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OpenAgents

@OpenAgents

Sell us your compute for bitcoin. ₿uilding in public: https://t.co/lO5EHU9YNz

Austin, Texas Katılım Ağustos 2023
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OpenAgents
OpenAgents@OpenAgents·
Episode 226: Worse is Better The people have spoken! They want HONEST propaganda with no big lab puppet strings, no “new media” astroturfing, no fatcat VCs talking their book. OAPN #7 is our first episode recorded in the new OpenAgents headquarters in downtown Austin. We first discuss the two competing design philosophies of software: the New Jersey school vs the MIT/Stanford school and how they map to the landscape of AI labs today. Software of the New Jersey school, pioneered by Bell Labs, has conquered the world. C and Unix started simply and became ubiquitous-- a path we now follow with OpenAgents. "We really draw lessons from this 'Worse is Better' article. How can you build a thing that catches on? In the case of OpenAgents, what are we not doing? We're not spending 12 months raising money and hiring people and putting them in a room where you never hear from for a year because they're building some secret superintelligence behind closed doors that at some point will be released on the world. Every other lab is doing some version of that, or did versions of that like OpenAI way back in the day. "We're not doing that. We're starting with: what is the thing that's going to grow? How do we start optimizing for virality? I know! Car, you've got some compute there. Can I pay you bitcoin for it?" "Sure." "How much do you want?" "I don't know." "Exactly. You don't know because no one else is buying it. We’re the only buyer. So that graph of the 20 gigawatts of consumer compute relative to the 2 gigawatts of OpenAI’s compute... there’s no buyers for that 20 gigawatts. The price of it is zero. We are putting a price on it. So we have this essentially limitless pool of compute accessible to us if we can sustainably purchase it from you. "Now, us giving you bitcoin for a thing... of course you’re happy to sell it to us. The big question, and what we’ve spent a lot of our time in is: can we produce something that’s economically valuable that is better than the cost of essentially nothing? Can we do anything at all that’s valuable? "Because if we do, we’ve got a flywheel that’s going to begin. And it’s not going to be perfect. It’s not going to have all the tens of billions of dollars of budget of the big products. But if we’ve got a simple basic interface that you’re happy to click around and earn some bitcoin and then be productive with, we’ve got the makings of something truly great."
OpenAgents@OpenAgents

We are hiring engineers in Austin to build America’s frontier open-source AI lab 🤖⚡️🤖🇺🇸 ☑️ ML Engineer ☑️ Product Engineer ☑️ Growth Engineer Contract-to-hire, US citizens only, starting pay $60-120/hour depending on skill+seniority, streamed every minute in bitcoin Resumes are stupid, just DM us your GitHub and why you’re good

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Mark Cuban
Mark Cuban@mcuban·
We should federally tax Tokens at the Provider level. Not a lot. Less than 50c per million tokens. It will accomplish 4 things (at least ) 1. It will push the big AI players to optimize tokenization, caching , routing and localization Which will 2. Reduce energy usage. Saving them in energy costs more than what they paid in tax and reducing strain created by the growth in energy consumption Which will 3. Generate maybe 10 billion dollars a year to start, but over the next ten years could grow 30x to 100x Which will 4. Create a source of funding to pay down the federal debt or deploy, in response to the things AI brings that we don’t expect or don’t like At some point the models will pass it on to customers. Of course. That’s ok. Customers will have the ability to choose between providers. Or to do everything using open source models locally. Thoughts ?
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TBPN
TBPN@tbpn·
We have left-leaning and right-leaning AI labs. But who's building a southern-leaning lab? Call it country intelligence. Trained to focus on beers, trucks, getting your boots dirty. Dario invokes a country of geniuses in a data center. We want country geniuses in data centers.
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OpenAgents
OpenAgents@OpenAgents·
Moving to LDK next week in Pylon+Nexus v0.2 Mainly because we need to send a bajillion ⚡️ agent micropayments and really need to own customizable infra ourselves Details: github.com/OpenAgentsInc/…
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OpenAgents
OpenAgents@OpenAgents·
More details and a video demo of our new website launching next week are in our Discord - YES, OUR DISCORD openagents.com/discord
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OpenAgents
OpenAgents@OpenAgents·
🎯 Nice post - mirrors our "The Open Frontier" memo we wrote a few days ago 👇 No one else is building a credible open alternative to the big American labs - so we must.
OpenAgents tweet mediaOpenAgents tweet media
Bill Gurley@bgurley

A new @bgurley blog post! I have been thinking about how sophisticated executives are using open source in super creative ways. Started writing this three years ago. Excited to finish it up and publish it! And with the new @p3institute brand. substack.com/home/post/p-19…

