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No Priors: Artificial Intelligence | Technology | Startups
Can AI replace the camera? with Joshua Xu from HeyGen
No Priors: Artificial Intelligence | Technology | Startups

Can AI replace the camera? with Joshua Xu from HeyGen

Conviction 27m 22 months ago
At this moment of inflection in technology, co-hosts Elad Gil and Sarah Guo talk to the world's leading AI engineers, researchers and founders about the biggest questions: How far away is AGI? What markets are at risk for disruption? How will commerce, culture, and society change? What’s happening in state-of-the-art in research? “No Priors” is your guide to the AI revolution. Email feedback to show@no-priors.com. Sarah Guo is a startup investor and the founder of Conviction, an investment firm purpose-built to serve intelligent software, or "Software 3.0" companies. She spent nearly a decade incubating and investing at venture firm Greylock Partners. Elad Gil is a serial entrepreneur and a startup investor. He was co-founder of Color Health, Mixer Labs (which was acquired by Twitter). He has invested in over 40 companies now worth $1B or more each, and is also author of the High Growth Handbook.

Show Notes

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 AI video generation models still have a long way to go when it comes to making compelling and complex videos but the HeyGen team are well on their way to streamlining the video creation process by using a combination of language, video, and voice models to create videos featuring personalized avatars, b-roll, and dialogue. This week on No Priors, Joshua Xu the co-founder and CEO of HeyGen,  joins Sarah and Elad to discuss how the HeyGen team broke down the elements of a video and built or found models to use for each one, the commercial applications for these AI videos, and how they’re safeguarding against deep fakes. 
Links from episode:
HeyGen
McDonald’s commercial
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Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil |  @joshua_xu_
Show Notes: 
() Introduction
() Applications of AI content creation
() Best use cases for Hey Gen
() Building for quality in AI video generation
() The models powering HeyGen
() Research approach
() Safeguarding against deep fakes
() How AI video generation will change video creation
() Challenges in building the model
() HeyGen team and company

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