Latent Space: The AI Engineer Podcast - AI视频正在吞噬世界——奥利维亚和贾斯汀·摩尔,a16z 封面

AI视频正在吞噬世界——奥利维亚和贾斯汀·摩尔,a16z

AI Video Is Eating The World — Olivia and Justine Moore, a16z

本集简介

首批视频扩散模型问世时,基本只是"会动的图片"——将静态画面在时间轴上前后延伸几秒。2024年OpenAI的Sora发布时引发巨大轰动,但迄今仅Sora-lite被广泛开放使用。与此同时,Genmo Mochi、Pika、MiniMax T2V、腾讯混元视频、快手可灵等优质视频生成模型相继涌现,但今年的王者当属谷歌Veo 3——该模型首次内置原生音频生成功能,彻底省去了唇形同步工具和音效编辑流程。Veo 3的崛起为AI视频创作开辟了新领域,虽然我们许多观众尚未接触,但在TikTok、YouTube和Instagram等平台的"儿童向"与"脑洞向"内容板块中,这种技术已展现出不容小觑的效力。目前对这些趋势最出色的民间观察者当属a16z合伙人Olivia与Justine Moore姐妹,她们不仅汇编全网最佳案例,还亲自尝试视频创作来践行理论。我们正考虑在Latent Space的副频道试水AI脑洞内容,因此特邀摩尔姐妹分享如何打造"Latent Space脑洞频道"的心得。快来收听吧!

双语字幕

仅展示文本字幕,不包含中文音频;想边听边看,请使用 Bayt 播客 App。

Speaker 0

大家好,欢迎收听Ledient Space播客。我是Alessio,Decibel的合伙人兼首席技术官,今天和我共同主持的是Small AI的创始人Wix。

Hey, everyone. Welcome to the Ledient Space podcast. This is Alessio, partner and CTO at Decibel, and I'm joined by my co host, Wix, founder of Small AI.

Speaker 1

大家好。今天我们有一期非常特别的双嘉宾节目,欢迎Justine和Olivia Moore。

Hello. Hello. We have a very special double guest episode, with Justine and Olivia Moore. Welcome.

Speaker 2

嗨,谢谢邀请。能来这里我们很兴奋。

Hi. Thanks for having us. We're excited to be here.

Speaker 0

我想你们是这个播客的第一对双胞胎嘉宾。

I think you're the first twins on the pod.

Speaker 3

我们很荣幸。我们很喜欢这个头衔。

We're honored. We love that.

Speaker 1

Olivia,你戴眼镜是为了更容易区分吗?这是你们的习惯吗?

Olivia, are you are you wearing glasses so it's easier to differentiate? Is that like a thing?

Speaker 3

不是的。虽然我们是同卵双胞胎,但我们的视力问题正好相反。实际上我需要戴眼镜而Justine不需要。是的,不过那样确实会方便些。

Or No. We have opposite even though we're identical twins, we have opposite vision problems. So I actually need glasses and Justine doesn't. Yes. But it would be nice.

Speaker 3

对。有时候我们觉得应该在额头上贴名字标签什么的,但我觉得眼镜也能达到同样效果。

Yeah. Sometimes we think we should do like name tags on our foreheads or something, but I think the glasses work just as well.

Speaker 1

你们两位都是Andreessen Horowitz的合伙人,但今天我们邀请你们主要是想聊聊你们深度参与的生成式媒体领域。这个领域我们讨论得还不够。我注意到一个变化——Ledient Space本身就是因为Stable Diffusion而创立的。之后图像生成器确实有所进步,比如Recraft比某某更好,Black Forest Labs顾问等等,但它们终究只是图像生成器。我认为视频生成才是当前热点,当然之前还有音乐生成。我们很想做一期相关节目。另外我想预告的是,我们真的很想开始将这项技术用于Ledient Space本身。

So both of you are partners at Andreessen Horowitz, but also I think, we're actually inviting talking to you in a in a capacity of you're just very involved in generative media. We don't cover enough. And I, like, I can see a change. Layton space itself was started because of stable diffusion. And then there was like, yeah, improvements in in image generators for a while.

Speaker 1

你可以看到,比如Recraft比某某更好,然后是Black Forest Labs顾问等等,但它们都只是图像生成器。我认为视频生成才是当前热点,当然之前还有音乐生成。我们很想做一期相关节目。另外我想最后预告的是,我们真的很想开始将这项技术用于Ledient Space本身。

You could see, like, Recraft is better than blah, and then Black Forest Labs consultant and blah, but like, they're all just image generators. I think video gen and then obviously there was music gen for a while. Video gen I think is like the current thing. And we really wanted to do an episode on that, I guess. And then also I think the last piece that I will preview is that we really wanted to start using it for Laiden Space itself.

Speaker 1

所以我们确实需要一些帮助。我们需要了解大家正在做什么的概览。我们可以从那里着手。我,你知道的,我保存了一些你的推文,但我不确定你想从哪里开始。

So we could use some help. We could use some overview of like what people are doing. We can sort of take it from there. I I, you know, I have some, like, some of your tweets pulled up, but I I don't know how you wanna start.

Speaker 2

其实挺有趣的。我也是在九月份通过稳定扩散技术接触生成式媒体的,之后发展速度惊人。我和奥利维亚经常讨论这个,因为以前创意领域的朋友们看到AI图像和视频生成时会说'我不担心这个'或'工作中用不上',觉得这只是个无聊的消遣。但今年初开始,有些人开始转变态度,觉得或许该学习这些工具的原理和用法了。

It's really funny, actually. I got into generative media too with stable diffusion in, I think, was, like, September, and it's grown so quickly since then. And Olivia and I talk about this all the time because it used to be that our friends in creative fields would look at, like, the AI image and video generation and be like, I'm not worried about that, or I can't use it in my job. Like, this is kind of just a silly side thing. And then I think starting earlier this year, we started getting a few of them being like, maybe I should maybe I should learn a little bit more about how these work and how to use them.

Speaker 2

现在周末真的会有人来我们家,让我们手把手教他们使用这些工具,比如演示操作流程之类的。

And now we'll literally have people coming over to our house on the weekend so we can, like, give tutorials and walkthroughs of, like, here's here's the tools. Here's how you use them, that sort of thing.

Speaker 3

我想说我们在其他平台也看到了同样趋势。如果你最近刷过TikTok、Reels或YouTube Shorts,过去一周可能90%的内容都是AI生成视频。两个月前还只有那个很火的橙色小猫动画,后来是意大利脑残摇滚角色,但当时只有少数人在做AI视频。现在估计有数十万人都在制作发布AI视频,这太棒了。

I would say we've seen the same thing happen on I mean, if you've been on TikTok or Reels or, YouTube Shorts recently, in the past week, probably 90% of your feed is AI generated video. Like, even two months ago, it was like that little orange cat cat animation that was super popular. And then it was the Italian brain rock characters, but it was just a few people making AI video. And now there's, like, I would guess, hundreds of thousands of people making and publishing AI video, which is just awesome.

Speaker 0

抱歉打断下,我想确认意大利脑残摇滚是意大利人做的吗?还是说这个名字...我还没搞明白起源,没追踪到意大利面包和...

Sorry. I just wanna clarify. Are the Italian brain rock made by Italians, or is the descent like, are the names it's I haven't quite figured that out. I haven't been able to trace it down to the origins of the Italian bread and

Speaker 3

摇滚。

rot.

Speaker 2

这很复杂,因为是人们不断改编的去中心化梗。我也研究过这个问题,答案是否定的——并非源自意大利人,只是早期有人觉得名字听起来像意大利语,所以叫它意大利脑残摇滚。

It's complicated because it's a decentralized meme that people are taking and remixing. I actually looked into this question as well. And I think the answer is no. It did not come from Italians, but someone early on thought the name sounded vaguely Italian, and so they called it Italian brain rot.

Speaker 0

我们是清白的。我就想知道这个。只要不是我们的锅就好。

We're innocent. That's all I wanted to know. As long as we're not, it's not our fault.

Speaker 1

我甚至不知道意大利脑残摇滚这事,但我也想稍微展示说明下,让观众能跟上节奏。所以就是这个对吗?

So I didn't even know about the Italian brain rot, but I wanted to, like, kinda show and tell a little bit as well, so that our viewers can watch along. So this is it, apparently?

Speaker 3

没错。这本质上是个角色宇宙。最初是去中心化的,一个人创造了几个角色,后来TikTok上其他人陆续添加自己的角色,最受欢迎的就被奉为正统了。

Exactly. So this essentially was kind of a universe of characters. Started decentralized, like one person made a few characters, and then a couple other people on TikTok added their own characters to the universe, and the best ones became kind of like canon.

Speaker 2

它们最初是以图像形式出现的,这点可能需要澄清。后来人们开始将它们动画化成视频。是的。

And they started as images is probably important to clarify. And then they people started animating them into video. Yes.

Speaker 3

然后有些人,就像你在这类音乐视频中看到的,制作了所有角色合集的混剪,或是角色互动的视频,完整的故事线由此形成。于是这就发展成了庞大的娱乐现象。我昨晚还看到,这个IP已经进化到人们在售卖玩具套装、T恤和毛绒玩偶了。最让我震惊的是第一个视频里,一个真实的孩子对待这些角色的方式——他熟记每个角色,就像对待尼克儿童频道的角色一样。

And then some people, as you can see in this kind of music video, did, like, compilations of all the characters together or videos where the characters were interacting with each other and whole story lines were forming. And so it became this whole giant entertainment thing. I saw last night actually there. The IP has evolved to the point where people are now selling, like, toy sets and T shirts and plushies. And the crazy thing about this first video to me is it's like a real kid who is treating these character, like, knows them by heart and is treating them like they're Nickelodeon characters.

Speaker 1

为什么不呢?

Why not?

Speaker 3

这实在太疯狂了。但我能理解,因为他每天能在TikTok上看几十甚至上百个这些角色的视频,而尼克频道可能每周只播一集你的节目。所以我认为这种沉浸速度是很快的。

It's absolutely wild. But I get it because he's he's able to watch like dozens if not, you know, hundreds of videos of these characters every day on TikTok, whereas Nickelodeon might put out like one episode of your show every week. So you get attacked fast, I think.

Speaker 1

所以这其实是给孩子们看的?不是面向成人的?我不太确定。

So this is I mean, this is actually for kids, so it's not for adults. I I don't know.

