Base26
Software has always been a fusion of code and data. But for decades, we’ve been confined to two extremes.
In Software 1.0, we manually translated expert knowledge into programs, creating software artifacts that were 99% code and 1% data. In Software 2.0, a paradigm articulated by Andrej Karpathy, we automatically distilled vast datasets via training into neural network weights, creating software artifacts that were 1% code and 99% data.
The rise of Large Language Models introduces a third path, enabling us to program in the most intuitive interface of all: 26 letters of the English alphabet. As the lines between programmer and prompter, and code and data, continue to blur, we must ask: What will the Software 3.0 of tomorrow look like?
Base26 is built on a single, core belief: that the most profound technological progress will come not from “better code” or “bigger data”, but from the rigorous, creative exploration of the entire spectrum between them. We are testing this thesis by building neuro-symbolic AI systems that solve problems where digital intelligence is applied to the physical world (for full thesis , ). If you are a builder, researcher, or just plain curious, we invite you to connect ().