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Connect your local Zotero library to AI via MCP protocol to eliminate hallucinated citations. Full guide covering UV, Zotero setup, and OpenCode with free DeepSeek.

An in-depth look at an intelligent paper writing platform built on FastAPI + Vue 3, combining LLM, RAG, and multi-Agent collaboration for full-process automation—an excellent case study for AI developers.

Hands-on review of xAI's Grok 4.5: one-shot web code generation and research figures rivaling top journal visuals. Covers core capabilities, Claude Opus comparison, and aggregation platform tips.

Rocky is a minimal, transparent open-source coding agent with a core loop under a few hundred lines of Python, native DeepSeek search, Research mode, and built-in SWE benchmarking for reproducible agent experiments.

Videos promising 'free access to all global AI models' hide serious risks: fake version numbers, data leaks, and phishing scams. Here's what you need to know.

A deep dive into an AI paper writing system built with FastAPI + Vue3, covering multi-agent collaboration, RAG, streaming output, and full academic workflow automation.

A Vue3 beginner tutorial centered on "learn just enough, apply immediately." A three-stage path covers reactivity, Composition API, Element Plus, and data visualization, culminating in an enterprise-grade AI health monitoring system with blood sugar management, RAG consultation, and doctor-patient collaboration.
GitHub Daily · July 23: The Duet of Ru…
GitHub Trending July 23: block/buzz tops the chart with 3,252 stars, Rust dominates system tools, and AI Agents shift from tools to parallel collaborators.

Alibaba's Qwen releases a 2.4T parameter MoE model claiming to be 'second only to Gemini 2.5.' We break down what's real—and what's just hype.

Agent A1 is a 35B MoE open-source model from Shanghai's Intern Science, activating only 3B params. Hits 95 tok/s on M4 Mac Studio. Supports 256K context, tool calling, and free local deployment via Ollama.
Open Deep Research: A Complete Guide t…
A deep dive into LangChain's open-source project open_deep_research: an AI deep research agent built on LangGraph, supporting flexible multi-model and multi-search tool configuration, with 12,000+ stars.
Can LLMs Really Understand Computer Ar…
Can LLMs truly understand computer architecture papers? This article analyzes core challenges—from surface pattern matching to deep reasoning—and defines their capability limits for researchers.

A complete guide to building AI agents with DeepSeek R1: private knowledge bases using RAG, basic/advanced agent implementation, and Coze/Dify workflow tutorials.

Learn how to connect AI agents to SQL Server via MCP protocol — wrapping DMV queries, managing multi-instance fleets, and enabling natural language ops with layered safety guardrails. Includes Docker deployment.

Deep dive into OpenClaw multi-agent AI programming workflows: context layering, CMUX parallel terminal management, work trees, and manager-perspective debiasing for scalable AI dev automation.

AI is cracking world-class math conjectures at scale — from IMO gold medals to the Langlands Program. Terence Tao says math has entered a "proof abundance" era, but AI can't judge research significance. The mathematician's edge is shifting from proving to curating.

OpenAI engineers have found ways to cut inference costs by over 50%. Combined with Anthropic's research AI tools and an $800M chip startup, the AI race is shifting from capability to cost efficiency.

AI Agents are taking over experiment design, execution, and paper writing. Learn how graduate students can redirect their competitive edge in the age of automated research.

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.
How Does AI Track Ancient Roman Thieve…
Google Antigravity's 'Predicting the Past' skill tracks Roman thefts, maps ancient cult diffusion across Europe, and reconstructs Greek oracle social networks — revealing AI's transformative potential for humanities research.