The seeds of Simplex AI safety
Our co-founder, Dr. Paul Riechers, describes the most foundational theoretical underpinnings for how we can understand and intervene upon the internal representations and behaviors of modern and future artificial intelligence.
We anticipated and found that transformer neural networks represent fractal belief-state geometry in their residual stream. These fractals correspond to optimal beliefs about the future. At Simplex, we are leveraging and scaling these insights to bridge mechanism and behavior in AI, attaining a new level of understanding and control.