Speaker 2

但成年人也爱看。他们创作音乐剧,制作电影,还开发更成人向的剧情线,比如角色间的出轨情节。所以我认为是两者兼顾的。

Adults love it, though. They're making, like, musicals. They're making, yeah, movies. They're making more, I would say, adult oriented storylines of, like, the characters cheating on each other. So I would say it's for both.

Speaker 1

无脑刷这些大脑摇滚角色确实很有趣。我在想,你是怎么追踪热点的?你的工作流程是怎样的?除了无意识地刷视频外,你如何梳理这个宇宙的体系?我觉得报道这类内容最难的就是这点。

It can be too fun to to scroll brain rock characters. I was wondering, like, how do you keep track? What is your process? How do you organize the universe apart from just mindless mindlessly scrolling? You know, I think that's the hard part about covering something like this.

Speaker 2

你指的是追踪流行趋势还是模型迭代?或者两者都是?

Keeping track of trends or models or both?

Speaker 1

先说说趋势吧。模型总会更新换代——现在流行VO3,但很快又会有新东西出现,对吧?

Trends first. I think models models will come and go. Like, the current thing is v o three, but, like, there'll be a next thing. You know?

Speaker 2

我认为首先要知道特定时间段的趋势发源地。早期AI视频其实起源于Reddit——在AI视频刚兴起时,有大量用户在那些论坛里创作和发布内容。

I think first of all, you have to know where the trends are are originating at that point in time. Initially, with AI video, it was actually Reddit. Like, the early days of AI video, you had a ton of people making and posting stuff in those in those forums.

Speaker 1

具体是哪些呢?

And which ones?

Speaker 2

AI视频、ChatGPT、奇点技术这些,基本上所有AI相关的内容。AI视频曾一度是最火的,然后像我这样的人会把那里的优质内容搬运到推特上。最精品的那些最终可能会流传到TikTok或Instagram,但这种情况相当少见。现在,特别是v o三和mini max二发布后,还有那些动物跳水之类的视频,我们看到了一种反转——大多数病毒式传播的内容现在都源自真正的消费者日常平台,也就是TikTok和Instagram。

AI video, ChatGPT, Singularity, like, basically all of the AI oriented. The AI video one was, like, the one for a while. And then people like me would take the best content from there and bring it to Twitter. And then, like, the very best would sort of make its way eventually to TikTok or Instagram, but that happened pretty rarely. Now, especially after v o three and, like, mini max two and, like, with the animals diving and that sort of thing, we've actually seen, like, a flip where most of the viral content is now originating on the true consumer, like, everyday consumer platforms, which I would say are, like, TikTok and Instagram.

Speaker 2

因为越来越多的普通用户(非技术人员)也能制作高质量有趣的内容,还能混剪他人的创作。像意大利脑摇滚这类角色,在Ins和TikTok上的热度比在X平台高百万倍。所以现在我们更多时间都泡在那些平台,观察社区里哪些内容开始形成势头——人们在混剪迭代什么?他们在创建什么类型的账号?比如那些vlog?

And so because people more like everyday people who are not technical can make quality, interesting content, and they can remix content that other people have created. These characters, like the Italian brain rock characters are, like, a million times bigger on Instagram and TikTok than they are on x. And so nowadays, I'd say we spend more time on those other platforms and then sort of watching what starts getting momentum in the community. Like, what are other people remixing and iterating on? What are people making accounts for, like the vlogs?

Speaker 2

然后最终,哪些内容会流向X平台和Reddit?

And then eventually, like, what what starts making its way to x and Reddit?

Speaker 0

你是不是有个被'最大脑残算法'污染的账号?用完就锁进保险箱那种?

Do you have kinda like a contaminated account that you use with, Max Brain Rot algorithm? And then once you log off, it's like you close that you close that in a safe and look at it?

Speaker 2

不,我选择永远浸泡在脑残内容里。所以特意没弄单独账号。

No. I like to live in the brain rot all the time. So I purposely do not have a separate account.

Speaker 3

我倒是有。还自己建了账号,可以分享屏幕给你看。

I actually do. I even made my own account. I can share my screen.

Speaker 2

没错,奥利维亚现在都成这类视频的TikTok创作者了。

Yep. Olivia's become like a TikTok creator for these videos.

Speaker 3

b o三发布后,我信用卡额度都用爆了,现在得借用贾斯汀的特殊账号。我当时就想试试这行的钱到底有多好赚?

So once b o three came out, and now I've, like, maxed out all of my my credit, so I need to use Justine's special account. But I was like, okay. I'm curious, like, how low hanging is the fruit here? Like, how easy is it to actually kind of make money on this?

Speaker 1

哦你自己建号了啊。嗯嗯。

Oh, you made your own. Yeah. Yeah.

Speaker 3

我自己制作的。然后我开始尝试各种提示词并亲自测试这些视频。好吧,来看看。我开始了——你看我现在是在自曝其短。

I made my own. And then I was experimenting with all the prompts and trying the videos myself. Okay. Let's see. So I started you can see I'm exposing myself here.

Speaker 3

但最初是水果切片ASMR视频兴起时入手的。我当时想,行吧,让我发挥创意试试自己的形式,比如打开龙蛋或敲鸡蛋之类的。效果不太理想。后来我跟着水果潮流做,你看那个效果最好。

But I started when the fruit slicing ASMR videos emerged. And I was like, okay. Let me get creative and try my own formats, like opening dragon eggs or cracking eggs or something. It didn't really work. So I did the fruit trend myself, and you can see that did the best.

Speaker 3

我觉得无论什么形式都永远奏效的潮流是熔岩主题。人们就是爱看吃熔岩、捏熔岩、剥熔岩外壳。看评论区就知道,大家简直痴迷这个。后来我发现VO3有个有趣之处——至少对卡通角色没有IP限制。

I think the trend that always works, like, in any format is lava. Like, people love, like, eating lava, squishing lava, like peeling the crust out of lava. Like, you can see in the comments, like, people are just completely obsessed with it. And then I evolved into the interesting thing about v o three is there's no IP restrictions, at least on cartoon characters. Yeah.

Speaker 3

真人是有IP限制的,但卡通角色没有。所以你可以让《星际宝贝》里的史迪奇自己做ASMR视频,特别有意思。说实话我就是跟着流行趋势走,比如有阵子流行捏金条。最让我惭愧的是最后居然也跟风做了汰渍洗衣凝珠食用视频。

On real people, there are. On cartoon characters, there are not. So you can make, like, Stitch from Lilo and Stitch doing his own ASMR videos, which was super fun. And then I just kind of honestly was, like, following the trends of of, like, what was popular, like gold bar squishing became a thing for a while. I would say the thing I'm most ashamed of that I eventually ended up falling for is the Tide Pod consumption.

Speaker 3

这是非常火爆的视频类型。你看评论区,很多人承认看直播就是为了看AI角色安全地'吃'汰渍凝珠。做这些视频特别有趣,我还跨平台发布到YouTube和Instagram,观察不同平台的受众反应差异很让人着迷。

This is a very popular genre of videos. And as you can see, people are admitting that this is their livestream to be able to eat a Tide pod, and the AI characters can do it completely safely. So these were super fun to make. And I would I would cross publish them on, like, YouTube and Instagram, and it was fascinating to see, like, what what worked differently on what platforms.

Speaker 0

这些都是直接文字生成视频吗?有没有试过图生视频来更好地控制效果?

Were all of these text to video directly? Do you ever do frame to video and to maybe steer it a little more?

Speaker 3

基本都是用VO3直接文字转视频。少数用了MiniMax模型,比如最近爆火的奥运会动物跳水板趋势——我用星球大战角色做这个题材。为了精准匹配音效,先用MiniMax生成视频,再用Eleven Labs音效模型手动添加音效,虽然对齐时间轴花了很多时间,但成品效果非常令人满意。

Yeah. Almost all of them were v o three, just directly text to video. I did a couple on the mini max model, especially the new trend of, like, animals diving off the diving board at the Olympics, which went mega viral. I did that with the Star Wars characters, and I just wanted to get the sound effects, like, super dialed. So I actually did that with the mini max model and then used the new Eleven Labs sound effects models to hand generate the sound effects, which took a very long time to kind of generate them and then line them up at the right spot in the video, but it was very satisfying when I was done.

Speaker 2

很多人不知道的是,VO3其实不支持带音频的图生视频——谷歌出于信任与安全考虑尚未开放该功能。界面里虽然可以选择起始帧,但如果用VO3文字转视频模型,系统会自动切换回VO2并提示你。

Because the thing to know about v o three that I think a lot of people don't know until you use it is you actually can't do image to video with audio. Google hasn't released that yet. Would assume for trust and safety reasons. In the interface, you can start with a frame. But once you do that, if you're doing it on the v o three text to video model, it will switch you back to v o two and will tell you, hey.

Speaker 2

系统会切换到支持图生视频的兼容模型,这就导致角色一致性很难保持——除非你用的像暴风兵或耶稣这种模型已理解的标志性形象,不需要起始帧也能准确重现。

We're switching you to a model that's compatible to starting with an image, which means that it makes it super hard for, like, character consistency, right, if you're not able to start with an image of the same character over and over again, which is part of why you're seeing so many of these viral trends using things like a stormtrooper or like Jesus, where there's, like, a known identity that the model already understands and can recreate without a starting frame.

Speaker 3

很多雪人和大脚怪视频都爆红了。它们有自己的频道做日常vlog,收获数百万粉丝和数十万点赞。这些内容真的很有趣,你会逐渐对这些角色产生情感共鸣,特别有意思。

A lot of the Yeti and Bigfoot videos have gone super viral. Like, the they have their own channels where they're making daily vlogs, and they're getting, like, millions of followers and hundreds of thousands of likes. And they're genuinely really entertaining and you start to feel like an affinity with the characters, which is super fun.

Speaker 1

这就是我之前看到有人发过的那个。其实我已经取消订阅了,但我还在看。

This is the one that I, somebody somebody posted about it. I've actually unsubscribed. I'm watching it.

Speaker 2

它们真的很棒。而且有真实的故事线,特别是考虑到很多人对官方IP的发展方向不太满意。所以他们更倾向于自己掌控故事走向。

They're so good. And they're like real storylines, especially I think there's a lot of people who are, like, not happy with the way the official IP has been going. And so they prefer to they're like, I can control the story myself now.

