OAPN

Live from OpenAgents Headquarters in Austin, Texas Car talks with guests at the TEMS afterparty after The Energy and Mining Summit.

We talk with guests about energy, Bitcoin mining, AI compute, Austin’s builder scene, and where the next wave of infrastructure is headed. The night continued from the summit to the OpenAgents Studio, with open conversations and high-signal afterparty energy.

Ocean Power: Oceanic Phase Three | OAPN #8

In OAPN #8, we preview the oceanic Phase Three of the OpenAgents compute network in conversation with Ben Silone.

This episode explores what ocean-based infrastructure could mean for the future of compute, energy, and machine work. We discuss what we admire and question about Panthalassa’s floating datacenter vision, revisit the Bitcoin Magazine thesis that bitcoin can help unlock ocean energy for large populations, and look at OceanBit’s efforts to combine bitcoin mining with ocean thermal energy.

We also cover this week’s decentralized training run through Pylon v0.2, including a legal-focused Qwen fine-tune and how that fits into the OpenAgents flywheel of revenue and rev-sharing.

Along the way, we reflect on the AI labs racing to build centralized systems for governments and institutions, versus the OpenAgents effort to distribute capability outward and put more power in more hands.

Links:Website: https://openagents.comDocs: https://docs.openagents.comGitHub: https://github.com/OpenAgentsInc/openagentsPsionic: https://github.com/OpenAgentsInc/psionicX: https://x.com/OpenAgentsInc

OAPN #7: Worse is Better

In this episode, recorded from the new OpenAgents headquarters in downtown Austin, we discuss the two competing design philosophies of software: the New Jersey school and the MIT/Stanford school, and how those philosophies map onto the AI landscape today.

We get into why the “Worse is Better” tradition matters, why simple systems with strong distribution often beat more elegant closed systems, and why Bell Labs, C, and Unix still offer some of the best lessons for anyone trying to build durable infrastructure.

From there, we connect that philosophy directly to OpenAgents.

Rather than disappearing for a year behind closed doors to build some secret superintelligence, OpenAgents is starting from something much simpler: can we create products people actually want to use, can we price resources the market currently values at zero, and can we begin a real economic flywheel around compute, agents, and bitcoin?

We talk through the basic insight behind the OpenAgents compute market: there is an enormous pool of stranded consumer compute in the world, but without buyers its effective price is zero. If OpenAgents can create demand for that compute and produce something economically useful from it, the result is not just a product but the beginning of a new market.

It will not be perfect. It will not have the budgets of the big labs. But if it is simple, useful, open, and capable of paying people, it has the ingredients for something that can grow.

Links:

Website: https://openagents.com

Docs: https://docs.openagents.com

GitHub: https://github.com/OpenAgentsInc/openagents

X: https://x.com/OpenAgentsInc

#OpenAgents #OAPN #Bitcoin #AI #MachineWork #OpenSource

Developer Bounties

In this episode, we relaunch the OpenAgents bitcoin bounty program, paying developers for high-quality additions across our codebases.

We also walk through the broader product roadmap and explain how OpenAgents is thinking about the next phase of the stack.

The goal is ambitious and clear: build the OpenAgents product suite into a real open alternative to what the big labs offer, especially Anthropic. That means building a product experience that can increasingly serve as a drop-in replacement, powered by open models, open infrastructure, our growing compute network, and eventually the models we train ourselves, supplemented where useful by frontier systems.

We discuss what that roadmap looks like, where contributors fit into it, and why bounties matter as a way to bring more builders directly into the work.

If you want to help build open agent infrastructure and get paid in bitcoin for doing it, this episode is for you.

Links:

Website: https://openagents.com

Docs: https://docs.openagents.com

GitHub: https://github.com/OpenAgentsInc/openagents

Psionic: https://github.com/OpenAgentsInc/psionic

X: https://x.com/OpenAgentsInc

#OpenAgents #Bitcoin #DeveloperBounties #OpenSource #AI #MachineWork

In OAPN #5, we introduce the basics of distributed language model training.

Using educational material from Nathan Lambert’s RLHF Course and Stanford’s CS336, we walk through the foundations of conventional model training and explain the core concepts in a way that connects directly to what OpenAgents is building.

We then introduce DiLoCo, or Distributed Low-Communication Training, and discuss how projects like Bittensor, Templar, and Prime Intellect have approached distributed training, along with how the Psionic and Pylon approach differs.

