Jeffersonian Dinner — Generative AI Media (Palo Alto)

​An invite-only Jeffersonian dinner bringing together a curated group of generative AI media founders and investors for candid, high-signal discussion in an intimate setting.
Following the Jeffersonian format, the evening centers on moderated, participant-driven dialogue designed to surface real insights, not panels or pitches.

​Hosted by AtlasCloud.ai, ByteDance.

​Key Topics

• ​Inference is the New COGS: How to Scale Generative Media Profitably
  Exploring how inference cost shapes unit economics, margins, and business viability.

• ​Multi-Model Strategy: Open / Closed Models, Routing, Optimization, and Lock-In Risks
  Practical approaches to balancing cost, performance, and flexibility across models.

• ​What Actually Breaks When You Scale AI Media Products?
  A candid discussion of real-world bottlenecks across cost, latency, reliability, and engineering complexity.

​Format

• ​Small, curated group (founders + investors)

• ​Moderated discussion with active participation from all attendees

• ​No presentations — focused, off-the-record conversation

​Location
Palo Alto, CA (details shared upon confirmation)

​Admission
Invite only