The Intelligence Paradox: Why Smarter AI Needs Different Metrics
The revolution in intelligence will come from better understanding and enhancing the diverse forms of intelligence in nature, society, and technology.
The revolution in intelligence will come from better understanding and enhancing the diverse forms of intelligence in nature, society, and technology.
The true measure of AI’s success will emerge through the gradual transformation of how we work, innovate, and create value.
The integration of logical AI into business operations continues to deepen. The challenge for business leaders is to prepare for this transformation.
We look for new inspiration for artificial intelligence systems that can match biology’s remarkable combination of robustness and adaptability.
The generative AI revolution will bring both disruption and opportunity. Our task is to guide its development in ways that maximize its benefits.
The landscape of artificial intelligence has shifted dramatically, moving well beyond theoretical discussions into an era of practical deployment reshaping our world.
The future of AI lies in the thoughtful application distributed intelligence, social learning of human children, and the emergent properties of complex systems.
The information revolution is accelerating this co-evolutionary process to a dizzying degree because it directly impacts how we think and organize ourselves.
Can a one-year-old child really be smarter than our most advanced artificial intelligence systems? The answer might surprise you.
The Austrian school of economics suggests we should examine the market processes that create wealth instead of focusing on wealth distribution outcomes.