#STORM Stanford
18 related articles
·3 min
Gemini's Hilarious Reply Goes Viral on Reddit: A Deep Dive into the AI Personification Trend
Google Gemini went viral on Reddit for a humorous reply, dubbed an "undercover wasp." This article explores the technical origins of AI humor, RLHF-driven personality shaping, and the future of AI personification.
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·4 min
Building an AI-Automated Topic Selection System: A Practical Guide to the Three-Dimension Method
Learn how Bilibili creator JK built an AI-automated topic selection system using Codex and Feishu — covering the three-dimension method: practice, trending topics, and benchmarking.
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Forward Deployed Engineer (FDE): The M…
·2 min
Forward Deployed Engineer (FDE): The Most In-Demand Role in the Age of AI Deployment
Forward Deployed Engineers (FDEs) are the hottest emerging role in AI. Learn what FDEs do, what skills they need, why companies like Palantir and OpenAI can't hire enough of them, and what this means for your career.
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·5 min
AI Coding Getting Worse With Every Edit? Skills v1.1 Reveals the Real Cause and Solution
AI code getting messier with edits? The root cause isn't weak model capability but a lack of context and process. A deep dive into Matt Pocock's Skills v1.1: grilling, vertical-slice tickets, TDD, and WebFinder.
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·2 min
500+ AI Research Tools: Automating the Entire Research Workflow
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.
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·3 min
SJTU Professors Open-Source Agent Tutorial: A Four-Stage Path from Zero to AI Engineer
SJTU professors open-source a 4-stage Agent tutorial on GitHub, covering LLM basics, ReAct, multi-agent systems, and real-world projects — a practical path to AI engineering.
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Embracing AI in the Classroom: A Teach…
·3 min
Embracing AI in the Classroom: A Teaching Experiment in Co-Creating Classroom Contracts with Students
One teacher chose not to ban AI but to co-create a classroom contract with students. This article examines the logic, contract design, and educational philosophy behind this teaching experiment.
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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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Expert Opinions·2 min
Outdoor Coding: You Can Touch Grass AND Build Things
When AI coding assistants free developers from their desks, outdoor coding becomes a real trend. Explore how cloud IDEs, voice coding, and AI tools enable creativity in nature.
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·4 min
Claude Code Beginner's Guide: From Installation and Configuration to Hands-On Projects
Complete Claude Code beginner's guide covering Git, VS Code setup, third-party model integration, permissions, Tools, Hooks, Skills, SubAgents, and a hands-on project walkthrough.
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·4 min
Kimi Agent Cluster in Practice: One Person Commanding 300 AIs to Collaboratively Build a Website
Deep dive into Kimi Work Agent cluster's three collaboration architectures, with a hands-on demo of 300 AI agents building a website in parallel, covering requirements breakdown, multi-Agent coding, and auto-deployment.
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·3 min
Gemini 5.2 in Claude Code: Real-World Testing — Does It Crush Opus on Cost-Effectiveness?
Real-world testing of Gemini 5.2 in Claude Code vs Opus across web design, coding, creative tasks, and Storm research — analyzing the open-source model's cost advantage and ideal use cases.
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·3 min
Andrew Ng's Advanced AI Prompting Guide: Core Methods for Going from Beginner to Expert
Based on Andrew Ng's latest AI prompting tutorial, learn the core gaps between beginners and experts: providing context, overcoming sycophancy, iterative workflows, and four key principles.
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·3 min
Vibe Coding in Practice: A Junior Student Uses Cursor to Build a Multi-Agent System with 51 AI Officials Based on the Three Departments and Six Ministries Framework
A junior student uses Cursor and Vibe Coding to build a multi-agent system with 51 AI officials modeled on China's Three Departments and Six Ministries, featuring task distribution, approval workflows, and Token cost visualization.
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·3 min
Andrew Ng's AI Prompting Guide: Four Key Gaps Between Beginners and Experts
Andrew Ng's AI prompting methodology reveals four core gaps between beginners and experts: deep thinking, sufficient context, neutral questioning, and iterative writing. Applicable to ChatGPT, Claude, Gemini, and all major AI tools.
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Expert Opinions·3 min
Windsurf CEO Deep Dive Interview: Speed Is the Only Moat
Windsurf CEO Varun Mohan shares insights on AI coding IDE pivots, product methodology, async Agent challenges, and differentiation strategy vs Cursor. Speed is the only moat.
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Product Reviews·4 min
Manus Hands-On Review: Testing a General-Purpose AI Agent Across Three Real-World Scenarios
Hands-on testing of Manus general AI Agent across history report generation, Tesla stock analysis, and GAIA benchmarks. Compares vertical vs general agents with scoring data and limitation analysis.
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Tutorials·3 min
Andrew Ng's 2026 New Course: 4 Core Techniques to Go from AI Prompting Beginner to Expert
Andrew Ng's 2026 AI prompting course: master 4 core principles from context-giving and deep thinking to overcoming sycophancy and iterative workflows.
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