Speaker 1

另外,显然看不到他们的嘴是件好事,这样他们就

Also, I mean, obviously, it's nice that they you don't see their mouths. So it's can't they

Speaker 2

没法说话

can't speak

Speaker 1

没有这个确实不行。对了,你怎么没做vlog?是专注在做ASMR吗?

without it. Yeah. So how come you haven't done a vlog? You're just focused on the ASMR?

Speaker 3

没错。ASMR视频确实更容易生成。说实话,VO3的智能程度让我震惊。贾斯汀你可能更了解这个——即便是用非常基础的提示词,它也能做出专业级别的ASMR视频,虽然我对此...

Exactly. Those are easier to generate for sure. I've been shocked by, like, how smart v o three is. And Justine, you probably know more about this. But, like, from a pretty under optimized prompt for something like an ASMR video because I don't know.

Speaker 3

我猜它至少部分训练数据来自YouTube。所以任何YouTube上已有的视频类型,它都能根据一行提示词生成接近专业创作者水准的内容。但叙事性的人物vlog要复杂得多,目前这超出了我的能力范围。

I have to imagine it's at least somewhat trained on on YouTube data. So anything that already exists on on YouTube, like any genre of video that already exists, it does a really good job of taking like a one line prompt and, like, turning into something that you would see like a professional creator publish. But the vlogs, the narrative character driven vlogs are a little bit more complicated. It's outside of my skill set right now.

Speaker 2

从技术角度说,我每天生成几十个VO3视频,只是大部分没发到TikTok或Ins。我确实尝试过vlog形式,其实做起来挺简单的。

I would say that we tech like, I generate dozens of v o three videos every day and just don't post most of them on, like, TikTok or Instagram. So I've definitely experimented with the vlog format, and it's, like, pretty easy to do.

Speaker 0

你觉得角色熟悉度占多大因素?比如暴风兵内容可能本身不怎么样,但架不住星战粉丝多——你看我旁边就摆着贝塔玩偶。你觉得现在是不是处于一个'把所有知名IP用新形式重混'的红利期?之后热度会消退吗?毕竟我们不是消费专家,想听听你的看法。

How much of a part do you think the character familiarity plays into it? You know, maybe the Stormtrooper content is actually not that good, but there's so many Star Wars fans including you know, I mean, you can see I have a beta on that right there. Do you think there's kinda like an initial slope of like, hey, let's remix all known IPs in, like, this new format, and you get a lot of attention? Then do you kinda see that peter off? Or we're not consumer experts, so I'm curious to hear your thoughts.

Speaker 2

这问题太棒了。我们和很多被投企业都在思考这个——如何让内容脱颖而出,或者如何帮用户用他们的平台做出更 viral 的内容。经过研究和AB测试,我们发现AI视频这类新形式要成功需要两个要素:既要有熟悉感,又要有新颖的转折点。

It's such a good question. We and our a lot of our portfolio companies ask us this because, obviously, they're all trying to figure out how do they make their content stand out or how do they help people make more interesting and viral stuff using their platforms. So we've thought about this and studied this and AB tested different video formats. I think there are, like, a couple things that benefit new formats like AI video in general. One is having some element of familiarity, but then having an interesting twist on it.

Speaker 2

我觉得它同时触发了人们大脑中的多个兴奋区域——比如当你看到暴风兵时会想‘我认识这个角色’,然后因为已经沉浸在星球大战的故事线里,就会继续看下去想知道后续发展。但更奇妙的是,当暴风兵在AI视频里做出电影宇宙中绝对不可能的行为时,你大脑又会产生另一种愉悦感。当然可能有2%的星球大战死忠粉会留下愤怒评论。

I think it, like, hits multiple of the, like, good sectors of people's brains when you're like, oh, it's a stormtrooper. I know this. I'm gonna, like, keep watching because I'm, like, already bought into the storyline of of star wars, and I wanna see what happens next. But then, like, you get this other weird happiness in your brain when the stormtrooper does something in the AI vlog they would, like, never do in the real cinematic universe. I mean, like, 2% of, like, the star wars hardcore fans will, like, leave an angry comment.

Speaker 2

比如‘这太不真实了’。但更多人会觉得‘这太酷了!我一直幻想这种场景,现在居然成真了’。使用经典IP的优势就在于,你直接激活了观众脑中已有的认知关联,让他们停下滑动的手指。不过说实话,我们发现第二种有效策略是纯粹搞怪的内容。

Like, this isn't realistic. But, like, a ton of them are like, oh, this is super cool. Like, I always wondered about this, and, like, now it can happen. One of the benefits of starting with established IP is, like, you're already tapping into a known association in people's brains that makes them stop scrolling and be interested. The second thing we've seen work, though, honestly, is, like, just super weird stuff.

Speaker 2

就像意大利大脑摇滚角色——它们没有任何IP基础对吧?完全是原创的,但那种古怪有趣的调性会让你忍不住想‘这到底是什么鬼?是我产生幻觉了吗?他们说的是外语还是英语?’

Like, this is why the Italian brain rock characters, like, they're not based on any existing IP. Right? They're just completely new, but they're just strange and interesting enough that you're continuing to watch just to see, like, what the heck is this? Like, am I hallucinating? Are they speaking a different language, or is this English?

Speaker 2

反正我是完全看不懂。所以我认为未来会出现更多这类AI创作的IP内容。

And I just don't understand it. And so I think over time, we'll see more AI, like, IP like that.

Speaker 3

我最爱的案例是金刚Kim——再分享下屏幕——这是个TikTok新角色,我甚至不知道创作者是谁。它扮演动物园里脾气暴躁的金刚Kim,主线剧情就是和饲养员Becky斗智斗勇试图逃出动物园。所有视频都获得几十万点赞。

One of my favorite examples, and I'll screen share again, is Kim the gorilla, which is another TikTok character. And this is a a new character. I I actually don't even know who makes it, but it's a gorilla in a zoo named Kim who's has a real attitude. And the storyline over time is just her constant conflict with a zookeeper named Becky who she's fighting with and trying to escape from. And you can see, like, all of her videos get hundreds of thousands of likes.

Speaker 3

这个账号在极短时间内就积累了30万粉丝。对,那个经常和Kim斗法的就是Becky。现在它已经有自己的官网和免费周边商品,主题都是‘逃离动物园’。

She already has, like, 300,000 followers in, like, a really short period of time. Yeah. That's Becky that she's kind of fighting with in most of these storylines. She already has her own website, her own free gym merch. Merch as she tries to escape from the zoo.

Speaker 3

这种事放在以前很难想象——创作者大概率不是专业制片人,也不太可能...

And so it's this kind of thing where it's like, who knows if this person would have been able to make this content before. Like, I'm guessing they're not a professional filmmaker, but, like Or

Speaker 2

搞到真金刚来拍戏。确实。

had access to a gorilla. Like, who yeah.

Speaker 3

还得是演技精湛的金刚演员。不光是找到金刚,还得找到会演戏的金刚。也不是随便谁用AI工具都能持续产出这么有趣的叙事创意。所以我认为核心还是需要创意人才,只不过现在他们多了件新工具。

And a great gorilla actress as well. Yeah. Not just a gorilla, but a gorilla who can act on camera. It's not also like anyone with v o three is gonna come up with a really fun, great narrative idea like this and keep it going over time. So in my mind, it's still a mix of, like, we need great creatives, but now they just have, like, a a different tool set.

Speaker 1

对,未来创意人才会更多。其实人类对金刚脸盲反而是优势,解决了形象一致性问题。再加上粉色蝴蝶结这种标志性元素——就算戴歪了也容易辨认。

Yeah. They're just gonna be a lot more creatives. Yeah. I would just appreciate we are more face blind to gorillas, so that that solves the consistency problem. And then you add the the pink bow that makes it more recognizable even if it's, like, misplaced.

Speaker 1

这太聪明了。简直让我觉得自己很蠢,当我看着这些人解决AI问题的方式时。你懂吗?

It's so smart. It's just, like, I feel just dumb when I I look at these people and then how they solve AI problems. You know?

Speaker 2

我觉得更有趣的是人们互相混搭作品。比如有人做了个雪人,然后其他人发现,哦,我可以通过让雪人在四个不同片段里保持形象一致来绕过八秒限制。接着有人说,我要用冲锋队员来做;另一个说,我要用大猩猩。然后又有人看到猩猩视频后说,我要做成雌猩猩在动物园里和饲养员争斗的样子。

I think the really interesting thing too is people remix each other's work. Like, someone does a YETI, and then other people realize, like, oh, I can get around the eight second limit by having a yeti be look consistent across four different clips. And then someone's like, oh, I'll do that as a stormtrooper. Someone else is like, I'll do it as a gorilla. And then someone else sees the gorilla clip and is like, I'll make it a female gorilla, like, feuding with a zookeeper in a zoo.

Speaker 2

当我与AI创作者交流时,发现其中不少人确实有全新原创想法,特别是那些长期从事创作、会画故事板设计完整剧情的老手。但更多人就是这样直接混搭别人的作品,然后整个宇宙就由此演化出来。

And when when I talk to AI creators, like, a lot of the some of them have just completely new original ideas, especially established creatives who have been doing it for a long time and storyboard and come up with these whole storylines. But many are just literally remixing other people's work like this, and then the universe evolves from that.

Speaker 1

对于刚入行的人来说,拥有完全自主掌控的知识产权其实非常宝贵。所以我其实尝试过联系Lil Makayla做个采访。

For people who are kinda newish to this whole field, it is actually very valuable to have your own IP that, you entirely control. So effectively I actually tried to get an interview with Lil Makayla.

Speaker 2

啊,是的。

Ah, yes.

Speaker 1

这话可能听起来很 cynical(愤世嫉俗),但 cynical 的版本就是:你拥有一个永远服从你的网红。嗯哼。对吧?是的。所以他们永远不会谈论政治之类的话题。

This can be cynically taken or whatever, but, like, the cynical version is you have an influencer that will always obey you. Mhmm. Right? Yeah. So they'll it'll never speak out about, like, political stuff.

Speaker 1

它只会按你的要求行事,表现得...你知道,这对AI模型来说很残酷,但希望它们还没到深圳那种程度(暗指过度控制)。不过在此期间,你拥有完全掌控的资产。你可以摆姿势,然后把它们放到各种情境里。

It would just just do what you ask it to do and behave and and, like, you know, that's rough for the AI model, but, you know, hopefully, they're not Shenzhen yet. But in in the meantime, you have, like, a property you completely control. And, like, you can pose them and then put them in all sorts of situations.

