We’re living in an era where AI innovations are hitting faster than ever. Every week brings a new model, tool, or platform promising to revolutionize how we work, communicate, and create. From generative AI that writes, designs, and codes, to advanced predictive analytics transforming decision-making, the pace of change is dizzying.

We’ve reached a strange point in history: the future is arriving faster than ever — and yet, somehow, it feels less exciting. Every week, a new “revolutionary” technology promises to reshape our world, from AI and quantum computing to biotech and green innovation. But when everything is labeled groundbreaking, how do we know what truly is?

The first wave of Generative AI was marked by rapid breakthroughs and bold experimentation. Tools like ChatGPT, Midjourney, and Gemini captured global attention and redefined what machines could create — from text and code to images and design concepts.

Every few years, the tech world collectively loses its mind. Investors pour in billions, founders spin grand narratives, and the media declares “the future is here.” And then…reality shows up.

In this engaging conversation, Lars Tvede, renowned author and investor, sits down with Hong Hao, economist and hedge fund manager, to discuss his latest book Hyperintelligence. Together, they explore how intelligence has evolved from the Big Bang to the rise of AI, what the coming wave of agentic systems and smart robots means for productivity and labor, and how these shifts may reshape global business cycles, markets, and investment opportunities.

Drug discovery is a notoriously long, expensive, and uncertain process. Bringing a single new therapy to market often takes 10–15 years and costs upwards of $2 billion, with most candidates failing somewhere along the way. But what if we could dramatically accelerate this process, lower costs, and identify promising drug candidates with far greater precision?