#peer learning
274 related articles
·4 min
Getting Started with AI Agent Development: Core Mindset and Learning Path for Beginners
Intimidated by AI Agent development? This article breaks down the two biggest beginner pain points and reveals why the real skill isn't memorizing APIs, but mastering requirement decomposition, workflow design, and problem-solving.
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·2 min
Mitsubishi UFJ Partners with OpenAI: A Complete Roadmap for Building an AI-Native Bank
Japan's MUFG partners with OpenAI to build an AI-native bank — deploying ChatGPT Enterprise, AI Bankers, and an AI Concierge to reshape culture, operations, and customer experience.
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·4 min
Claude Science Launch: Anthropic's AI Assistant Built for End-to-End Scientific Research
Anthropic launches Claude Science (beta), a research-focused AI app with artifact traceability, on-demand environments, and 60+ scientific database integrations.
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·6 min
Coze from Scratch: A Complete Guide to Building Multi-Agent Collaboration
A detailed guide to Coze's core features: cross-platform interoperability, the Skills system, multi-agent collaboration, and workflow building. Compare Coze and Dify to build practical AI apps with zero coding.
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·7 min
Learning Python from Scratch: A Complete Guide to the Three-Stage Learning Path
Want to learn Python from scratch but don't know where to begin? This article breaks down three stages—basic syntax, advanced mastery, and hands-on practice—with real projects in crawling, automation, and data analysis to help you build programming thinking.
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Amazon MTurk Closes to New Customers: …
·4 min
Amazon MTurk Closes to New Customers: The End of the Crowdsourcing Era and the AI Revolution
Amazon MTurk stops accepting new customers after nearly 20 years. Explore its legacy in AI training and academic research, and how LLMs are reshaping the data annotation industry.
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·5 min
A Programmer's Guide to Large Language Models: The Complete Path from Prompts to Agents
A tailored large-model learning path for ordinary programmers: from prompt engineering, API calls, and LangChain, to RAG, Agents, fine-tuning, and enterprise deployment—six steps to build AI application skills fast.
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·6 min
Codex China Direct Access Tutorial: Guide to Using DeepSeek as a ChatGPT Replacement
Use Codex without a ChatGPT account! This guide explains a China direct access solution for integrating the DeepSeek API via the Codex++ management tool.
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·5 min
The Rise of Slow Content: A Tweet Sparks Reflection on the Attention Economy and Content Creation
A tweet about "live streaming reading a book aloud" reflects the deep dilemma of content creators in the attention economy. This article explores the revival of slow content, the irreplaceability of the human voice in the AI era, and lessons on content differentiation.
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·6 min
GLM 5.2 Arrives: Industry Upheaval on the Eve of AI Margin Collapse
The rise of Zhipu's GLM 5.2 is accelerating the democratization of LLM capabilities. This article analyzes the commoditization of foundation models, the logic behind margin collapse, and the opportunities and challenges facing application-layer and foundation model firms.
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Leanstral 1.5: AI-Assisted Formal Proo…
·3 min
Leanstral 1.5: AI-Assisted Formal Proofs, Making Lean Theorem Verification Accessible to All
Leanstral 1.5 combines LLMs with Lean theorem proving to lower the barrier to formal proofs. Explore its core value, technical approach, and how AI can make formal mathematics accessible to all.
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·6 min
Inside the AI Workday of Thomson Reuters' CEO: How Leaders Drive Enterprise Transformation by Example
Thomson Reuters CEO Steve Hasker shares his personal AI routine: analyzing documents, managing his calendar, and gaining insights every Monday. A look at how leaders drive real enterprise AI transformation through practice and continuous learning.
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·7 min
The Complete Guide to Agent Skills: Principles, Structure & Practical Applications
Deep dive into AI Agent Skills: SKILL.md file structure, four component modules, differences from prompts, and practical scenarios for frontend generation, PPT creation, and more.
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·5 min
Loop Engineering: A Comprehensive Guide to AI Agent Loop Design
A deep dive into Loop Engineering for AI Agents — what loop feedback mechanisms are, how they differ from Harness Engineering, and a complete guide from principles to production implementation.
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·4 min
How to Subscribe to Claude in China Without Getting Banned: Registration, Payment, and API Guide
How can users in China safely subscribe to Claude and avoid getting banned? This guide covers email selection, phone verification, payment channels, refund requests, and using the official API as a long-term alternative to personal subscriptions.
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·2 min
Python + AI Learning Roadmap for Beginners: A Complete Guide from Basics to Practice
New to Python and AI? This guide breaks down Linux, MySQL, and Python into clear learning modules with goals and benchmarks — helping beginners build a solid, executable roadmap from day one.
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·7 min
Andrew Ng Teams Up with LangChain: Core Principles of LangGraph Agent Development
Andrew Ng and LangChain CEO Harrison Chase present AI Agents in LangGraph, covering five core agent design patterns and LangGraph's graph-based framework for building cyclical agentic workflows.
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·7 min
Andrew Ng Teams Up with LangChain: Core Concepts of LangGraph Agent Development
Andrew Ng and LangChain CEO Harrison Chase's AI Agents in LangGraph course covers five agent design patterns and LangGraph's graph-based framework for building cyclical AI workflows.
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·4 min
AirDrop and Quick Share Security Vulnerabilities: Hidden Risks in Wireless Transfer Protocols
A deep dive into AirDrop and Quick Share wireless transfer protocol security — covering device discovery, handshake auth, data parsing attack surfaces, and practical defense recommendations.
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AI Tutor Achieves Effect Size of 1.30:…
·5 min
AI Tutor Achieves Effect Size of 1.30: How Dartmouth's Experiment Approaches Education's 'Two Sigma' Holy Grail
Dartmouth's latest study shows an AI tutor system achieving 0.71–1.30 SD learning effect sizes in a real course, far exceeding most educational interventions. We examine what these numbers mean and why caution is still warranted.
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