Calling America - World Models Are Back

About this episode

The episode discusses the resurgence of world models in AI and the potential of combining symbolic knowledge with machine learning.

In this episode, we dive into the resurgence of world models in AI and explore why the industry is revisiting neurosymbolic approaches. We challenge the dominance of data-centric models and discuss how combining symbolic knowledge with machine learning could unlock new breakthroughs. Our conversation highlights Europe's unique strengths and potential as a leader in this evolving landscape. We also address the importance of domain expertise and mathematics, and question whether the current AI race is stifling real innovation. Join us for a candid discussion on what the next wave of AI could—and should—look like. We thank our partner [**SIEMENS** ](https://www.siemens.de/de/)

People in this episode

Hosts: Robert Weber, Peter Seeberg

Topics covered

• world models
• neurosymbolic approaches
• data-centric models
• symbolic knowledge
• AI innovation
• domain expertise
• mathematics

Keywords

• world models
• AI
• neurosymbolic
• data-centric
• innovation
• domain expertise
• mathematics

Sponsors

SIEMENS

More episodes of Industrial AI Podcast

• AI for the Glass Industry · June 3, 2026 · 29 min
• NVIDIA´s Safety Initiative / The unique Volkswagen-Siemens joint venture · May 27, 2026 · 1h 11m
• Governed Autonomy: Why Edge AI Needs Guardrails · May 20, 2026 · 53 min
• Mistral acquires NXAI spin-off Emmi AI / API Calls · May 19, 2026 · 43 min
• Exclusive News Delay · May 13, 2026 · 1 min
• The CAD AI Hype!? · May 6, 2026 · 28 min