Richard Socher is the founder and CEO of You.com. Richard previously served as the Chief Scientist and EVP at Salesforce.

Douwe Kiela is the CEO of Contextual AI, building the contextual language model to power the future of businesses. Previously, he was the Head of Research at Hugging Face, and before that a Research Scientist at Facebook AI Research.

Alex Lebrun is the Co-Founder and CEO of Nabla, an AI assistant for doctors. Prior to Nabla, he led engineering at Facebook AI Research. Alex founded Wit.ai, acquired by Facebook in 2015.

Tomasz Tunguz is the Founder and General Partner @ Theory Ventures, just announced last week, Theory is a $230M fund that invests $1-25m in early-stage companies that leverage technology discontinuities into go-to-market advantages.

Sarah Guo is the Founding Partner @ Conviction Capital, a $100M first fund purpose-built to serve “Software 3.0” companies. Prior to founding Conviction, Sarah was a General Partner at Greylock where she made investments in the likes of Figma, Coda and Neeva.

Emad Mostaque is the Co-Founder and CEO @ StabilityAI, the parent company of Stable Diffusion. Stability are building the foundation to activate humanity’s potential. To date, Emad has raised over $110M with Stability with the latest round reportedly pricing the company at $4BN.

Clem Delangue is the Co-Founder and CEO @ Hugging Face, the AI community building the future. To date, Clem has raised over $160M from the likes of Sequoia, Coatue, Addition and Lux Capital to name a few.

Cris Valenzuela is the CEO and co-founder of Runway, the company that trains and builds generative AI models for content creation. To date, Cris has raised over $285M for the company from the likes of Lux Capital, Felicis, Coatue, Amplify, and Nvidia to name a few.

Noam Shazeer is the co-founder and CEO of Character.AI. A renowned computer scientist and researcher, Shazeer is one of the foremost experts in artificial intelligence (AI) and natural language processing (NLP).

The Two Most Pressing Questions in AI:

What matters more the size of the model or the size of the data?
Where does the value accrue in the next 5-10 years; to startups or to incumbents?

S4 E1 - Matt Sattel - SSPs

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