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• The Manifold Dial: Visualizing Why DeepSeek's mHC Stabilizes Deep Networks

  Interactive exploration of Manifold-Constrained Hyper-Connections - how DeepSeek fixed the signal explosion problem in deep residual networks using 1967 mathematics

  11 min read   ·   January 03, 2026

  2026 deep-learning architecture visualization transformers deepseek mhc hyper-connections sinkhorn-knopp research llm

  

• I Trained Probes to Catch AI Models Sandbagging

  First empirical demonstration of activation-level sandbagging detection. Linear probes achieve 90-96% accuracy across Mistral, Gemma, and Qwen models. Key finding - sandbagging representations are model-specific, and steering can reduce sandbagging by 20%.

  10 min read   ·   December 20, 2025

  2025 sandbagging activation-probing ai-safety interpretability steering-vectors AI Safety Machine Learning Interpretability

  

• Why Steering Vectors Beat Prompting (And When They Don't)

  I tested activation steering on 4 agent behaviors across 3 models. The results surprised me.

  9 min read   ·   December 18, 2025

  2025 machine-learning llm interpretability agents LLM research

  

• Why I Built a Spark-Native LLM Evaluation Framework (And What I Learned)

  A deep dive into building distributed LLM evaluation infrastructure that actually scales - architectural decisions, trade-offs, and lessons learned.

  15 min read   ·   December 15, 2025

  2025 llm-evaluation apache-spark databricks mlops distributed-systems statistical-analysis llm MLOps Distributed Systems LLM

  

• The MCP Maturity Model: Evaluating Your Multi-Agent Context Strategy

  A practical framework for evaluating your multi-agent context management strategy. From ad-hoc string concatenation to self-evolving context systems - where does your architecture stand?

  32 min read   ·   November 19, 2025

  2025 MCP multi-agent-systems context-management AI-architecture enterprise-AI AI Infrastructure Multi-Agent Systems