Can an AI video model genuinely understand how the world works, or is it still just generating increasingly convincing pixels?

In this episode, 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.

We discuss what actually changed from LTX-2.3, how native multi-shot generation maintains consistency across cuts, where the model still fails, and whether its understanding of physics is strong enough to matter for robotics and physical AI.

We also challenge the business behind the technology: How fair are LTX’s speed benchmarks? What can creators realistically expect on affordable hardware? What are enterprise customers paying for when the weights can already be downloaded? And how does LTX build a durable advantage in an open ecosystem?

This is a direct conversation about whether AI video is evolving from a creative tool into real infrastructure for filmmaking, simulation, and robotics.

Learn more about LTX-2.5: https://ltx.io/

Read Superintelligence: https://getsuperintel.com/
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