112 related articles

Some AI companies are mass-purchasing physical books for destructive scanning and pulping to obtain training data, even targeting rare antiquarian volumes. This article analyzes the technical motivations, legal gray areas, and cultural preservation controversies.

Some AI companies are mass-purchasing physical books for destructive scanning and pulping—even rare and antiquarian volumes—to obtain training data, sparking heated cultural preservation debates.

Large models aren't search engines — they're more like super compressors. This article explains how LLMs compress data to learn semantic patterns, and explores the phenomenon of intelligent emergence.

LLMs aren't search engines — they're more like super compressors. This article explains how large models compress corpora to learn semantic patterns, and explores the principles and limitations of emergent intelligence.
Terence Tao on AI and Mathematics: For…
Fields Medalist Terence Tao analyzes AI's impact on math research, discussing LLM-assisted proofs, Lean formal verification, large-scale collaboration, and the future of math education in the AI era.

NanoClaw founder David Boyd breaks down the core engineering of enterprise autonomous Agents: a triple security isolation model, LLM Wiki memory design, and the real-world path from personal Agents to team-scale deployment.

Claude Code isn't just a chat AI—it can directly read projects, modify code, and run commands. This article compares Claude Code with regular AI across five dimensions to help you decide if it's worth trying.

Claude Code isn't just a chat AI—it can directly read projects, modify code, and run commands. This article compares Claude Code with ordinary AI across five dimensions: interaction, context, execution, memory, and tool calling.
llmfit: One Command to Check Which Loc…
llmfit is an open-source Rust CLI tool that predicts whether your local hardware can run a given LLM — no model download required. Covers hundreds of models and backends like Ollama and llama.cpp.
CS Self-Study Guide: The 74K-Star Comp…
A 74K-star GitHub project by Peking University students curates MIT, Stanford, and CMU open courses into a complete CS self-study roadmap covering algorithms, OS, databases, and more.

A deep dive into the DeepLearning.AI & Neo4j course 'Knowledge Graphs for RAG' — covering core concepts, vector retrieval synergy, and hands-on SEC filing demos.

A practical guide to Claude Code covering installation, Chinese LLM switching, project analysis, key commands, and conversational Git workflow automation for developers.

A former Tencent engineer used CodeBuddy AI to solo-build a 'Decision Paralysis' mini program — from a phone specs spreadsheet to a fully launched WeChat app.
Microsoft Open-Sources Ontology Playgr…
Microsoft's open-source Ontology Playground is a zero-backend static web app for visually designing ontologies, with RDF/XML export and Microsoft Fabric IQ integration.

A complete guide to Claude Code Skills: what they are, how they differ from Plugins, three installation methods, how to write SKILL.md, trigger mechanisms, and top resource recommendations.

Build a local AI knowledge base with MiniMax M2 in OpenCode: source tracing, fact vs. opinion separation, conflict preservation, and timeliness management.

From SHRDLU to modern neuro-symbolic AI: explore procedural semantics, CCG grammars, semantic parsing, and interactive fiction engines in today's NLP landscape.

Apple sues OpenAI for trade secret theft; Google quietly shifts to AI-generated search pages, causing a 58% drop in click-through rates. Here's what it means for your business visibility strategy.
Using LLMs to Master MikroTik Network …
Explore how LLMs can streamline MikroTik RouterOS configuration — from natural language command generation to AI-assisted troubleshooting and security auditing.

A curated open-source repo of 500+ active AI research tools covers the full workflow—literature review, code reproduction, paper writing, and LaTeX formatting—potentially saving 80% of research time.