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Beyond Uncanny Valley: Breaking Down Sora

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Content provided by a16z and Andreessen Horowitz. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by a16z and Andreessen Horowitz or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In early 2024, the notion of high fidelity, believable AI-generated video seemed a distant future to many. Yet, a mere few weeks into the year, OpenAI unveiled Sora, its new state of the art text-to-video model producing videos of up to 60 seconds. The output shattered expectations – even for other builders and researchers within generative AI – sparking widespread speculation and awe.

How does Sora achieve such realism? And are explicit 3D modeling techniques or game engines at play?

In this episode of the a16z Podcast, a16z General Partner Anjney Midha connects with Stefano Ermon, Professor of Computer Science at Stanford and key figure at the lab behind the diffusion models now used in Sora, ChatGPT, and Midjourney. Together, they delve into the challenges of video generation, the cutting-edge mechanics of Sora, and what this all could mean for the road ahead.

Resources:

Find Stefano on Twitter: https://twitter.com/stefanoermon

Find Anjney on Twitter: https://twitter.com/anjneymidha

Learn more about Stefano’s Deep Generative Models course: :

https://deepgenerativemodels.github.io

Stay Updated:

Find a16z on Twitter: https://twitter.com/a16z

Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

Subscribe on your favorite podcast app: https://a16z.simplecast.com/

Follow our host: https://twitter.com/stephsmithio

Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

  continue reading

256 episodes

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Beyond Uncanny Valley: Breaking Down Sora

a16z Podcast

51,217 subscribers

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Manage episode 402696159 series 2546451
Content provided by a16z and Andreessen Horowitz. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by a16z and Andreessen Horowitz or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In early 2024, the notion of high fidelity, believable AI-generated video seemed a distant future to many. Yet, a mere few weeks into the year, OpenAI unveiled Sora, its new state of the art text-to-video model producing videos of up to 60 seconds. The output shattered expectations – even for other builders and researchers within generative AI – sparking widespread speculation and awe.

How does Sora achieve such realism? And are explicit 3D modeling techniques or game engines at play?

In this episode of the a16z Podcast, a16z General Partner Anjney Midha connects with Stefano Ermon, Professor of Computer Science at Stanford and key figure at the lab behind the diffusion models now used in Sora, ChatGPT, and Midjourney. Together, they delve into the challenges of video generation, the cutting-edge mechanics of Sora, and what this all could mean for the road ahead.

Resources:

Find Stefano on Twitter: https://twitter.com/stefanoermon

Find Anjney on Twitter: https://twitter.com/anjneymidha

Learn more about Stefano’s Deep Generative Models course: :

https://deepgenerativemodels.github.io

Stay Updated:

Find a16z on Twitter: https://twitter.com/a16z

Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

Subscribe on your favorite podcast app: https://a16z.simplecast.com/

Follow our host: https://twitter.com/stephsmithio

Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

  continue reading

256 episodes

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