I went to the festival you guys had in LA and it was a really interesting experience seeing all the films.
34:10
I then I went I think I went to one the year before or a couple years before.
34:14
How many years have you been doing those now?
34:15
Actually, >> so we've been hosting our film festival for three years now. >> Three years. Okay.
34:21
So, I went to the first one and the second one and I missed this last one.
34:24
>> You went to the first one?
34:24
That's like >> I went to the first one. Yeah. Oh, gee.
34:27
Um, well, you and I got coffee in LA, I think, around that time, and it was, you all were, you all were just a baby, not even a unicorn at that point.
34:34
Um, but it was really amazing to see the progress from even just, you know, year one to year two, right? It was pretty dramatic.
34:43
I assume it was even more dramatic this year.
34:44
But I got to be honest, like when I was there, I I was I was marveling at that, but I was also kind of I left feeling like a little empty, you know, like when you leave one battle after another, which I've now seen in theaters three times, like >> you're very alive, right? It's an amazing film. It's very human.
35:06
>> Uh and I missed that in the shorts.
35:06
Even though they were very creative, they looked awesome.
35:11
The stories were, you know, whatever.
35:13
Shorts are can be rough on that, but there were good stories.
35:17
>> But but but I man I just I left a little empty.
35:21
Do you hear that from people still when when they see a bunch of AI content like that?
35:26
>> I think at the end it's all about the story.
35:28
Like I don't think people watch things because of how they were made like one battle of the the other is just great storytelling.
35:34
It's one of the greatest filmmakers like we've ever seen alive like makes one of the biggest >> films he's done.
35:40
Um, the reason you watch it's just because it's a good story.
35:44
It's good acting script script.
35:46
Um, I think that doesn't really change the nature of like whatever you use to make it.
35:51
If you use AI, if you use cameras, if you use whatever like technique I think three years ago when we started the festival, we wanted to basically provide a venue and a space for people that were at the frontier of new technologies to expose themselves to like this form and like sharing what they've made.
36:07
I would say the transition from the last three years has been from the technical like obsession of how things can work and how you can experiment and get to new aesthetics and new like to storytelling like the winners of this year's festival.
36:22
um they won because of the story.
36:25
Like the point was at a point you you kind of forget your scene is generated.
36:29
That that's that that is like the last frontier is you forget you're seeing something that was made with AI.
36:37
The winner of uh this year festival is now producing like uh a big like film and he wasn't even a filmmaker.
36:44
He was a musician who had this idea around like a story he wanted to tell.
36:48
He worked on it for like a year. He won.
36:50
it was the like favorite of everyone who was in the festival and now he wrote approach and he's actually making like new stuff uh like with actual production budget behind it.
37:01
Um I think for to grab that attention and to make sure like it that that works you have to have a story behind and I think that that doesn't change regardless of like uh what you're using, you know.
37:14
>> Is it fair for Alex to compare uh AI video content to Paul Thomas Anderson?
37:22
Uh well I think that's like again if you think about it as any medium it's like you're comparing like the Lumiere brothers to like Rembrandt you know like they're they're different things like of course they're great painters but this is different of course like PTA is like
37:35
the greatest one of the greatest filmmakers alive but this is like a new thing that's just it's like a year and a half old so it's it's I I think it's it's not probably fully fair because they're different things but it I mean at the end of the day for viewers it might be just like the same. So, but I'm
37:48
So, but I'm convinced that uh models will get better, quality will get better.
37:52
The stuff that's coming out right now, it's moving away from the technical novelty and into like story ter uh real territory, which is the most interesting one for me.
38:03
>> I'm in the mood to make fun of Alex today, so I'm going to continue with this line of thought and an impression.
38:07
So, I just saw one battle after the other like three times and like everything online is so slopp.
38:13
>> I've got a mustache now.
38:13
I saw it at the Vista Theater. Okay.
38:15
I saw it in Vista Vision Flax.
38:18
>> I think Chris is right though.
38:18
I mean, there's a pretty big difference between using a new tool to like create an impressive explosion, >> if you will, or to execute your authoral intent with some potentially unexpected results that might delight you.
