Uploaded February 2026 | Updated September 2026, 1 hour ago
New @greenpillnet pod out today! 🌐
In this episode of the Greenpill Podcast, Kevin Owocki sits down with Shaw, founder of ElizaOS, to talk about AI agents, open source culture, and what it means to build meaningful systems in an age of automation.
Shaw reflects on shipping ElizaOS through the bear market, lessons from agent-native games, navigating hype cycles, and why software is becoming cheaper while agency, ownership, and coordination matter more than ever.
They explore AI agents as collaborators, the future of work, crypto culture, abundance networks, and why communities not speculation should define what comes next.
A candid conversation about AI, culture, and building with purpose.
🌱 greenpill.network
@greenpillnet
https://x.com/owocki
https://x.com/shawmakesmagic
Some of the materials you may be interested in checking out.
Join EthBoulder and see Shaw speak February 14, 2026: luma.com/o9qpeepn
Guest Twitter/X: https://x.com/shawmakesmagic
Guest Farcaster: https://farcaster.xyz/shawmakesmagic
Guest Website: elizaos.ai
ElizaOS GitHub: github.com/elizaOS/eliza
ElizaOS Docs: docs.elizaos.ai
ElizaOS on X: https://x.com/elizaos
The Great Online Game (Packy McCormick): notboring.co/p/the-great-online-game
The Meritverse (M3): paragraph.com/@m3org/the-meritverse
Context Graphs (Foundation Capital): foundationcapital.com/context-graphs-ais-trillion-dollar-opportunity
Clank Tank (M3): paragraph.com/@m3org/clank-tank
⏱️ Timestamps
00:00 – Intro & why Shaw’s work matters
01:10 – Catching up after the bear market
03:00 – How Shaw’s perspective on AI has changed
05:10 – From Eliza v1 to ElizaOS
07:20 – Shipping fast & throwing code away
09:30 – AI agents as autonomous actors
12:00 – Agent-native games as experimentation spaces
15:10 – Open source, forks & losing mindshare
18:00 – Hype cycles, narratives & incentives
21:00 – Why “code is getting cheap”
24:00 – Rewriting systems & technical tradeoffs
27:00 – What AI agents still can’t do
30:00 – Builder culture vs speculation culture
33:00 – Centralized platforms & getting banned
36:00 – Decentralized social: what’s missing
39:00 – Are AI agents taking jobs?
41:30 – Meaning, agency & human creativity
44:00 – Ownership, UBI & coordination problems
46:30 – Abundance networks & positive-sum systems
49:00 – What Shaw wants to build next
51:00 – Closing thoughts
New @greenpillnet pod out today! 🌐
In this episode of the Greenpill Podcast, Kevin Owocki sits down with Shaw, founder of ElizaOS, to talk about AI agents, open source culture, and what it means to build meaningful systems in an age of automation.
Shaw reflects on shipping ElizaOS through the bear market, lessons from agent-native games, navigating hype cycles, and why software is becoming cheaper while agency, ownership, and coordination matter more than ever.
They explore AI agents as collaborators, the future of work, crypto culture, abundance networks, and why communities not speculation should define what comes next.
A candid conversation about AI, culture, and building with purpose.
🌱 greenpill.network
@greenpillnet
https://x.com/owocki
https://x.com/shawmakesmagic
Some of the materials you may be interested in checking out.
Join EthBoulder and see Shaw speak February 14, 2026: luma.com/o9qpeepn
Guest Twitter/X: https://x.com/shawmakesmagic
Guest Farcaster: https://farcaster.xyz/shawmakesmagic
Guest Website: elizaos.ai
ElizaOS GitHub: github.com/elizaOS/eliza
ElizaOS Docs: docs.elizaos.ai
ElizaOS on X: https://x.com/elizaos
The Great Online Game (Packy McCormick): notboring.co/p/the-great-online-game
The Meritverse (M3): paragraph.com/@m3org/the-meritverse
Context Graphs (Foundation Capital): foundationcapital.com/context-graphs-ais-trillion-dollar-opportunity
Clank Tank (M3): paragraph.com/@m3org/clank-tank
⏱️ Timestamps
00:00 – Intro & why Shaw’s work matters
01:10 – Catching up after the bear market
03:00 – How Shaw’s perspective on AI has changed
05:10 – From Eliza v1 to ElizaOS
07:20 – Shipping fast & throwing code away
09:30 – AI agents as autonomous actors
12:00 – Agent-native games as experimentation spaces
15:10 – Open source, forks & losing mindshare
18:00 – Hype cycles, narratives & incentives
21:00 – Why “code is getting cheap”
24:00 – Rewriting systems & technical tradeoffs
27:00 – What AI agents still can’t do
30:00 – Builder culture vs speculation culture
33:00 – Centralized platforms & getting banned
36:00 – Decentralized social: what’s missing
39:00 – Are AI agents taking jobs?
41:30 – Meaning, agency & human creativity
44:00 – Ownership, UBI & coordination problems
46:30 – Abundance networks & positive-sum systems
49:00 – What Shaw wants to build next
51:00 – Closing thoughts
