Building beyond LLMs with Luma AI’s Amit Jain (Live at Web Summit Qatar) | Equity Podcast

TechCrunch · Intermediate ·🚀 Entrepreneurship & Startups ·1mo ago
LLMs may have kicked off this AI boom, but the ceiling is closer than the hype suggests. As models run out of text data to train on, the companies and investors paying attention are already moving on. The next wave isn't better chatbots; it's machines that can understand the physical world. Luma AI, the Bay Area lab that raised over $1.4 billion from a16z, Nvidia, and Amazon, is betting on exactly that. On episode of TechCrunch's Equity podcast, we’re bringing you a conversation Rebecca Bellan sat down with Amit Jain, co-founder and CEO of Luma AI, at Web Summit Qatar. Together, the pair dug into where the next trillion-dollar AI opportunity actually gets built, and whether the companies chasing it even know what they're building yet. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 01:13 Why LLMs are hitting a ceiling 02:43 The data problem & what comes after LLMs 04:30 What actually makes a world model a world model 06:05 Why 3D data is a dead end 07:39 What Luma is building next 09:08 How much humans stay in the loop 10:00 Near-term use cases for agentic video 11:22 Will AI kill jobs in film & production? 13:30 Why the entertainment industry is already dying 15:27 Why we actually need more content, not less 17:46 Luma's roadmap: generation, understanding, and robotics 19:54 Outro
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Chapters (13)

Intro
1:13 Why LLMs are hitting a ceiling
2:43 The data problem & what comes after LLMs
4:30 What actually makes a world model a world model
6:05 Why 3D data is a dead end
7:39 What Luma is building next
9:08 How much humans stay in the loop
10:00 Near-term use cases for agentic video
11:22 Will AI kill jobs in film & production?
13:30 Why the entertainment industry is already dying
15:27 Why we actually need more content, not less
17:46 Luma's roadmap: generation, understanding, and robotics
19:54 Outro
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