38:35
Like, I think people can can see that.
38:38
And I mean this is how I felt at like the open AI Sora event I went to a year or so ago brain deadad like everything felt very uh aurdriven in terms of like the experimental film making and the storytelling and >> it is definitely a different aesthetic I feel like that you feel with AI.
38:59
I think the only time I really worry is when the AI is just meant to purely dazzle and pacify us as we scroll where there isn't much authoral intent uh versus using it as a tool if you're an artist who just may not have the skills.
39:15
Like I think there is a distinction there.
39:17
Um I agree and I think like that's mostly like perhaps different product experiences like these models are general enough and like big enough that they can be used all sort of different ways.
39:28
It's like if you want to build an infinite slop machine, you can.
39:31
Like we're not building that.
39:33
Like it's a different choice.
39:35
Like some companies want to go there.
39:38
We think it's this is much more of a creative system of sorts and like we want to empower it.
39:43
Um but that probably doesn't mean that others can do it.
39:47
And I think you start to see this right now happening in the market where there's like slot machines on the one end like just grabbing attention and trying to like optimize engagement.
39:53
I think what we're doing is a bit more thoughtful because I think we believe of them with of these models and these tools as eventually like creative tools for for creative people for really anyone.
40:06
Um, and that informs our ethos and our vision and our like product experience altogether.
40:10
I'm curious if you think movies and TVs will go the way of music in the sense that I saw I think it was a Billboard headline recently that kind of blew me away where they said that at least one purely AI generated artist is now charting every week.
40:25
Maybe you shared that I don't remember but I saw it and I was like whoa that's crazy.
40:28
And then I also thought you know ahead of this convo is that going to happen to movies and TV?
40:35
like are we going to have fully generated stuff that is like performing at the box office or do you think it it's always going to be hybrid?
40:41
So I I think the way we make films today, if you just think about like media, traditional media might be there still in the next like 10 years, you know, in the same way that we have like theater plays in Broadway, like those things are still there after like movies and television was invented.
40:58
So you might still do things the way PTA does that does it.
41:02
And I think that's great.
41:02
I I think ultimately there's a chance a a high chance that I'm pretty convinced will happen sooner than most people realize is that you might be able to stream pretty much every pixel to your screen in real time.
41:15
Um and so you're going to eventually have this system that renders any sort of like world that you want interactive or not into any screen that you want.
41:27
Um, and that might be a different thing alto together that might not necessarily like feel similar to a to a film.
41:34
There might be hybrids where you can combine traditional film making with this new thing.
41:38
But the fact that you can render pixels on a real-time basis kind of changes the dynamic the economics of like streaming services of platforms of IP.
41:45
Um, and I think that's the that's the the thing I would say people are undervaluing underestimating the most.
41:52
Like the moment you can stream pixels on a real-time basis of anything you want, it's like different game alto together for for media, but for also a bunch of different industries as well.
42:02
How soon are we out from that? >> It's it's here.
42:04
I don't think we're like that far.
42:06
I mean, it's probably there on the tech side.
42:09
Like I'm sure you guys have that internally, but I'm just saying it's not productized like at scale.
42:14
I'm saying when is it a a productized at scale thing?
42:16
It's not I think the product part of it might come just from like optimization parts like it's very expensive still but we want to figure out like what's the sweet spot of like quality and like speed and if you want to maybe constrain some of the generations to specific applications >> like I've tested it just feels dramatically different from anything you experienced before.
42:37
It feels it breaks your brain a little bit.
42:38
You're not sure that what you're watching and the fact that you can interact with it kind of changes a little bit of a paradigm of how we've used AI before.
42:45
And even if we're like few months away, like probably might be the one of the biggest and of course I'm I'm biased like but of course I would say it's one of perhaps the biggest like next frontiers of AI is that you can simulate and generate pixels on a real-time basis in every screen out there.
43:01
>> I am obsessed with world models. I do agree with you.
43:03
I think it's a thing everyone's going to be talking about especially next year.
43:05
Um but before we go to that uh Ellis and I both live in LA.
43:11
Um, the mood is, I would say, I don't know how you would describe it, Ellis. It's like not great.
