Topic / T SALON
AI
T Salon's collection on AI technology — how model capabilities evolve, changing memory system design, observations on AI applications moving from validation to production, and the practical impact on how developers work.
4 stories
- 2026.09.19
How to Keep Bad Assumptions Out of Agent Memory
Retrieval quality cannot repair a memory that was wrong when written. How enterprise agents use environment-probing curation, source verification, and lifecycle controls in MemOS to prevent flawed assumptions from becoming durable memory.
- 2026.09.11
Dreaming Update: AI Memory Requires Annual Management
In April 2025, OpenAI introduced an early version of Dreaming to ChatGPT, allowing it to reference chat logs. In June, OpenAI upgraded the Dreaming architecture.
- 2026.09.01
Memory Poisoning: Long-Term Memory Controls for Agents
If a system records a fake contact as a trusted supplier, the impact extends beyond the current conversation. Memory Poisoning is a critical risk for AI Agents.
- 2026.08.03
Event Recap: From AI Demo to Production｜Engineering Practices for Agent and AI Native Applications
A recap of the 'From AI Demo to Production' offline event held in Shanghai on August 1st, featuring four guests sharing engineering practices on persistent Agent memory, multi-model collaboration, Vibe Coding, and Agent execution environments.