How Businesses, Creators, and Researchers are Building the “Generative Generation"

Name: How%20Businesses,%20Creators,%20and%20Researchers%20are%20Building%20the%20%E2%80%9CGenerative%20Generation%22
Uploaded: 2023-01-27

Posted Jan 27, 2023 | Views 719

# AI

# Technology

# Strategy

# ELC Annual 2022

speakers

Mira Murati

CTO @ OpenAI

Mira Murati is the CTO of OpenAI. Mira and her teams are pushing the frontiers of what neural networks can do, seeking to better understand the behavior of powerful AI systems and make them safer and align them with human intentions and human values. Prior to joining OpenAI, she led the product and engineering teams at Leap Motion (VR/AR startup), and led the design, development, and launch of vehicle products at Tesla, including Model X.

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Naveen Gavini

SVP, Products @ Pinterest

Naveen Gavini is the SVP of Products at Pinterest, where he oversees all design and product efforts for both consumer and advertiser products. He is incredibly passionate about building great user experiences and creating environments that stimulate creativity and innovative thinking. Prior to this role Naveen led both the design and engineering functions and was one of Pinterest's earliest engineers, joining in 2012. Since then, he played a critical role in scaling the engineering team, and was involved in almost every major new product initiative the company has developed for users.

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Vijay Karunamurthy

Head of Engineering @ Scale AI

Vijay Karunamurthy is Scale’s Head of Engineering. He was the Director of Engineering at Apple for 5 years. He was the Co-Founder and CEO of Nom Labs, a community for food lovers to create, share and watch their favorite stories in real-time, and Co-Founder of AVOS Systems. Additionally, he was an Engineering Manager at Google and Youtube.

Vijay is an expert in data-centric AI and building Machine Learning teams. He believes that the next decade of AI achievement is going to be built by teams that take on outsized ambitions, and understand that it is not always a straight line to get there.

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SUMMARY

Starting with the announcement of OpenAI’s DALL·E 2 in April of this year, enthusiasts and research engineers alike have generated a tidal wave of interest in the latest quantum-leap ML advances for Generative AI—particularly for forms of human expression. DALL·E 2 pioneered a new AI technique known as Diffusion Models: learning from a huge range of photography and visual expression on the open web, then “denoising” an initial input of random noise, while using the power of Transformers to structure how the resulting image evolves based on an input prompt.

Over the last 6 months, DALL·E 2 has attracted enthusiastic supporters (and a few critics, as with any new disruptive technology) in artistic, engineering, and research communities. That’s because these models power new forms of expression, including techniques that work “backwards” from images to understand the concepts the model “sees”.

In this panel, we’ll compare and contrast the impact that Generative AI has had across a wide range of products and tasks, from the impact on the field of software engineering, to the workflows adopted in creative fields. We’ll also talk about the impact on curation and community on the web, and how the act of discovery and inspiration might change with workflows powered by Generative AI.

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