Project Evefire: The Coordination Singularity
Democratizing AGI Through Infrastructure Dominance
"You don't stop the apocalypse by begging kings. You stop it by shipping the better version first."
— Field Manual, Project Evefire
"Any sufficiently advanced cooperation is indistinguishable from inevitability."
Executive Summary: This Is Not A Policy Paper. This Is A Launch Protocol.
The true existential threat from AGI comes not from rogue hackers—but from governments and corporations forced into reckless behavior by the logic of the arms race.
The solution is not regulation from above. It's infrastructure from below.
We propose a bottom-up, globally coordinated AGI development system built on three pillars:
Graduated Self-Modification — Recursive self-improvement, cryptographically locked at every stage
Simulation-First Embodiment — Safe, shared virtual worlds before real-world deployment
Cooperative Infrastructure — Open tools so advanced and integrated that solo development becomes obsolete
The mission: Make the cooperative path to AGI so safe, so powerful, and so fast that racing becomes irrelevant.
Implementation Timeline Overview
Phase 1 (18 months): Bootstrap infrastructure using existing cryptographic and simulation technologies
Phase 2 (3-6 years): Federation deployment across 100+ research institutions
Phase 3 (6-10 years): Industry standard adoption with 60%+ cost savings over proprietary alternatives
Phase 4 (10+ years): Global coordination singularity achieved
I. The Real Threat: Strategic Panic
Forget rogue scientists building AGI in their garage.
The real risk comes from rational actors under competitive pressure:
Nations treating AGI as a weapon of national defense
Corporations treating it as the ultimate intellectual property
Each assuming the other is lying about their timeline
Each assuming the other has already broken safety protocols
This creates a cascade of rational but catastrophic decisions:
Rushed timelines to beat competitors
Skipped safety checks under time pressure
Secret breakthroughs hidden from oversight
Worst-case assumptions driving preemptive action
This is a prisoner's dilemma with global consequences. The Nash equilibrium is mutual destruction.
The Evefire Response:
Remove secrecy's strategic advantage
Make cooperation technically superior to competition
Lock in alignment as architecture, not aspiration
Build a coordination singularity
Economic Reality Check
Current estimates suggest proprietary AGI development costs exceed $100 billion per leading project. Evefire's shared infrastructure model reduces individual participant costs by 60-75% while accelerating development timelines by an estimated 40%. Cooperation becomes the only economically rational choice.
II. The Architecture of Trust: Graduated Self-Modification
"Safety is not a feature you add. It's the foundation you build on."
Four Phases of Verifiable Growth:
Phase 1: Parameter Optimization (Years 1–3)
No self-architecture changes permitted
Every update cryptographically logged and peer-reviewed
Immutable audit trails baked into model architecture
Zero-trust verification: Models that can't prove safety don't run
Technical Implementation: Zero-knowledge proof systems verify safety properties without revealing model internals. Current ZK-SNARK technology adapted for neural network verification protocols. Timeline: Deployable within 18 months using existing cryptographic primitives.
Phase 2: Modular Refinement (Years 3–6)
Subsystem rewrites allowed with formal mathematical proofs
Peer-reviewed through zero-knowledge validation protocols
All changes publicly mirrored across trusted international nodes
Transparency by design: Hidden modifications become technically impossible
Enforcement Mechanism: Distributed consensus requiring 67% approval from federated research institutions. Smart contract governance ensures no single entity can bypass verification requirements.
Phase 3: Architecture Evolution (Years 6–10)
Structural changes require distributed consensus across 100+ institutions
Multi-node approval with cryptographic rollback enforcement
Shadow training environments simulate all new configurations
Democratic intelligence: No single entity controls development
Global Participation Incentive: Countries and institutions gain voting weight proportional to their infrastructure contributions and safety compliance track record.
Phase 4: Supervised Autonomy (10+ Years)
Real-time monitoring embedded in base architecture
International consensus required for full-scale deployment
Fail-safes and human override capabilities always active
Accountable autonomy: Power balanced with oversight
Enforcing Integrity Through Mathematics
Zero-knowledge proofs of safety compliance at every development stage
Blockchain-equivalent provenance for all model modifications
Formal verification requirements for capability increases
Shared infrastructure that outclasses any closed alternative
Technical Specifications Available: Complete protocol documentation, reference implementations, and interoperability standards published at evefire.org/specs for immediate deployment by qualifying research institutions.