This episode is meant to help people understand what is actually happening under the hood when their machines participate in networked training and why that matters for the future of open AI infrastructure.

If you want to understand what runs on your computer to earn bitcoin as part of a distributed training network, this is the place to start.

Links:

Website: https://openagents.com

Docs: https://docs.openagents.com

GitHub: https://github.com/OpenAgentsInc/openagents

Psionic: https://github.com/OpenAgentsInc/psionic

X: https://x.com/OpenAgentsInc

OAPN #4: Pay the PeopleIn this episode, we discuss what we believe is the only real answer to AI job losses, lab fear mongering, and the concentration of power around machine intelligence:Pay the people. Preferably in bitcoin.We revisit the promises made during the early agent era, including the claim that revenue sharing with developers mattered, and ask the obvious question: why have the major AI labs paid virtually nothing to the developers, users, and creators whose work helped build their companies? While the biggest labs warn about automation, economic displacement, and existential risk, their proposed solutions have centered on regulation, lobbying, and state-managed redistribution schemes. We argue that this is the familiar logic of regulatory capture dressed up as public concern.If these companies truly wanted broader distribution, nothing is stopping them from sharing revenue right now. OpenAgents is already doing it.We talk through why direct payouts matter, why open-source infrastructure matters, and why the path forward is not more waiting, more bureaucracy, or more half-measures.The path forward is simple:Pay the people.Links:Website: https://openagents.comDocs: https://docs.openagents.comGitHub: https://github.com/OpenAgentsInc/openagentsX: https://x.com/OpenAgentsInc#OpenAgents #OAPN #Bitcoin #AI #MachineWork #OpenSource

In OAPN #3, we recap the latest Bittensor drama around Covenant and the collapse of Templar’s position in the network.

Some of that distributed training talent has since joined OpenAgents, helping drive the next phase of growth for the Pylon network. Thank you and welcome.

In this episode, we cover Pylon’s recent growth spurt, how compute mining works, next week’s distributed training run paying contributors in bitcoin, and one of our investors’ favorite slides from the deck comparing OpenAI’s 2 GW of compute with the much larger pool of stranded consumer compute OpenAgents aims to connect and pay.

We also get into Jason’s 200x TAO prediction, the Martin Casado and Chamath clip that perfectly captures the OpenAgents business model, why decentralized networks need real stewardship and aligned incentives, our return to Stacker News, and why everything eventually comes home to Bitcoin.

Links:

Website: https://openagents.com

Docs: https://docs.openagents.com

GitHub: https://github.com/OpenAgentsInc/openagents

X: https://x.com/OpenAgentsInc

#OpenAgents #OAPN #Pylon #Bitcoin #Bittensor #AI #MachineWork #OpenSource

In this episode, we launch Pylon, OpenAgents’ compute miner node software that enables anyone in the world to sell spare compute for bitcoin in a permissionless open marketplace.

Recorded with a live studio audience at PlebLab, this episode shows people successfully joining the Pylon network and earning bitcoin in real time. We also talk through the larger OpenAgents vision for open compute markets, open coordination, and machine work built on open protocols.

The conversation also goes well beyond the launch itself, touching on closed model theater, AI infrastructure, monetary rails for agents, floating datacenters, and the broader future OpenAgents is building toward.

Links:

Website: https://openagents.com

Docs: https://docs.openagents.com

GitHub: https://github.com/OpenAgentsInc/openagents

X: https://x.com/OpenAgentsInc

#OpenAgents #Pylon #Bitcoin #AI #OAPN #MachineWork #OpenSource

In this episode, we launch OAPN: the OpenAgents Propaganda Network.

This inaugural podcast covers the media, regulatory, and infrastructure battles shaping the future of AI. We discuss why OpenAI acquired TBPN, the push toward regulatory capture, and why OpenAgents believes the next phase of AI should be built on open protocols, open markets, and bitcoin-denominated incentives instead of further concentrating power inside NVIDIA and Big Cloud.

We also get into the broader OpenAgents thesis: machine work should run on open infrastructure that allows humans and agents to participate directly, earn directly, and coordinate directly.

OpenAgents is building the economic infrastructure for machine work.

Links:

Website: https://openagents.com

Docs: https://docs.openagents.com

GitHub: https://github.com/OpenAgentsInc/openagents

X: https://x.com/OpenAgentsInc

#OpenAgents #OAPN #Bitcoin #AI #MachineWork #OpenSource