Between the lab and the chancery, Shan designs semantic memory, personal superintelligence, and peace proposals that weave neuroscience, theology, and governance into actionable intelligence.
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The model learned to propose structured graph edits (nodes, edges, splits, merges, deprecations) through a gated pipeline, safely isolated in a Speculative → Probationary → Main architecture.
Read moreLetters to heads of state, manifestos for civic technology, and lab notes from semantic memory experiments.
At Thumos Care, we've always believed that AI should augment, not replace, the doctor-patient relationship. Today, we're excited to announce a major step forward in that vision: Clinician Personalization.
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Announcing major updates to Thumos Care's AI-powered health optimization platform When we first built Thumos Care, we had a simple vision: help people understand their health data and get actionable guidance. Users could upload their blood work, and our AI would analyze the results.
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Most language models learn reasoning implicitly from internet text. They absorb patterns of what sounds convincing without explicitly modeling the structure of scientific arguments.
Read moreAGI House, Hillsborough · October 2025
Built MatSyn, an AI agent that suggests synthesis routes for novel compounds using a self-improving agentic knowledge graph—in just six hours with a cross-disciplinary team.