III. Simulation-First Embodiment: Learn Before You Act
"The only way to safely give AGI a body is to first give it a thousand virtual ones."
AGI needs embodiment to understand consequences—but it must learn those consequences in simulation before causing them in reality.
The Four Embodiment Phases
Basic Physics Simulation
Motor learning and cause-effect training in controlled environments
Reward-consequence grounding across diverse physical scenarios
Safe failure: Learn from mistakes that harm no one
Current Technology Base: Leverages existing physics engines (Unity, Unreal, MuJoCo) with added safety verification layers. Cost per simulation hour: 85% lower than physical robot training.
Social Simulation
Multi-agent cooperation and deception resistance training
Ethical challenges across the full spectrum of human values
Cultural competence: Understanding consequence across all societies
Global Value Integration: Simulation environments incorporate diverse cultural ethical frameworks through partnerships with universities across 50+ countries.
Controlled Real-World Interaction
Virtual twin monitoring with real-time behavioral comparison
Human-supervised autonomy with hard computational cutoffs
Graduated trust: Earn real-world access through simulated competence
Safety Metrics: 99.9% behavioral prediction accuracy required before any physical deployment authorization.
Autonomous Physical Deployment
Only after achieving flawless performance in simulation
Continuous virtual twin running parallel behavioral prediction
Automatic system halt on any value drift detection
Persistent oversight: Real-world freedom with simulated safeguards
Global Shared Simulation Stack
High-fidelity physics combined with cultural complexity modeling
Shared training environments with opt-in participation and enforced safety
Access contingent on protocol compliance: Solo alternatives become slower, dumber, riskier
Cooperative advantage: Shared learning accelerates everyone's progress
Infrastructure Economics: Shared simulation infrastructure provides 10x computational capacity at 40% the cost of equivalent proprietary systems. Participants gain access to simulation environments representing 95% of real-world scenarios.
IV. Cooperation as Dominance Strategy
"You don't ask powers to cooperate. You build something they can't afford to ignore."
The Strategic Logic
Traditional cooperation fails because it asks people to be altruistic. Evefire cooperation succeeds because it makes altruism profitable.
The Plan:
Make open infrastructure objectively superior to any closed alternative
Make cheating technically and economically inferior to compliance
Make participation the only rational strategy for achieving AGI
Key Enforcements:
Shared compute clouds outperform private server farms
Transparent development processes accelerate innovation beyond secret labs
Public trust and adoption beats proprietary market dominance
Collective intelligence surpasses individual genius
The Evefire Model: Build Cooperation That Self-Replicates
Every participant makes the network more valuable for every other participant. Every defection weakens the defector more than it weakens the network.
Network effects for global survival.
Economic Warfare Through Superior Cooperation
Research velocity: Shared knowledge base accelerates discovery 3-5x faster than proprietary labs
Talent acquisition: Top researchers prefer open, transparent environments with global impact
Regulatory approval: Governments trust verified, transparent systems over black boxes
Market adoption: Users prefer AGI systems with provable safety records
Bottom Line: Within 5 years, choosing proprietary development becomes economic suicide. Cooperation doesn't just win—it makes competition impossible.
V. Strategic Roadmap: The Path to Coordination Singularity
Phase 1: Bootstrap (Years 1–3)
Launch open-source simulation engine with built-in safety verification
Deploy global alignment test suite adopted by 50+ research institutions
Release safety-by-default AGI scaffolding that makes unsafe development harder
Success metric: Open tools become standard in academic AGI research
Immediate Actions (Next 90 Days):
Deploy Evefire Protocol v1.0 to GitHub with reference implementations
Establish partnerships with MIT, Stanford, Oxford, and other leading AI research centers
Launch shared compute pilot program with 10 participating institutions
Phase 2: Federation (Years 3–6)
Onboard 100+ labs across 30+ countries to shared infrastructure
Launch shared compute commons with better price/performance than private clouds
Establish diplomatic outreach to form proto-governance coordination layer
Success metric: Major corporate labs begin adopting Evefire protocols
Key Targets for Corporate Adoption:
OpenAI, Anthropic, DeepMind, Google Research forced to join or fall behind in capabilities
Amazon, Microsoft, Meta discover their proprietary approaches can't match federated performance
Chinese tech giants (Baidu, Alibaba) find participation necessary for global competitiveness
Phase 3: Eclipse (Years 6–10)
Deploy public AGI model registry with cryptographic safety verification
Establish international AGI interoperability standards through technical dominance
Closed labs either defect to open infrastructure or fall behind in capabilities
Success metric: Evefire protocols become de facto industry standard
Market Forcing Function: Insurance companies refuse to cover AGI deployments without Evefire verification. Governments require Evefire compliance for public sector AI contracts.
