The challenge ahead lies not just in developing better ways to measure intelligence, but in reconceptualizing what we mean by intelligence in the first place.
Beyond the Black Box: Rethinking How We Measure Machine Intelligence Read More »
The revolution in intelligence will come from better understanding and enhancing the diverse forms of intelligence in nature, society, and technology.
The Intelligence Paradox: Why Smarter AI Needs Different Metrics Read More »
The integration of logical AI into business operations continues to deepen. The challenge for business leaders is to prepare for this transformation.
The Intelligence Equation: Why Business Logic is Getting a Mathematical Upgrade Read More »
The generative AI revolution will bring both disruption and opportunity. Our task is to guide its development in ways that maximize its benefits.
The Intelligence Paradox: What Generative AI Can and Cannot Tell Us Read More »
The future of AI lies in the thoughtful application distributed intelligence, social learning of human children, and the emergent properties of complex systems.
The Social Dimensions of Machine Intelligence: Lessons from Natural Systems Read More »
Can a one-year-old child really be smarter than our most advanced artificial intelligence systems? The answer might surprise you.
The Intelligence Puzzle: Why Children Surpass Supercomputers Read More »
Understanding these fundamental differences between human and machine learning is crucial for developing more effective and reliable AI systems.
The Learning Gap: Why Human and Artificial Intelligence Develop Differently Read More »
Reflection on the fundamental differences between machines, mankind and the notion of intelligence itself – starting with foundations of AI.
Artificial Intelligence: Machines, Man and Intelligence Read More »
