The artificial intelligence boom has an insatiable appetite. With every new generative model, we hear about the immense computational power required, the billions of dollars invested, and the plans for new, city-sized data centers that consume the energy of a small country. We’ve been told this is the unavoidable cost of progress.

But what if it’s not?

What if there’s a fundamentally different approach to AI—one that’s not just more powerful, but radically more efficient? In a recent breakthrough discussion, Dr. Mahault Albaracin of Versus AI revealed a statistic so staggering it forces us to question the entire trajectory of mainstream AI development: a new AI architecture that outperformed a Google DeepMind model by 60% while using 97% less compute power.

This isn’t just a minor optimization. This is a revolution. And it signals that the future of AI may not be in bigger data centers, but in smarter, more efficient systems modeled on the most powerful computer we know: the human brain…