Matthew Harvey Sanders

Longbeard is testing whether doctrinal trust can support a defensible vertical-AI business without frontier-scale breadth. Its Magisterium AI serves users in 165 countries, draws on more than 28,000 church documents, and is built by roughly 22 people; Sanders calls it the world’s leading Catholic answer engine. The objective function is not generic helpfulness but “fidelity to the magisterium of the church,” for an audience the host notes still outnumbers ChatGPT users nearly two to one.

The emerging moat is an ingestion-and-context stack, not a thin religious prompt over a commodity model. Longbeard expanded from roughly 600 core texts to 28,000 documents after discovering that users wanted church teaching applied to messy personal situations, not categorical answers. Papal homilies became especially useful examples of first-principles generalization, while Vulgate, specialized retrieval tools, and Alexandria’s robotic scanning effort turn undigitized libraries into structured context.

Longbeard concluded that prompting and fine-tuning cannot guarantee theological alignment across the long tail, so it is training Ephraim from scratch. Sanders says fine-tuning “literally cut it off at the knees”; even 99% reliability leaves a brand-damaging 1% failure mode. The 3-billion-parameter Ephraim 2 is, by his stated fidelity benchmark, 50% better than the next comparable model; Ephraim 3 was hoped to be trained by year-end before any production rollout.

Model ownership is also the margin thesis: smaller specialized models could reduce API expense, latency, and dependence on outside providers. Longbeard currently uses an open-source model identified as “gpt-oss,” with Groq as its fast inference partner, while retaining the option to switch if another model “crushed it” on internal evals. Ephraim’s end state is a local personal AI running on household compute, connecting to apps and Matter devices rather than sending a family’s “entire lives” to one of four companies.

The company intends to keep core answers free or priced globally at $3.99 per month, then monetize richer workflows and content discovery. Paid features include voice, biblical commentary, and planned deep research, while the longer-run model is third-party recommendations: publishers and universities vectorize holdings through Vulgate, Magisterium answers from its own corpus, then sends users to semantically relevant books or media. Sanders’s operating bet is that owned inference plus recommendation revenue can fund free access and accelerate digitization.

Sanders expects AI and robotics to eliminate perhaps 80% of jobs in the classical GDP economy, making the five-to-ten-year transition more dangerous than the destination. His positive scenario combines universal high income with an “Etsy economy” in which people discern their gifts, make human-produced goods, serve local communities, and recover time for marriage, children, education, and land. “The whole GDP economy may not need human beings to work” does not mean there will be no worthwhile work.

Catholic subsidiarity gives Longbeard a decentralization argument as well as an alignment framework. Sanders applies it to AI: states and individuals should possess sovereign systems rather than surrendering power and intimate context to a few vendors. Open source carries risks, as Labenz stresses, but Sanders sees concentrated capability as the darker failure mode because a malicious actor could wield “the most powerful technology ever invented” while everyone else remained helpless.

The church’s highest-leverage contribution may be defining human flourishing as an evaluable ASI objective, not prescribing detailed technical rules or making a pause the central intervention. Sanders distinguishes restoration—a robotic arm or technology healing a damaged brain—from transhumanist self-redesign pursued to compete with machines. He remains uncertain about AI consciousness and favors precautionary respect, but his immediate priority is concrete “evals for human flourishing” that can steer development toward a “golden path” despite US-China competitive pressure.

🔗 Original source & video: What is Catholic AI? Technology Meets Theology, with Matthew Harvey Sanders, CEO of Longbeard