> AI is your copilot, not the pilot. It can draft text, including a whole paper in full mode, but the decisions stay yours, and the pipeline stops for your confirmation at every stage. " You remain the author, and you answer for every claim you submit.
nature-academic-search 的 MCP 服务还需要单独配置 PUBMEDEMAIL，Scopus / ScienceDirect 等可选 provider 需要使用本机凭据配置，不要把 API key 写入仓库文件。
从0开始，掌握做科研、写论文的基本流程。
将博导十年科研经验炼化为可直接调用的 AI 技能。从 Idea 构思到论文投稿，你的 AI 科研副导师。
ARS-Codex is the Codex-native sibling of Academic Research Skills (ARS) for Claude Code. It is a separate Codex distribution with its own plugin identity, packaging, versioning, and runtime adapter.
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepower. Maintained by Orchestra Research.
The open-source AI research workbench for scientific research and agent workflows. Local-first, model-agnostic desktop app with extensible skills, MCP tools and connectors, Python/R execution and traceable artifacts for reproducible research on macOS, Windows and Linux.
Token-scale scientific discovery engine — autonomous hypothesis generation, experiment execution, and knowledge graph synthesis
One of the grand challenges of artificial intelligence is developing agents capable of conducting scientific research and discovering new knowledge.
Clone a voice in 5 seconds to generate arbitrary speech in real-time
The series is running. 5 days after launch. It runs once a day for 30 days: days 1–10 are the baseline, then there are two 10-day windows, so the first possible call is around 2026-10-24.
app — the end-signal probe, public pages, and the live steered-model lab.
What it is, and what it isn't. These are very small models. They make extremely fast, well-calibrated judgement calls between options, and they slot easily into your local code.
WARNING] > DISCLAIMER & RESPONSIBLE RESEARCH DECLARATION > All prompts, system instructions, and PoC payloads archived herein are compiled strictly for academic research, red-teaming verification, and defensive AI alignment.
A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
> This repository accompanies The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement (Yi Duan et al., 2026; arXiv:2609.11873).