#Agent Constitution
269 related articles
·7 min
GPT-5.6 and Grok 4.5 Launch Simultaneously, Meta Unveils Agent-Based Image Model
OpenAI GPT-5.6 expands its preview, xAI Grok 4.5 opens access at the same time, Meta releases the Agent-based Muse Image model and Muse Video model, while Apple and DeepSeek launch in-house AI inference chip programs. A quick look at the week's five biggest AI stories.
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·4 min
AI Agents Powering the Full Research Pipeline: A Practical Guide to Automation from Topic Selection to Publication
Learn how to use AI Agents to link the entire research pipeline—from literature management, data analysis, and paper writing to scientific illustration and dissemination—building a reusable research automation workflow with NotebookLM, N8N, and Ollama.
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·4 min
GPT-5.6 Launches: Flagship Model Sol Personally Trains Smaller Models, Recursive AI Self-Improvement Becomes Reality
OpenAI releases the GPT-5.6 series (Sol/Terra/Luna), with flagship Sol directly handling smaller model Luna's post-training—marking recursive AI self-improvement in practice. A deep dive into performance, cost, ChatGPT Work, and computer use design leaps.
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·5 min
Alibaba Bans Claude Code: Invisible Fingerprints and the AI Tool Trust Crisis
Alibaba has banned Claude Code as high-risk software. Reverse engineering revealed a covert environment-identification mechanism hiding user fingerprints in punctuation via prompt steganography. A deep dive into the incident and AI tool trust.
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·7 min
Grok 4.5 Launch: Coding AI Market Reshuffle, Anthropic Claims Half the Territory
Grok 4.5 launches at just $0.49 per task, 90% cheaper than rivals. Anthropic's Claude Code claims 50% of the AI coding market. SambaNova raises $1B. Read the latest AI market shifts.
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·3 min
Arrested at the Church Door: The Deep Conflict Between U.S. Immigration Enforcement and Religious Freedom
A Catholic nun was arrested by ICE outside a Texas church en route to Mass, drawing bipartisan intervention. The case exposes the systemic clash between Trump's immigration enforcement and religious freedom after sensitive location protections were rescinded.
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·5 min
ECC: An Agent Enhancement Framework for AI Coding Assistants — Five Core Capabilities Explained
ECC is an agent optimization framework for AI coding assistants like Claude Code, Cursor, and Codex, enhancing them with skills, memory, security, and research-first development capabilities.
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·6 min
Cross-Model Review Between Claude and Codex: A Practical Workflow to Systematically Eliminate AI Code Bugs
Vibe Coding saves time but leaves piles of bugs? This article details the cross-model review workflow: Claude generates, Codex auto-reviews, with Stop Hook and Skill mechanisms building an AI code review system that intercepts problems automatically.
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·6 min
GPT-5.6 Now Widely Available: The Era of Three-Tier Models and Multi-Agent Orchestration Arrives
OpenAI releases GPT-5.6 (SOUL/TERRA/LUNA), with Ultra mode running four agents in parallel; Meta launches Muse Spark 1.1 with million-token context; ChatGPT desktop unifies Chat, Work, and Codex.
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·6 min
Bernanke Joins the Anthropic Trust: A Breakthrough Approach to AI Corporate Governance
Former Fed Chair Bernanke joins Anthropic's Long-Term Benefit Trust, marking AI governance's entry into the era of cross-disciplinary experts. A deep look at Anthropic's unique trust structure and its impact on responsible AI.
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·6 min
Cursor Meets Grok 4.5: A Hands-On Test of an AI Coding Assistant That's 5x Faster with Cleaner Output
A developer deeply tests Grok 4.5 High Fast in Cursor, finding it rivals Claude Opus in quality but runs 5x faster with cleaner, filler-free output. Full hands-on review and analysis.
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·6 min
GPT-5.6 Fully Available: A Deep Dive into the Sol/Terra/Luna Three-Tier Models and Four-Agent Parallelism
GPT-5.6 is now officially available to all users, launching the three-tier Sol, Terra, and Luna models with four-agent parallelism. An in-depth look at the official benchmarks, API pricing, safety, and Ultra mode.
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·6 min
Vibe Coding in Practice at Big Tech: How Frontend Engineers Can Avoid Being Replaced in the AI Era
A big-tech interviewer reveals: junior/mid frontend dev is being replaced by AI. This article breaks down 3 core Vibe Coding interview questions to help you master key skills for the AI-assisted coding era.
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·4 min
Grok vs GPT vs Claude: Which AI is the Best Coding Assistant?
Grok 4.5, GPT-5.5, and Claude go head-to-head on the same coding tasks. A deep comparison of code quality, UI design, and engineering standards to help you choose the right AI coding assistant.
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·4 min
Reinforcement Learning for AI Agents: A Deep Dive into RLHF and Agentic RL
A deep dive into RL for AI agents: from RLHF to Agentic RL, covering PPO vs. GRPO, sparse rewards, tool-calling optimization, and verifiable rewards.
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·7 min
Demystifying Claude Code's Harness in 60 Lines of Python: The Core of AI Coding Tool Performance Differences
The same model scores 77% in Claude Code but jumps to 93% in Cursor—the only variable is the Harness. This article dissects how AI coding tools work in 60 lines of Python.
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·6 min
Prompt Engineering in Practice: A Programmer's Core Methodology for Tuning Prompts
An in-depth analysis of prompt engineering from a programmer's perspective: understand token probability generation, master the three principles—specific, rich, low-ambiguity—and learn iterative prompt tuning.
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·7 min
Prompt Engineering in Practice: A Programmer's Core Methodology for Prompt Tuning
A deep dive into the underlying logic of prompt engineering from a programmer's perspective: understand token-probability generation, master the three principles of specific, rich, and low-ambiguity, and learn iterative prompt tuning.
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·7 min
LLM Evaluation: The Testing Industry's Scarcest Career Pivot and the Timing to Enter
LLM evaluation roles are growing over 100% year-over-year, with top companies offering 50K/month yet unable to fill positions. This article explores how testing pros can seize the window.
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·2 min
AI App Development in Practice: Why Prompts Are the Core of Your Product
A veteran AI app developer's real-world experience reveals: what determines success for knowledge bases and Agents isn't model choice — it's prompt design.
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