Semiotica Cybernetics unveils semiotic AGI and ASI architecture

Semiotica’s announcement is a reminder that many attempts to leapfrog today’s LLM‑centric approaches are brewing on the periphery of the field. Their pitch is that by formalizing “meaning” through semiotics, they can move beyond pattern‑matching text models toward systems that reason over symbols grounded in the real world. Conceptually, this sits closer to older cognitive architectures and symbolic‑connectionist hybrids than to pure scaling‑law thinking.

From an AGI race perspective, the practical impact depends entirely on whether the ideas survive independent scrutiny and empirical benchmarking. At minimum, it highlights a growing appetite—especially outside the big US labs—for architectures that promise more interpretable reasoning and richer world models. Even if this particular proposal doesn’t pan out, it contributes to a broader search for alternatives to brute‑force scaling that could become important if compute, data or safety constraints slow current trajectories. For now, though, it should be treated as an interesting, unproven claim rather than a true milestone.