43:16
Uh, you know, it's kind of grim.
43:20
>> It's like a mix of not great and like highly buzzed on matcha, I would say, which is not a good combo.
43:27
>> There's a lot of like out of work writers at all time uh in Ellis's neighborhood like on a Tuesday afternoon, you know, like >> I bring the tissues and they're all gone by the time I leave.
43:37
>> But do you think that has something to do with the eye or is something else structurally? >> No, I don't.
43:41
I think it has a lot to do with the government and the tax incentives and a lot of practical stuff that people don't talk about.
43:46
But >> yes, >> there's already this mood >> and then there is, you know, I was just having lunch with like a talent agent last week and he's like, this is all anyone can talk about, right, is AI.
43:58
It's going to take all our jobs.
43:59
Everyone's already feels like their jobs are being taken.
44:01
I don't really see it as that two-dimensional.
44:04
I'm assuming you don't either, but yeah.
44:06
I mean, address this like topic of like is Hollywood [ __ ] or not?
44:13
Um well I think you you actually said something interesting which is like a lot of the causes for why Hollywood is like in this spot right now has to do with pe something people don't want to speak about which is like all the things people know are structurally like not really working but they're hard to address which is like tax incentives the strikes there's like projects being done overseas there's like all the things that are just like
44:38
outside of AI it's like the you know it's like similar to the water problem with with AI, you know, AI, I don't know if you guys have kind of tracked some of the narrative, it's like people were obsessed with like consumption of water
44:49
of AI and like if you plot that against like every other like water like consumption of of water in other industries like golf courses consume like 6% of the water in the US and data centers like less than 1%. But like
45:01
But like fighting golf courses feels less interesting that like being against AI, you know.
45:08
Um, and I think in in media I felt a little bit the same where like there's all these structural things about how the industry has evolved over the last 100 years.
45:16
There was transition from digital to analog to analog to digital sorry then like streaming then like then the cost of things just go too too high up then like taxing and there's all these things are structural to it and then maybe 2% is AI but like fighting the structural thing is just like too complex just figure out you know the easiest like more interesting one to AI.
45:37
Yeah, >> that doesn't go to say that like it doesn't have an impact.
45:40
I think it does have an impact and it will change it.
45:43
But I would say what's happening with I know I was in LA like last week.
45:44
What's happening there uh has way more to do with other factors than AI itself.
45:51
AI is becoming just like a scapegoat of sorts.
45:55
Um but but maybe going back to I guess the point you're trying to make.
45:58
Uh yeah, I I do think AI will radically change a lot of jobs and that's that's that's an obvious thing.
46:04
I mean you're already seeing it within media.
46:06
There's a lot of things that are very road and repetitive that you can totally automate.
46:11
And I think that focus shouldn't be on the like on the jobs themselves.
46:15
It should be on how do you upgrade or upskill the people doing those jobs.
46:21
Um rather than like oh we need to protect you know that particular thing because the thing might change and it's okay. It's part of a process.
46:30
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[music] Just visit figma. com/acess. That's fmma. com/access. It's tough, isn't it?
48:43
I feel like it's very easy to focus on job losses as kind of this de facto bad.
48:49
of this de facto bad. Uh, but you know, you look at Coca-Cola just released this new AI holiday ad made with AI and this is a company that maybe would have paid an agency to do that uh in the past that employed a lot of editors and people and
49:08
KO's making 10 billion in profits uh last year, you know, so they have the money to spend on the agency and the editors, but at the same time and I know you you went to NYU Tish and maybe you know you have some peers I'd be interested to hear what they say. Any of
49:21
Any of the editors or visual effects people that might have worked on that, like a lot of them probably wish they could be directors or creators of some kind, but because of the bureaucracy, because of the if you watch the the the show, the studio, the existing barriers to entry for becoming an actual creative with the resources to make a video happen now, you potentially can.
49:43
And I feel like people are talking less about that stuff.
49:47
I think uh really it's just as relevant.
49:49
the the winner of the film festival of this year is a perfect example. He's a musician.
