Pete

Building the World's First AI That Discovers — Not Just Generates The First Generative Intelligence Platform for Scientific Discovery • AI that discovers, not just predicts • $200M Series A Current generative AI models: • rely on correlation rather than causation • struggle with reasoning and scientific discovery • require enormous data and compute • hallucinate and lack explainability The next generation of AI must integrate: • causal reasoning • physics-informed learning • neurosymbolic architectures This enables machines to infer mechanisms rather than memorize patterns. “We’re building AI that understands how the world works.” The Generative Intelligence Platform Capabilities: • hypothesis generation • scientific simulation • molecular design • engineering optimization • multimodal reasoning I'm a researcher in theoretical physics and a multidisciplinary author whose work moves fluidly between advanced science and humanistic inquiry. Trained to think in the language of abstraction—mathematical structures, complex systems, and theoretical models, I bring the same rigor to questions of meaning, identity, ethics, and human continuity. My writing is marked by a distinctly polymathic approach. Drawing from theoretical physics, artificial intelligence, technology strategy, philosophy, and literature, I synthesize complex scientific ideas with reflective, deeply human perspectives.