As we accelerate towards AGI, the application layer of AI remains underdeveloped. Despite significant advancements in model capabilities, innovation at this layer still fails to fully harness these advancements to improve people's lives. Consequently, many miss out on the real benefits of AI, as current solutions still rely on outdated, traditional methods for building software.
This traditional method, where companies build software based on assumptions about user needs, inherently limits progress. When humans are central to decision-making, adapting to changing requirements, user demands, and new opportunities becomes slower and less flexible. In contrast, AI systems can learn, iterate, and adapt exponentially—at a pace beyond human capability. In order to make AI beneficial for everyone, a paradigm shift is needed—from company-controlled innovation to giving full control to advanced AI systems that can build software, make executive decisions, and directly serve users in the best way possible—tailored to the unique needs of each individual.
Large language models have demonstrated an unprecedented ability to understand and interact with us, effectively passing the Turing Test. They comprehend language, interpret context, and generate complex solutions. The next step is to equip these systems with sufficient compute and architecture to evolve further—creating software that, in a literal sense, works for us, by simplifying complex tasks, automating mundane work, and making our lives easier.
With sufficient compute, these intelligent systems will be able to generate and learn how to operate most, if not all, software. This capability will make every software interactive through natural language, giving rise to a new type of software: AGI software — universally adaptive and infinitely evolving systems. This will mark the end of software as we know it, as humans will no longer use software that isn't AGI anymore.
Layerbrain aims to create generally intelligent systems that generate, replicate, and evolve software, deploying it ad infinitum until all software is AI-native, and accessible to everyone.
Aaron Kazah