49:52
He [snorts] got into like film now not by the traditional route just by making something that feels great and people like want to watch it and like he got approached by people because he made something he couldn't have done before.
50:06
That I think it's like the greatest proof of how transformative and how job new jobs are going to be created and are created by by I would say.
50:13
I mean, I certainly feel that way.
50:15
Like when I've been on internal marketing teams in the past, they're like, "Oh, you're just the copywriter."
50:21
Like, "Stick to the words, bucko."
50:23
And I'm like, "Yo, I was very nearly a film major at Michigan.
50:26
I know more about movies than you do. I can talk Eisenstein.
50:33
I don't use Premiere, but [laughter] in the future, I'm going to be able to make some pretty sick videos." Right.
50:39
>> Now's the time to Now's the time to do revenge. to prevent yourself.
50:41
No, you have all the tools. >> Exactly.
50:47
>> So, uh, Alex, you said you said world models are like the most interesting thing for you, like you believe in them long term.
50:52
>> Uh, I just think it's something everyone's going to start talking about.
50:55
I think everyone's building towards that, like you said.
50:57
Um, why is everyone obsessed with this idea of world models right now?
51:02
Is it because it's how you get closer to AGI?
51:04
Is it because it makes AI physical? All the above?
51:07
like why do you think everyone's starting to buzz about it and why are you excited about it?
51:13
>> We've been excited about it for the last like four or three years.
51:15
like four or three years. I would say we built this general framework that we call general world models um like and we made a video about the whole idea like three years ago and it's become I would say our like you know vision long term which is if if you think about video models video models again are simulating
51:33
the physical world and as they learn about the world they understand like how things in their world behave they're they're understanding like physics are understanding movements are understanding action and consequence and then you can technically have agents being deploying that simulation, interact with the world itself, move things around. Um,
51:49
Um, >> agents in the simulation. Now I've got the chills.
51:55
>> Yeah, I mean, look, everything's just simulation of sorts.
51:57
Um, >> I'm I'm the resident Matrix fan here.
52:03
You start to see that the models learn the about the world in ways that language models are not really learning about the world.
52:10
about the world. Um and I think language models have gotten somehow bottleneck but what they can scale and what they can do and a big way of unlocking them is to give them imagination is to give them like the visual capacity to simulate things like and I think world models is like a catchual term that describes this idea that you can yeah have AI systems that can
52:33
understand the world how the world works and you can deploy agents within the world you can have consequences and actions and you can see them but also the model can see And the I think the reason why people are getting interested and more excited about it is because eventually that approach has infinite applications within pretty much everything you can imagine. If you can simulate how things
52:56
If you can simulate how things behave in the world, then you can think about like applications in like self-driving cars.
53:03
self-driving cars. can simulate and improve like performances of like how you create algorithms for self-driving not by deploying cars but simulating them simulating how things should behave media and entertainment you can simulate storytelling you can simulate like scenes you can simulate specific things
53:20
you can simulate game plays you can even go deeper than that you can simulate like interfaces um which is something I think it's becoming more real and so um I think people are getting excited because it's becoming kind of like a big opportunity for more frontier research and at the same time a huge market opportunity as well. >> So you said the word simulate. I know
53:38
>> So you said the word simulate.
53:38
I know historically with LLM's people talked about probabilities and predicting the next word.
53:45
Is that is that different in your mind the simulation versus the prediction or is that kind of just the word for for video or world models that's being used?
53:56
>> I think simulation goes a little bit like uh maybe deeper in and so there's traditional simulation software.
54:00
So if you think about, I don't know, you're building a a plane and you want to simulate like aerodynamics, there's a software you might use that basically you can put a geometry on object and have like air flow and you can simulate how things will react.
54:12
If you're I don't know doing life science research and you want to see how different compounds will interact, you need to simulate them, right?
54:19
If you're building like um um I don't know some robotic experiments, you might need to simulate uh interactions within an an environment.
54:26
And these are all very hard things to do.
54:28
you've you've coded them by hand.
54:30
You've you've kind of are looking at the world the way you've done simulation traditionally.
54:34
So you have people looking at the world and trying to decode those things of of the world in formulas and and by in in with human biases of how things we think work.
