Apr 29, 2026
Memory-Native LLMs Need More Than Vector Search
Vector search can help an LLM retrieve relevant text, but memory is more than similarity. Real memory needs structure, durability, revision, and trust.
Baljit Singh Blog
Essays on AI architecture, memory, knowledge, and connected intelligence.
Long-form writing on memory-native LLMs, symbolic RAG, neuro-symbolic systems, agentic AI, hardware-aware architecture, and the deeper structure of meaning.
Apr 29, 2026
AI Agents Need Supervision, Memory, and Correction Loops
The hard part of agentic AI is not making an LLM call a tool. The hard part is designing a system that can be…
Apr 29, 2026
Why Most RAG Systems Fail After the Demo
RAG is easy to prototype and hard to trust. The difference is not usually the embedding model alone. It is the architecture around memory,…
Jan 18, 2026
Knowledge and Intelligence: A Scientific Story About Meaning, Structure, and Shared Reality
When people ask what knowledge is, they often picture a mental warehouse of facts. When they ask what intelligence is, they picture raw problem-solving…