Manav Malhotra — Writing & Research Essays and experiments on persistent AI, machine-readable organizations, learning systems, and biological design. https://manavm.com/feed.xml 2026-07-13T20:01:00-04:00 Manav Malhotra https://manavm.com/ How Much Structure Does a Biological Model Need? https://manavm.com/writing/how-much-structure-does-a-biological-model-need/ 2026-06-01T00:00:00Z 2026-07-13T20:01:00-04:00 An essay on when biological models benefit from explicit assay structure, identifiable physical quantities, and decision value per experimental round. When Memory Metrics Hide Memory Policies https://manavm.com/writing/when-memory-metrics-hide-memory-policies/ 2026-05-01T00:00:00Z 2026-06-08T17:43:46-04:00 A preprint on same-stream evaluation and policy-facing lookup diagnostics for persistent-agent memory. When TD-Variance Early Warning Fails https://manavm.com/writing/td-variance-early-warning/ 2026-04-01T00:00:00Z 2026-04-21T00:31:53-04:00 An experiment note on a failed TD-variance early-warning signal for off-policy fine-tuning under dynamics shift. The Machine Readable Organization https://manavm.com/writing/machine-readable-organization/ 2026-03-01T00:00:00Z 2026-06-04T00:43:46-04:00 Enterprise agents need more than prompts and permissions. They need a machine readable organization with runtime controls grounded in business state. The Consolidation Queue: How Persistent AI Earns Durable Change https://manavm.com/writing/the-consolidation-queue/ 2026-03-01T00:00:00Z 2026-04-21T00:51:02-04:00 A proposal for the consolidation queue: a probationary layer between new information and durable change in persistent AI systems. What Should an AI Experience Change? https://manavm.com/writing/what-should-an-ai-experience-change/ 2026-02-01T00:00:00Z 2026-07-13T19:58:27-04:00 On memory, consolidation, and the missing decision layer in persistent AI systems.