Interview
Is LTX-2.5 really a world model?

Yaron Inger
Co-Founder & CTO, LTX
85 minHosted by Kim Isenberg and Peter Thum
Watch on YouTubeAbout this conversation
Can an AI video model genuinely understand how the world works, or is it still just generating increasingly convincing pixels? Kim Isenberg and Peter Thum sit down with Yaron Inger, Co-Founder and CTO of LTX, to examine the technology and business behind LTX-2.5, the company’s latest open-weights video and world model.
They discuss what changed from LTX-2.3, how native multi-shot generation keeps consistency across cuts, where the model still fails, and whether its understanding of physics is strong enough to matter for robotics and physical AI. They also challenge the business side: how fair the speed benchmarks are, what creators can expect on affordable hardware, and what enterprise customers pay for when the weights can already be downloaded.
Topics
- What changed from LTX-2.3 to LTX-2.5
- Native multi-shot generation and consistency across cuts
- Where the model still fails
- Physics understanding, robotics and physical AI
- How fair LTX’s speed benchmarks are
- What enterprises pay for when the weights are free to download
- Building a durable advantage in an open ecosystem
Kim Isenberg is co-founder and Editor-in-Chief of Superintelligence, an AI newsletter published every weekday.
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