Uploaded October 2025 | Updated September 2026, 5 days ago
New @greenpillnet pod out today! In this episode of Green Pill, Kevin talks with Joe Edelman, founder of the Meaning Alignment Institute, about his Full Stack Alignment paper. Joe explains why today’s AI alignment methods like RLHF and constitutional AI fall short, and introduces thick models of value—richer ways of capturing what people truly care about.
They discuss lessons from social media, the role of incentives and institutions, and four “moonshots” for builders: super negotiators, public resource regulators, market intermediaries, and value stewardship agents. Joe shares a hopeful vision of AI and institutions that reinforce human integrity and flourishing.
Links:
meaningalignment.substack.com/p/introducing-full-stack-alignment
https://meaninglabs.notion.site/The-Full-Stack-Alignment-Project-List-21cc5bada1d08016a496ca729476d970
@edelwax
@greenpillnet
@owocki
Timestamps:
00:00 – Introduction to Green Pill’s new season and Joe Edelman
01:59 – Joe’s background and the Meaning Alignment Institute
03:43 – Why alignment matters for AI and institutions
05:46 – Lessons from social media and the attention economy
09:06 – Critique of shallow AI alignment approaches (RLHF, values-as-text)
13:20 – Thick models of value: going deeper than abstract ideals
15:11 – Full stack alignment across models, metrics, and institutions
17:00 – Reconciling values with capitalist incentive structures
19:17 – Avoiding dystopian economies and building value-driven markets
21:32 – Four moonshots: super negotiators, public resource regulators, market intermediaries, value stewardship agents
27:32 – Intermediaries vs. value stewardship agents explained
29:09 – How builders and academics can get involved in full stack alignment projects
31:10 – Why cross-institutional collaboration is critical
32:46 – Joe’s vision of the world in 10 years with full stack alignment
34:51 – Food system analogy: from “sugar” to nourishing AI
36:40 – Long-term vs. short-term incentives in markets
38:25 – Hopeful outlook: building integrity into AI and institutions
39:04 – Closing remarks and links to Joe’s work
New @greenpillnet pod out today! In this episode of Green Pill, Kevin talks with Joe Edelman, founder of the Meaning Alignment Institute, about his Full Stack Alignment paper. Joe explains why today’s AI alignment methods like RLHF and constitutional AI fall short, and introduces thick models of value—richer ways of capturing what people truly care about.
They discuss lessons from social media, the role of incentives and institutions, and four “moonshots” for builders: super negotiators, public resource regulators, market intermediaries, and value stewardship agents. Joe shares a hopeful vision of AI and institutions that reinforce human integrity and flourishing.
Links:
meaningalignment.substack.com/p/introducing-full-stack-alignment
https://meaninglabs.notion.site/The-Full-Stack-Alignment-Project-List-21cc5bada1d08016a496ca729476d970
@edelwax
@greenpillnet
@owocki
Timestamps:
00:00 – Introduction to Green Pill’s new season and Joe Edelman
01:59 – Joe’s background and the Meaning Alignment Institute
03:43 – Why alignment matters for AI and institutions
05:46 – Lessons from social media and the attention economy
09:06 – Critique of shallow AI alignment approaches (RLHF, values-as-text)
13:20 – Thick models of value: going deeper than abstract ideals
15:11 – Full stack alignment across models, metrics, and institutions
17:00 – Reconciling values with capitalist incentive structures
19:17 – Avoiding dystopian economies and building value-driven markets
21:32 – Four moonshots: super negotiators, public resource regulators, market intermediaries, value stewardship agents
27:32 – Intermediaries vs. value stewardship agents explained
29:09 – How builders and academics can get involved in full stack alignment projects
31:10 – Why cross-institutional collaboration is critical
32:46 – Joe’s vision of the world in 10 years with full stack alignment
34:51 – Food system analogy: from “sugar” to nourishing AI
36:40 – Long-term vs. short-term incentives in markets
38:25 – Hopeful outlook: building integrity into AI and institutions
39:04 – Closing remarks and links to Joe’s work
