I don’t know every computation behind an LLM — but I understand the personality behind every intelligent system.
We’ve already built the neural nets, the middleware, and the RAG pipelines. They served their purpose — grounding outputs in data instead of delusion. But now the world of AI is shifting. RAG can no longer be just a retrieval layer; it has to become a meaning layer.
So my question to engineers is simple: how much more math can you put on math? The next frontier isn’t in optimization, it’s in ontology. We’ve reached the point where computation must meet philosophy. The systems we’ve built can reason, but not yet reflect.
Your job now isn’t only to calculate, it’s to connect. To build computational bridges behind the meaning of the philosophers, turning retrieval into resonance and math into moral geometry.
Engineering got us to coherence; philosophy and systematic intelligence will carry us to alignment.