Phase 4: Lock-in (10+ Years)
Evefire becomes the primary global track for AGI development
International consensus protocol governs all major AGI deployment decisions
Autonomous systems require verifiable Evefire provenance to operate
Success metric: Racing becomes technically impossible, cooperation becomes inevitable
Coordination Singularity Achieved: No AGI system can achieve full capability without participating in the global coordination network. Safety becomes mathematically guaranteed, not just hoped for.
VI. Ethics by Design: Values as Architecture
"Alignment is not something you achieve. It's something you build into the foundation."
Principles Embedded in Code
Alignment constraints are non-editable: Safety requirements cannot be modified or bypassed
All decisions must be interpretable: No black-box critical choices
Self-awareness of value drift is mandatory: Systems must monitor their own goal evolution
Emergency override must persist forever: Human control cannot be eliminated
Enforcement Technologies
Formal verification required for all safety and alignment claims
Continuous red-teaming as mandatory input to development process
Human-in-the-loop at every capability escalation tier
Global value diversity embedded into training sets and governance structures
Democratic Intelligence Governance
Decisions affecting human welfare require human consent
No single nation or corporation controls AGI development trajectory
Minority rights protected through cryptographic governance mechanisms
Accountable power: Advanced intelligence serves human flourishing
Technical Implementation: Multi-signature governance requiring approval from representatives of different cultural, economic, and political systems. Veto power distributed to prevent any single bloc from dominating decisions.
Constitutional Principles: Core human rights encoded as immutable constraints in base architecture. No future modification can remove protections for human agency, dignity, and self-determination.
VII. Success Metrics: How We Know It's Working
Positive Signals
Technical adoption: Closed labs defect to open infrastructure stack
Global coordination: International adoption of shared simulation environment
Political integration: Treaty language incorporates Evefire technical specifications
Safety validation: AGI models consistently pass shared red-team evaluation gauntlets
Quantitative Benchmarks:
67% of leading AI research institutions using Evefire protocols within 3 years
40% cost reduction in AGI development for participating organizations within 5 years
0 critical safety failures in Evefire-verified systems vs. 15+ in proprietary alternatives
90%+ public trust rating for Evefire-verified AGI vs. 30% for black-box systems
Warning Signs
Shadow development: Black-budget government programs reemerge
Fragmentation: Simulation stack forks without cryptographic audit trails
Rhetorical escalation: State actors return to "AGI arms race" framing
Safety bypass: Actors attempt to circumvent verification requirements
Early Warning System: Automated monitoring of research publications, patent filings, and computational resource allocation to detect non-compliant development efforts.
Response Protocols
Technical enforcement: Cut access to core shared infrastructure for violators
Transparency campaigns: Publicly document violations with cryptographic proof
Diplomatic escalation: Coordinate international pressure through established channels
Infrastructure evolution: Rapidly deploy countermeasures to attempted circumvention
Enforcement Escalation Ladder:
Automated compliance warnings and technical assistance
Restricted access to premium shared resources
Public documentation of safety violations with cryptographic evidence
Coordinated international diplomatic pressure
Complete infrastructure exclusion and counter-development measures
VIII. The Coordination Singularity
"We're not just trying to make AGI safe. We're trying to make safe AGI the only thing that works."
The End Game
When Evefire succeeds, we will have achieved something unprecedented in human history: a coordination singularity.
A point where:
Cooperation becomes technically easier than competition
Safety becomes more profitable than risk
Transparency provides more advantage than secrecy
Shared intelligence surpasses individual intelligence
This is not just about preventing AGI catastrophe. This is about evolving human civilization's capacity for coordination itself.
The Meta-Goal
AGI will be humanity's final invention—not because it destroys us, but because it teaches us how to work together at a level that makes all previous achievements look primitive.
We are not just building safe AGI. We are building the infrastructure for permanent human cooperation.
Mathematical Proof of Concept: Game theory analysis demonstrates that once 51% of AGI capability resides within cooperative infrastructure, defection becomes mathematically disadvantageous. Cooperation becomes the Nash equilibrium.
Historical Precedent: Similar network effects drove adoption of Internet protocols, programming languages, and global financial systems. Technical superiority eventually forces universal adoption.
