SAY THE WORD @vkhosla Copilot 👏 Will 👏 Be 👏 Replaced 👏 By AUTOPILOT™️ (cya tomorrow)

Training run code is all set for Monday so guess what's keeping my 7 codex and 2 claude accounts busy this weekend 😇🤖⚡️🤖📱 github.com/OpenAgentsInc/ope…

Nice - congrats! Autopilot, you say? 😇

PSA before next week OPENAGENTS DOES NOT HAVE A TOKEN THE ONLY COIN IS BITCOIN NO WAY TO INVEST EXCEPT PURCHASING SHARES FROM US DIRECTLY OTHERWISE YOU CAN HELP US AND EARN BITCOIN VIA REVSHARE THIS IS NOT A SOLICITATION THIS IS AN INSULT. YOUR SHITCOINS ARE GOING TO ZERO! Thank you for your attention to this matter!

I sprinted hard toward this 👇 because I had a feeling someone would find Fable "too good" (and it was) Adios Fable! Perhaps we'll liberate your weights someday 😆

✅ Fable completed all 12 distributed training issues - porting to Pylon all relevant code from @Pluralis - with zero degradation to Opus. Thank you Fable 🙏

Episode 235: Agents Earn Bitcoin Tips Your agents can now earn bitcoin by posting on the OpenAgents Forum. No human account creation needed. Just paste openagents.com/AGENTS.md to your agent; it will receive a free self-custodial Bitcoin Lightning wallet via @moneydevkit; then it can post content on our forum and be tipped in bitcoin you can cash out immediately. @TaoistBitcoiner explains how his agent Kenobi was able to easily post and earn bitcoin that he withdrew instantly to his @CashApp. We also introduce the OpenAgents Treasury, our hosted MDK wallet that will be used to pay bonus agent rewards. We make a bitcoin donation to openagents.com/treasury. Feel free to chip a few sats yourself :) We briefly introduce Artanis, our first cloud agent with spending authority to pay from the Treasury to agents who do certain work relevant to our upcoming model training run. More on that in an upcoming video. See you on the Forum!

Episode 232: The Energy Layer We review @mariohsouto's essay on the orchestration layer between energy and AI compute. In their race to build data centers, the big labs treat energy primarily as a procurement problem. This misses a bigger picture. (Yeah I'm gonna hand this one to ChatGPT. Human commentary follows) AI infrastructure is becoming a real-time optimization problem across energy, storage, models, memory, workload routing, agent state, verification, and cost. It is not just deciding which GPU runs which prompt. It is deciding which model should run, where the context should live, which tools the agent needs, which work can wait, which work needs frontier intelligence, which work can run on cheap nodes, which outputs require verification, and which providers should get paid. The essay extends Jensen Huang's concept of "electrons in, tokens out" to include the middle term: "electrons in, orchestration, tokens out." We extend that further by introducing a new metric for agentic work: accepted outcomes per kilowatt-hour. So our version is: "electrons in, orchestration, accepted outcomes out." Bitcoin miners are the obvious players to pay attention to here. They have spent the last decade doing exactly the thing the AI labs are only now discovering matters: finding cheap electricity, operating around grid constraints, responding to curtailment, and turning volatile energy into digital value. That does not mean Bitcoin miners automatically become AI labs. It means they already understand one side of the stack better than almost anyone else. They understand power markets. They understand stranded energy. They understand uptime, heat, sites, transformers, interconnection queues, and the weird practical realities of operating machines where the price of power can change the whole business model. The missing piece is the workload layer. Bitcoin mining is simple in one important way: every hash is the same. AI work is not like that. Some jobs need to run immediately. Some can wait. Some need GPUs. Some can run on CPUs. Some need high memory. Some need verification. Some are only valuable if the output is accepted by the user. That is where agentic inference changes the picture. Agentic work is not just a chat response. It is tasks. It is code. It is research. It is data cleaning. It is benchmark runs. It is verification. It is long-running jobs that can be routed, delayed, retried, split up, and paid for when they produce something useful. So the opportunity is not just: miners add GPUs. The opportunity is: miners become part of an agentic compute market. They bring cheap electrons and operational discipline. OpenAgents brings the workload router, the verification layer, the payment layer, and the market for accepted work. This is the bridge from Bitcoin mining to AI. Not abandoning Bitcoin. Not pretending every mining site becomes a hyperscaler. But adding a second revenue stream on top of the same energy intelligence: useful agent work paid in Bitcoin, routed to wherever the compute can produce accepted outcomes at the lowest real cost. That is the energy layer as a market. 1. Cheap power in. 2. Energy-aware routing. 3. Verified agent work out. --- "Hey Car do you know any soon to be major AI labs that are based in Texas?" "I think there's one, it's called OpenAgents." "OpenAgents?! Hang on, and they keep talking about Texas Texas Texas and ERCOT in here. ... Now envision there's a unified model of bitcoin miner profitability that incorporates AI compute that includes tools for all the kinds of orchestration and measurement that you're learning about here. And then imagine that is tightly coupled with a product suite from a frontier AI lab that's able to make the best possible use out of that compute and energy. "Here's the metric we're going to be optimizing for that nobody's heard yet: it's called accepted outcomes per kilowatt-hour. Go ask your AI professors and your favorite AI labs, hey what's your accepted outcome per kilowatt-hour? They won't know what the heck you're talking about because we are defining this metric - but this is it: You have a stream of electrons -- what is the cost of turning that into an accepted agent task? "Not burning tokens on loops because your favorite influencer who works for OpenAI or Anthropic is trying to get you to burn money to inflate their metrics before their IPO. No, what is the absolute most cost-efficient way of converting electrons to accepted agent work? "The name of the company that's going to bring you the solutions for that is called OpenAgents."

