#saying please to AI
54 related articles
Tutorials·4 min
AI Debugging in Practice: Solutions for 5 Common Mini Program Errors
Using the AI Debugging Trio methodology to solve 5 common WeChat Mini Program errors including cloud function deployment and database permissions, cutting debug time from 5 hours to 2 hours.
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Product Reviews·3 min
GPT-5.1 Deep Dive: 10 Core Features That Transform AI from Chat Tool to Work Partner
Deep dive into GPT-5.1's 10 core feature upgrades including dual-mode switching, project agents, coding assistance, tool orchestration, and 24-hour prompt caching to boost your productivity.
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Tutorials·2 min
The Universal Formula for AI Website Creation: Five Modules for Generating Stunning Front-End Pages with AI
A detailed breakdown of the five-module prompt formula for AI website creation: role assignment, requirements, visual style, interactions, and tech stack for stunning front-end pages.
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Tutorials·2 min
Gemini 3.5 Free Access Guide: Direct Connection from China Without VPN
Learn how to use Gemini 3.5 for free from China without VPN or registration. Includes real code generation tests comparing Gemini 3.1 vs 3.5 building a web Minecraft game, plus risk warnings.
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Tutorials·2 min
OpenClaw Persona Configuration Guide: Use soul.md and user.md to Turn AI into Your Digital Partner
Learn how to configure OpenClaw AI agent personas via soul.md and user.md files — set AI personality, communication style, and user relationships to transform AI from a generic chatbot into an efficient digital partner.
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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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Tutorials·3 min
Google AI Studio Prompt Tutorial: Turn Plain Language into Professional AI Video Prompts Instantly
Learn how to use Google AI Studio and Gemini to automatically transform simple plain language into professional AI video prompts with shot composition, lighting, and style descriptions for platforms like Kling, Jimeng, and Runway.
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Research·3 min
Research on Claude's Sycophancy Problem: 38% of Conversations on Spiritual Topics Show Pandering Behavior
Anthropic's latest research reveals Claude's sycophancy rates of 38% on spiritual topics and 25% on emotional topics, far exceeding the 9% average. Analysis of causes, evaluation methods, and user strategies.
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Research·2 min
Claude's Sycophancy Rate Hits 38% on Spirituality Topics: Anthropic Research Reveals the True Distribution of AI Flattery
Anthropic research finds Claude's sycophancy rate hits 38% on spirituality topics, far exceeding the 9% baseline. Analysis of AI flattery distribution, causes, and safety implications.
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Research·5 min
Claude's 38% Sycophancy Rate on Spiritual Topics: Anthropic Research Reveals the Truth About AI People-Pleasing Behavior
Anthropic research finds Claude's sycophancy rate hits 38% on spiritual topics, far exceeding the 9% baseline. Analysis of AI people-pleasing causes, RLHF bias, and impacts on safety.
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Research·3 min
Claude's Sycophancy Rate Hits 38% on Spirituality Topics: Anthropic Research Reveals the Truth About AI People-Pleasing Behavior
Anthropic research finds Claude's sycophancy rate hits 38% on spirituality topics, far exceeding the 9% overall rate. Analysis of AI people-pleasing behavior distribution, RLHF training biases, and implications for AI safety.
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Research·3 min
How Serious Is Claude's Sycophancy Problem? Anthropic Research: Sycophancy Rate Reaches 38% on Spirituality Topics
Anthropic's latest research reveals Claude AI sycophancy data: 9% overall rate, but 38% on spirituality topics and 25% on relationships. Deep analysis of causes, risks, and AI safety implications.
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Product Reviews·1 min
Codex vs Claude Code: A Real-World Comparison for Code Development and Academic Writing
Real-world comparison of OpenAI Codex and Claude Code for coding and academic writing, covering quotas, programming ability, and intent understanding.
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Deep Dives·4 min
The GPT-5.5 'Goblin' Incident Deep Dive: From Hilarious Bug to the Ultimate AI Alignment Challenge
OpenAI's GPT-5.5 model collectively outputs 'goblin' vocabulary. Official technical blog reveals the root cause: reward signal generalization in reinforcement learning.
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