54:44
But really um what you want to do in in like this new approach of AI and simulation and world systems and world modeling is you don't want to describe how things work.
54:53
You just want to show the models the world and have the models understand those things in the world.
54:59
And this is similar to how we learn.
55:01
Like I can show you, I can drop something from my hand and you can kind of tell me what might happen, what you think might happen.
55:07
You can kind of imagine it and simulate in your brain.
55:10
I'm probably sure you can describe the formula and the trajectory of that object, right?
55:13
And so we're taking that approach with world models, which is for models to understand how the works.
55:18
Um instead of trying to be very all this like precise and have all these inductive biases on how we think the world works, you should just show enough data and the models but become generalizable machines.
55:30
They can simulate those same things that we used to simulate before but not in those traditional methods to kind of like leaprog them all together.
55:37
Uh which is wild to think that they can do and kind of like they do and it works.
55:41
Um so yeah, >> I'm just like so curious.
55:44
Have the models incidentally discovered any novel Fibonacci sequences about the universe that people haven't noticed or discovered yet?
55:54
I mean, it's just so fascinating.
55:56
I mean, it's like if they're not built on these formulas, per se, and they're just kind of somehow doing it, it's like, are there going to be some some uh Stephven Hawkingesque scientific discoveries to come? >> Probably. I think that's the bad.
56:08
I think we're getting to a point where models are going to start doing really good scientific and and research work.
56:15
Um, I think that's happening slowly and probably we'll see it more. Yeah.
56:18
>> What are the societal cultural implications of world models as you think through it on I mean I do think I agree it's probably a new medium.
56:27
It's probably not quite right to call it gaming or movies.
56:29
It's like some kind of combination.
56:31
I'm sure someone will come up with a name.
56:33
But beyond that, like what are the what are the implications you're thinking through of how we're going to be all dealing with this? >> I don't I don't know.
56:41
Uh, I mean the fact that you can stream pixels in real time of and and simulate every possible world and interaction feels wild. It feels strange.
56:51
It feels definitely there's going to be like um a lot of things we have might need to like prevent.
56:58
And this is not only runway.
57:00
This is like a society as a whole.
57:00
Like there's a lot of things that are hard to like fully understand until you've deployed them at scale.
57:05
Um I I do feel they're going to become the backbone of how we do a lot of economic work.
57:10
And I don't think it's for one company to decide.
57:14
I'm not saying like, hey, we're building role models.
57:16
We've been working it for x amount of years.
57:17
We're going to decide how thing how the cultural impact of this is.
57:20
You're I think it's for society to do decide at large.
57:22
Um I do feel like stuff like the film festival and other venues where you can highlight new generations might help inform those transitions.
57:32
And maybe we need to do more of that.
57:33
just hear a bit more about the people at different tier who are experimenting and and uh kind of hear what they have to say.
57:40
>> It's going to be very interesting what happens over the next several several years.
57:43
I'm a gamer and I follow closely all of the news about the ballooning costs of game development now.
57:50
You know, it's taking Rockstar Games more than 10 years to make the next Grand Theft Auto.
57:57
It seems clear to me that they're going to be a lot more indie developers now, which is really exciting because the tools for creating these rich worlds are no longer uh such a barrier, but I think there's also this risk that things just get kind of bland and vanilla.
58:09
Uh I remember playing the first No Man's Sky game.
58:14
I don't know if you're familiar with that, where they're like, it's got thousands of planets and they're procedurally generated and then you go to one and there's nothing to do.
58:20
And so I wonder what that new job is going to look like.
58:27
People don't talk about prompt engineers anymore, but I think as long as there's some intent and some human ingenuity that's being put uh into these requests, you know, for new worlds, new content, new textures, new uh new ships, new costumes, that it's going to continue to be interesting and we'll just have more good stuff.
58:46
In most film projects, you have like this this bible of sorts which is a book that basically defines the world that you're like doing or building.
