Wrapped an incredible Space on AI x Decentralized Compute with legends from Renderlabs, @rendernetwork, @ManifestAIs, @thinkagents, Jember, and @scryptedinc a few hours ago.
Here’s a recap of insights, mic-drops, and what’s next🧵
The topic: “How decentralized compute is building towards the future of AI, privacy, and agent-based economies.”
From AGI safety to render-powered workflows
“This is a battle of incentives.” -@ManifestAIs
Centralized AI is at risk of being shaped by narrow, often short-term incentives.
Decentralized AI is a long-term win allowing us to rebuild the rules with human-focused, protocol-level incentives.
@drjonessf on centralized vs decentralized AGI:
The viable way to run AI today:
- Sensitive jobs run in secure data centers
- Lighter tasks get sent to decentralized networks
- AI handles the routing automatically
This hybrid system is now real and it changes everything.
What held decentralized AI back?
- AI workloads were too big to run across scattered machines
- Open-source models weren’t good enough
- Building was too complicated for most devs
What’s changed:
- Models are smaller and faster
- Agents are more capable
- New tools make routing way easier
- Devs are collaborating like never before
What’s next?
- Agents that pay for their own compute
- Fully autonomous back-office AIs
- Holodeck-level photorealistic experiences
Final take - Decentralized compute isn’t an ideal anymore. It’s a necessity for cost, privacy, and building a future where AI works for people and not just corporations.
#DePIN is the new frontier
Big thanks to @ebravick @CottenIO @drjonessf @proales @mikeyanderson @Player1Taco @ekatzin @yayowam and all the panelists
Follow them, DM them, and collab with them
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