AI Evolution Research Protocols: 2025 Standards
Technical Abstract
This document outlines standardized protocols for AI evolution research, incorporating computational requirements, evaluation metrics, and reproducibility standards established by the International AI Research Consortium (IAIRC) for 2025. These protocols address model architecture assessment, training paradigms, and ethical compliance frameworks.
Computational Infrastructure Requirements
Hardware Specifications:
- Minimum Compute Cluster: 1000 PFLOPS
- GPU Architecture: H200 or equivalent
- Memory Bandwidth: 8 TB/s per node
- Inter-node Connectivity: 400 Gbps
- Storage Throughput: 1 TB/s
- Power Efficiency: <0.1 W per GFLOP
- Cooling Capacity: PUE < 1.2
Model Architecture Standards
Architecture Requirements:
- Parameter Count Range: 10¹² – 10¹⁴
- Attention Heads: minimum 128 per layer
- Layer Normalization: RMSNorm or equivalent
- Activation Functions: SwiGLU/GeGLU
- Context Window: ≥1M tokens
- Sparse MoE Layers: 8-32 experts
- Gradient Checkpointing: Required
Training Protocol Specifications
Training Parameters:
- Batch Size: 16M tokens minimum
- Learning Rate Schedule: Cosine with warmup
- Weight Decay: 0.1 ±0.02
- Gradient Clipping: 1.0
- Mixed Precision: BF16/FP32
- Minimum Training Steps: 1M
- Validation Frequency: 1000 steps
Dataset Requirements
Data Specifications:
- Total Volume: >100PB cleaned text
- Language Distribution: >100 languages
- Content Categories: minimum 20
- Deduplication Threshold: 0.85
- Quality Score: >0.95 (IAIRC metric)
- Temporal Coverage: ≤6 months lag
- Source Diversity Index: >0.8
Evaluation Metrics
Performance Benchmarks:
- MMLU Score: >90%
- GSM8K: >95% accuracy
- Reasoning Index: >0.85
- Toxicity Score: <0.001
- Bias Metric: <0.05 deviation
- Latency: <100ms at p99
- Throughput: >1000 tokens/second
Reproducibility Standards
Documentation Requirements:
- Code Version Control: Git + DVC
- Environment Containers: Singularity/Docker
- Seed Management: deterministic training
- Hardware Specifications: detailed logs
- Hyperparameter Space: full search grid
- Ablation Studies: minimum 5 variants
Ethical Compliance Framework
Compliance Requirements:
- Privacy Standard: ISO/IEC 27701
- Bias Testing: IAIRC Protocol v2.5
- Environmental Impact: <2 kgCO₂e/hour
- Data Rights: GDPR + CCPA compliance
- Model Cards: complete IEEE template
- Ethical Review: quarterly audits
Monitoring and Logging Protocols
Monitoring Requirements:
- Metrics Collection: 100ms resolution
- Log Retention: 180 days minimum
- Performance Profiling: GPU utilization
- Memory Tracking: hourly snapshots
- Error Rate Monitoring: real-time
- Distributed Tracing: OpenTelemetry
Safety Measures
Safety Protocols:
- Content Filtering: real-time analysis
- Output Sanitization: OWASP standards
- Adversarial Defense: robust training
- Fallback Mechanisms: graceful degradation
- Emergency Shutdown: <500ms response
- Audit Trails: immutable logs
Version Control and Deployment
Deployment Standards:
- Model Versioning: semantic versioning
- Checkpoint Frequency: 1000 steps
- Rollback Capability: instant revert
- A/B Testing: minimum 7 days
- Canary Deployment: 5% traffic
- Blue-Green Deployment: required