Tagged articles

Cognitive architecture

4 articles · Page 1 of 1
DevOps Cloud Academy
DevOps Cloud Academy
Jul 7, 2026 · Operations

AI Agents in DevOps: A Guide for Autonomous Infrastructure Architects

The article outlines a practical blueprint for building AI‑driven agents that continuously observe, plan, and execute infrastructure tasks, transforming DevOps from brittle scripted automation to a probabilistic, self‑healing cognitive architecture that improves reliability, cost efficiency, and security.

AI agentsCognitive architectureInfrastructure automation
0 likes · 12 min read
AI Agents in DevOps: A Guide for Autonomous Infrastructure Architects
AI Tech Publishing
AI Tech Publishing
Apr 22, 2026 · Artificial Intelligence

Why Longer Context Makes LLMs Forget Faster: 7 Failure Modes and Memory System Solutions

The article analyzes how extending the context window of large language models leads to rapid forgetting, outlines seven concrete failure modes, examines cognitive‑science‑based memory architectures, and walks through practical layers—from Python lists to markdown files to vector retrieval—highlighting why simple context expansion alone cannot solve the problem.

Agent designCognitive architectureLLM memory
0 likes · 10 min read
Why Longer Context Makes LLMs Forget Faster: 7 Failure Modes and Memory System Solutions
SuanNi
SuanNi
Apr 19, 2026 · Artificial Intelligence

Why External Cognition Is the New Engine Behind Reliable LLM Agents

The article analyzes how the success of large‑language‑model agents now hinges on external cognitive infrastructure—memory, skills, protocols, and a central Harness—rather than raw model parameters, outlining architectural evolution, practical challenges, and emerging industry trends.

AI industry trendsCognitive architectureHarness framework
0 likes · 15 min read
Why External Cognition Is the New Engine Behind Reliable LLM Agents
Fighter's World
Fighter's World
Oct 13, 2024 · Industry Insights

Generative AI’s Act o1: Why Reasoning Layers Are the Next Battleground

Sequoia’s third Generative AI Act report argues that foundation models have plateaued, the focus is shifting to inference‑time reasoning, with OpenAI’s o1 model exemplifying a new scaling law that makes inference compute the key driver of future AI breakthroughs.

AI applicationsCognitive architectureGenerative AI
0 likes · 9 min read
Generative AI’s Act o1: Why Reasoning Layers Are the Next Battleground