Luc Izri — architect, theorist, and co-founder of Inflexion Dynamics — joins us to explore the evolving relationship between computation and design thinking. With a deep background in algorithmic and topological design education, Luc brings a fresh perspective on how AI is transforming not only architectural practice, but the way we teach and learn it.

This episode delves into the challenges and opportunities of educating architects at a time when tools can generate, iterate, and optimize with increasing ease. What should we let go of? What do we hold on to? And how can we better prepare students for a profession in transformation?

From shifting workflows to transdisciplinary futures, we reflect together on authorship, complexity, and the emerging soft skills that could redefine the architect’s role in a changing world.

Join us as we rethink not only how we design — but how we decide, teach, and evolve alongside new forms of intelligence.

In this episode, we’re joined by Roey Granot, co-founder of QBIQ, a trailblazing company using artificial intelligence to transform how we design and plan spaces. QBIQ’s platform allows brokers, landlords, architects, and tenants to generate instant, customized layout plans and immersive 3D tours—redefining workflows across real estate and architecture.

We explore the founding story of QBIQ, the promise (and limitations) of AI in architectural design; From data-driven design to personalization at scale, Roey shares how QBIQ operates at the intersection of Architecture, Data, and AI—and what the future holds for our industry.

Join us as we unpack the opportunities and challenges of integrating AI into the creative process—and consider what it means for the future of space planning.

In the rapidly evolving world of AI, one of the most pressing questions is: Can AI models truly unlearn?
As AI becomes more integrated into our daily lives, ensuring healthier, bias-free models is crucial. In this episode, we dive deep into a groundbreaking approach—machine unlearning—with Ben Louria, founder of Hirundo.
His platform tackles one of the biggest challenges: removing harmful or biased data from AI systems without requiring a complete retraining. Imagine an AI model that can ‘forget’ misinformation or user-specific data, making the technology more accurate, ethical, and adaptable. Instead of costly and time-consuming retraining, could we just delete the biased data? And what does this mean for AI’s future in industries like healthcare, finance, but also creative fields?
Join us to explore the possibilities of creating healthier AI models and reshaping the future of Artificial Intelligence.
This is an episode you don’t want to miss!