OpenAI shocks the world yet again… Sora first look

Fireship
16 Feb 202404:21

Summary

TLDR近日,OpenAI发布了名为Sora的先进AI视频模型,引发了广泛的关注和讨论。Sora能够基于文本提示生成长达一分钟的逼真视频,其画面质量和帧间连贯性大大超出了之前的模型。此外,Sora还能处理不同的宽高比,提供更为灵活的创作可能。虽然Sora的技术细节仍有待揭晓,但其强大的性能已经令人瞩目,同时也引发了关于AI发展对人类工作和创作的影响的深刻思考。本视频深入探讨了Sora的工作原理、潜在应用及其对未来的意义。

Takeaways

  • 🤖 Open AI发布了一种创新的视频生成模型Sora,它能够根据文本提示制作长达一分钟的逼真视频。
  • 🚀 Sora模型标志着人工智能领域的一次巨大飞跃,能够生成连贯的视频帧,超越了之前的任何AI视频模型。
  • 🌐 与同日发布的Google Gemini 1.5相比,Sora由于其视频生成能力而迅速成为焦点,后者是一个具有高达1000万token上下文窗口的语言模型。
  • 📱 Sora的视频可以根据文本提示或从一张起始图片生成,展示了高度的逼真度和多样的宽高比渲染能力。
  • 🔍 尽管初步担心Open AI可能挑选了示例,但Sam Altman通过Twitter实时响应请求,证明了Sora的广泛应用能力。
  • 🛡️ 由于潜在的滥用风险,Sora模型不太可能向公众开放,其生成的视频将包含C2P元数据以跟踪内容来源和修改历史。
  • 💡 Sora利用了大规模的计算能力和一个类似于大型语言模型的处理方法,通过对视觉块进行编码来理解和生成视频内容。
  • 🎞️ 视频生成面临的挑战包括庞大的数据点处理需求和时间维度的复杂性,Sora通过创新的技术克服了这些障碍。
  • 🌍 Sora的技术可能会彻底改变视频编辑和内容创建领域,使得复杂的视频制作变得更加简单和快捷。
  • 🎨 尽管Sora生成的视频在细节上可能仍存在缺陷,但它预示着AI在模拟物理和人类互动方面未来可能的进步。

Q & A

  • OpenAI最近发布了什么样的AI新技术?

    -OpenAI最近发布了一种名为Sora的文本到视频模型,这是一种能够生成长达一分钟的、现实感极强的视频的人工智能技术。

  • Sora的名字来源是什么?

    -Sora这个名字来源于日语中的“空”,意味着天空。

  • Sora与之前的AI视频模型有什么不同?

    -Sora在视频的真实感、时长(可达一分钟)、帧间的连贯性以及不同宽高比的视频渲染方面,超越了之前的模型,如稳定视频扩散(Stable Video Diffusion)和私有产品Pika。

  • Sora如何生成视频?

    -Sora可以通过文本提示来创建视频,描述你想看到的场景,或者从一个起始图像出发,将其转化为生动的视频。

  • 为什么说Sora模型可能不会向公众开源?

    -鉴于Sora模型的强大能力,若落入不当之手,可能会被用于不良用途。因此,虽然其视频会包含C2P元数据以追踪内容来源和修改方式,但它很可能不会被公开源代码。

  • Sora是基于什么样的技术工作的?

    -Sora是一个扩散模型,类似于DALL·E和稳定扩散(Stable Diffusion),它从随机噪声开始,逐步更新这些噪声以形成连贯的图像。

  • Sora如何处理视频数据?

    -Sora采用了类似于大型语言模型处理文本的方法,通过对视频中的视觉块进行编码,这些视觉块既捕获了它们的视觉信息,也捕获了它们随时间或帧变化的方式。

  • Sora的训练数据和输出有什么特点?

    -与典型的视频模型不同,Sora能够在其原生分辨率上训练数据,并输出可变的分辨率。

  • Sora技术将如何改变视频编辑和制作领域?

    -Sora技术将使得视频编辑变得更加简单和快捷,例如,改变一辆行驶中的车辆的背景,或者在数秒内创建一个全新的Minecraft世界,从而对视频制作和Minecraft流媒体等行业产生重大影响。

  • Sora的视频生成存在哪些局限性?

    -尽管Sora生成的视频印象深刻,但如果仔细观察,可以发现一些缺陷,如不完美的物理模型或人类互动模拟,这些都带有AI生成内容的独特外观。

Outlines

00:00

😲开放AI发布强大的文本转视频模型Sora

开放AI发布了最新的文本转视频模型Sora,它可以生成逼真的视频片段,时长长达一分钟。这个模型生成的视频质量非常高,可以维持画面之间的连贯性。它可能需要大量的GPU计算能力。Sora使用了类似大型语言模型的方法,将视觉数据分割成小块。这个技术可能会改变世界,在视频编辑领域带来革命。但是当前生成的视频仍然存在明显的缺陷,还需要进一步改进。

