Executive Dinner Engagement
Building on Open World Models: AI Video Infrastructure That's Yours
000 days 00 hours 00 minutes 00 seconds
San Francisco, CA, USA9th September 20266.00 pm - 9.30 pm
In collaboration with

Register your Interest
Discussion Topics
• Why Your AI Video Spend Is Locked in the Cloud (and how to break free):Running video AI at scale requires a different deployment model. What changes when the model runs on your hardware?
• Open Weights as Your Moat:Why owning your model weights and fine-tuning on your data, is the real competitive advantage.
• Synthetic Video as Infrastructure:For simulation, training, robotics: how one model powers everything.
• Adding AI Video Without Rebuilding Your Pipeline:What does it actually take to add a new model to your pipeline without redesigning everything?
• Fine-Tuning on Your IP (without sharing It):When you train a model on proprietary data, who owns the output? How do you ensure your data doesn't leak?
Speakers
Agenda
6.00 pm - 7.00 pm
Drinks Reception
7.00 pm - 7.20 pm
Introduction to Lightricks
7.20 pm - 9.00 pm
Dining experience with table discussions
9.00 pm - 9.30 pm
Closing remarks & key takeaways
Location

At the heart of New York City
Set in Midtown Manhattan, Gabriel Kreuther is a Michelin-starred fine dining restaurant located at 41 West 42nd Street. Helmed by the acclaimed Chef Gabriel Kreuther, the restaurant serves sophisticated French cuisine, rooted in the culinary traditions of Alsace, in a chic, airy space with salvaged-wood beams. With accolades including 3 Stars from the NY Times, a AAA 5 Diamond Award, and membership in the prestigious Relais & Châteaux collection, GK NYC masterfully blends old-world French technique with the creativity and innovation of modern New York dining.
Next Steps
Discussion Topics
• Why Your AI Video Spend Is Locked in the Cloud (and how to break free):Running video AI at scale requires a different deployment model. What changes when the model runs on your hardware?
• Open Weights as Your Moat:Why owning your model weights and fine-tuning on your data, is the real competitive advantage.
• Synthetic Video as Infrastructure:For simulation, training, robotics: how one model powers everything.
• Adding AI Video Without Rebuilding Your Pipeline:What does it actually take to add a new model to your pipeline without redesigning everything?
• Fine-Tuning on Your IP (without sharing It):When you train a model on proprietary data, who owns the output? How do you ensure your data doesn't leak?
Speakers
Agenda
6.00 pm - 7.00 pm
Drinks Reception
7.00 pm - 7.20 pm
Introduction to LTX
7.20 pm - 9.00 pm
Dining experience with table discussions
9.00 pm - 9.30 pm
Closing remarks & key takeaways
Location






