Education

The Most Advanced AI Scientist: AutoResearchClaw

AutoResearchClaw turns a single research idea into a conference-ready paper through a 23-stage autonomous pipeline—pulling real literature, running self-healing sandbox experiments, and verifying citations. This ready-to-use config runs Claude Code via ACP (no API key needed), with DeepSeek and OpenRouter as drop-in alternatives. Human gates stay active where quality matters most: literature screening, experiment design, and the final quality check.

AI Freelancer Playbook – AI 自由职业者操作手册

turns AI into a force multiplier: route tasks to the right engine — Gemini, Claude, ChatGPT, Midjourney — while you own quality control. Master one workflow, win clients with value-first outreach, and scale from your first five reviews to market rates. 《AI 自由职业者操作手册》把 AI 变成效率倍增器:把任务分派给对的引擎——Gemini、Claude、ChatGPT、Midjourney——而你掌管质量把关。精通一套工作流,用价值优先的触达赢得客户,再从前五条好评一路放大到市场价。

AI + Math → Drive Business (The AI Optimization Engine)

The most expensive business problems cannot be solved by guesswork. The AI Optimization Engine bridges the cognitive gap between human intuition and mathematical precision — translating business logic into Bayesian and regression models that balance inventory, capital, stockout, and freight costs simultaneously. The formula is clear: AI + Mathematics + Business Capability = explosive cost reduction and efficiency.

中华文明的重新定义与八千年历史 — 冯时专场深度解读

冯时教授颠覆性提出中华文明八千年:天文学是文化之源,昆仑非山而是太阳轮次运行的浪漫表达,龙的原型是苍龙七宿星象,诚信道德源于立表测影对时间守信的领悟。以道德、知识、礼仪三要素重新定义文明,挑战西方标准,重建自主话语体系。

4 LLMs Tested in Codex, Claude Code, Hermes & OpenClaw

A landmark NVIDIA-funded study (32,000 GPU hours) benchmarks 4 LLMs across 5 agent frameworks on real financial tasks. Claude Code and OpenClaw dominate auditing at 66% accuracy, while ReAct collapses to 20% with the same Sonnet 4.6 backbone. Hermes + Qwen 400B surprises in hedging. But all agents catastrophically fail under temporal regime shifts — exposing surface-level pattern matching, not true reasoning.

麻省理工学霸AI学习法,2天学完一门课,还能顺利通过考试

一位 MIT 研究生只用 48 小时就攻克了一门陌生课程并通过资格考试,秘诀是把 AI 当成"最严厉的私人导师"。他在 NotebookLM 中上传 6 本教科书和 15 篇论文,然后抛出三个关键问题——核心思维模型、专家争论焦点、能一眼看出真懂还是死背的测试题。AI 时代的学习门槛不再是记忆,而是提问能力与主动性(Agency)。

How to work with AI To Learn Anything Quickly

An MIT grad student passed a qualifying exam in 48 hours by treating AI as a private tutor, not a search engine. Load every textbook into one isolated workspace, then run three prompts: extract the five core mental models, map the fiercest expert debates, and generate ten discriminating questions. Spar with the AI — never ask for answers, only errors.

The Executive AI Playbook: Orchestrating Intelligence for Business Operations

Leadership has shifted from controlling tasks to orchestrating intelligence. The Executive AI Playbook reframes AI across three pillars — Intelligence, Strategy, Governance — separating the *Thinking Partner* (Claude, for scenarios and assumptions) from the *Doing Engine* (ChatGPT, Beautiful.ai, for drafts and decks). Structure your data into Red, Yellow, and Green zones, then prove ROI on one workflow before scaling.

DeepSeek TUI: An open-source terminal-native AI coding agent

DeepSeek TUI is an open-source terminal coding agent built around DeepSeek V4, created by patent law student Hunter Bound. It hit GitHub trending with 10K+ stars overnight, offering Claude Code-style functionality at a fraction of the cost. With dual-binary Rust architecture, RLM parallel sub-agents, MCP support, and three safety modes, it's a serious model-native alternative.

Axiom Math at The Montgomery Summit | Fireside Chat

Axiom Math is the Silicon Valley startup behind AxiomProver — the AI mathematician that scored a perfect 12/12 on Putnam 2025 — and AXLE, its public Lean 4 verification engine. This guide walks through installing the Python SDK and CLI, configuring API keys and Lean environments, and using `verify_proof` to build verified-AI pipelines where every output carries a machine-checkable proof.