Speaker 2

这部分特别有意思。我有个很激进且有争议的观点——有些人会反感——说实话以前要做Instagram或YouTube网红,多数得是帅哥美女。现在任何人都能成为人气网红,不必符合外貌标准。你有多少朋友特别幽默、个性超棒、创意十足,但就是不符合Instagram网红的那种审美标准?现在谁都能创造符合审美标准的AI角色,然后用自己的大脑来创作内容。

That part is so interesting. I'll I have, like, a very hot and controversial take on this, which some people hate, which is, like, before, honestly, to be, an Instagram or YouTube influencer, most of them are hot people. And now it's like anyone can be a popular influencer, and you don't have to be a hot person. Like, how many friends do you have that have, like are, like, really funny and have, like, great personalities and are super creative, but they, like, don't fit the exact beauty standard of, like, what an Instagram influencer is? And now it's like anyone can create a character who like, an AI character who meets the beauty standard, and then it can be their brain behind the content.

Speaker 3

我们已经在初创公司或产品堆里见过这种模式,Justine研究过很多案例——基本上就是靠AI图像打造自己的Instagram网红来赚钱。很多人通过这个赚了数万美元,有时还会搞订阅制提供额外内容,赚得比Instagram广告多得多。但我觉得AI视频会让这个市场爆发式增长十倍。

We already saw this with whole startups or stacks of products, and Justine looked at a bunch of these where it was, like, basically make money by building your own Instagram influencer off of AI images. And a lot of people were making, yeah, tens of thousands of dollars through that. They would even have sometimes, like, a subscription that you could sign up for to get extra content for them that would make, like, a ton more money than they could make on Instagram ads or something like that. But I feel like with AI video, it's just gonna explode 10 x.

Speaker 0

你怎么看变现的格局?比如用AI造个虚拟人卖产品,我做意大利脑波玩具然后卖货;或者单纯刷流量,在社交平台狂发视频赚每百万次观看的收益。

How do you see the monetization kind of landscape? So there's the I use AI to make a fake person that then sells some product. I make the Italian brain rod things, and then I sell the toys. Or I just get a lot of views. I just spam videos on socials, and I get views and kinda get the the views per per million.

Speaker 0

你是否预见到未来Patreon或这类变现平台可能沦为AI的投喂工具?或者我很好奇你的预测。

Do you see a future in which maybe, like, Patreon or, like, some of these other monetization things end up being KI slob feeds? Or I'm curious your predictions.

Speaker 2

好的。我认为目前人们有多种变现方式。最主要的是你提到的社交平台根据视频流量和互动付费。另一种是用于广告或为实体业务引流。

Okay. Yeah. I think there's a mix of ways that people are monetizing. I think the number one way is what you mentioned, which is the, like, you get paid by a social platform for, like, driving eyeballs and engagement to your videos. Another way is, yeah, we've seen people use them for, like, ads or driving traffic to an actual business.

Speaker 2

我们还看到像Nick Saint Pierre这样的专业提示工程师通过在线课程或咨询获利。实际上很多顶尖AI创作者都在幕后做企业咨询,他们的爆款内容本质上是在获取潜在客户。

We've also seen people who are, like, really skilled prompters, people like a Nick Saint Pierre who sell online courses or do a lot of consulting. Like, a lot of actually the best AI creators do a lot of consulting work behind the scenes, whether it's with companies or with brands. And the viral content they create is, like, generating leads for these people to reach out to them and be like, hey. I wanna learn how to do this. And then they either, like, sell a course or they sell their consulting services.

Speaker 2

我期待的是首部被Netflix或Hulu收购的AI原生IP。当内容由上千个角色共同生成时,如何分配收益?但考虑到Instagram上意大利脑洞内容的火爆,完全可能被流媒体买断角色版权。

What I'm waiting for is, like, what is the first AI native IP or AI videos that get packaged and bought by, like, a Netflix or, like, a Hulu? And then, like, from there, how do you even determine, like, who gets paid in that scenario when, like, this gets bought because it's the brainchild of, like, a thousand different characters? But, like, I'm sure given the popularity of Italian brain rot on on Instagram and TikTok, like, you can totally imagine someone like Netflix wanting to buy and reuse or license those characters for their old content.

Speaker 3

我的经验是制作这类视频成本仍然很高,特别是使用v o three时。就算只是切水果的简单内容,也需要反复生成八次才能达到可发布水准。复杂内容的制作成本更是惊人。

My learning of making a bunch of these videos and trying to post them on social feeds is it's actually, like, very expensive still to produce just because v o three is so expensive. And especially if you're making more complex content than, like, someone slicing a glass root. And even that in itself, like, I would have to do, you know, eight generations before it was cutting the fruit in the right way that I could post it and people would be happy. But especially if you're doing something more complex, like, and you're using something like v o three, it's it's really expensive to run to run these because you get a certain amount of generations on kind of the core plan, but then you have to pay for extra credits. Exactly.

Speaker 3

以切水果为例,经常出现横向切割或切面畸形的情况。必须多次生成才能得到可用版本。目前生成成本仍高到需要精打细算,否则投资回报率很难达标。

This is the fruit example. Like, lots of times when I tried to generate it, it would, like, you know, cut it horizontally instead of vertically, or the layers would look weird once you cut them through. And so, you would end up having to do a bunch of generations to get one that works. But, yeah, my learning is that the generation is still expensive enough that it's like you have to kind of be smart about how you're gonna make money from it. Otherwise, I think a lot of people are gonna find that the ROI isn't really worth it.

Speaker 0

社交媒体的分成大概是每百万播放20美元左右?

And roughly the payouts on the social medias are, like, $20 per million views, something in in that range?

Speaker 1

这数字偏高了吧。

That sounds high.

Speaker 3

首先要达到创作者计划的流量门槛才能变现。我在TikTok发的视频就没资格分成。需要先有一两个爆款获得资格,之后还要持续产出高播放内容。钱没那么好赚。

You have to go well, it depends on the platform, but it's like you have to go viral enough or get enough views to even qualify for, like, a creator program where you can then make money. Like, with my videos I posted on TikTok, I'm not part of the creator program, so I'm not making money from those. So it's first, like, you have to have one or two videos that ideally go hyper viral and qualify you. And then after that, it's like, yeah, you have to get enough views on each incremental video that you're actually making money from them. So it's not, like, cash sitting on the ground, I would say, on on these platforms quite yet.

Speaker 1

我纠正下,每百万20其实算低的?可能是TikTok水平。我原以为是每千次20美元...

I was gonna correct myself. Twenty twenty per million is is actually low, I I think. Or maybe that's TikTok level. I was thinking 20 per meal, which is a thousand. But

Speaker 2

是的。我认为这也取决于参与度等因素。但另一个非常有趣的现象是,很多人——有些人制作这些病毒式传播的视频,然后用来推销东西,无论是他们的时间、课程还是其他什么。而很多人终于有机会在网上发展一个大账号。当你以前从未能发展出一个大型社交媒体账号时,现在通过AI游击视频博客获得数万点赞和数千粉丝带来的多巴胺刺激,我认为这也激励了不少人,这很迷人。

yeah. I think it also depends on, like, the engagement and stuff like that too. But, like, the other really interesting thing is a lot of people are so some people are motivated by I make these viral videos, and then I use it to sell something, whether it's, like, my time or a course or whatever. A lot of people just finally have the opportunity to grow a big account online. And, like, the dopamine hit of getting, like, tens of thousands of likes and, like, thousands of followers on an account doing, like, AI Guerrilla vlogs when you were never able to, like, grow a big social media account before, I think that is motivating a bunch of people too, which is fascinating.

Speaker 2

这些人都在体验作为早期采用者的感觉,他们正在开创一种新的内容形式,而人们对此疯狂追捧。这种感觉非常有成就感和乐趣。

Like, these people are all experiencing what it's like to be early adopters who are, like, pioneering a new form of content and people are going crazy for it. That feels sort of really rewarding and fun.

Speaker 1

是的,我同意。我本来想开个玩笑,就是那些在Instagram或TikTok上不够火的人,你知道,就去Twitter了。是的。

Yeah. I I agree. I had a cheap joke that I was gonna throw in there, which is like, you know, people who are not hot enough for Instagram or TikTok, you know, go to Twitter. Yes.

Speaker 2

总之,没错。

Anyway Exactly.

Speaker 1

我认为这与创作者经济的东西密切相关。创作者经济,你知道,可能在五年前人们非常兴奋,然后有点衰落了。我不知道你是否同意或强烈反对,但也许这是创作者经济的回归。还有另一种方式来切分货币化的事情,稍微带上一点VC的思维,就是有创作者,我们讨论过他们。但还有那些创作者赋能平台。

I think this, you know, links very closely to with the creator economy stuff. Creator economy, you know, I think people were very excited maybe, like, five years ago, and then it kinda died ish. I don't know if you would agree or you would vehemently object, but, like, maybe this is, the return of the creator economy. There's another way to slice the monetization stuff, you know, just to put, like, VC head on a little bit, which is, like, there's the creators and, you know, they I think they're we talked about them. But then there's, like, sort of the creator enabler platforms.

Speaker 1

我们可以称之为CREA或comfy UI之类的。然后是直接的模型层本身。我认为现在,尤其是VO直接提供一个平台,钱会流向模型层,除非它是一个开放模型,那样钱就会流向模型赋能者——模型工作流平台。这样准确吗?

Let's let's call it, like, a CREA or a comfy UI or whoever. And then there's the direct model layer itself. And I think like right now, especially with VO just like directly offering a platform, like it's gonna be the model layer that's like gets all the money. Unless it's an open model where then it then it goes to the model enabler the model workflow platforms. Is that accurate?

Speaker 1

你会改变这种关于资金流动的心理模型吗?

Would you change that mental model of how money flows?

Speaker 2

我认为某种程度上是准确的。我同意区分界面层或应用层公司——那些不训练自己的基础模型,但让使用别人的模型变得非常容易的公司——和核心模型层本身,比如v o three或MiniMax或Cling等。有些模型提供商在构建消费者界面方面做得更好。比如Cling,一个非常好的中国图像转视频模型,有一个相当不错的界面,可以上传图像、制作视频、在他们的平台上添加音效等。

I would say it's somewhat accurate. I I agree with kind of the distinction between the we call it sort of like the interface layer or the application layer, companies that aren't training their own foundation models but are making it really easy to use other people's models. And then the, like, core model layer itself, like a v o three or like a MiniMax or like a Cling or all those or all those folks. Some of the model providers are better than others at building the consumer interfaces. So, like, Cling, for example, which is one of the really good Chinese image to video models, has, like, a pretty good interface to be able to upload an image, make it a video, add sound effects in their platform, that sort of thing.

