Stephen Wolfram explores how the number of neural connections affects capabilities like language and abstraction. How far we could go accounting for neural nets and LLMS, the fundamental nature of computation, neuroscience and the operation of brains.

Stephen Wolfram, a renowned computer scientist and the creator of Mathematica and Wolfram|Alpha, shares his thoughts, research findings, and explorations into computational science, artificial intelligence, and the future of technology on his blog. With a deep understanding of mathematics, computation, and physics, Wolfram offers unique perspectives on topics ranging from computational thinking and algorithmic discovery to the philosophy of science and the impact of technology on society. Developers and researchers can gain insights from Wolfram's interdisciplinary approach to solving complex problems and pushing the boundaries of computation.

Stephen Wolfram Writings

Stephen Wolfram examines the potential impact of larger brains on cognitive abilities, focusing on concepts, language, and computational reducibility. As neural networks grow, they may surpass human capabilities, revealing new capacities through increased neurons and connections. Abstraction and language evolve to manage complexity in thought, influenced by the brain's structure and computational principles. Larger brains could bring more concepts and refined models of the world, yet they face limitations inherent to computational irreducibility.

What If We Had Bigger Brains? Imagining Minds beyond Ours

Many Brains Together: The Formation of Society