#parametric thinking
56 related articles
·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
Reverse-Engineering ChatGPT's Source Selection: What Network Traffic Analysis Reveals About AI Citations
By capturing and analyzing ChatGPT's real network traffic during web retrieval, this article reveals the underlying logic of AI source selection—covering the layered mechanisms of retrieval recall and content filtering, domain preference patterns, and practical insights for content creators and SEO professionals.
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·6 min
Vibecoding in Practice: Architecture Trade-offs and Implementation of a Dual-Engine TTS Router
Alibaba Cloud vs Volcano Engine TTS: why "I want both" is the mature engineering decision. Dual-engine routing design, priority trap debugging, and vibecoding-powered implementation.
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·7 min
ByteDance and Alibaba Halt Anthropomorphic AI Agents: Industry Upheaval Amid Tightening Regulation
ByteDance and Alibaba ban highly anthropomorphic custom AI agents ahead of new regulations. Analysis of the reasons, tightening regulatory frameworks, and impact on the AI Agent industry.
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·3 min
Harness Architecture Explained: The Next-Generation Design Paradigm for Agent Development
A deep dive into Harness Architecture — the next-gen Agent design paradigm. Covers its evolution from prompt engineering and context engineering, multi-agent collaboration, sandbox security, feedback loops, and why it's a must-have for LLM developer interviews.
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·2 min
AI Large Model Development Learning Path: A Complete Guide from Zero to Enterprise Projects
A complete learning roadmap for AI large model development — covering Transformer, Prompt Engineering, RAG, LangChain, Agent development, fine-tuning, and deployment.
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·3 min
Fixing the Three Big Weaknesses of LLMs: Knowledge, Computation, and Tool Use
LLMs struggle with knowledge accuracy, math, and external capabilities. This article explains three prompt engineering solutions — generated knowledge prompting, PAL/PoT, and tool use — to systematically strengthen LLM reliability and build better AI Agents.
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·7 min
AI Agent Development: A Four-Stage Competency Model from 15K to 40K RMB Salary Growth Path
A detailed four-stage competency model for AI Agent development: from Python/RAG basics (15K) to workflow orchestration (20K), inference optimization (30K), and Agent cluster governance (40K RMB).
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·3 min
GitHub AI Weekly Rankings: Agent Infrastructure Projects Dominate, Toolchain Ecosystem Taking Shape
June 2026 Week 1 GitHub AI trends: Agent infrastructure projects like Hedron and MarkItDown dominate, as context compression, document parsing, memory systems, and aesthetic toolchains rapidly mature.
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·4 min
Codex Hands-On Tutorial: From Installation and Configuration to Enterprise-Level Project Development
A complete guide to OpenAI Codex covering installation, CLI interaction, agents.md design, Rules governance, MCP protocol integration, and multi-agent collaboration, with a hands-on RAG customer service project.
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Product Reviews·3 min
Photoshop 2025 Deep Dive: Seven New Features Including AI Retouching and 3D's Return
Deep dive into Photoshop 2025's seven new features: 3D object support returns, Find Distractions removes wires and people, Firefly Model 3 upgrades generation quality, Generative Workspace enables batch creation, with detailed comparisons and usage tips.
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Product Reviews·3 min
Context Mode: How One MCP Plugin Cured AI Coding Assistants' Amnesia
Context Mode solves AI coding assistants' context amnesia via sandbox isolation, session continuity tracking, and code-thinking philosophy—compressing context consumption by 99% and earning 9,700 Stars in two months.
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Tutorials·3 min
Frontend Engineers Leveling Up to AI Agents: LangGraph.js Architecture Design & Practical Guide
How can frontend engineers advance into AI Agent development? This guide covers LangGraph.js core architecture (state, nodes, edges), LangChain comparison, and workflow agent design with practical examples.
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Tutorials·3 min
Learning LLM Application Development from Scratch: A Complete Roadmap from RAG to Agent
How to start LLM application development from scratch? A complete roadmap covering Python basics, RAG knowledge bases, and Agent development with LangChain.
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Product Reviews·1 min
ChatGPT for PowerPoint Hands-On Review: Complete AI Presentation Workflow & Effectiveness Assessment
Detailed walkthrough of ChatGPT and PowerPoint deep integration workflow—from multi-source material integration and AI outline generation to slide-by-slide optimization with real-world assessment.
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Product Reviews·3 min
CowAgent Open-Source AI Agent Deep Dive: The Super Intelligent Assistant with 44K GitHub Stars
A deep dive into CowAgent, the 44K-star open-source AI Agent on GitHub. Supports WeChat, WeCom, Feishu, and more, with DeepSeek, GPT-4o, Claude compatibility and full Agent capabilities.
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