Mindmap

Keywords

💡文本到视频模型

这是一个可以将文本描述自动转换成视频的AI系统。它与视频有关的主题密切相关,因为它代表了AI在模拟和自动化视频内容创作方面的最新进步。文本到视频模型可以在几秒钟内根据文本描述生成长达一分钟的逼真视频,这可能会对许多视频内容创作者的工作产生影响。

Highlights

第一个重要的亮点文本

第二个显著的亮点文本

Transcripts

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yesterday open AI Unleashed their latest

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monstrosity on humanity and it's truly

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mind-blowing I hope you enjoy a good

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existential crisis because what you're

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about to see is one small step for man

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and one giant leap for artificial kind

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we all knew that better AI video models

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were coming but open AI Sora just took

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things beyond our wildest expectations

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it's the first AI to make realistic

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videos up to a minute long in today's

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video we'll look at what this text of

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video model can actually do figure out

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how it works under the hood and pour one

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out for all the humans that became

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obsolete this time it is February 16th

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2024 and you watching the code report

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when I woke up yesterday Google

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announced Gemini 1.5 with a context

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window up to 10 million tokens that was

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an incredible achievement that was also

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blowing people's minds but Sundar was

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quickly overshadowed by Sam ultman who

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just gave us a preview of his new friend

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Sora which comes from the Japanese word

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for Sky it's a textto video model and

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all the video clips you're seen in this

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video have been generated by Sora it's

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not the first AI video model we already

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have open models like stable video

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diffusion and private products like Pika

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but Sora blows everything out of the

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water not only are the images more

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realistic but they can be up to a minute

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long and maintain cohesion between

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frames they can also be rendered in

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different aspect ratios they can either

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be created from a text prompt where you

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describe what you want to see or from a

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starting image that gets brought to life

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now my initial thought was that open AI

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Cherry Picked all these examples but it

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appears that's not the case because Sam

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Alman was taking requests from the crowd

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on Twitter and returning examples within

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a few minutes like two golden retriever

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doing a podcast on top of a mountain not

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bad but this next one's really

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impressive a guy turning a nonprofit

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open source company into a profit-making

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closed Source company impressive very

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nice so now you might be wondering how

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you can get your hands on this thing

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well not so fast if a model this

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powerful was given to some random chud

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one can only imagine the horrors that it

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would be used for it would be nice if we

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could generate video for our AI

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influencers for additional tips but

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that's never going to happen it's highly

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unlikely this model will ever be open

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source and when they do release it

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videos will have c2p metadata which is

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basically a surveillance apparatus that

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keeps a record of where content came

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from and how it was modified in any case

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we do have some some details on how the

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model works it likely takes a massive

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amount of computing power and just a

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couple weeks ago Sam Altman asked the

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world for $7 trillion to buy a bunch of

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gpus yeah that's trillion with a t and

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even Jensen Wong made fun of that number

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because it should really only cost

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around $2 trillion to get that job done

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but maybe Jensen is Wong it's going to

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take a lot of gpus for video models to

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scale let's find out how they work Sora

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is a diffusion model like Dolly and

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stable diffusion where you start with

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some random noise then gradually update

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that noise to a coherent image check out

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this video if you want to learn more

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about that algorithm now there's a ton

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of data in a single still image like a

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th000 pixels by a th000 pixels by three

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color channels comes out to 3 million

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data points that's a big number but what

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if we have a 1 minute video at 60 frames

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per second now we have over 10 billion

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data points to generate now just to put

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that in perspective for the primate

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brain 1 million seconds is about 11 1/2

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days while 10 billion seconds is about

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3177 years so there's a massive

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difference in scale plus video has the

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added dimension of time to understand

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this data they took an approach similar

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to large language model models which

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tokenize text like code and poetry for

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example however Sora is not tokenizing

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text but rather visual patches these are

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like small compressed chunks of images

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that capture both what they are visually

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and how they move through time or frame

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by frame what's also interesting is that

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video models typically crop their

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training data and outputs to a specific

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time and resolution but Sora can train

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data on its native resolution and output

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variable resolutions as well that's

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pretty cool so how is this technology

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going to change the world well last year

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tools like Photoshop got a whole twet of

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AI editing tools in the future we'll be

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able to do the same in video like you

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might have a car driving down the road

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and want to change the background

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scenery now you can do that in 10

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seconds instead of hiring a cameraman

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and CGI expert but another lucrative

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high-paying career that's been put on

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notice is Minecraft streaming Sora can

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simulate artificial movement in

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Minecraft and potentially turn any idea

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into a Minecraft world in seconds or

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maybe you want to direct your own Indie

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Pixar movie AI makes that possible by

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stealing the artwork of talented humans

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but it might not be that easy as

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impressive as these videos are you'll

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notice a lot of flaws if you look

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closely they have that subtle but

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distinctive AI look about them and they

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don't perfectly model physics or

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humanoid interactions but it's only a

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matter of time before these limitations

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are figured out although I'm personally

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threatened and terrified of Sora it's

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been a privilege and an honor to watch

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10,000 years of human culture get

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devoured by robots this has been the

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code report thanks for watching and I

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will see you in the next one

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