CONCEPT
The Building Blocks Hypothesis
Holland's foundational claim that adaptive systems work by discovering, testing, and recombining modular components — and that the power of the system lies in the combinatorial space of these recombinations, not in the components themselves.
The building blocks hypothesis, articulated in Holland's 1975 Adaptation in Natural and Artificial Systems, states that complex adaptive systems solve problems too large for direct search by assembling solutions from recombinable modular components. A face has two eyes, a nose, a mouth — these are building blocks. The space of all possible pixel arrangements is astronomical. The space of arrangements consistent with building block structure is manageable. Evolution did not search the first space. It discovered the second and recombined within it. The hypothesis applies with identical structural logic to immune systems, economies, ecosystems, language, and — as Holland's framework reveals — to the operation of large language models, whose training compresses civilizational linguistic production into parameters that recombine in response to contextual selection pressure.
In The You On AI Field Guide
Holland's insight was that the combinatorial mathematics of building block recombination provided the only plausible mechanism by which adaptive systems could navigate