Speaker 2

我认为v o three实际上是一个反例,很难在Google的所有产品中找到v o three。你必须注册一个叫Flow的独立产品,这需要订阅两个非常昂贵的Google计划之一。然后从那个订阅中,你必须确保在尝试访问订阅时登录到正确的Google账户,因为我们都有三个Gmail账户。所以,老实说,我们看到的是,很多创作者直接去了模型赋能层,无论是面向消费者的界面如Cria,还是面向开发者的界面如fall或replicate,你可以在按使用付费的模式下生成视频,因为这比试图在Google庞大的产品基础设施中导航更容易。而且你不需要承诺每月125美元的Google计划来使用模型。

I think, like, v o three is, in my mind, actually, like, a counterexample where it's super hard to figure out where to access v o three within all of the Google products. Like, you have to sign up for the separate product called Flow, which requires, like, a subscription to one one of two, like, very expensive Google plans. And then from that subscription like, you have to make sure you're logged in to the correct Google account when you try to access the subscription because we all have, like, three Gmail accounts. And so, honestly, what we see is, like, a ton of creators are just going to the model enablement layer, whether it's a consumer facing interface like Cria or more of a developer facing interface, like a fall or a replicate where you can generate, like, videos on a one off basis and, like, a pay as you go model because it's easier than trying to navigate, like, the behemoth that is the Google product infrastructure. And then you don't have to commit to the, like, a 125 a month Google plan to use the model.

Speaker 3

另一个关于Flow和VO的例子是,v o two实际上是默认的,你必须通过一堆隐藏的小按钮才能切换到v o three。所以有一些YouTube视频点击量数百万,就是关于如何在Google订阅中找到v o three。是的。它在移动设备上不能用,这很疯狂,因为很多这些视频都是在移动应用上发布的。是的。

Another example on on flow and VO, it's like v o two is actually the default, and you have to, like, navigate a bunch of, like, little hidden buttons to change it to v o three. So there's, like, YouTube videos with, like, millions of hits of just, like, how do I find v o three within, like, the Google subscription? Yes. You can't it doesn't work on mobile, which is crazy given so many of these videos are being posted on mobile apps. Like yeah.

Speaker 3

而且,也许谷歌会发布一款视频生成移动应用,但我猜这需要很长时间,而且他们的网站在移动端甚至无法正常使用。他们可能会修复其中一些问题,但即使在V3示例中,API已经可用了。我认为许多模型赋能公司正在从中赚取大量利润,谷歌肯定也从中赚得盆满钵满。

And and, like, maybe Google will release a video generation mobile app, but I would guess that it's gonna take a really long time and you the website isn't even usable on mobile. So they might fix some of these things, but I think even in the v o three example, it is API available already. And so, like, a lot of the model enablement companies, I think, are making a bunch of money from it. And Google, I'm sure, is making a ton of money from it too.

Speaker 1

是的。我在找你的市场图谱之一。看起来这些只是模型公司,不包括赋能类的。

Yeah. I was looking for one of your market maps. And it looks like these these are just model companies. They don't have the enablement ones.

Speaker 2

哦,多模态模型应用就是赋能类的。哦,好的。明白了。就在那里。

Oh, the multimodal model apps are the enablement ones. Oh, okay. Great. Right there.

Speaker 1

嗯。佩德罗有自己的模型。

Mhmm. Pedro had his own models.

Speaker 2

确实。所以他们在模型层属于会说话头像类别。他们的模型类似于会说话头像模型,同时还托管了大量图像和视频模型,让你能在他们的平台上生成其他内容。

They do. Yeah. So they're in the talking avatars category for the model layer. So their model is like a talking avatar model, and then they also host a bunch of the image and video models so that you can generate other stuff on their platform too.

Speaker 1

Flora最近完成了大额融资。Visual Electric这两个我听说过,但了解较少。

Flora raised a big round recently. Visual Electric, I have heard these two I've I've heard less of.

Speaker 2

对。甚至Adobe的动向——长期以来Adobe都坚持只用自家模型,号称他们的模型是'纯净的'

Yeah. And then even I mean, if you guys even follow the stuff Adobe's doing, like, forever, Adobe was like, we're only having our own models, and they're the the clean

Speaker 1

纯净模型。

The clean models.

Speaker 2

那些只使用授权数据训练的模型。后来他们发现根本没人用这些模型,无论是图像还是视频类的。现在Adobe Firefly居然托管了所有其他模型,这太疯狂了。

That are only the only trained on licensed data. And then I think they realized that, like, no one was using those models, either the image ones or the video ones. And so now Adobe Firefly hosts, like, all of the other models, which is crazy. Yeah.

Speaker 1

我们做了个AI工程现状调查,询问人们使用哪些模型。Adobe的表现出人意料地好。因为大家都在关注他们时,都觉得'哦他们很纯净,所以很无聊'。

We did a state of AI engineering survey and went and, we asked people what models they're using. And the and, Adobe did surprisingly well. Like, because, like, everything everyone everyone was paying attention, thinks about them as like, oh, they're clean, therefore boring.

Speaker 3

是啊。

Yeah.

Speaker 1

但实际上,他们他们出现了,就在这儿。

But actually, they they showed up, like, here.

Speaker 2

有意思。

Interesting.

Speaker 1

奇怪。他们居然,比如,正在超越Ideocraft和Recraft。可能是因为这是Adobe的产品吧。我也不清楚。

Weird. They're, like, they're beating Ideocraft and Recraft. Maybe because it's Adobe. I don't know.

Speaker 2

我觉得这也取决于情况,因为,好吧,仔细想想,确实有些功能我会用Adobe来完成。比如,我认为Photoshop里的生成填充,或者Firefly、Express里的功能,在图像修复和编辑方面真的非常非常好用。所以我可以说我仍然在使用Adobe的模型,但更多是用在图像修复上,而不是纯粹的生成。

I think it depends too because, like, okay. If I think about it, there are definitely things I use Adobe for. Like, for example, I think their generative fill within Photoshop or even within Firefly or Express is, like, really, really good for in painting and images. And so I would say I still use, like, an Adobe model, but I use it for in painting versus, like, pure generation.

Speaker 1

我觉得还有一点是关于工作流的深度。你对像Comfy UI这样的东西怎么看?它就像是《费城永远阳光灿烂》那种疯狂的东西,全是节点链接图。你需要它来实现复杂的工作流,但也许下一个模型就会彻底颠覆它。

I think there's another thing about, like, the depth of workflows. How do you feel about, like, something like a Comfy UI where it's, like, literally the, it's always sunny in Philadelphia, like crazy Yes. Link maps. Like, you need that to have complex workflows, but then also maybe, you know, the the next model will destroy it.

Speaker 2

我超爱那个梗图!而且我对Comfy社区充满敬意,因为他们真的在深耕细作。维护这样一个开源项目,所有节点相互依赖,运行着全球成千上万(甚至数百万)人免费使用却大声抱怨的小工具——这简直是在做神圣的工作。我从来不是深度Comfy UI用户,因为从我的动态全是无脑内容就能看出,我本质上是个纯消费者。我其实尽量避免深入技术细节,因为我想知道这些东西对普通人来说是否太难上手。

I love that meme. And I have so much respect for the Comfy community because, like, they have truly been in the trenches. Like, having an open source project like that where you have all of these interconnected nodes that are dependent on each other to run all of these mini apps that, like, thousands, probably millions of people around the world are using and not paying for but loudly complaining about is like that is like doing the Lord's work to maintain that. I have never been a deep Comfy UI user because I am at my heart, as you can probably tell by the fact that my feed is all brain rot, a a true consumer. Like, I I actually try not to get too deep in the technical stuff because I wanna technical stuff in terms of actually using the the products and, like, running the really complex local workflows because I wanna understand, like, is this too hard for an everyday person to do?

Speaker 2

我认为Comfy UI对需要高度控制的人来说非常棒。对于专业用户很完美,但如果只是想做个梗图或有趣视频分享给朋友或Ins粉丝,可能就不需要它。我同意核心基础模型公司正在蚕食Comfy UI的很多用例,但像VO3连图生视频都不支持,它们确实还缺乏这类平台能提供的控制级别。

I think Cubfi UI is really great for people who want a ton of control. And so for people who have more professional use cases, that's awesome. For people who just, like, wanna make a meme or, like, a fun video to share with their friends or with their Instagram audience, you probably don't need Comfy UI. I would agree that more of the Comfy UI use cases are starting to be eaten away by kind of the core foundation model companies. But especially with things like v o three not offering image to video, they're still definitely lacking a level of control that you can get from a platform like that.

Speaker 2

我要说Comfy UI在视频风格转换等方面依然无敌。想把写实视频转成动漫风格?这在VO3这类平台上目前还做不到。

And I would say Comfy UI is still awesome for a lot of things like video style transformation. People who wanna turn a a photorealistic video into an anime video or something like that. Like, that is not something you can do on a platform like v o three today.

Speaker 1

没错。风格转换、一致性维护、分辨率提升或修复手部问题——不知道现在还有人做这些吗。

Yeah. Style transformation, consistency, and an upscaling or fixing hands. I don't know if that's a that's a thing that people still do.

Speaker 2

或者,比如角色互换。我不知道你们是否关注Twitter上的AI Warper,但他用很多开源工具和类似Comfy UI的界面做了些超酷的东西——至少对我来说,他很多作品都像是,这就是如果我更擅长操作这些界面的话所能达到的前沿水平。但对普通人来说,这根本不可能。

Or, like, character swapping. I don't know if you guys follow AI Warper on Twitter, but he does some really cool stuff with a lot of the open source tools and sort of interfaces like Comfy UI and kinda shows, like, this is to me, at least, lot of his stuff is, like, this is the forefront of what what I could do if I was, like, better at navigating these interfaces. But, like, the average person, there's just no way.

Speaker 1

所以我想我们这次讨论的部分内容就是,如何把我们当作案例来使用。你们对我们还算熟悉吧?如果我们要创建一个完全由这类内容驱动的教育频道或子品牌,比如叫latent space之类的,我们该从哪里入手?

So I I guess, like, part of this discussion we wanted to have also was just, like, how we might put you know, just, like, use us as a case study. I think you're relatively familiar with us. If we were to start, like, a latent space, like, sort of somewhat educational channel or sub brand that was, like, entirely driven by by these things. Like, where do we start?

