Field Notes
Real-time observations, experiments, and insights from our research team.
Emergent Reasoning Patterns in Multi-Agent Collaboration
During scaled transformer experiments, we observed unexpected collaborative reasoning patterns emerging without explicit training. Agent clusters spontaneously developed specialized sub-roles exhibiting implicit task decomposition strategies at the 850M parameter threshold.
Attention Head Specialization Across Training Phases
Tracking attention pattern evolution reveals distinct phases where heads transition from general to specialized functions, particularly in layers 18-24 of our 32-layer architecture.
Constitutional AI: Iterative Refinement Results
Third iteration of our constitutional training pipeline shows 34% improvement in edge case handling while maintaining performance on standard benchmarks. Examining trade-offs between capability and safety constraints.
Sparse Mixture-of-Experts: Routing Dynamics
Analysis of expert utilization patterns reveals unexpected load balancing behaviors at inference time. Some experts specialize in domain-specific reasoning while others handle cross-domain generalization.
In-Context Learning: Compositional Generalization
Models demonstrate surprising ability to compose novel skills from few-shot examples, but performance degrades predictably based on conceptual distance between training examples and test cases.