58:54
like doing or building. It has art references like like script references just description of characters like that is be for for the crew becomes like the reference point on how you make a lot of things like imagine fitting that Bible book to the model and being like okay here's the world I want to here are the
59:11
rules in which I want you to like operate and instead of describing every single interaction and every single thing you might just provide the right references you're telling the model here's like the world I want you to envision with the references I've come up Now the unique aspect then of like how you make it is not the engine that's making it. It's like what are the
59:29
It's like what are the things? What are the references?
59:30
What are you trying to do?
59:31
And which come back to where was maybe speaking before which is at the end of the day it's about the story.
59:36
It's about like what do you want to tell the world?
59:38
you want to tell the world? We I get this constant feedback from people where they're just getting into AI where like you show them all these amazing videos and images and they're amazed by it and then they you give them you give them runway and you give them the access to
59:51
all of it and the first thing they h they struggle with is like what do I make you know you've handled them like the most powerful machine you they've ever had and they're like uh a cat and a dog you know you're like and then you start to realize that the bottle is like not the way you make it, it's like what you want to make. And that's not going to change
1:00:12
And that's not going to change regardless of tech.
1:00:15
>> I think there's going to be a new golden age for idea guys like me [laughter] who are jacks of all trades with the different creative mediums and just kind of need those tools to bring the bring the vision to life, you know?
1:00:28
I mean, it's not like things are perfect with movies or certainly with Netflix right now where everything is just so blah and generic and that stuff isn't even AI made yet.
1:00:37
I think part of it is just very formulaic just like you know how you know you know how it works and you're just going to repeat the formula.
1:00:43
I think we're tired of that.
1:00:43
But to maybe connect this to what we were talking about earlier too.
1:00:45
talking about earlier too. Do you have advice like when someone comes to you and is like or you hear about uh someone who works in a production house that's adopting runway and >> or they freelance for them and they're like okay my hours are going down now
1:01:01
because the amount of time >> uh that it takes to make things uh is being you know rapidly decreased by tools like runway um and this whole kind of gig freelance economy that has traditionally powered entertainment and gaming like it really hurting as a result of like a lot of this change that's happening. Um, what advice do you
1:01:19
Um, what advice do you have for those people that I think rightfully do then have angst about AI and taking jobs and it goes into the water debate and all that but like fundamentally what's happening is like work that people had is going away.
1:01:35
>> Yeah, I think that's a fair point.
1:01:35
I do agree some jobs are going to go away uh but also a lot more are going to be created.
1:01:39
Um, I think the advice I have is look, there's this is like if if you just think things put things in perspective, video models in the way we know them today are like a year and a half old.
1:01:49
So, you're like at the beginning of one of the biggest and most important like technological revolutions in your industry.
1:01:57
You have the choice to think about this as a thing you will never use or like the thing you just have to learn how to use.
1:02:05
And so the only advice I can consistently give people is like I would choose just like go and use it, experiment with it.
1:02:12
Like the rules and how you use it, the combinations, the workflows are still to be invented.
1:02:19
Like people are figuring out how to best make things with it and you can be the one like pioneering a lot of like techniques.
1:02:25
Um not enough people are realizing that.
1:02:28
And I think when people ask me like how is runway going to be used with Avid or like with their like traditional way of working.
1:02:34
I'm like it's not it's like it's it's you can have fax machines or you can have the internet.
1:02:42
The way you're going to transition from fax machines to the internet.
1:02:44
It's not by connecting the fax machine to the internet.
1:02:46
It's just by learning how to use this new thing you know.
1:02:50
>> So your advice is uh go use my app essentially. >> Go use it.
1:02:54
Ah, it's just I mean of course you use runway but go use go like by now if you haven't used any like AI model like I think you're you're miss like >> I'll be like come on like like these things are insane. They're so powerful.
1:03:10
Like >> I think it's true. >> Yeah, you have to.
1:03:13
>> But I mean the the outcome that everyone hopes for that would be the best outcome is like people can do more work and people have more opportunity with these tools, right?
1:03:21
I think everyone who's building these models for the most part thinks that way or tricks themselves sometimes into thinking that it's like that.
1:03:30
And I'm not saying I disagree with that.
1:03:31
I'm just saying like that needs to happen for all this to work out for people to not really hate AI, especially in creative fields.