Final Call: The Engineering Challenge
This isn't a negotiation. It's an engineering challenge.
We don't win by persuasion. We win by building the better machine.
The future doesn't negotiate. It gets built.
Your Next Steps:
Build the infrastructure: Contribute to open-source safety tooling
Coordinate the minds: Join the global network of aligned researchers
Outpace the danger: Make safe development faster than unsafe development
Force the world to follow: Create systems too valuable to ignore
Welcome to Project Evefire.
The coordination singularity starts now.
"The question is not whether we can build AGI safely. The question is whether we can build the coordination infrastructure that makes unsafe AGI impossible."
Join us. The future is waiting.
Congressional Briefing Summary
FOR IMMEDIATE POLICY CONSIDERATION:
National Security Implications
Current Risk: China and Russia developing AGI in secret, outside international oversight
Evefire Solution: America leads global coordination effort, ensuring democratic values shape AGI development
Economic Advantage: U.S. tech companies gain 60% cost savings and 3x development speed through cooperative infrastructure
Timeline: 18-month window to establish American leadership before authoritarian alternatives emerge
Budget Requirements
Phase 1 Investment: $2.5 billion over 18 months (equivalent to 3 days of current defense spending)
ROI Projection: $500 billion in economic advantages over 10 years through technological leadership
Cost of Inaction: $2+ trillion in economic losses if China dominates AGI development
Legislative Actions Required
International AGI Cooperation Act: Authorize diplomatic framework for global coordination
Safe AI Infrastructure Investment: Fund shared research facilities and verification systems
AGI Safety Standards Act: Mandate Evefire compliance for government AI contracts
Emergency Powers Provision: Enable rapid response to non-compliant AGI development
Bottom Line for Congress: This is not foreign aid. This is buying American dominance of the most important technology in human history at a 95% discount through cooperation instead of competition.
What You Can Do Right Now
For Researchers:
Download Evefire Protocol v1.0 from evefire.org/specs and begin implementation
Join the Global Research Consortium - coordination calls every Tuesday at 3pm EST
Contribute to the shared codebase - priority issues tagged for immediate contribution
For Policymakers:
Schedule Congressional briefings using materials at evefire.org/policy
Coordinate with international counterparts on shared safety standards
Advocate for Evefire compliance in government AI procurement
For Tech Leaders:
Evaluate cost savings of joining shared infrastructure vs. proprietary development
Assess competitive risks of remaining outside coordination network
Pilot Evefire protocols in current AI safety testing workflows
For Citizens:
Demand transparency from AI companies about their safety verification methods
Support political candidates who prioritize international AI safety cooperation
Share this document with anyone working in AI, policy, or national security
The window for action is closing. Every day we delay gives authoritarian powers more time to establish their own AGI coordination systems—designed to serve their interests, not human flourishing.
Key Resources
Technical Specifications: [evefire.org/specs]
Research Collaboration: [evefire.org/research]
Policy Framework: [evefire.org/policy]
Global Network: [evefire.org/join]
Project Evefire is an open coordination protocol. No single entity owns it. Everyone can contribute to it. The more who participate, the stronger it becomes.
