126 related articles

Microsoft Research's Manohar proposes a disruptive education reform framework: abolish grading, allow AI in exams, and enable lifelong micro-credentials. Facing a global youth employment crisis, he calls for rebuilding education, not patching a broken system with AI.
Adaptive Recall: A Deep Dive into Pers…
Adaptive Recall uses MCP (Model Context Protocol) to give AI assistants like Claude persistent memory across sessions, featuring vector storage, semantic retrieval, and adaptive forgetting.

A hands-on test of MiniMax as an AI Agent brain using the Hermes V0.18 framework: fast inference, low cost, stable long tasks—but clear flaws in complex reasoning and tool calling. Learn its three strengths, three weaknesses, and best-fit workflows.

An in-depth comparison of AI companion apps TomoAI and Daimon: conversation experience, long-term memory, cross-platform support, and pricing to help you find the right AI companion.

How do you choose the right memory strategy for an AI agent? This article uses a decision-tree methodology to analyze the use cases and trade-offs of short-term memory, vector retrieval, and structured summaries.

Master LangGraph core concepts: nodes, edges, and routing functions. Learn StateGraph, MemorySaver, and ToolNode through a weather-query Hello World example, and understand how LangGraph relates to LangChain and powers Agent workflows.

GPT Live uses a full-duplex architecture with GPT 5.5 reasoning, enabling simultaneous listening and speaking, proactive engagement, contextual memory, and real-time translation. Voice AI moves from mechanical responses to human-like interaction.

The full GPT-5.6 model lineup is live. How can domestic developers access it at low cost via API relay stations? This article explains the principles, registration, token setup, client integration, and key risks.

A complete guide to Dify's core features and 1.8.0 deployment. Covers 5 app types, Docker setup, Workflow vs Chatflow differences, and RAG knowledge bases for beginners.

Side Chats lets you explore branching ideas in persistent AI agent threads without interrupting your main conversation, then bring insights back via @-mention.

A systematic breakdown of the complete AI Agent learning roadmap, covering prompt engineering, the ReAct paradigm, memory mechanisms, and multi-agent collaboration, with hands-on project advice.

OpenAI previews GPT-5.6 models Sol, Terra, Luna; Codex launches on mobile; SenseTime develops U1 Pro rivaling GPT Image; Gemini enters Android Auto; OpenAI IPO may slip to next year.

A complete 6-week AI Agent learning roadmap covering core architecture (planning/memory/tool use), the ReAct paradigm, multi-agent collaboration, RAG integration, and production deployment.

Google confirms the Made by Google hardware event in NYC, unveiling next-gen Pixel phones with new Tensor chips and deep Gemini AI integration. On-device AI gets a major upgrade.

Soccer is one of the world's most chaotic sports—sprinting, sudden stops, endurance, and contact all at once. Inside Brooklyn FC's training ground: how pros prep for 90 minutes of unpredictability.

A tweet about an AI character "attending" a July 4th party reveals how virtual and real-world social boundaries are dissolving. A deep dive into AI socialization, anthropomorphism, and attention scarcity.

Learn how Claude Code's /cd command lets you switch working directories without losing conversation context — perfect for microservices, monorepos, and multi-module development.

Growing data shows companies aggressively adopting AI are actually hiring more. This article explores the overlooked complex relationship between AI and employment through the Jevons Paradox, new job creation, and competitive divergence.

AI script development plagued by amnesia, blindness, and repeat errors? This article examines how MCP service tools — history nodes, node preprocessing, and an error library — systematically fix AI programming's structural flaws.

A deep dive into Agentic AI: core components (planning, tool calling, memory), engineering challenges (reliability, cost, safety), and practical development recommendations for production deployment.