Zoo Labs

Research Papers

32 papers

Zoo LabsResearch Papers

Open AI and decentralized science: useful-compute research, community model infrastructure, and conservation applications settled through the Lux post-quantum base layer.

32 papers

Proof of AI

CPU-Verifiable Useful Work with PQ-Rooted Omnichain Settlement

A demand-backed AI job is admitted before mining and executed under a versioned deterministic kernel profile. Its canonical integer transcript lets ordinary CPUs verify challenged matrix products in quadratic work via Freivalds rather than rerunning the cubic GPU workload. A-Chain is the sole PoAI authority; Z-Chain settles finalized receipts through P3Q; Zoo applications consume those receipts for open AI and reproducible decentralized science.

Zach Kelling · Antje Worring · Zoo Labs Foundation
Proof of AIA-ChainP3QVerifiable Compute
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ZIP-002 SpecificationLux AIVM settlement paper

Thinking Chains

Proof of AI: Trustless Money from Useful Intelligence

A Thinking Chain pays for useful intelligence rather than synthetic accelerator work. In the canonical settlement model, Zoo applications fund and consume AI jobs while A-Chain alone validates the deterministic execution transcript and authorizes mining; Z-Chain P3Q compresses finalized receipts and Lux Quasar supplies post-quantum finality. The chain consumes accountable artifacts of heterogeneous thought, never an unreplayable generation treated as consensus truth.

Zach Kelling · Antje Worring · Zoo Labs Foundation
Proof of AIThinking ChainsConscious BlockchainProof-of-Thought
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The Zoo DAO

How a Model Zoo Builds a Community, Rewards Its Builders, and Forks Itself

The application-economics companion to Proof of AI. A model zoo is a community-owned library of AI models that can fund jobs, reward data and model contributors, curate results, and fork competing model lineages. Its governance and reputation mechanisms decide what Zoo values; they do not replace the Lux A-Chain proof and finality required to mine AI.

Zach Kelling · Zoo Labs Foundation
Zoo DAOTokenomicsModel ZooReputation
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Beluga Application Chain

AI Model Economics and Ocean Conservation

A Zoo application-chain design for community model economics and a constitutional conservation tithe. Beluga may run deterministic local models and consume finalized Proof-of-AI receipts, but useful-work admission and AI issuance remain exclusively on Lux A-Chain.

Zach Kelling · Zoo Labs Foundation
BelugaL3ConservationAI Economics
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Zoo Labs Foundation Mission

AI-Blockchain Research for Conservation, Education, and Science

501(c)(3) non-profit mission: Conservation AI, Educational AI, and Frontier AI research for the public good.

Zoo Labs Foundation
FoundationConservationEducationMission
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Zoo Network Architecture

Decentralized AI Applications and Research Infrastructure

Historical architecture for HLLM integration and federated training, now read as Zoo’s application and research layer. Canonical useful-work mining is admitted and finalized by Lux A-Chain, with P3Q settlement on Z-Chain.

Zoo Labs Foundation
ArchitectureL2Federated Learning
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Zoo Tokenomics

100% Airdrop Community-Owned AI Infrastructure

100% airdrop tokenomics with zero VC/private sales and democratic validator participation for community-owned AI.

Zoo Labs Foundation
TokenomicsAirdropDAO Governance
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Gym: Democratizing AI Model Training

Open-Source Training Infrastructure

Comprehensive open-source platform supporting 100+ models and 8 training methods for democratized AI training.

Zoo Labs Foundation
GymTrainingOpen Source
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HLLM: Hamiltonian LLMs with Training-Free GRPO

99.8% Cost Reduction via Semantic Optimization

99.8% cost reduction ($18 vs $10,000+) and +2.7% accuracy via semantic optimization with Hamiltonian invariants.

Zoo Labs Foundation
HLLMGRPOCost ReductionOptimization
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Zoo DSO: Decentralized Semantic Optimization

Byzantine-Robust Prior Aggregation for Collective Intelligence

A decentralized protocol for aggregating AI model priors with Byzantine fault tolerance, enabling collective intelligence at network scale.

Zoo Labs Foundation
DSOByzantine RobustDecentralizedCollective Intelligence
PDFSource
ZIP-001 SpecificationHanzo ASO (foundation)

Experience Ledger: Decentralized Semantic Optimization for LLMs

Three-Layer Storage with 7680-Dim Embeddings

DSO with Byzantine-robust curation, three-layer storage, and 7680-dimensional embeddings for persistent learning.

Zoo Labs Foundation
DSOExperience LedgerByzantine Robust
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Zoo Experience Ledger

Content-Addressable Semantic Memory

Content-addressable semantic memory system for decentralized AI with persistent learning across agents.

