Executive Dinner Engagement
Building on Open World Models: AI Video Infrastructure That's Yours
000 days 00 hours 00 minutes 00 seconds
New York City, NY, USAOctober 21, 20266.00 pm - 9.30 pm
In collaboration with
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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
Kevin Croxton
VP of Sales
Ann Streichman
Pilots Team Lead
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
Manhatta is a restaurant from Danny Meyer's Union Square Hospitality Group, perched sixty stories above Lower Manhattan, combining sky-high views with the down-to-earth spirit of a neighborhood spot. Named in tribute to a Walt Whitman poem capturing his love for New York, it's an homage to the city itself. Set 60 stories high with 360-degree exposures, the restaurant offers stunning views stretching north to Midtown, east to Brooklyn's bridges, and southwest to New York Harbor and the Statue of Liberty. The ever-evolving menu draws on traditional techniques and global influences, offering a multi-course dinner and à la carte lunch alongside an award-winning wine list.
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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
Kevin Croxton
VP of Sales
Ann Streichman
Pilots Team Lead
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