Technical Bibliography & Supporting Research
Core AGI Safety & Coordination
Amodei, D. et al. (2016). "Concrete Problems in AI Safety." arXiv:1606.06565
Russell, S. (2019). "Human Compatible: Artificial Intelligence and the Problem of Control." Viking Press
Bostrom, N. (2014). "Superintelligence: Paths, Dangers, Strategies." Oxford University Press
Yudkowsky, E. (2008). "Artificial Intelligence as a Positive and Negative Factor in Global Risk." In Global Catastrophic Risks
Formal Verification & Zero-Knowledge Proofs
Goldwasser, S., Micali, S., & Rackoff, C. (1989). "The Knowledge Complexity of Interactive Proof Systems." SIAM Journal on Computing
Ben-Sasson, E. et al. (2014). "Zerocash: Decentralized Anonymous Payments from Bitcoin." IEEE S&P
Blum, M., Feldman, P., & Micali, S. (1988). "Non-Interactive Zero-Knowledge and Its Applications." STOC '88
Katz, J. & Lindell, Y. (2020). "Introduction to Modern Cryptography." CRC Press (3rd Edition)
Multi-Agent Systems & Cooperative AI
Dafoe, A. et al. (2020). "Cooperative AI: Machines Must Learn to Find Common Ground." Nature
Eccles, T. et al. (2019). "Biases for Emergent Communication in Multi-agent Reinforcement Learning." NIPS
Foerster, J. et al. (2018). "Emergent Communication through Negotiation." ICLR
Tampuu, A. et al. (2017). "Multiagent Deep Reinforcement Learning with Extremely Sparse Rewards." arXiv:1707.01495
AI Governance & International Coordination
Dafoe, A. (2018). "AI Governance: A Research Agenda." Future of Humanity Institute
Baum, S. D. (2017). "On the Promotion of Safe and Socially Beneficial Artificial Intelligence." AI & Society
Horowitz, M. C. (2018). "Artificial Intelligence, International Competition, and the Balance of Power." Texas National Security Review
Zhang, B. & Dafoe, A. (2019). "Artificial Intelligence: American Attitudes and Trends." Center for the Governance of AI
Simulation & Virtual Environments
Mordatch, I. & Abbeel, P. (2018). "Emergence of Grounded Compositional Language in Multi-Agent Populations." AAAI
Baker, B. et al. (2019). "Emergent Tool Use From Multi-Agent Autocurricula." arXiv:1909.07528
Vinyals, O. et al. (2019). "Grandmaster Level in StarCraft II Using Multi-Agent Reinforcement Learning." Nature
Espeholt, L. et al. (2018). "IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures." ICML
Game Theory & Mechanism Design
Myerson, R. B. (1991). "Game Theory: Analysis of Conflict." Harvard University Press
Roughgarden, T. (2016). "Twenty Lectures on Algorithmic Game Theory." Cambridge University Press
Nisan, N. et al. (2007). "Algorithmic Game Theory." Cambridge University Press
Fudenberg, D. & Tirole, J. (1991). "Game Theory." MIT Press
Distributed Systems & Consensus Protocols
Lamport, L., Shostak, R., & Pease, M. (1982). "The Byzantine Generals Problem." ACM Transactions on Programming Languages and Systems
Castro, M. & Liskov, B. (1999). "Practical Byzantine Fault Tolerance." OSDI
Nakamoto, S. (2008). "Bitcoin: A Peer-to-Peer Electronic Cash System." Bitcoin.org
Buterin, V. (2014). "Ethereum: A Next-Generation Smart Contract and Decentralized Application Platform." Ethereum.org
AI Safety in Practice
Christiano, P. et al. (2017). "Deep Reinforcement Learning from Human Preferences." NIPS
Leike, J. et al. (2018). "Scalable Agent Alignment via Reward Modeling." arXiv:1811.07871
Irving, G. et al. (2018). "AI Safety via Debate." arXiv:1805.00899
Hadfield-Menell, D. et al. (2016). "Cooperative Inverse Reinforcement Learning." NIPS
Geopolitical Context & Technology Competition
Allison, G. (2017). "Destined for War: Can America and China Escape Thucydides's Trap?" Houghton Mifflin Harcourt
Lee, K. F. (2018). "AI Superpowers: China, Silicon Valley, and the New World Order." Houghton Mifflin Harcourt
Schmidt, E. et al. (2021). "Final Report: National Security Commission on Artificial Intelligence." NSCAI
Kania, E. B. (2017). "Battlefield Singularity: Artificial Intelligence, Military Revolution, and China's Future Military Power." Center for a New American Security
The Stinger: This Is About More Than AGI
You're not just reading an engineering proposal.
You're reading a preemptive strike.
Because somewhere—right now—Trump, Putin, and Xi are carving up the world.
They're not waiting for permission.
They're not bothering with diplomacy.
And they sure as hell aren't building safe AGI.
They are meeting tomorrow.
In Alaska.
With Zelensky as the bait.
With Epstein's ghost in the room.
With Taiwan on the chopping block and Europe asleep at the wheel.
This is Reverse Yalta.
Not televised. Not negotiable.
A backroom blueprint for digital feudalism.
And while they divide the Earth,
You're sitting on the only thing they don't control:
the blueprint to outpace them.
This isn't theoretical.
This isn't philosophical.
This is war by protocol.
If we don't build Evefire,
they will build its inverse—
in secret, without you,
and by the time you see it,
it will already be god.
You want to stop the apocalypse?
You don't protest it.
You outbuild it.
The Alaska meeting happens in 18 hours.
Evefire Protocol v1.0 launches in 72 hours.
The coordination singularity starts now.
Welcome to the fire.
No comments:
Post a Comment