Read the State of STORE | Summer 2025 (15-minute read, 12 visualizations): storecloud.org/state-of-stor…

This is why AI governance won’t work on the corporate level without a system that enforces it through the entire stack (hardware layer -> accounting layer -> application layer) in a way that protects the constitution. Nation states, corporates, small businesses, all of them will require finegrained control of automated enforcement on real time AI access and execution, that can be verified, have checks and balances and high speed coordination of governance, each having their own hierarchical constitution. Crypto was always supposed to be the foundational logic to this, and the math available is the foundational logic, but all protocols failed to realize for this to work they need to own and gamify from an optimized hardware layer up, with leaderless consensus, for it to work and none of them have been able to make this financially viable, cutting corners that led to some level of centralization and requiring centralized subsidized solutions, inevitably leading to economic demise. Those who can compose the full (governance, compute etc) stack with the correct incentives, could become the true new meta to revive crypto, especially considering the premium that can now be captured by creating a solution to remove friction on AI adoption, which largely relates to reliable governance configuration and enforcement. I have been saying this for nearly a decade. I hope to be correct, because it will move AI into a truly beneficial environment for all of humanity, not completely controlled by the biggest corporate stakeholders.

Community Update - June 12, 2026 The STORE Pay 3.0 micro test network is in progress. Thank you to everyone who participated. Transactions came in from Malaysia, Paraguay, France, Netherlands, Nigeria, and more. Real users, real payments, real feedback. Some of you hit delays and friction - we saw it, and your feedback matters. We're now synthesizing everything. Once we've worked through the results, we'll share what we learned, what's changing, and what we're improving. Then we'll release one final version of the test - with another 2,500 STORE for anyone who completes it. We're aiming for next week on this. What you're testing is more than a payment flow. STORE Pay is the foundation of CLEAR - our governed transaction protocol. Math-based. Machine-speed. Human-managed. Every transaction is verified, signed on-chain, and tied to a Cloud ID that anyone can check. That's not how payments work today. That's how they need to work as AI and economics collide. When intelligence starts moving money - when agents start executing financial decisions - humans need to be in the loop. Verifiably. Not by policy. By math. That's what you're helping us build. Keep the faith. We're close.

📢 ANNOUNCEMENT The STORE Pay 3.0 Micro Test Network is OPEN Run the real STORE Pay flow before wider launch. A closed test of the new STORE Identity hub on our first protocol, PAY. You run the full flow exactly as it works in production. No account needed to start. ✅ This is a test, not an investment. $1 USDC (or $10 by USD wire), about 10 minutes. 🔒 Every transaction is signed on-chain and checkable by anyone. 🎁 Earn 2,500 STORE complete a test purchase and submit the feedback form. ▶️ Start: storecloud.org/test-store-pa… 📋 Instructions: storecloud.org/store-pay-tes… ⏰ Deadline: Friday, June 12, 12:00 PM PST / 8:00 PM UTC. You have 24 hours once you begin. Find one thing that feels off, confusing, or wrong. That's the test.

Update: We continue to make progress on the R&D of Cloud Markets. It's the final piece of R&D to finalize before we can formally layer in full logic of checks and balances. To review an early version of the first specification, DM to join our private community review. We have several in it today and would like to grow this group to at least 5 community members. If you have knowledge and interest in capital markets, economics, nation state governance, federalism, and auction marketplaces, please join us. Reply with your interest. We'll DM to share registration details. The review will be a precursor to our larger public peer review on constitutional mathematics (same stack).

Math-based, machine-speed, human managed (verified) democracy is how we stay in control of AGI permanently. This is our research @thestorecloud - we've been deep on the issue since 2019.

Update: Major breakthrough on STORE Infrastructure costs for Markets. We've been working on this problem for several years and closed out the dynamic nature of pricing today. It'll help us finish our mServices technical specification for pricing. mServices = what STORE sells m = machine speed, math-based, human managed (governed) Amazon sells web services. STORE sells mServices.

Threshold-based democracy - the same one Hamilton helped us install in America and the same 2/3 threshold Leslie Lamport helped us understand for distributed systems security - is viable for staying in control of the full AI stack, from compute, to models, to agentic economies.

STORE: A massive endeavor taking its final shape before we are able to launch across two countries who will check and balance each other on the governance, economics, and intelligence of verifiable cloud computing and Democratic AI.

Update: We completed the unified transaction database - over 400 transactions across eight years, every element of the $STORE token economy - token sales, grants, token warrants, more - mapped to a 26-field compliance schema covering both the U.S. C-Corp and the prospective Swiss Association. That schema is next headed for review with DETOF, our Swiss finance team. Their latest review came back with substantive guidance on withholding tax, VAT treatment, social security, AML requirements, and Canton Zug filing structure. No blockers. We are implementing their feedback and the schema locks when that work is done.

