E181: Why Multimodal Is the Future of AI Data Workloads

Open Source Startup Podcast

Robby (MTF); Tim (Essence VC) द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Robby (MTF); Tim (Essence VC) या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal।

3M ago 36:31

MP3•एपिसोड होम

Chang She is Co-Founder & CEO of LanceDB, the multimodal lakehouse platform. Their open source data format lance has over 5K stars on GitHub and is a modern columnar data format for ML and LLMs implemented in Rust.

LanceDB has raised $41M from investors including Theory Ventures, CRV, and Essence VC.

In this episode, we dig into:

Early focus: autonomous vehicles; solved real-time analysis limits with Lance format → 9,000% performance gain.
Multi-modal AI taking off (vision, audio, text); Midjourney & Runway as pioneers; audio now a major category.
How they built trust through open source.
Integrated workflows (data prep + search + embedding) going beyond vector DBs; education needed to show full value.
Cloud/serverless launch in 2023–24 enabled seamless local-to-production use.
Future bets: audio infra, robotics, spatial reasoning; vector DBs risk irrelevance if they don’t evolve.

186 एपिसोडस

#Tech #Robby (Cowboy VC) & Tim (Essence VC #Robby (Cowboy VC #Tim (Essence VC