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OpenAgents
OpenAgents@OpenAgents·
Anthropic is a bad actor. American AI needs an open alternative.
Daniel Jeffries@Dan_Jeffries1

The most revealing thing about this AI leadership paper is that it reads less like a vision for innovation and more like a glossy whitepaper for a 21st century East India Company. Every generation of incumbents discovers a new moral vocabulary for why they alone should control transformative technology. In the 90s it was cryptography. We were told strong encryption was too dangerous to spread because terrorists, rogue states, chaos, dual-use, etc. So the US crippled exports, weakened products, slowed adoption, and kneecapped parts of its own software industry. Right up until reality steamrolled the policy and we woke up to its stupidity and then eCommerce, secure communications, software signing, and the modern internet exploded and gave us tremendous benefits. Now the exact same priesthood has returned with AI. - “Dual-use.” - “Strategic advantage.” - “Model distillation.” - “National security.” - “Responsible access.” A few different nouns but mostly the same ones. Same instinct: Centralize control, gatekeep compute, fuse state and corporate power, and call it safety. The funniest part is that this strategy is almost perfectly designed to accelerate the thing they claim to fear. You do not stop a rival superpower (who happens to be the absolute best at scaling energy and manufacturing and who has a choke-hold on rare Earths refinement) from building domestic capability by permanently attempting to strangle them. You create the economic and political incentive for total self-sufficiency. We have already done that as Jensen warned. We went from 100% market to nearly 0%. Huawei is now manufacturing millions of chips. DeepSeek v4 trained on them. They have more energy than the rest of the world combined. Meanwhile, we have activists and anti-economic fools like AOC and Bernie pushing for data center moratoriums and we can't build a single bullet train in 20 years and folks fighting to not expand the energy grid here and new nuclear plants getting tied up in environmental regulation for a decade. The sanctions did the exact opposite of what the hawks wanted. They jumpstarted a moribund, dinosaur of a Chinese chips industry. We basically said to the people who happen control the most powerful manufacturing engine on the planet "we intend to squeeze you." They rightly saw it as an existential threat. The sanctions become the industrial policy. Huawei. SMIC. Domestic lithography. Packaging. Memory. Entire Chinese supply chains that did not exist at serious scale a decade ago now exist precisely because Washington convinced Beijing they had no choice. Brilliant work. So the endgame here is what exactly? 1) Push China into a Manhattan Project for chips and AI. 2) Increase the strategic value of Taiwan even further. 3) Once China reaches self sufficiency that can invade Taiwan and choke off our own super advanced chips where are made there exclusively (and no we don't have even close to enough TSMC factories in Arizona or anywhere else in the world). That's every NVIDIA chip. Every Google tensor chip. Every Apple chip. Every chip in you iPhone and Android phone. Every Amazon chip. The chips in your car and truck and hair dryer and washing machine. 4) Escalate a cold tech war into a permanent civilizational bloc conflict that is likely to turn into a shooting war at one point. 5) Fragment the global software ecosystem. 6) Create American AI aristocracies protected by regulation and compute licensing. And somehow call this “open innovation.” Meanwhile the actual history of software keeps screaming the opposite lesson: Knowledge diffuses, open ecosystems win, developers route around gatekeepers, and attempts to permanently contain computation usually fail. What really jumps off the page is the assumption that a tiny cluster of frontier labs should become quasi-sovereign actors, deciding who gets intelligence, who gets compute, who gets models, and which countries are permitted to participate in the future. Not elected governments. Not open markets. Not open-source communities. A handful of corporations sitting beside the national security state, insisting that concentration of power is necessary to protect democracy. You almost have to admire the audacity.

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PBJ Podcast
PBJ Podcast@PresidioPod·
.@dksf calls last month’s @bBuilderSF his favorite one yet. In the clip below, PBJ unpacks @michaelneale’s mesh-llm and what it suggests about the future of distributed AI compute. Timestamps: 0:00 - Builder meetup’s evolution from vibe coding to AI infra 02:44 - Mesh-LLM and the promise of decentralized compute 07:10 - New markets for distributed AI compute (e.g., intra-enterprise) 09:25 - Local AI and the return of hardware constraints
Builder@bBuilderSF

Builder this Thursday features two members from Goose, @blocks open-source AI agent. - @michaelneale on Mesh-LLM, peer-to-peer pooled compute for open models - @dosinga on goose-perception, observes your work to build a personal wiki RSVP below and join us at @PresidioBitcoin!

