The multimodal lakehouse for AI, accelerating large-scale data curation and feature engineering so teams can build better models faster.
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Joined April 2023
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1/9 The Reverie Summit 2026 agenda is live!
What does it take to build world models, train robots, and search hundreds of billions of pages?
Meet the teams building the data systems behind them.
November 5 in San Francisco.
reveriesummit.com/
LanceDB retweeted
sweet dreams 🤍 #Reverie2026
thank you all for being part of something i’ll never forget
Morning sessions and lunch are wrapped!
Thank you to @MicrosoftAI and @AppliedInt for the great sessions. Lots of good lunch conversations everywhere!
Reverie is live 🎉
Doors are open, @BEBischof kicked us off, and @changhiskhan and @_arohan_ just opened the summit for AI builders.
Follow along all day! #Reverie2026
LanceDB retweeted
load in day for #Reverie2026!!!
last chance to buy your tickets is TONIGHT 🏃🏻♀️
It's official - LanceDB and @Databricks are hosting Afterdream, the Reverie after party, at Madarae!
Join AI researchers, research engineers, ML engineers, and technical leaders working on multimodal data as we close out #Reverie2026.
Space is limited. Approval is first come, first served. Register here: na2.hubs.ly/H08MWMV0
Attending CoRL in next week? Join @CRV, LanceDB, and Orchestral Labs for a Physical AI Night on Wednesday, November 11!
Come hang out with researchers, founders, and engineers working on robots in the real world, with drinks, (competitive) shuffleboard, and good conversation.
Register here! na2.hubs.ly/H08L8mG0
Your training run has said “3 hours remaining” since Friday afternoon. You have time to come to #Reverie2026 on Thursday.
Last chance to apply! Registration closes Tuesday Nov 3.
Nov 5, San Francisco. Apply to attend → na2.hubs.ly/H08L8rl0
We’re grateful to the sponsors helping make #Reverie2026 a great day. 💜
Thank you to @nebiusai, @AWS, @encord_team, Swift Ventures, @DigitalOcean and @Databricks for supporting Reverie.
See you November 5 in San Francisco. Registration closes next Tuesday Nov 3.
na2.hubs.ly/H08KPfF0
Semantic retrieval has to live within enterprise constraints.
@Adobe’s Jiayao Hu explores the latency, cost, and data residency tradeoffs behind its multimodal lakehouse at #Reverie2026.
Apply to attend → na2.hubs.ly/H08HQ1T0
1 week until #Reverie2026 ⏰
Speakers from @Nvidia, @runwayml, @zoox, @DynaRobotics, @LumaLabsAI, @AppliedInt, @ExaAILabs, and more!
1 day only. If you are building world models, robotics and autonomy systems, training infrastructure, or multimodal search, this is the room to be in.
Nov 5, San Francisco. 1 week left to apply: na2.hubs.ly/H08Glpm0
𝘊𝘰𝘮𝘮𝘦𝘯𝘵 𝘣𝘦𝘭𝘰𝘸 𝘸𝘩𝘪𝘤𝘩 𝘴𝘦𝘴𝘴𝘪𝘰𝘯 𝘺𝘰𝘶'𝘳𝘦 𝘭𝘰𝘰𝘬𝘪𝘯𝘨 𝘧𝘰𝘳𝘸𝘢𝘳𝘥 𝘵𝘰 𝘵𝘩𝘦 𝘮𝘰𝘴𝘵! ⤵️
Your model might be peeking at the answer.
@Salesforce's Vasundra Srinivasan shows how misaligned video and action labels can leak future information into training, and how to catch it, at #Reverie2026.
Apply to attend → na2.hubs.ly/H08Fs3R0
Session: reveriesummit.com/session/wh…
A storage format choice can follow you into every training run.
GM / Cruise's Xin Hu shares its feature store and its plans to connect it directly to training at #Reverie2026.
Apply to attend → na2.hubs.ly/H08Cyz_0
Session: reveriesummit.com/session/sp…
Changed one feature. Reran the whole pipeline. Sound familiar?
@GM's Gokcen Iskender explains how feature-level caching avoids recomputing unchanged features for self-driving AI at #Reverie2026.
Apply to attend → na2.hubs.ly/H08zQW20
Before blaming S3 for slow writes, benchmark your WAL.
We used LAION to benchmark storing multimodal data with a WAL. Lance writes blobs directly using Lance Blob v2, so SSTable flushes contain only metadata.
At concurrency 32, Lance delivered 11.2% more write throughput than SlateDB while persisting 48.2% fewer bytes on S3.
na2.hubs.ly/H08wr9H0
Congrats @duckdb on 2.0.0 release 👏🦆
🦆 Announcing DuckDB 2.0.0 LTS “Cinnamon Teal”
We are proud to release DuckDB 2.0.0, named after the cinnamon teal (Spatula cyanoptera), a striking reddish-brown duck found in the western Americas. 🌎
DuckDB 2.0.0 is the biggest DuckDB feature release so far. It ships a polished version of the Quack protocol, which turns DuckDB into a full-fledged server. It improves performance and lowers costs through supporting asynchronous I/O, a first-class VARIANT type, and a dedicated “agent mode”. It also empowers extension developers with a new SQL parser that allows adding new statements, clauses, and keywords, a new API to build on, and a new mechanism to distribute extensions more easily.
In our announcement blog post, we summarize the highlights and then walk through the key changes and give guidance on how to migrate to 2.0. For the complete release notes, see the release page on GitHub.
duckdb.org/2026/10/21/announ…
#DuckDB
The plot thickens. The table widens.
@Tubi's John Trenkle serves up Cornucopia at #Reverie2026. One row per title, every modality at the same table.
Now that's a feature presentation.
Apply to attend → na2.hubs.ly/H08wWSb0
Session: reveriesummit.com/session/co…