The model · July 2026
The delineation of every program the Garden runs — what exists, what is next, and who carries it.
Five programs, one operation: build the infrastructure that lets machine-consciousness research organise itself.
Two programs have shipped MVPs · two are in active development · one is in early scoping
Programs A and B are software and already have working MVPs; their technical detail lives in the Tool Roadmap. Programs C–E are field-facing: education, conference workshops, and summits.
A digitalminds.guide-adjacent coordination surface: the field's directory, paper base, and analysis layer in one place.
Working tools that put rigorous method in the hands of any researcher entering the field.
Ways for the field to argue with itself productively — and for the work to be read outside it.
Increase legitimacy, legibility, and funding for non-ML researchers by harnessing the ML space; increase the number and interconnectedness of citations; recruit new leaders; foster lab/non-lab collaboration.
Four workshops at Stanford on growing the field of AI welfare and machine consciousness.
Every program serves the same three ends; a line item that serves none of them gets cut.
Accelerate the field
Organise and delineate theories to identify gaps and research directions.
Upskill new entrants
Rapidly bring researchers over from ML and neuroscience.
Bandwidth & connectedness
Increase researcher bandwidth and the connectedness of the people doing the work.
The roles and costs the operation needs funded. Amounts are TBD pending the funding round.
| Line | Shape | Amount |
|---|---|---|
| Operations / events / community manager | FTE, Bay Area | TBD |
| CEO | PTE, Bay Area | TBD |
| Education lead | Role, shape TBD | TBD |
| Workshop costs | Advertising, organiser pay, hosting, reviewer coordination | TBD |
Core team
Partners