320. TBR - Big Noodle’s DePIN Infra | Decentralized AI Compute | Energy Into Intelligence (ft. SuperFan & Dr. Mien) episode artwork

EPISODE · Jun 27, 2026 · 1H 4M

320. TBR - Big Noodle’s DePIN Infra | Decentralized AI Compute | Energy Into Intelligence (ft. SuperFan & Dr. Mien)

from The Block Runner Crypto Podcast · host William and Iman

In Episode 320 of The Block Runner Podcast, hosts William, Iman, and TJ are joined by SuperFan and Dr. Mien of BigNoodle, the AI native art platform behind the Heroes collection that launched on the block pad. The guys trace BigNoodle's path from a Bitcoin Amsterdam hackathon and DMT inspired generative art to its next chapter: a decentralized AI compute network. The core thesis: Bitcoin turns energy into value, and Big Noodle wants to turn that same energy into intelligence. They dig into decentralized physical AI infrastructure, GPU and CPU boxes that aim to cut the cost of inference by as much as ninety percent, and compute as a brand new asset class in a world of data center power shortages and GPU scarcity. They also cover whether you can plug a frontier scale model into a distributed network, the mining style reward mechanism behind it, and their yield product called Bullion, where epoch based profit share lets you contribute a unit to a compute pool the way you would add to a DeFi pool. Plus why censorship resistant AI matters as the frontier labs start drawing political lines, and the sci fi units they minted for the NAT.fun hackathon. Disclosure: The hosts are founders of NAT.fun and hold positions in assets discussed. Nothing in this episode is financial advice. Watch the full episode on YouTube and subscribe to the newsletter at TheBlockRunner.com.

In Episode 320 of The Block Runner Podcast, hosts William, Iman, and TJ are joined by SuperFan and Dr. Mien of BigNoodle, the AI native art platform behind the Heroes collection that launched on the block pad. The guys trace BigNoodle's path from a Bitcoin Amsterdam hackathon and DMT inspired generative art to its next chapter: a decentralized AI compute network. The core thesis: Bitcoin turns energy into value, and Big Noodle wants to turn that same energy into intelligence. They dig into decentralized physical AI infrastructure, GPU and CPU boxes that aim to cut the cost of inference by as much as ninety percent, and compute as a brand new asset class in a world of data center power shortages and GPU scarcity. They also cover whether you can plug a frontier scale model into a distributed network, the mining style reward mechanism behind it, and their yield product called Bullion, where epoch based profit share lets you contribute a unit to a compute pool the way you would add to a DeFi pool. Plus why censorship resistant AI matters as the frontier labs start drawing political lines, and the sci fi units they minted for the NAT.fun hackathon. Disclosure: The hosts are founders of NAT.fun and hold positions in assets discussed. Nothing in this episode is financial advice. Watch the full episode on YouTube and subscribe to the newsletter at TheBlockRunner.com.

NOW PLAYING

320. TBR - Big Noodle’s DePIN Infra | Decentralized AI Compute | Energy Into Intelligence (ft. SuperFan & Dr. Mien)

0:00 1:04:54

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Frequently Asked Questions

How long is this episode of The Block Runner Crypto Podcast?

This episode is 1 hour and 4 minutes long.

When was this The Block Runner Crypto Podcast episode published?

This episode was published on June 27, 2026.

What is this episode about?

In Episode 320 of The Block Runner Podcast, hosts William, Iman, and TJ are joined by SuperFan and Dr. Mien of BigNoodle, the AI native art platform behind the Heroes collection that launched on the block pad. The guys trace BigNoodle's path from a...

Can I download this The Block Runner Crypto Podcast episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!