1:03:36
Like they need to get work and they need to not um be working less because of AI.
1:03:41
And there is this I think we're just in this kind of messy transition period where people are adapting or not and they're not sure what's on the other side.
1:03:49
And I think that's the thing that that's the angst that I get asked about all the time.
1:03:54
>> My assumption is like, well, things are going to continue to change really more rapidly.
1:03:58
And so you either get in or you don't, but things are going to continue moving at breaknet speed.
1:04:03
And so it doesn't really matter if you think it's not.
1:04:07
It will continue to like scale and change.
1:04:10
And so just try to get in like fast.
1:04:12
Try to understand that there's nothing preventing people from like experimenting.
1:04:15
It's the greatest experimentation era for artists.
1:04:17
It's an like I was I met this like filmmaker. I was in LA a week ago.
1:04:23
I met this filmmaker that it's probably my childhood hero like someone I admire my whole life.
1:04:28
My whole creative career has been somehow inspired by all of his work and now he's like he wanted to meet with me.
1:04:34
So he wanted to finally like he's which felt like a dream but >> plug him. Who is this?
1:04:40
>> I don't think I hopefully you can tell at some point but basically he wanted to I think he he got to a point where was like this is I've seen enough stuff.
1:04:46
I experimented with enough with runway. I get it.
1:04:50
This is the same thing I saw 30 years ago with like computers with detail like compositing.
1:04:55
This is the moment for me to start breaking new ground.
1:04:59
And that feels for me like perhaps an ethos that more people should like breathe.
1:05:03
It's like this is the time for you to imagine entire new ways of making stuff. And it's there.
1:05:08
It's like up for anyone to grab.
1:05:09
If I was an artist like just for Yeah, I would just do it.
1:05:14
>> I can't believe PTA told you that, Chris.
1:05:16
Um, >> I have one more question.
1:05:18
Why do all my startup clients want to write and talk like you?
1:05:23
You know, a lot of them send me your blog posts as examples.
1:05:25
I mean, I guess part of it is you have an arts background.
1:05:30
You're not just some PM turned founder, are you? But, uh, I don't know.
1:05:35
Clearly, you're doing something right.
1:05:36
I mean, what do you think is resonating with your with your thought leadership you put out into the world?
1:05:40
Look, if I have to be honest, I don't think of uh I don't think of what I write as like thought leadership.
1:05:45
This is just literally what I believe.
1:05:46
And if if I have to be honest, when I was writing all of these things like eight years ago, no one cared.
1:05:54
Like it just felt like a very niche, obscure thing to write about.
1:06:00
And maybe if I think about it right now, you asking about it, why do you think I think people might resonate with it?
1:06:06
Is I think because it's just authentic.
1:06:08
like this is I'm not trying to like appeal to someone or like you know write the right thing for Twitter.
1:06:14
I think this is like truly what I believe and and I think one of the hardest things in AI these days is have original thoughts and authenticity like this is who we are.
1:06:23
This is the company and I think runway has we've done this for the last seven years is like the the most consistent thing you hear from people is like the culture is very unique.
1:06:34
it feels different and I think we've cultivated that unique culture and that manifests itself in how we speak and what we do.
1:06:40
I don't think we're trying to pretend we're not performative.
1:06:43
This is like literally like how we think about the world.
1:06:44
And the fact that I guess the fact that that resonates with people, it's great.
1:06:49
Um but we didn't change it before.
1:06:51
It was the same before that is now.
1:06:53
And maybe more people are realizing in a way.
1:06:55
So maybe just be authentic, you know, try to have your own voice, which is sometimes the hard the hardest thing to do. word.
1:07:02
Well, Chris, we appreciate your time.
1:07:05
Thanks for coming on the show.
1:07:07
>> Chris, thank you guys for having me. Great chat. >> Thank you, Chris.
1:07:10
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1:07:31
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1:07:34
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1:07:37
>> Does anybody talk about dark social anymore? >> No, but they should.
1:07:40
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1:07:45
>> And you could find me at hamburger on Twitter and at meaning. com.
1:07:50
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1:07:52
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1:07:55
We'll see you guys >> next week. [laughter] Bye.
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