Speaker 2

好的。你们看过brainwrought的教育视频吗?就是那种...让我找找看。稍等。

Okay. Have you guys seen the brainwrought education videos? Like, the I had, like, a let me try to bring it up. Okay.

Speaker 1

我完全没...

I very out of

Speaker 3

现在万物皆可brainwrought了。

Everything is brainwrought now.

Speaker 1

呃,我觉得这大概是我这辈子最落伍的时刻了,因为我根本不知道。就像...我显然不刷TikTok和Instagram,但...

Well, I mean, like, this is the most uncool I've ever felt, because I I didn't know. Just like like, I I clearly don't scroll TikTok and Instagram, but like

Speaker 3

要获得这种关于brain rot的资讯,你得付出很高的代价。

You have to pay a really high price to be this informed about brain rot.

Speaker 2

我觉得这对你们来说是个有趣的起点。听我说完,我知道这看起来很疯狂。我在Instagram上发现这类频道,比如有个叫unlock learning的,他们那些AI名人访谈教学视频能稳定获得数百万观看。

I think this is an interesting place for you guys to start. Hear me out. I know this looks crazy. So I found these, like, channels on Instagram. I think this one is called unlock learning that we're getting, like, mill consistently millions of views on these sorts of, like, AI celebrity interviews, teaching education.

Speaker 2

基本上他们的操作是这样的...有点尴尬你们能看到我给自己推特点赞,但继续吧。他们用深度伪造工具——不确定是Yapper还是别的——把名人照片做成口型同步脚本内容,然后在顶部叠加展示原理的图表。

And so, basically, what they this is embarrassing. You can see that I like my own tweets, but we're gonna we're gonna keep moving. You can see that they use, like, a deepfake tool. Like, I I don't know if they use Yapper or if they use something else to, like, take an image of a celebrity and have them sort of say the the words in their voice of the script. And then they overlay it with some sort of diagram at the top that's actually showing what's going on.

Speaker 2

你们可以直接生成脚本。我的建议是:把YouTube视频链接或播客文字稿输入Gemini 2.5(我最近刚帮别人视频这么做过),要求生成符合Brain Rock风格的娱乐片段来总结你们内容的某个主题。

You could probably just generate a script. Maybe what I would do is you would take links to, like, YouTube videos or transcripts of the podcast. You could put them in Gemini 2.5. I actually did this recently for someone else's videos. You could ask for an entertaining Brain Rock style clip summarizing x y z topic based on your content.

Speaker 2

然后,你可以随便摆弄它,稍微编辑一下,等到完美为止。接着你得决定,你们是要用大脑摇滚角色,还是利用名人效应的大脑摇滚角色来借助熟悉感——这个我们之前讨论过。我觉得各有利弊。比如对你们的观众来说,如果你们想在Instagram和TikTok上走红、吸引新粉丝,可能他们更愿意看到你们本人出镜。像Sydney Sweeney这样的面孔或许很适合。

Then, you you know, play around with it, edit it a little bit, wait until it's perfect. Then you have to decide, are you guys the brain rock characters, or are you going to use a celebrity brain rock character to tap into the familiarity, which we discussed earlier? Which I think, like, pros and cons. Like, I think maybe for your audience, they would like seeing you guys better if you wanna go viral on, like, Instagram and TikTok and reach new people. Like, maybe Sydney Sweeney is a good face for it.

Speaker 2

不知道。就是...就是给你们提供个思路。

I don't know. Just just just something to think about.

Speaker 1

我们有个AI主持人。其实我们一直用Eleven Labs的语音服务,有个叫Charlie的声线。

We have an AI host. Actually, we've we've used, an eleven Labs voice called Charlie for a while.

Speaker 2

好的,太棒了。

Okay. Incredible.

Speaker 1

我们可以给他配个身体,你知道的。目前还只是个声音。

And we could we could give him a a body, you know. Right now, it's just a voice.

Speaker 2

明白。那你们可以在Hydra上做动画。拿到音频片段后,配上图像就能让他开口说话。

Okay. So you could animate on on Hydra then. You could take the audio clip. You could take the image. You can make him talking.

Speaker 2

最让我感兴趣的是开场的部分。就像刚才展示图表那样。传统上人们还是自己拼接这些素材,比如我展示的Sydney Sweeney那个例子。

And then the the really interesting part to me is, like, what plays at the top. Right? Like, where it was showing the diagrams. Historically, I think people still put that stuff together themselves. Like, the one I was just showing of Sydney Sweeney.

Speaker 2

其实那些视频是家教育公司制作的。

It's actually an education company who makes those videos.

Speaker 1

对,我刚找到他们网站。

So Yeah. I just found their website.

Speaker 2

这样他们就能复用现有内容了。是啊,这简直是在制造脑损伤。

And so they can reuse content they've already made. Yeah. It's giving brain rot.

Speaker 1

全职。

Full time.

Speaker 2

我知道。但是,比如人们都在用,所以对。然后问题是,你们想在顶部制作图表吗?或者如果你搜索AI B卷生成器,现在有各种工具可以基本上获取你的脚本或音轨,提取关键词,然后要么在网上搜索为你收集B卷和图片,要么它们会生成全新的图像或视频,这可能是一种有趣的整合方式。

I know. But, like, people are and so the yeah. Then the question is, like, do you guys wanna make the diagrams at the top? Or there's also if you search, like, AI b roll generator now, there's a variety of tools that will basically take your script or your audio track and sort of extract the keywords and then either search the Internet to pull together B roll and images for you, or they will sort of generate net new images or videos, which is which could potentially be be an interesting way to pull it together.

Speaker 3

我想说,我们另一个建议是,要让你们的AI视频内容走红,现在有整个生态系统。你可能见过他们的内容,但有些人被称为剪辑师,他们只是拿现有的长视频,比如播客采访甚至电视节目,提取最有趣和最具病毒性的片段,然后发布在他们自己的平台上,比如一秒钟的视频。现在有像Overlap这样的产品,如果你上传一个新的YouTube视频到你的频道,你可以将你的频道链接到Overlap,它会自动审核,剪辑出最好的片段,然后为你发布这些片段到Twitter或Instagram等其他平台。

I would say the other recommendation that we would have for you guys to go viral with AI video stuff is there's this whole ecosystem. You've probably seen their content, but there are people called clippers that just take existing long form videos like podcast interviews or even TV shows and extract the most interesting and viral clips and then post them on their own platforms as, like, one second videos. And there's products like overlap right now where if you upload, say, a new YouTube video to your channel, you can link your channel to Overlap, and it'll automatically review it, clip the best ones, and then publish those clips for you across, like, Twitter or Instagram or other products.

Speaker 2

你们能看到吗?它还能预测病毒性分数,我觉得这太疯狂了。所以这个一直在运行。它链接到a16z的YouTube。

Can you guys see it? And it predicts the virality score, which I find is crazy. So this runs all the time. It's linked to the a 16 z YouTube.

Speaker 1

哦,你们只是在自己的频道上用它。天啊。

Oh, you guys are just using it for your channel. Holy crap.

Speaker 2

我是说,我在用。比如,这个。你可以进入视频,看看他们选了哪些片段,然后你可以进去编辑。你可以说,嘿,我想去掉这个词的字幕,或者我想完全从视频中剪掉这个词。

I mean, I I am. Like, for example, okay, this one. Like, you can go into the video and then you can see what they picked and then you can go in and edit. And so you can say like, hey. I wanna remove the caption on this word or I wanna cut this word from the video completely.

Speaker 2

或者,比如,我想延长片段,让它开始得更长或更短。我想去掉脏话。我想去掉填充词。我想去掉口吃。我想改字幕,让它们看起来更脑残,诸如此类。

Or, like, I wanna extend the clip and make it start longer or shorter. Like, I want to remove curse words. I want to remove filler words. I wanna remove stutter. I want to change the subtitles so that they're, like, look more brain rot, like that sort of thing.

Speaker 2

然后你可以生成社交帖子并下载。

And then you can generate the social posts and download.

Speaker 3

你可以在Overlap上设置,这样它会在你发布长视频后自动发布短视频片段,它会为你写推文或TikTok标题。是的,非常酷。

And you can set this up on overlap so that it'll automatically publish the short form clips as soon as you publish the long form video, and it'll, like, write the tweets for you or write the TikTok caption for you Yeah. Which is very cool.

Speaker 1

这正是我一直在找的。我只是不知道它存在。太疯狂了。

This is exactly what I've been looking for. I I just didn't know it existed. It's crazy.

Speaker 3

没错。这样你们就能成为自己的粉丝剪辑师,通过长节目本身和短病毒式剪辑来赚钱。

Yeah. We So you guys can become your own, your own fanboy clippers and make money off of yeah. The the long form show itself and the short form viral clips.

Speaker 2

对。有各种剪辑工具,界面是那种舒适的用户界面类型,很酷。基本上这就是剪辑工具的样子,它会监控所有上传到a16z频道的新YouTube视频。

Yeah. So there's all sorts of clipping agents where so it's actually a comfy UI type interface Oh. Which is really cool. So this is basically this is what it looks the clipping agent looks like. It is watching for any new YouTube video that is uploaded to the a 16 z channel.

Speaker 2

它会自动找出时长在30秒到140秒之间的有趣片段,标准是那些对科技观众有吸引力的话题,还会自动添加字幕。你可以进一步操作,比如将所有16:9的片段转换成9:16,或者添加智能缩放,在人物做有趣事情时自动放大脸部。

It is automatically finding interesting clips that are between thirty seconds and a hundred forty seconds in length. And the criteria is, like, topics that would be interesting to, like, the tech audience, it is adding subtitles. You can then add more actions. For example, you can say, convert it, take all of the 16 by nine clips, and convert them to nine by 16. Or add smart zoom so it zooms in on the person's face when they're doing something interesting.

Speaker 2

这不是我们投资的公司,只是最近发现的,我们觉得这就是理想中的工具。

This is not a company we're invested in. We just, like, recently discovered it, and we were like, this is the dream.

Speaker 1

确实是理想工具。

It is the dream.

Speaker 0

是的。我们建了个小型播客自动化工具,能自动选片段但不会做其他处理。真正的难点在于如何从选取时间戳到让视频在YouTube上获得大量观看。我们会试试看的。

Yeah. We have I built a small podcaster thing for us that automates a lot of things, and it picks the clips but doesn't do any. The red the the hard part is actually how do you go from picking the time stamps to actually making it get a lot of views on on YouTube. So we'll we'll try it out.

