Conferences / Reverie
Reverie 2026
Nov 5, 2026 · Contemporary Jewish Museum, San Francisco, CA, United States
- Conference
- Reverie Vendor & industry
- Dates
- Nov 5, 2026
- Venue
- Contemporary Jewish Museum
- Place
- San Francisco, CA, United States
- Format
- In person
- Status
- Past
- Attendance
- —Pre-event announcement (2026-08-11) said LanceDB is gathering 'about 200 AI researchers, engineers, and technical leaders'; application-only, 'Capacity is limited'. No post-event headcount found.
- Website
- reveriesummit.com
- Recorded
- 6 sponsors · 28 speaker appearances
- Notes
- First edition. One-day, application-only summit (apply via reveriesummit.com; registration on Accelevent). Main stage in the morning, two breakout stages (Upstairs/Downstairs) in the afternoon, two panels, closing keynote, reception, plus 'Afterdream' evening event hosted by LanceDB & Databricks at Madarea. Ticket prices not published (refundable until 2026-10-22). Full speaker list from the site's 4-page speaker carousel and session pages; MC Bryan Bischof (Theory Ventures, per site) from his own post. The August announcement listed Yichen Wang (Luma AI), Jing Chen He (Adobe) and Cruise, who were replaced by Haoran Cai, Jiayao Hu and GM on the final agenda. Affiliations shown as company logos on the site. Sponsor logos shown without tiers ('Thank you to our sponsors'). Site says 'Recordings coming soon'; no video/slides yet as of 2026-11-08.
Ticket prices
No ticket prices recorded
Sponsors 6
Speakers and talks 28
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Chang She | LanceDB | Keynote | Welcome: What Will AI Dream Next? | — |
| Gerred Dillon | Arcee AI | Keynote | Rethinking AI Infrastructure | — |
| Rohan Anil | Core Automation | Keynote | Still Training: A Decade of Learning the Hard Way | — |
| Adharvan Jakkula | Zoox | Speaker | Beyond HPC Storage: S3-Native Training Without the Performance Tradeoff | — |
| Barkley Dai | Luma AI | Panelist | Physical AI Researchers (panel) | — |
| Bo Tian | XPENG | Panelist | Building the Autonomous Driving Data Flywheel (panel) | — |
| Bo Tian | XPENG | Speaker | Scaling the Data Foundation for XPENG's VLA 2.0 | — |
| Bryan Bischof | Theory Ventures | Mc | — | — |
| Chang She | LanceDB | Moderator | Physical AI Researchers (panel) | — |
| Chang She | LanceDB | Speaker | Closing Remarks: From What AI Dreams to What We Build Next | — |
| Ethan Rosenthal | Runway | Speaker | Scalable, Multimodal Data Curation | — |
| Fei Xue | LanceDB | Moderator | Building the Autonomous Driving Data Flywheel (panel) | — |
| Gokcen Iskender | General Motors | Speaker | Lance in Action: Speeding Up Training and Scaling Data for Self-Driving AI | — |
| Haoran Cai | Luma AI | Speaker | From Raw Delivery to the Training Loop: Luma's Data Platform on Lance | — |
| Jan van der Vegt | Exa | Speaker | Managing an Index of 100s of Billions of Pages With Exa Skeleton | — |
| Jiayao Hu | Adobe | Speaker | How Adobe Built a Multimodal Lakehouse for AI-Native Experiences | — |
| John Trenkle | Tubi | Speaker | Cornucopia: Serving Up Every Modality of Data at the AI Feast | — |
| Lei Xu | LanceDB | Panelist | Building the Autonomous Driving Data Flywheel (panel) | — |
| Max Li | NVIDIA | Speaker | Cosmos: Omnimodal World Models for Physical AI | — |
| Max Li | NVIDIA | Panelist | Physical AI Researchers (panel) | — |
| Miao Wang | Adobe | Speaker | How Adobe Built a Multimodal Lakehouse for AI-Native Experiences | — |
| Shiyan Xu | Applied Intuition | Speaker | From Raw Driving Logs to RL Training: A Petabyte-Scale Lance Pipeline in Production | — |
| Shiyan Xu | Applied Intuition | Panelist | Building the Autonomous Driving Data Flywheel (panel) | — |
| Suqiang (Jack) Song | Microsoft | Speaker | Building the Data Flywheel for Frontier AI Model | — |
| Vasundra Srinivasan | Salesforce | Speaker | What Does "Now" Mean to Your Model? Time Alignment for Multimodal AI Data | — |
| Xin Hu | General Motors | Speaker | Lance in Action: Speeding Up Training and Scaling Data for Self-Driving AI | — |
| Zhipeng Yan | Dyna Robotics | Panelist | Physical AI Researchers (panel) | — |
| Zhipeng Yan | Dyna Robotics | Speaker | Data Infrastructure for Robotics Foundation Models | — |