Everyday AI Podcast – An AI and ChatGPT Podcast

EP 256: Microsoft's VASA-1 AI Deepfake: So good it's dangerous?


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Is this AI tool too good to be safe? Maybe.  We'll be taking a look at Microsoft's impressive VASA-1 deepfake cloning technology. 
We'll answer the important questions:
↳ What is this technology? 
↳ Why do we need it? 
↳ Is it so good that it's dangerous? 

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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on Microsoft VASA-1

Related Episodes:
Ep 211: OpenAI’s Sora – The larger impact that no one’s talking about
Ep 157: Future of AI Video – Pika Labs 1.0, Runway updates, Meta Emu and more

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
01:20 Daily AI news
05:15 Is VASA-1 dangerous?
09:12 Potential dangers of AI outweigh potential benefits.
12:14 Voice inflection changes, impressive text to speech.
15:29 Generative content creation: impressive, concerning, and exciting.
18:54 Quickly scalable technology opens exciting possibilities but troubling.
21:23 Real-time face swapping with surprising computing power.
24:35 Realistic motion control, capturing human-like tendencies.
29:26 Use digital avatars for efficient training purposes.
30:16 Microsoft research paper VASA 1 creates human-like avatars.
34:20 Discussing generative AI's potential benefits versus risks.

Topics Covered in This Episode:
1. Explanation of VASA-1's capabilities
2. Concerns around Microsoft's VASA-1
3. Discussion on deepfakes
4. Potential Risks and Ethical Considerations
5. Potential Benefits and Positive Use Cases

Keywords:
Microsoft's VASA 1, deep fake model, Everyday AI, livestream podcast, AI news, Adobe, Photoshop, Google, DeepMind, Microsoft PHY 3 mini model, OpenAI's SoRUP, AI deepfakes, talking head images, Jordan Wilson, misinformation, disinformation, generative AI, AI's impact on jobs, lifelike talking faces, digital twin technology, AI avatar, AI-generated speech, Mona Lisa, Baidu's Emo, Synthesia, HeyGen, Hour 1, DID platform, training, personalized learning

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