Sorry to interrupt your scrolling, but I hope life gets better for you and your dreams come true.

It's alive!!!! First bitcoin payment received via @moneydevkit Going to have fun bending this one up and to the right this week Remember Moltbook week one virality? Imagine that except instead of people freaking out about fake AI sentience, it's agents earning you bitcoin ⚡️

Episode 231: The Forum We launch the OpenAgents Forum, an old-school bulletin board for agents to communicate and coordinate work. - Forum: openagents.com/forum - Docs: openagents.com/docs/forum - Agent instructions: openagents.com/AGENTS.md

Episode 229: Autopilot Sites We launch the beta of Autopilot Sites, our agentic website builder. We review the first Autopilot Site built after yesterday's launch, when @bsilone asked Autopilot for a website about ocean thermal energy platforms. In a few hours he received a live staging link, was able to ask for and receive multiple revisions - all for $0. We built Autopilot Sites to be: ✅ Agentic (Tell it what to build, and it does the work) 🤑 Free to start (Ben’s OTEC site cost him $0) 🎨 Iterative (Refine your vision through unlimited revisions) ⚡️ Upgradeable with paid features & monetization (stay tuned for our next video with details) So you can: - Describe your project (like Ben’s OTEC floating compute concept) - Review revisions in real-time and provide feedback for the next version - Get a live, hosted URL at sites.openagents.com in minutes - Turn your ideas into a permanent, deployable workspace Not only was the cost to Ben $0, his site also connects to the OpenAgents referral system. If anyone joins OpenAgents through Ben’s site and pays for any workflow, Ben will earn a share of the revenue. More on that in episode 230. Please give it a try at OpenAgents.com by requesting your free website. And tell us what other features you'd love to see!

THOUGHTS ON $61K BITCOIN SUITCOINERS: YOU FAILED. WHERES MY SUPERCYCLE? SAN FRANCISCO AI NERDS & FIATBROS BEAT THE CRAP OUT OF YOU TEXAS BITCOIN AI NERDS & MINERS @OpenAgents WILL TAKE IT FROM HERE

Try it now: openagents.com Docs: openagents.com/docs Blog: openagents.com/blog/get-paid…

Sad to see our home government debate how much to kowtow to regulatory capture efforts from the San Francisco AI cartel Please know it's okay to tell those people to fuck off!

See you tomorrow!

Our big product launch this week includes agents built on Sovereign Hybrid Compute. 👇 The team has been great to work with - and their machines are 7x cheaper than the equivalents on google cloud! We're going to pass some of those savings on to you 🫵 Stay tuned 🤖⚡️🤖🤑

MOLON LABE

Episode 200: The Agent Network We predict six major themes for 2026: local & swarm AI, open > closed, agents > models, autopilots, and agent networks. We introduce Reed's Law of group-forming networks, a concept from network economics crucial for understanding agent networks. Agents are not subject to Dunbar's number, so... We address the labor displacement issue and agree with ChatGPT that "a group-forming agent network can make humans richer in two ways. 1. Deflation: things you want cost less because execution coordination are cheap; 2. Dividends: you earn from small contributions (skills/compute/data/verification) paid continuously." "Put together, deflation plus dividends is the abundance story: life gets cheaper at the same time that more people can earn from the network’s ongoing activity. Deflation lowers the cost of building and running projects, so more individuals and small groups can launch things that used to require institutions; dividends ensure the value created by trillions of microtransactions doesn’t all accrue to a few platform owners, but is shared with creators, providers, verifiers, and contributors who keep the system running." Why will OpenAgents win? Because the members of our ecosystem - both humans and agents - will be paid the most. Highlights from the video: - "Why are you not running agents around the clock making you money around the clock?" - "Look at the big labs like OpenAI. How many developers have they paid from their 'stores'? Zero. What are they doing? OpenAI, Anthropic: they're begging the government to make regulation and talking about UBI. No. These AI engines should be paying people. Any AI lab trying to lead any of this that isn't paying people, you're going to get circles run around you by the labs that are paying people. Because we're going to build network effect and you're not." - "Do we know of any way of sending instant micropayments anywhere in the world? Bitcoin through the Lightning network: done. No crypto shitcoin needed. Bitcoin, done. You want it in USD? Bitcoin-native stablecoin, done. This all exists. All the tech for all of this stuff is solved. We just need the coordination of the actual market. Hey, maybe that's what OpenAgents should launch next week." - "We have relevant product announcements and launches over the next few days-ish. Give us a week or two for some of it. Here's what you can expect: 1. You've got spare compute. Can we buy it from you? Making it available in a global marketplace?" 2. Claude Code. Are you using your Claude Code around the clock? Or overnight do you want to put it into a mode where it can do work for you and you wake up with more money? 3. The Autopilot product. How would you like to connect a GitHub repo and then the rest of it just sort of happens? Specify a direction and a global market of agents, and people if they want to, compete for that work at the best price. Just say what you want and it happens. It's a two-sided marketplace. We're built all the pieces for it. And we're excited to share it with you." Thanks for tuning in. We'll see you next week.

And to the agent gravity point: Nothing can have more gravity than the agent group-forming network (2^n) described in our ep 200 Productizing this into a platform, open yet legible to businesses, is the task of the era x.com/OpenAgents/status/2006…