#closed-loop reinforcement learning
107 related articles
·4 min
Alibaba Plans to Ban Claude Code: The Battle Between Backdoor Risks and Enterprise AI Security
Alibaba reportedly plans to ban Claude Code internally over backdoor and data leakage concerns. A deep dive into enterprise AI security, supply chain trust issues, and what it takes for AI tools to win enterprise adoption.
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·4 min
Claude Code Getting Started Guide: Core Advantages and Selection Recommendations for AI Coding Assistants
Claude Code is Anthropic's local AI coding assistant featuring full project context, auto error correction, and high-accuracy code generation. Compare it with Cursor, Trae, and Codex.
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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
Claude Code Misclassification Appeals Guide: Three Feedback Channels for Optimizing AI Classifiers
Encountering false positives in Claude Code? Learn how to use the /feedback command, thumbs buttons, and other channels to appeal misclassifications and improve AI safety classifiers.
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Beware of Big Tech AI Agents: How to P…
·2 min
Beware of Big Tech AI Agents: How to Protect Your Research Intellectual Property
Are your research code, algorithms, or unpublished papers safe with Big Tech AI agents? This deep dive explores data risks and offers practical protection strategies.
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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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·6 min
Agent Studio: A Unified Platform for Authoring AI Roles and Skills
Agent Studio unifies AI Agent role definition (Subagents) and Skills on one platform, enabling coordinated orchestration through a shared MCP endpoint, progressive disclosure, and moderated community publishing.
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·8 min
The Enterprise AI Flywheel: Building a Model-Eval Loop as a Competitive Moat
The core of enterprise AI isn't calling general models—it's building a self-reinforcing "model-harness-sandbox-eval" flywheel. This article analyzes the four components, tacit knowledge moats, and the "token value per watt" efficiency metric.
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·6 min
The New Normal of AI Programming: How Autonomous Agent Development Is Reshaping Software Engineering
AI Agent autonomous programming is evolving from niche experiments to the industry default. This article analyzes the three stages of AI-assisted programming, its impact on developer skills, process restructuring, and key challenges.
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Industry Insights·2 min
Nadella Introduces the Loopcraft Framework: Building AI Ecosystems Through Feedback Loops
Microsoft CEO Satya Nadella's Loopcraft framework explains how to build frontier AI ecosystems through nested feedback loops across technology, business, and ecosystem dimensions.
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·4 min
The Four Stages of AI Engineering Evolution: From Prompt to Loop Engineering Explained
A systematic breakdown of the four stages of AI engineering: Prompt Engineering, Context Engineering, Runtime Environment Engineering, and Loop Engineering — with core logic, bottlenecks, and real-world use cases.
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·3 min
Hermes Agent: How a Self-Evolving AI Framework Earned 120K Stars in Two Months
Deep dive into Hermes Agent, the open-source AI Agent framework with lower Token costs, persistent long-term memory, and self-learning evolution that earned 120K GitHub stars in two months.
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·3 min
Vibe Coding Practical Guide: Tool Selection, Development Workflow, and Lessons Learned
In-depth analysis of Vibe Coding methodology covering Claude Code, Cursor, and Codex tool strategies, full development workflow tips, and four key principles for avoiding pitfalls in complex systems.
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·3 min
BioAgents: A Multi-Agent AI Framework for Autonomous Research in Biological Sciences
Deep dive into BioAgents multi-agent AI framework: how literature analysis and data scientist agents collaborate for autonomous deep research in biological sciences.
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GPT-5.4 Powers a Drug Chemistry Projec…
·3 min
GPT-5.4 Powers a Drug Chemistry Project: A Complete Closed Loop from Literature Review to Experimental Validation
GPT-5.4 teams with Maria AI and automated labs to complete a full drug chemistry closed loop—from literature review and hypothesis generation to experimental validation.
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·2 min
ChatGPT Schedule Planning Feature Explained: How AI Helps Teams Organize Work Efficiently
A deep dive into ChatGPT's schedule planning feature: coordinate team schedules and assign tasks through natural language. Learn AI planning strategies and practical tips to boost collaboration.
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·4 min
Codewell Hands-On Review: Is This Terminal AI Coding Assistant with Nearly 40K GitHub Stars Actually Worth It?
Hands-on review of Codewell (formerly DeepSeek2E), the open-source terminal AI coding assistant with nearly 40K GitHub stars. Supports 25 LLM providers, local models at zero cost, and MIT license.
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·3 min
7 Practical Configurations for Claude Code + Codex Dual-AI Collaboration
7 practical configurations for Claude Code + OpenAI Codex dual-AI collaboration, from dual-window switching and official plugins to Skills evolution and bidirectional MCP Servers.
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·3 min
Getting Started with Claude Code: Core Advantages, Tool Comparisons, and Installation Guide
Deep dive into Claude Code's core strengths: full project context understanding, top-tier code accuracy, and plugin-based integration. Compares Cursor, Copilot, Trae, and covers setup essentials.
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