Speaker 1

我觉得选片段是门艺术,可能它们是为‘脑残’内容优化的。但我们是技术播客,选的片段肯定不一样。

You know, the I I think I think it's an art in picking the the the clips because I think that, you know, maybe they're optimized for BrainRot and Mhmm. We're a technical podcast, like, they wouldn't pick the same clips that we would pick.

Speaker 2

有趣的是,如果你们想跨平台,可以设置不同代理生成针对不同受众的片段。比如用教育性技术内容面向YouTube,再实验用‘脑残’搞笑争议内容面向年轻人,转成TikTok比例发布,看看TikTok账号会怎样。

So this is the interesting thing too. It's like, if you guys wanna be across multiple platforms, maybe you have an agent set up that purposely generates different clips for different audiences. Like, maybe you have it clip, like, educational, informative, like, technical stuff for YouTube, and then you you experiment with, what if we gave it a prompt to pick, like, brain rot, funny, controversial stuff for, like, young people and then turn it into a TikTok, the TikTok aspect ratio, and then post those. Like, what would happen to a TikTok account?

Speaker 1

对,值得多实验。我的假设是改编内容通常不如原生内容表现好。

Yeah. Yeah. I I think it's worth experimenting with with a bunch of those. Yeah. My my hypothesis is that usually sort of repurposed content doesn't do as well as native content.

Speaker 1

这是普遍规律。换句话说,我们录的是长播客,剪出来可能有点用,但永远不会大爆,因为它本就不是为短视频设计的。其实我们私下探索过,如果改变录制方式专门优化片段会怎样。

That's the general rule, which in other words, like we recorded this as a long form podcast. If you clip it out, sure. Like, you know, you might get a little more juice out of it, but it's never going to go great because it's never made to, for the short form. Like we've actually, you know, so little behind the scenes, we've actually explored, like, what if we change the way we record podcasts and we only optimize for clips?

Speaker 2

好吧。但我曾经也同意你的观点,不过你看过Vitruppo账号的内容吗?

Okay. But have you so I used to agree with you, but have you seen the Vitruppo account?

Speaker 1

嗯,那个人确实很高产,但我不太明白你具体指什么。

Yeah. That that that guy's pretty prolific, but I don't know what you're referring to.

Speaker 2

就是他剪辑的长篇访谈片段经常爆红。我以前也以为片段不会火,但现在尤其在X算法里,感觉进入了剪辑时代。不知为何,视频在算法里表现特别好——特别是当内容涉及知名人物,比如Sam Altman、Gary Tan这些人时,这些片段能带来巨大流量。

So just the his he has clips that go viral all like, he clips long form interviews, and they go viral all the time. Like, I also used to think that clips would never do well, but I feel like, especially in the x algorithm right now, it's like a clipping era. Everyone for some reason, video is, like, doing super well in the algorithm. And especially if you're it's a video of, like, a character that people know, which is, like, Sam Altman or, like, Gary Tan or, like, whoever, you can get in a crazy amount of juice out of these clips.

Speaker 1

我觉得部分原因还在于,作为品牌方——我们真的在考虑这么做对吧?所以必须全面考量。作为品牌,我们得某种程度上抵制标题党。

I think part of it is also we, as a brand like, this is seriously, like, we're we're considering doing this. Right? So we have to think through everything. We as a brand have to resist clickbait somewhat. Right?

Speaker 2

没错。

Yes.

Speaker 1

懂我意思吗?我们不能总说类似'Sam Altman预言世界两年内毁灭'这种话。不,他根本没说过,但你可以断章取义曲解他的话。

You know? We can't just keep saying, like, Sam Altman says the world's gonna end in two years. And, like, no. Yeah. He didn't say that, but, like, you could misconstrue something he said to say that.

Speaker 1

明白吧?

You know?

Speaker 2

我们正面临这种矛盾——昨晚我和Olivia还为此争论。我们经常友好地争论各种事,就像双胞胎那样你一言我一语。有时会帮对方润色推文,但她给我写了个开头,读起来就像那些垃圾AI爆款账号。

We have this struggle with which is and Olivia and I were fighting about this last night. We fight in a good natured way about a lot of things. It's not really it's just like we're twins. Like, we, like, you know, have back and forth about things, but we will help each other write tweets sometimes. And she wrote a tweet intro to me that just, like, sounded like one of those spammy, like, AI is blowing up.

Speaker 2

那种'天翻地覆'的夸张风格。我不得不提醒她:Olivia,这不是我们的调性,我们要保持自己的路线。

Like, everything has changed accounts. And I had to be like, Olivia, this is not us. Like, we need to, like, stay on the course.

Speaker 3

现在内容生态就是YouTube缩略图经济了,确实如此。

It's the YouTube thumbnail economy now, yeah, for content.

Speaker 1

对,对。我是说,我们可以创建一个子品牌,像是附属但不完全属于我们,可以随便挂个名上去。我觉得,有些人真的就最适合这样——他们缺乏所谓的认知安全感,或者说他们没有那种骄傲或品味之类的。

Right. Right. I mean, but, like, you know, we could create a sub brand that is, like, affiliated but not us that, like, we could just kinda throw throw that on there. And I think, like, look, like, there are some people who are just literally their best served like They don't have the cog sec is what, is what I call it. Or like, they don't have the pride or taste or whatever.

Speaker 1

对吧?随你怎么称呼。但如果你想让你内容传播给最多人,就得适应他们接收信息的方式,不管他们自己是否意识到这一点。

Right? Whatever you call yourself. But like, if you wanted your content to spread to the widest known people, you have to sort of adapt it to the way that they like to receive information whether or not they know it. It it, like

Speaker 2

我觉得观察不同年龄段的人会很有趣,至少据我观察,像完全在互联网时代、智能手机时代长大的Alpha世代(Gen Alpha)孩子,他们消费和创作内容的方式与Z世代和千禧一代截然不同。我希望这并不意味着所有内容都必须降智才能让人理解。我真心希望仍保留那些长篇深度思考的空间。

I think it's gonna be really interesting too to see different ages of people because at least from what I've seen, the like, already the kids, like, Gen Alpha, the kids who, like, grew up fully in the Internet era, fully in the smartphone era, consume content and create content much differently than, like, Gen Z and millennials. And I hope that doesn't mean that everything has to be brainwrought for people to understand it. Like, I really want there to still be space for, like, these long form intellectual deep dives. It's like

Speaker 3

一个

a

Speaker 2

习惯性写博客的人,但我对此有点害怕。

habitual blog post writer, but I'm, like, a little bit scared of that.

Speaker 1

不,我认为优质长文和深度讨论永远有存在价值。有时候那些内容能病毒式传播反而带着讽刺的幽默感——比如你根本从那些所谓教育类频道学不到什么,只是觉得‘哇现在居然能这样了’很好笑。

No. I think I think there's always room for, like, long form, good writing, good good discussions. I almost think, like, sometimes it's just ironic and funny that that's why it's viral. Like, peep you're not even, like, actually learning anything from those, like, educational Sydney Sydney Sydney channels. You're just like, oh, it's funny that you can do this now.

Speaker 1

这就是人类文明的现状。

Like, this is what humanity has come to.

Speaker 2

是的。

Yes.

Speaker 1

其他创意趋势方面还有什么?我们聊了很多视频相关...哦我刚想提提示理论(prompt theory),可能这是个不错的话题,不知道对你们来说会不会太玄学或哲学,不过既然你提到了...

Anything else in terms of like creative trends? Like we don't we've talked a lot about video. Oh, I was going to bring up prompt theory. Maybe this is, like, a nice thing to talk about. I don't know if it's too woo woo or philosophical for you, but you brought it up.

Speaker 1

你能解释下什么是提示理论吗?

So could you explain what prompt theory is?

Speaker 2

好的。所以这某种程度上是逐渐演变的。最初,当人们意识到他们可以让这些VO3角色在视频中说话时,就开始出现这样的想法:如果这些角色要么意识到自己是AI生成的,要么拒绝接受自己是由提示词控制的AI生成物会怎样?这有点像

Okay. So it sort of evolved. So at first, it started with people when people realized they can make these v o three characters talk in videos, it started with, like, what if these characters either realized they were AI generated or refused to accept that they were AI generated and controlled by a prompt? It's kind

Speaker 3

AI角色的存在主义危机。角色们。没错。就像去年九月那个疯传的Notebook LM视频。是的。他们意识到自己可能会被关闭,而且并非真实存在。

of like an existential crisis for AI characters. Characters. Yes. Like that video that went viral, the Notebook LM, hosts back last September Yes. Realizing that, like, they could be shut down, and they weren't real.

Speaker 3

他试图给妻子打电话,然后意识到自己根本没有妻子,只是个AI生成的声音。哦不。VO3角色的情况类似,但更震撼因为他们看起来太真实了。

And he tried to call his wife, and then he realized he doesn't actually have a wife, and he's just an AI generated voice. Oh, no. It's kind of like that, but for v o three characters. And it's a lot more striking because they look so real.

Speaker 2

然后是最近提示理论的演变,我记得我发过相关视频推文——不知道现在能不能找到或发给你们?现在人们开始想:如果我们才是被提示的呢?如果真实人类才是别人宇宙里的AI角色呢?我们会知道吗?

And then the evolution of prompt theory more recently, and I think I tweeted a video about this that I can I don't know if I can pull it up or send it to you guys? But now people are like, okay. What if we're actually prompted? Like, what if real humans like, what if we are the AI characters in someone else's universe? Like, would we know it?

Speaker 2

而且,我们是否都被提示词控制着?现在TikTok上VO3的大趋势是AI互怼视频。常见形式是年轻人和老年人对话,年轻人说'我发型超赞',老人就怼'那不是真头发'。后来演变成'你的好发型只是提示词设定的,你自己什么都没做'

And, like, are we all controlled by prompts? Like, one of the big trends for v o three on TikTok right now is AI clapbacks. So it's often like the format is like a young person and an old person, and, like, the young person is like, oh, like, my hair looks amazing. And the old person is like, that's not natural hair, whatever. But it started evolving to, like, well, you know your hair is just prompted.

Speaker 2

然后年轻人会回怼'你都快进坟墓了'。很快就演变成...彻底混乱的局面。

You didn't do anything to get that good hair. And then, like, the young person will be like, well, like, you're on your way to the cemetery. Like, it quickly devolves. It quickly devolves into, like, chaos.

