How production LLMs remember and when to act.
MS in Artificial Intelligence, Hawaii Pacific University (2026). A decade in tech; AI since 2021. Research on LLM memory, RAG, and intervention timing, grounded in systems shipped for legal and healthcare.
About Tao An
Founder of FIM Labs Pte Ltd (🇸🇬 Singapore · 🇨🇳 Beijing), building FIM One, an open-source AI connector hub that links agents to enterprise systems (Feishu, Slack, Teams & more). Also serving government and enterprise clients in China, with production AI systems focused on legal and healthcare domains.
Research interests: Retrieval-Augmented Generation, LLM memory architectures, knowledge graphs, and intervention timing for always-on assistants.
News
AI as Equalizer or Amplifier? published in the HHAI 2026 proceedings (IOS Press, FAIA vol. 423, open access).
New interactive notes: citation decoupling, intervention timing, and the ACL 2026 citation audit.
Joined the NeurIPS 2026 Ethics Review Committee.
AI as Equalizer or Amplifier? accepted to HHAI 2026 (Brussels; IOS Press proceedings).
New preprint — Verbatim Chunks Beat Extracted Artifacts, a controlled ablation of memory representations for long LLM conversations (under review, ARR).
Interviewed by Medium — The Truth About AI Right Now, on what actually works in real deployments.
New preprint — Cognitive Workspace: Active Memory Management for LLMs.