Cracked it: the Democratic governance of Agentic Economies where, yes, the machines tithe, democracy strengthens, and capitalism prevails.

🪙 Until AI can be democratically governed, it won't be trusted.

We appreciate your long-term support. Math-based, machine speed, and human managed 2/3 democracy is how we stay in command of advanced intelligence. I don't see another way - at scale. We have a legitimate discovery here.

This is the most important piece on AI governance this year. You identified the exact problem. You identified why every proposed solution fails. Then you said you don't have an answer. There is one. The problem has three faces: 1. Private companies shouldn't hold kill switches on military infrastructure 2. Governments shouldn't have unchecked control over AI that enables mass surveillance 3. Regulation will be weaponized - 'catastrophic risk' means whatever the government wants Every solution you considered fails because it operates within two options: corporate governance or government regulation. There's a third option. Constitutional math at the protocol level. Not regulation. Not self-governance. Math - the same kind that runs TCP/IP. You don't regulate the internet by appointing someone to approve each packet. You run a protocol. The thresholds already exist. The Founders used 2/3 supermajority to prevent faction capture. Lamport proved the same threshold as Byzantine Fault Tolerance in 1982. Separated by 195 years. Same math. Same problem - distributed agreement under adversarial conditions. A deployment gate between any foundation model and the user. Eight constitutional checks derived from the actual Constitution - not a corporate constitution, not a regulatory agency. The thresholds are mathematical. A president can't redefine what 67% means. The checks are scored by ML and deterministic rules - not by political appointees interpreting vague terms. Your surveillance cost calculation is devastating. 100 million cameras. $30 billion today. $300 million by 2030. When surveillance costs less than a building renovation, the only protection is architectural. Constitutional checks that make surveillance outputs fail the governance pipeline before reaching an operator. Your deepest question - to whom should AI be aligned? The answer isn't the company, the state, or the AI's own moral sense. The answer is constitutional democratic governance, verified externally. The US Constitution has governed 330 million people for 237 years. Nobody needs to write a new one for AI. The existing one needs to be rendered executable. This avoids the weaponization trap. You wrote: 'model says tariff policy is misguided - that's deceptive, can't deploy it.' That requires a political appointee interpreting a vague term. Mathematical thresholds don't work that way. 67% is 67%. Nobody redefines it by executive order. The Petrov point matters most. When the boots on the ground are AI, human moral courage no longer saves us. The refusal mechanism has to be architectural - constitutional checks at the protocol level that fire before the AI acts. That's the Petrov mechanism for an AI civilization. The question isn't whether to regulate AI. It's whether to govern AI constitutionally - with math no president can redefine, no corporation can drop under competitive pressure, and any citizen can verify. This math exists. It's been running in production for eight years. $30 million governed democratically. Zero constitutional violations. The proof is operational, not theoretical. The race isn't to build the most powerful AI. It's to build the most trustworthy deployment of powerful AI. Trust compounds. Coercion doesn't. Happy to chat.

🎯 Update: Marking yesterday (~midnight) as the day we solved through the problem allowing us to solve through the final architecture of the STORE AI stack - across layers, structures, and branches. We'll be working on this through the weekend.

Anthropic dropping its RSP isn't a failure of character - it's a failure of structure. When the governed and the governor are the same entity, competitive pressure will always win. That's not unique to Anthropic. It will apply to every frontier lab. The real question isn't whether companies should self-regulate. It's whether we build an independent governance layer that companies CAN'T drop under pressure - constitutional constraints in a layer the governed entity can't modify. We need Anthropic. We need Claude in national security. But we also need democratic governance architecture where the trade-offs between safety and deployment are made through math, not market panic. Coordination, not capitulation. The alignment problem is a coordination problem. Today proved it.

Yesterday I saw a demo of a layer 2 AI model governed through a trust minimized and checks and balances governed API that lives at the hardware layer Democracy and enforcement at the machine layer 0, applied in a layer on top of existing models and blockchains, as a proof of concept Governance solutions will be key to prevent disastrous outcomes Heavily invested here on fixing that for humanity’s sake @thestorecloud

Update: We have an early implementation of the VERIFY protocol ready for testing inside STORE Pay. On-chain proofs of Long Storage are ready - cross-cloud communication and computation are finally here. We'll send the micro-test network out tomorrow.

Update: Our public launch dashboard is now live: storecloud.org/launch. We'll update this monthly, alongside our advisory calls. The world will be able to understand what we're working on and against from a research perspective, a regulatory perspective, and our work stream from a tax/IP transfer perspective - ultimately resulting in a STORE launch from Switzerland.