#reinforcement learning
1489 related articles
·2 min
Claude Code Deep Dive: Why It's the Most Powerful AI Coding Tool
A deep dive into Claude Code's core strengths: agentic coding, full project context, and auto-debugging — compared against Cursor, Trae, and Codex to help developers choose the best AI coding tool.
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·3 min
AI Agent 101: Understanding Perception, Decision-Making, and Action Through Team Collaboration
New to AI Agents? This article uses a startup team analogy to break down the three core capabilities — Perception, Decision-Making, and Action — helping you build a mental model from scratch.
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·6 min
What Is Vibe Coding? A Complete Breakdown of the LLM + Agent + Workflow Three-Layer Architecture
Vibe Coding, coined by ex-Tesla AI Director Karpathy, redefines AI programming. This article breaks down the LLM + Agent + Workflow three-layer architecture.
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·6 min
Claude Team Edition Launches as Encrypted Reasoning Controversy Sparks AI Transparency Debate
Anthropic launches Claude for team collaboration while encrypted reasoning controversy erupts. Plus Sakana AI's routing model and OpenAI's alignment research breakthroughs.
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·3 min
Liang Wenfeng and DeepSeek: How an Idealist Is Disrupting Global AI with Algorithmic Efficiency
Why did DeepSeek go open-source? How does a 300-person team beat tech giants? A deep dive into Liang Wenfeng's logic: flat org, algorithmic efficiency, and open-source disruption.
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·2 min
Getting Started with Codex: Why Frontend Developers Prefer It Over Cursor or Claude Code
A deep comparison of Codex, Cursor, and Claude Code — pricing, stability, and frontend vs. backend fit. Why frontend developers prefer the Codex app, based on one developer's real migration experience.
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·3 min
Andrew Ng's Prompt Engineering Course: How Developers Call LLMs via API
A systematic overview of Andrew Ng's ChatGPT Prompt Engineering for Developers course: base vs. instruction-tuned models, API best practices, and two core prompting principles.
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GPT-5.5 Codex Reasoning-Token Clusteri…
·2 min
GPT-5.5 Codex Reasoning-Token Clustering Explained: Causes of Performance Regression and How to Respond
An in-depth look at reasoning-token clustering in GPT-5.5 Codex — exploring causes like reasoning budget imbalance and model iteration side effects, with prompt engineering strategies for developers.
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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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·4 min
AI Weekly: Top Coding Model Returns, Google's New Flash Checkpoint, and the Video Generation Race
This week in AI: Anthropic's flagship coding model returns globally with new safety classifiers, Google tests a new Gemini Flash checkpoint, video generation heats up, and Figure AI robots enter BMW factories.
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·3 min
Grok CLI + Fish Audio in Practice: Building a Full-Stack AI Voice Studio at Zero Cost
Fish Audio offers free S2.1 Pro TTS API in 83 languages. See how creator KatKat used Grok CLI's Composer 2.5 and DeepSeek to build Voxweaver Studio in 42 minutes.
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·3 min
Programmer's Guide to the AI Era: Application Development Is a Real Opportunity for Ordinary Developers
Too hard to become an algorithm engineer? Too basic to just use AI tools? This guide breaks down the three levels of AI adoption for programmers, with a focus on Agent development and large model engineering — including salaries, timelines, and window risks.
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GPT-5.6 Sol Deep Dive: Major Upgrades …
·3 min
GPT-5.6 Sol Deep Dive: Major Upgrades Across Coding, Science, and Cybersecurity
OpenAI previews GPT-5.6 Sol, featuring major upgrades in coding, scientific research, and cybersecurity alongside its most advanced safety stack yet.
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ChatGPT's Global Surge: Deeper Engagem…
·3 min
ChatGPT's Global Surge: Deeper Engagement, Broader Feature Adoption, and Multilingual Expansion
OpenAI's latest Signals data shows ChatGPT's global adoption surging — with higher usage frequency, broader feature exploration across multimodal scenarios, and expansion into more languages and regions.
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Pliny's Jailbreak Experiments Reveal t…
·2 min
Pliny's Jailbreak Experiments Reveal the Deep Tensions Between AI Safety and Open-Source Models
Pliny the Liberator's satirical tweet exposes core issues in AI safety and open-source governance — from alignment failures to open-weight risks and AGI hype.
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·4 min
Tencent Marvis Hands-On: How Multi-Agent AI Takes Over Your Computer
Deep dive into Tencent's Marvis AI agent: multi-agent architecture, intelligent file organization, document analysis, cross-device sync, and local privacy mode explained.
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·8 min
The Codex Orange Book: An Open-Source Full-Stack Practical Guide for AI Programming Beginners
The Codex Orange Book is an open-source unofficial guide with 2.5K+ GitHub Stars, covering installation, plugins, MCP extensions, and hands-on projects to help beginners master AI programming tools.
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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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·7 min
Building an AI Agent from Scratch: Implementing Core Conversational Agent Features in Python
Learn AI Agent development from scratch. This tutorial covers LLMs and prompts, then builds a conversational agent in Python using the DeepSeek API with multi-turn dialogue and system prompts.
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·7 min
A New Core Skill for Programmers: How to Effectively Lead Your AI Agent Dev Squad
Coding alone isn't enough anymore. Learn the 5 key steps to commanding AI Agents—define outcomes, split tasks, provide context, iterate small, and keep humans in the loop.
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