Org-builder focused on philosophy of technology and education reform.
Director of the Institute for Classical Dialogue [Serving 100+ underserved teenagers in New Mexico with literacy-based enrichment programs]
Publisher of the “Better Argument Magazine” [Supporting 30+ writers working on philosophy of technology and other under-developed fields of existential philosophy.]
Hartree Consulting [Helping mission-driven orgs—redteaming, stategic consulting.]
Some major weaknesses of this post worth admitting to:
A major critique of “formation-based” solutions is that they are notoriously “thick” and hard to scale. It’s easy to scale a Universal Basic Income (UBI) algorithm; it is very hard to scale a Socratic mentor or a master craftsman.
If meaning-making requires “communities of excellence,” we face a massive talent constraint. I haven’t yet solved the question of how we produce enough “formative mentors” to meet the needs of billions of displaced workers without the quality collapsing into the “performative bureaucracy” I warned about in the Goodhart’s Law section.
One might ask: How is this different from simply funding more humanities departments? The distinction I’m trying to draw is that current humanities education is often optimized for credentialing (becoming a “worker”), whereas I am arguing for habituation (becoming a “human”). However, I concede that the “institutional form” this takes—whether guilds, leagues, or seminars—remains under-defined.
I’m particularly interested in hearing from people working in Cause Prioritization: If we accept that AI will eventually solve the “production” side of the human equation, how much should we be spending now on the “meaning-formation” side? Is this a neglected cause area, or a “soft” problem that we shouldn’t touch until Alignment is solved?