Zoo Labs Foundation
Experience LedgerSemantic MemoryContent-Addressable
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Experience Ledgers: Learning from Human-AI Interaction

Persistent Semantic Memory

Persistent semantic memory from human-AI interaction for continuous learning and improvement.

Zoo Labs Foundation
Experience LedgerHuman-AISemantic Memory
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ZIP-002: Zen-Reranker Integration

Native 7680-Dimensional Embeddings with BitDelta

Native 7680-dimensional embeddings with BitDelta compression (31.87x ratio) for decentralized semantic optimization.

Zoo Labs Foundation
ZIP-002Zen-RerankerEmbeddingsBitDelta
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Agent NFTs: Token Standard for Autonomous AI Agents

AI Agent Tokenization

Token standard for AI agents with economic agency, autonomous operation, and decentralized governance.

Zoo Labs Foundation
Agent NFTToken StandardAI Agents
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Agent NFTs: Tokenized AI Ownership and Governance

Governance Framework for AI Agents

Governance and ownership framework for tokenized AI agents with economic agency.

Zoo Labs Foundation
NFTAI OwnershipGovernance
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Federated DSO: Privacy-Preserving Distributed Learning

Privacy-Preserving LLM Learning

Privacy-preserving distributed learning using federated DSO for LLMs across decentralized networks.

Zoo Labs Foundation
FederatedPrivacyDistributed Learning
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High-Dimensional Embedding Spaces for Semantic Search

The Case for 7680 Dimensions

The case for 7680-dimensional embedding spaces in semantic search for optimal retrieval quality.

Zoo Labs Foundation
Embeddings7680-DimSemantic Search
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Conservation AI: Species Protection Systems

AI for Wildlife Conservation

AI systems for wildlife conservation and species protection at scale.

Zoo Labs Foundation
ConservationWildlifeAISpecies Protection
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Wildlife Tracking with Computer Vision

Real-Time Animal Detection and Monitoring

Computer vision systems for real-time wildlife tracking, detection, and monitoring.

Zoo Labs Foundation
WildlifeTrackingComputer VisionMonitoring
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AI Habitat Modeling

Predictive Habitat Analysis and Restoration

AI-driven predictive habitat analysis and restoration planning for conservation efforts.

Zoo Labs Foundation
HabitatModelingPredictionRestoration
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Deep Learning for Species Classification

Multi-Modal Species Identification

Deep learning approaches for multi-modal species identification and classification.

Zoo Labs Foundation
ClassificationDeep LearningSpeciesMulti-Modal
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Conservation Impact Bonds

Tokenized Environmental Impact Finance

Tokenized environmental impact bonds for conservation finance and DeFi composability.

Zoo Labs Foundation
Impact BondsConservationDeFiEnvironment
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AI-Verified Carbon Credits

Satellite-Validated Carbon Offset Protocol

AI-verified carbon credit protocol with satellite validation for transparent carbon offset markets.

Zoo Labs Foundation
Carbon CreditsVerificationClimateSatellite
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Zoo DAO Governance

Quadratic Voting and Scientific Governance

DAO governance framework with quadratic voting for scientific research coordination.

Zoo Labs Foundation
DAOGovernanceQuadratic VotingScience
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Citizen Science Platform

Crowdsourced Data Collection for Conservation

Platform for crowdsourced scientific data collection supporting conservation research.

Zoo Labs Foundation
Citizen ScienceCrowdsourcingData Collection
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Educational AI for Conservation

Adaptive Learning for Environmental Education

Adaptive learning systems for environmental education and conservation awareness.

Zoo Labs Foundation
EducationAIConservationLearning
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Decentralized Research Coordination

Multi-Institution Scientific Collaboration

Decentralized coordination framework for multi-institution scientific collaboration.

Zoo Labs Foundation
ResearchCoordinationDecentralizedCollaboration
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Open Data Commons for Conservation

Shared Scientific Data Infrastructure

Open data commons infrastructure for shared scientific datasets supporting conservation research.

Zoo Labs Foundation
Data CommonsOpen DataInfrastructureScience
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Mobile AI Inference for Field Research

Edge AI for Wildlife Monitoring

Mobile AI inference for field research with edge deployment for wildlife monitoring.

Zoo Labs Foundation
MobileInferenceEdge AIField Research
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Federated Learning for Wildlife Data

Privacy-Preserving Cross-Organization Learning

Federated learning for privacy-preserving cross-organization wildlife data analysis.

Zoo Labs Foundation
Federated LearningPrivacyWildlifeCross-Org
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Satellite Ecology with Deep Learning

Remote Sensing for Ecosystem Monitoring

Deep learning applied to satellite remote sensing for ecosystem monitoring and ecological analysis.

Zoo Labs Foundation
SatelliteEcologyRemote SensingDeep Learning
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