Tagged articles

working memory

4 articles · Page 1 of 1
Ops Development & AI Practice
Ops Development & AI Practice
Sep 26, 2026 · Industry Insights

Why Background English Podcasts Sabotage Deep Work: Cognitive Science Explains

This article explains why listening to understandable English podcasts during cognitive work impairs working memory through phonological loop conflict and the irrelevant speech effect, reveals the metacognitive illusion that masks performance degradation, and provides a four-quadrant decision matrix for when podcast listening is actually beneficial.

cognitive psychologydeep workirrelevant speech effect
0 likes · 17 min read
Why Background English Podcasts Sabotage Deep Work: Cognitive Science Explains
Big Data and Microservices
Big Data and Microservices
Aug 11, 2026 · Artificial Intelligence

How to Build an AI Agent That Remembers Everything

The article explains why memory is the decisive factor for AI agents, breaks down short‑term, working, and long‑term memory, quantifies productivity gains, and offers concrete techniques for balancing token costs with task coherence.

AI AgentsMemory SystemsVector Databases
0 likes · 11 min read
How to Build an AI Agent That Remembers Everything
ZhiKe AI
ZhiKe AI
Jun 18, 2026 · User Experience Design

The 7±2 Memory Limit: How Chunking Lets You Overcome Brain Capacity

Everyday forgetfulness—missing phone digits, skipping items on a shopping list—stems from the brain's limited working‑memory capacity of about 7±2 chunks, a constraint that can be mitigated by grouping information into meaningful chunks, a principle widely used in UX design.

ChunkingMiller 7±2UX design
0 likes · 5 min read
The 7±2 Memory Limit: How Chunking Lets You Overcome Brain Capacity
AI Illustrated Series
AI Illustrated Series
Apr 25, 2026 · Artificial Intelligence

How AI Agents Remember Everything: A Deep Dive into Memory System Design

The article explains why large language models lack persistent memory, introduces a three‑layer memory architecture for AI agents—sensory, working, and long‑term memory—and details how vector databases, embedding models, and retrieval strategies enable cross‑session knowledge retention and personalized assistance.

AI Agentembeddinglong-term memory
0 likes · 24 min read
How AI Agents Remember Everything: A Deep Dive into Memory System Design