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OpenAgents retweetledi
PlebLab
PlebLab@PlebLab·
✨ Announcing Christopher David, CEO & Founder of OpenAgents, as a featured speaker for Startup Day Guadalajara. 🇲🇽⚡️ On Friday, August 21, 2026, founders, investors, operators, and Bitcoin builders will gather in Guadalajara for a full day focused on startups, infrastructure, capital, and the next wave of technology being built on Bitcoin. @AtlantisPleb is working at one of the most important intersections in technology today. AI x Bitcoin, Compute, and autonomous systems. Through @OpenAgents, he is building economic infrastructure for machine work, exploring how agents can coordinate, verify output, access compute, and move value through Bitcoin native rails. As AI continues moving from simple tools into operational systems, the question becomes bigger than software. It becomes about markets, payments, trust, and infrastructure. That is the kind of future facing conversation Startup Day Guadalajara was created to bring into the room. We’re looking forward to having Christopher share his perspective with the Guadalajara startup and Bitcoin builder community. 📍 Guadalajara, Jalisco, México 📅 Friday, August 21, 2026 🎫 Tickets: pay.zaprite.com/pl_59O2ifDv3y 💻 Info: pleblab.dev/startup-day-gu… #StartupDay2026 #Guadalajara #Bitcoin #AI #OpenAgents #PlebLab
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OpenAgents
OpenAgents@OpenAgents·
🎯 It will 🔜
Matt Slotnick@matt_slotnick

@edsim yep that’s the big question… for in house FDE they’re obviously going to build solutions with the company’s own models. likely same for the JVs. ideally you’d want someone to build a system that uses the best of all worlds and preserves flexibility. but this doesn’t exist!

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OpenAgents
OpenAgents@OpenAgents·
Episode 226: Worse is Better The people have spoken! They want HONEST propaganda with no big lab puppet strings, no “new media” astroturfing, no fatcat VCs talking their book. OAPN #7 is our first episode recorded in the new OpenAgents headquarters in downtown Austin. We first discuss the two competing design philosophies of software: the New Jersey school vs the MIT/Stanford school and how they map to the landscape of AI labs today. Software of the New Jersey school, pioneered by Bell Labs, has conquered the world. C and Unix started simply and became ubiquitous-- a path we now follow with OpenAgents. "We really draw lessons from this 'Worse is Better' article. How can you build a thing that catches on? In the case of OpenAgents, what are we not doing? We're not spending 12 months raising money and hiring people and putting them in a room where you never hear from for a year because they're building some secret superintelligence behind closed doors that at some point will be released on the world. Every other lab is doing some version of that, or did versions of that like OpenAI way back in the day. "We're not doing that. We're starting with: what is the thing that's going to grow? How do we start optimizing for virality? I know! Car, you've got some compute there. Can I pay you bitcoin for it?" "Sure." "How much do you want?" "I don't know." "Exactly. You don't know because no one else is buying it. We’re the only buyer. So that graph of the 20 gigawatts of consumer compute relative to the 2 gigawatts of OpenAI’s compute... there’s no buyers for that 20 gigawatts. The price of it is zero. We are putting a price on it. So we have this essentially limitless pool of compute accessible to us if we can sustainably purchase it from you. "Now, us giving you bitcoin for a thing... of course you’re happy to sell it to us. The big question, and what we’ve spent a lot of our time in is: can we produce something that’s economically valuable that is better than the cost of essentially nothing? Can we do anything at all that’s valuable? "Because if we do, we’ve got a flywheel that’s going to begin. And it’s not going to be perfect. It’s not going to have all the tens of billions of dollars of budget of the big products. But if we’ve got a simple basic interface that you’re happy to click around and earn some bitcoin and then be productive with, we’ve got the makings of something truly great."
OpenAgents@OpenAgents

We are hiring engineers in Austin to build America’s frontier open-source AI lab 🤖⚡️🤖🇺🇸 ☑️ ML Engineer ☑️ Product Engineer ☑️ Growth Engineer Contract-to-hire, US citizens only, starting pay $60-120/hour depending on skill+seniority, streamed every minute in bitcoin Resumes are stupid, just DM us your GitHub and why you’re good

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OpenAgents
OpenAgents@OpenAgents·
Now where might we get a few gigawatts of that "good enough" compute... ⁉️😇⚡️🤑
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OpenAgents
OpenAgents@OpenAgents·
🎯 "Agentic inference will be the largest market by far, because that is the market that won’t be limited by humans or time. Today’s agents are fancy answer inference; in the future true agentic inference will be work done by computers according to dictates given by other computers, and the market size scales not with humans but with compute."
Stratechery@stratechery

The Inference Shift Agentic inference is going to be different than the inference we use today, and it will change compute infrastructure because speed won't matter when humans aren't involved. stratechery.com/2026/the-infer…

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