Speaker 1

这些情境里的人是真的吗?

People in this in this situation real?

Speaker 2

不,都是生成的。

No. They're both generated.

Speaker 1

哦,好吧。

Oh, okay. K.

Speaker 2

对。但现在你能看到各种'脑残'账号,比如中西部用动漫头像的青少年——你根本想不到他们会思考AI元层面和提示理论——居然把这些概念融入了AI互怼视频。这个现象已经变得非常广泛。我经常思考这个,因为像Reddit这样的平台早就存在这种无上下文交流的场景。

Yes. Yes. But it's like you're you're seeing all of these, like, brain rot accounts of, like, teenagers with anime profile pictures who live in the Midwest who you would, like, never expect to be thinking about, like, the meta layer of AI and prompt theory are including the concept of prompt theory in their, like, AI clapback videos. So it it's really gotten kind of very, very broad. So I think about that a ton because sites like Reddit have existed like that for a while where you actually you have no context on the other person.

Speaker 2

就像,这是个匿名用户名。在Reddit上几乎没人会被人肉搜索。所以在Reddit上,感觉每个人都可能是机器人,而且现在大型语言模型(LLM)越来越擅长自然表达,假装有各种兴趣爱好,假装过着有故事的生活,你能分辨出来吗?我花了很多时间思考,如果我在Reddit上其实是在和一堆LLM聊天,或者只是有一群随时愿意讨论我兴趣、能说出有趣观点的人,这会不会其实挺可悲的?或者说,这反而是世界美好的一面?

Like, it's an anonymous username. Almost no one is, like, doxxed on Reddit. And so on Reddit, it's like everyone could be bots and, like, would you know now that LLMs are, like, getting so good at sounding natural and, like, pretending like they have interests and, like, pretending like they have lives in which things are going on? I spend so much time thinking, like, would it actually be sad if I was talking with a ton of LLMs on Reddit or if there was just a ton of people who are always available to talk about my interests, who had interesting things to say. Like, is that the good side of the world?

Speaker 2

就是,我也不知道。

Like, I don't know.

Speaker 1

创立了自己的冻酸奶品牌对吧?

Made your own Froyo brand. Right?

Speaker 2

对。

Yes.

Speaker 1

这只是个头脑风暴而已。

It's just just a brainstorm.

Speaker 2

用ChatGPT来生成提示词。对,提示词。

ChatGPT for prompting. Yeah. Prompting.

Speaker 1

没错。你可以设定角色,创造艺术家形象。

Yeah. You can pose it. You can create artist.

Speaker 3

我正想说就是这个。或者Breadclimb。对,Breadclimb也是另一个很棒的例子。

I was gonna say it's exactly that. Or breadclimb. Yes. Breadclimb is another great one.

Speaker 2

你们有关注Breadclimb吗?

Have you guys followed Breadclimb?

Speaker 1

没有,那是什么?

No. What is that?

Speaker 2

所以Breadclimb,没错,是早期的AI产物,后来他们开始制作关于他的视频之类的内容。他变得超级受欢迎。我发过一条Breadclimb早期AI视频的推文,大家都很喜欢。好了,这就是Brett Klimb。

So Breadclimb, yeah, was early AI, then they started creating videos and stuff like that of him. He got super popular. I tweeted one of the early AI videos of Breadclimb and people loved it. Alright. Here is Brett Klimb.

Speaker 1

哇,是只负鼠。

Aw. It's a possum.

Speaker 2

他非常可爱,还有一整个与他互动的角色宇宙。让我看看能不能找到

He's very cute and he has this whole universe of characters that he interacts with. Let me see if I can find

Speaker 1

那不是Yen MacKellen吗?

Isn't that Yen MacKellen?

Speaker 2

不过是AI版的。对。很多人喜欢这个,然后一堆人开始留言说想要Breadclimb的卫衣,我真的做了Breadclimb卫衣。于是我们拿了个Breadclimb的设计,去掉了背景。

But the AI version. Yeah. So a lot of people liked this, and then, like, a bunch of people started commenting and said that they wanted breadclimb sweatshirts that I actually made breadclimb sweatshirts. And so I we we, like, took a breadclimb design. We, like, removed the background.

Speaker 2

我们把它叠加在一件卫衣上,找了家丝网印刷公司制作。大概订了30件,分发给朋友家人和AI视频社区的其他人。但Breadclimb卫衣本可以成为一个真正的卫衣品牌。

We, like, overlaid it on a sweatshirt that we'd, like, a screen printing company do. And then we probably ordered, like, 30 of them, and we distributed them to, like, friends and family and other people in, like, the AI video community. But, like, the breadclimb sweatshirts could have been, like, a real sweatshirt brand.

Speaker 1

天啊。

Oh my god.

Speaker 2

看那儿。等等,Olivia能放大吗?对,那是我们,那是我们消费团队的小众成员穿着Breadclimb卫衣。

There they are. Wait. Can you zoom in on them, Olivia? Yeah. So that's us, and that's a niche on our consumer team wearing our breadclimb sweatshirt.

Speaker 2

AI家具你们见过吗?尤其在Facebook上特别火。比如沙发做成巨型猫的形状,坐上去时眼睛会发光之类的。这些AI家具和家居设计账号非常庞大。我后来还看到有人把大猩猩椅子设计真的生产出来可以购买。

Well, the AI, like, furniture, I don't know if you guys have seen, especially on Facebook, actually, AI furniture, like, totally blows up. So, like, it's a lot like, it's a couch, but it's, like, shaped like a giant cat And, like, the eyes glow when you, like, sit on it or things like that. Like Okay. These accounts, the AI furniture and the AI home design accounts are huge. And I actually saw I'll try to see if I can find it later, but I actually saw one example of someone made this, like, gorilla chair basically that then actually got, like, manufactured, and you can buy it.

Speaker 3

不同平台爆火的内容类型和创作者差异很大。我最大的建议就是在YouTube、Instagram、TikTok、X上都建个账号,观察各平台的热门内容,多关注些AI账号,算法会推荐更多。现在有种内容套利现象——某个内容在一个平台爆红后,有一两天时间窗口让你成为下一个平台的发布者。观察什么内容在哪儿爆火很有意思,这反映了各平台的用户群体差异,非常值得研究。

There's a lot of differences between platforms of the type of content that's going viral and the types of people that are making them. So my biggest piece of advice is actually just to, like, yeah, set up a separate account on YouTube, on Instagram, on TikTok, on X, and kind of take a look at what people are posting there and just follow a bunch of AI accounts, and then the feed will give you more. There's almost this, like, content arbitrage thing that happens right now where something will go viral on one platform, and then there's, like, a one or two day window to be, like, the person to post it on the next platform. But it's kind of fascinating to watch, like, what blows up where, which I think is reflective on, like, who's spending their time on which platforms. It's just amazing to watch.

Speaker 3

就像TikTok上的AI ASMR内容曾经非常火爆,然后慢慢传播到其他平台。我觉得动物潜水视频在Threads和所有Facebook产品上首先火起来,可能是因为那些平台的用户年龄层,然后才逐渐扩散到其他地方。Jasheen,你怎么看?

Like, the AI ASMR stuff on TikTok was huge and then kind of slowly made its way elsewhere. I think the animals diving was huge on on threads and all the Facebook products first because of the maybe age demo of those users and then slowly made their way to, like, exit other places. Jasheen, what do you think?

Speaker 2

我觉得如果你想减少那些无脑内容,少一些刚接触AI的新手,更多了解专业人士如何使用AI视频。Twitter上有个叫PJ Ace的人,他制作了NBA总决赛期间播出的病毒式传播的Call She广告。他做过很多很酷的商业作品,无论是为独立音乐人还是品牌。他展示了真正的专业人士如何用AI创作内容,而且他还分享工作流程,这很棒。

I think if you want less of the brain rot, less of the brand new people to this and more, like, how are people professionally using AI video. There's this guy called PJ Ace on Twitter who he had, like, the viral Call She ad that aired during the NBA finals. He's done, like, a bunch of really cool, more commercial work, whether it's for individual musicians or brands. And he shows, like, how how would a true professional use AI to make stuff. And he also chooses workflows, which is great.

Speaker 1

真正的专业作品。

True professional stuff.

Speaker 2

没错。他确实有几十年的影视制作经验。我记得在此之前他制作过自己的电视节目,不是用AI。他清楚自己在做什么。

Yes. Yeah. He's a real he has, like, decades of experience in the kind of film production. I think he made his own TV show before this, not in AI. Like, he knows what he knows what he's doing.

Speaker 0

在我看来,最关键的问题是人们是否会因为能生产的卫衣数量有限而影响赚钱?感觉制作内容和获取观众比真正做出好的周边商品容易多了。所以我很好奇会不会出现类似OverClip的工具,能根据最新视频自动生成周边,比如带有台词和画面的商品。

To me, the the the biggest thing in my mind is, are people gonna be bottlenecked by how many sweatshirts they can produce basically to make money? It feels like it's much easier to make the the content and get the audience than actually get a good good merch. So I'm curious to see if we get the OverClip thing that generates the clip. You have something that just generates merch based on latest videos with, like, quotes and, like, images of it. Yeah.

Speaker 0

我很想看看这个方向会怎么发展。

I'm curious to see where where that goes.

Speaker 2

那会非常酷。我其实很喜欢这个想法,真该有人去做。

That would be so cool. I love that, actually. Someone should totally do that.

Speaker 0

是啊,这是个创业机会。如果有人正在听,请帮我们实现它吧。

Yeah. Request for a startup. Yeah. So if anybody's listening, please go build it for us. Yeah.

Speaker 0

谢谢大家的时间,这次讨论很棒,我们会继续在社交媒体上密切关注Brain Rod的动态。

Thanks for for your time. This was great, and we'll keep following the Brain Rod closely on social medias.

Speaker 3

我们也是。感谢邀请我们。

We will too. And thanks for having us.

Speaker 2

我们期待看到你们创作的内容。

And we're looking forward to seeing what content you guys make.

Speaker 1

谢谢大家。好的。谢谢各位。

Thank you all. Alright. Thanks, guys.

Speaker 2

太棒了。谢谢各位。

Awesome. Thanks, guys.

关于 Bayt 播客

Bayt 提供中文+原文双语音频和字幕,帮助你打破语言障碍,轻松听懂全球优质播客。

继续浏览更多播客