🧠 From Fluency To Thinking: Why Reasoning Models Are The Next Leap In AI

For years, AI progress has been measured by how convincingly machines can talk. The next phase is defined by how well they can think. This conversation explores why that shift matters and what it means for science, industry, and high-stakes decision-making. #MBZUAIPartnership #Sponsored

In this episode, I sit down with Jon Carvill, Vice President of Marketing and Communications at MBZUAI, to discuss the rise of reasoning models and why they represent a fundamental change in how we should judge AI capabilities.

🎯 WHAT WE COVER:

Why fluency alone doesn't guarantee understanding in high-stakes applications

The critical difference between predicting words and reasoning through problems

How MBZUAI's K2-Think was built for reasoning from the ground up, not retrofitted

What makes reasoning models essential for science, engineering, and medicine

Real-world applications: drug discovery, climate science, financial modelling, and manufacturing

Why openness matters: training data, methodologies, and full transparency

The strategic importance of sovereign AI development for trust and governance

How K2-Think V2 achieves strong performance with clear, explainable reasoning

The connection between reasoning models and world models for physical reality

What this means for the future: moving from conversation to reliable decision-making

Where to try K2-Think and access the full open-source release

🔬 Jon Carvill leads marketing and communications at the Mohamed bin Zayed University of Artificial Intelligence, home to the Institute for Foundational Models (IFM). Their work on K2-Think represents a critical step toward AI systems that can be inspected, trusted, and applied to complex real-world problems.

This conversation reveals why the next generation of AI will be judged by its ability to reason rather than talk, why transparency and sovereignty have become practical requirements for adoption, and how open reasoning models could shape the future of science and industry.

If you are curious to try it, K2 Think is accessible through the public web app at k2think.ai, while researchers can explore the full open releases, including data and training recipes, via IFM’s Hugging Face repositories.

#MBZUAIPartnership #Sponsored
#AI #ArtificialIntelligence #ReasoningModels #MBZUAI #K2Think #OpenSourceAI #AIResearch #MachineLearning #FoundationModels #ScientificAI #TrustInAI #AISovereignty #WorldModels #BernardMarr #TechInterview #FutureOfAI #AIStrategy