The Verge - Artificial Intelligences 07月24日 22:32
We are not ready for better deepfakes
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本文探讨了AI生成合成人(Deepfakes)技术日益逼真及其带来的潜在风险。文章采访了Captions公司CEO Gaurav Misra,该公司平台Mirage Studio能够生成高度逼真的AI版本真人。Misra的博客文章“我们构建合成人类。以下是让我们彻夜难眠的原因”揭示了该领域的发展现状和未来挑战。作者对这项技术的发展速度及其社会准备度表示担忧,认为目前的Deepfakes只是最不令人信服的版本,未来将更加难以辨别真伪,而技术公司仍在加速推进相关研发。

🤖 **Deepfakes技术日益逼真,难以辨别真伪:** 文章指出,社交媒体上充斥着越来越难以分辨真假的AI生成内容(Deepfakes),这项技术正变得非常具有说服力,用户可能难以区分真实视频和AI合成视频。

🏢 **Captions公司引领AI合成人技术:** Captions公司的Mirage Studio平台允许任何人生成真实人物的AI版本,其生成结果“令人震惊地逼真”。该公司CEO Gaurav Misra在其博客文章中分享了该技术带来的挑战和担忧。

😟 **技术发展与社会准备度脱节:** 作者表达了对Deepfakes技术发展速度的担忧,认为当前的Deepfakes已经是“最不令人信服的版本”,而社会尚未做好充分准备。技术公司仍在加速推进相关研发,这加剧了人们的忧虑。

⚖️ **监管与应对措施的呼吁:** 文章列举了多篇相关报道,包括Google的Veo 3 AI视频生成器、Gemini AI将照片转为视频、以及关于AI生成欺诈、种族歧视视频的讨论。微软提议国会禁止AI生成的深度伪造欺诈,YouTube支持旨在针对未经授权AI复制品的“No Fakes Act”,这表明了业界和法律界对该技术的关注和应对意向。

If you’re like me, then lately you’ve scrolled past something on social media and thought, “Wait, was that real?” Deepfakes are everywhere, and they’re getting a lot more convincing. 

That brings me to my Decoder guest today: Gaurav Misra, the CEO of Captions. You may not have heard of Captions yet, but you’ve probably seen a video that was generated using its AI models. The company’s Mirage Studio platform lets anyone generate AI versions of real people, and the results are alarmingly realistic. 

Captions just put out a blog post titled, “We Build Synthetic Humans. Here’s What’s Keeping Us Up at Night.” It’s a good overview of the state of deepfakes and where they’re headed. 

As the CEO of a company building deepfake technology, I wanted to know what specifically keeps Gaurav up at night, which you’ll hear us get into. I’m generally more optimistic about the long-term impacts of AI than a lot of people, but as you’ll hear in this conversation, I’m a lot more nervous about this topic. 

Ultimately, I came away from this episode unsettled by the fact that the deepfakes of today are the least believable they’ll ever be, we are not ready, and the companies building this tech are racing ahead anyway. 

If you’d like to read more on what we talked about in this episode, check out the links below:

Questions or comments about this episode? Hit us up at decoder@theverge.com. We really do read every email!

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Deepfakes AI合成人 人工智能 技术伦理 内容生成
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