IOIan Okonuinokonu.hashnode.dev·May 2 · 11 min readWhen Confidence Becomes OverconfidenceCalibration Collapse After RLHF; and How to Fix It Without Retraining Reinforcement Learning from Human Feedback makes language models more helpful and less harmful. It also makes them systematically 00
IOIan Okonuinokonu.hashnode.dev·Apr 12 · 18 min readAI Agents Are Not Products: Embedding Intelligence Into Business OperationsAbstract AI agent products are proliferating faster than the operational frameworks needed to deploy them well. Most enterprise and SME deployments fail not because the underlying models are incapable00
IOIan Okonuinokonu.hashnode.dev·Apr 5 · 20 min readWhen Does Similarity Stop Working?The Concentration Problem at the Heart of Vector Search Every major embedding model produces hundreds or thousands of dimensions. You use cosine similarity on them. There is a theorem that says this00
IOIan Okonuinokonu.hashnode.dev·Mar 30 · 17 min readWhen Does Learning Beat Random?The Johnson-Lindenstrauss Lemma Against PCA and Neural Networks A theorem from 1984 claims you can throw a random matrix at high-dimensional data and preserve its geometry almost perfectly, with no 00
IOIan Okonuinokonu.hashnode.dev·Mar 22 · 20 min readWhen Agents DecideAgentic AI in Credit & KYC and the Governance Gap That Follows Abstract Agentic AI systems are now capable of executing end-to-end credit decisioning and KYC workflows with minimal human input, retri00